From c5d3ee47f3a21b42bbdfc22bea092fcc0e7b897f Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Tue, 16 May 2023 11:27:20 -0700 Subject: [PATCH 01/34] Add B/16 datacompxl CLIP weights --- timm/models/vision_transformer.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/timm/models/vision_transformer.py b/timm/models/vision_transformer.py index e0f0bdfd47..0104e00701 100644 --- a/timm/models/vision_transformer.py +++ b/timm/models/vision_transformer.py @@ -1293,6 +1293,10 @@ def _cfg(url='', **kwargs): hf_hub_id='laion/CLIP-ViT-B-16-laion2B-s34B-b88K', hf_hub_filename='open_clip_pytorch_model.bin', mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, crop_pct=1.0, num_classes=512), + 'vit_base_patch16_clip_224.datacompxl': _cfg( + hf_hub_id='laion/CLIP-ViT-B-16-DataComp.XL-s13B-b90K', + hf_hub_filename='open_clip_pytorch_model.bin', + mean=OPENAI_CLIP_MEAN, std=OPENAI_CLIP_STD, crop_pct=1.0, num_classes=512), 'vit_large_patch14_clip_224.laion2b': _cfg( hf_hub_id='laion/CLIP-ViT-L-14-laion2B-s32B-b82K', hf_hub_filename='open_clip_pytorch_model.bin', From 960202cfcc5630374908c97154ddba4d75c3356b Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Tue, 16 May 2023 11:27:47 -0700 Subject: [PATCH 02/34] Dev version 0.9.3 for main --- timm/version.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/timm/version.py b/timm/version.py index 1f0478037d..bb6f2f0706 100644 --- a/timm/version.py +++ b/timm/version.py @@ -1 +1 @@ -__version__ = '0.9.2' +__version__ = '0.9.3dev0' From ea1f52df3e0ad67b61d0ee19518a4ca6ef3d5de6 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=96=B9=E6=9B=A6?= Date: Wed, 17 May 2023 11:39:29 +0800 Subject: [PATCH 03/34] add ViT for Segment-Anything Model --- timm/models/__init__.py | 1 + timm/models/vision_transformer_sam.py | 610 ++++++++++++++++++++++++++ 2 files changed, 611 insertions(+) create mode 100644 timm/models/vision_transformer_sam.py diff --git a/timm/models/__init__.py b/timm/models/__init__.py index c24f136f53..8f56b5f156 100644 --- a/timm/models/__init__.py +++ b/timm/models/__init__.py @@ -60,6 +60,7 @@ from .vision_transformer import * from .vision_transformer_hybrid import * from .vision_transformer_relpos import * +from .vision_transformer_sam import * from .volo import * from .vovnet import * from .xception import * diff --git a/timm/models/vision_transformer_sam.py b/timm/models/vision_transformer_sam.py new file mode 100644 index 0000000000..98c0096db1 --- /dev/null +++ b/timm/models/vision_transformer_sam.py @@ -0,0 +1,610 @@ +""" Vision Transformer (ViT) in PyTorch + +A PyTorch implement of Vision Transformers as described in: + +'Exploring Plain Vision Transformer Backbones for Object Detection' + - https://arxiv.org/abs/2203.16527 + +'Segment Anything Model (SAM)' + - https://github.com/facebookresearch/segment-anything/ + +""" +import logging +from functools import partial +from typing import Callable, Optional, Tuple + +import torch +import torch.nn as nn +import torch.nn.functional as F +import torch.utils.checkpoint + +from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD, IMAGENET_INCEPTION_MEAN, IMAGENET_INCEPTION_STD +from timm.layers import PatchEmbed, Mlp, DropPath, PatchDropout, LayerNorm2d, ClassifierHead, Format +from ._builder import build_model_with_cfg +from ._manipulate import checkpoint_seq +from ._registry import generate_default_cfgs, register_model + +# model_registry will add each entrypoint fn to this +__all__ = ['VisionTransformerSAM'] + + +_logger = logging.getLogger(__name__) + + +class Attention(nn.Module): + + def __init__( + self, + dim, + num_heads=8, + qkv_bias=True, + qk_norm=False, + attn_drop=0., + proj_drop=0., + norm_layer=nn.LayerNorm, + use_rel_pos: bool = False, + rel_pos_zero_init: bool = True, + input_size: Optional[Tuple[int, int]] = None, + ): + super().__init__() + assert dim % num_heads == 0, 'dim should be divisible by num_heads' + self.num_heads = num_heads + self.head_dim = dim // num_heads + self.scale = self.head_dim ** -0.5 + + self.qkv = nn.Linear(dim, dim * 3, bias=qkv_bias) + self.q_norm = norm_layer(self.head_dim) if qk_norm else nn.Identity() + self.k_norm = norm_layer(self.head_dim) if qk_norm else nn.Identity() + self.attn_drop = nn.Dropout(attn_drop) + self.proj = nn.Linear(dim, dim) + self.proj_drop = nn.Dropout(proj_drop) + self.use_rel_pos = use_rel_pos + if self.use_rel_pos: + assert ( + input_size is not None + ), "Input size must be provided if using relative positional encoding." + # initialize relative positional embeddings + self.rel_pos_h = nn.Parameter(torch.zeros( + 2 * input_size[0] - 1, self.head_dim)) + self.rel_pos_w = nn.Parameter(torch.zeros( + 2 * input_size[1] - 1, self.head_dim)) + + def forward(self, x): + B, H, W, _ = x.shape + # qkv with shape (3, B, nHead, H * W, C) + qkv = self.qkv(x).reshape( + B, H * W, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4) + # q, k, v with shape (B * nHead, H * W, C) + q, k, v = qkv.unbind(0) + q, k, v = qkv.reshape(3, B * self.num_heads, H * W, -1).unbind(0) + q, k = self.q_norm(q), self.k_norm(k) + + attn = (q * self.scale) @ k.transpose(-2, -1) + + if self.use_rel_pos: + attn = add_decomposed_rel_pos( + attn, q, self.rel_pos_h, self.rel_pos_w, (H, W), (H, W)) + + attn = attn.softmax(dim=-1) + attn = self.attn_drop(attn) + x = (attn @ v).view(B, self.num_heads, H, W, - + 1).permute(0, 2, 3, 1, 4).reshape(B, H, W, -1) + x = self.proj(x) + + return x + + +class LayerScale(nn.Module): + def __init__(self, dim, init_values=1e-5, inplace=False): + super().__init__() + self.inplace = inplace + self.gamma = nn.Parameter(init_values * torch.ones(dim)) + + def forward(self, x): + return x.mul_(self.gamma) if self.inplace else x * self.gamma + + +class Block(nn.Module): + + def __init__( + self, + dim, + num_heads, + mlp_ratio=4., + qkv_bias=True, + qk_norm=False, + proj_drop=0., + attn_drop=0., + init_values=None, + drop_path=0., + act_layer=nn.GELU, + norm_layer=nn.LayerNorm, + mlp_layer=Mlp, + use_rel_pos=False, + window_size=0, + input_size=None, + ): + super().__init__() + self.window_size = window_size + self.norm1 = norm_layer(dim) + self.attn = Attention( + dim, + num_heads=num_heads, + qkv_bias=qkv_bias, + qk_norm=qk_norm, + attn_drop=attn_drop, + proj_drop=proj_drop, + norm_layer=norm_layer, + use_rel_pos=use_rel_pos, + input_size=input_size if window_size == 0 else ( + window_size, window_size), + ) + self.ls1 = LayerScale( + dim, init_values=init_values) if init_values else nn.Identity() + self.drop_path1 = DropPath( + drop_path) if drop_path > 0. else nn.Identity() + + self.norm2 = norm_layer(dim) + self.mlp = mlp_layer( + in_features=dim, + hidden_features=int(dim * mlp_ratio), + act_layer=act_layer, + drop=proj_drop, + ) + self.ls2 = LayerScale( + dim, init_values=init_values) if init_values else nn.Identity() + self.drop_path2 = DropPath( + drop_path) if drop_path > 0. else nn.Identity() + + def forward(self, x): + shortcut = x + x = self.norm1(x) + # Window partition + if self.window_size > 0: + H, W = x.shape[1], x.shape[2] + x, pad_hw = window_partition(x, self.window_size) + + x = self.drop_path1(self.ls1(self.attn(x))) + # Reverse window partition + if self.window_size > 0: + x = window_unpartition(x, self.window_size, pad_hw, (H, W)) + + x = shortcut + x + x = x + self.drop_path2(self.ls2(self.mlp(self.norm2(x)))) + + return x + + +def window_partition(x: torch.Tensor, window_size: int) -> Tuple[torch.Tensor, Tuple[int, int]]: + """ + Partition into non-overlapping windows with padding if needed. + Args: + x (tensor): input tokens with [B, H, W, C]. + window_size (int): window size. + + Returns: + windows: windows after partition with [B * num_windows, window_size, window_size, C]. + (Hp, Wp): padded height and width before partition + """ + B, H, W, C = x.shape + + pad_h = (window_size - H % window_size) % window_size + pad_w = (window_size - W % window_size) % window_size + if pad_h > 0 or pad_w > 0: + x = F.pad(x, (0, 0, 0, pad_w, 0, pad_h)) + Hp, Wp = H + pad_h, W + pad_w + + x = x.view(B, Hp // window_size, window_size, + Wp // window_size, window_size, C) + windows = x.permute(0, 1, 3, 2, 4, 5).contiguous( + ).view(-1, window_size, window_size, C) + return windows, (Hp, Wp) + + +def window_unpartition( + windows: torch.Tensor, window_size: int, pad_hw: Tuple[int, int], hw: Tuple[int, int] +) -> torch.Tensor: + """ + Window unpartition into original sequences and removing padding. + Args: + windows (tensor): input tokens with [B * num_windows, window_size, window_size, C]. + window_size (int): window size. + pad_hw (Tuple): padded height and width (Hp, Wp). + hw (Tuple): original height and width (H, W) before padding. + + Returns: + x: unpartitioned sequences with [B, H, W, C]. + """ + Hp, Wp = pad_hw + H, W = hw + B = windows.shape[0] // (Hp * Wp // window_size // window_size) + x = windows.view(B, Hp // window_size, Wp // window_size, + window_size, window_size, -1) + x = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(B, Hp, Wp, -1) + + if Hp > H or Wp > W: + x = x[:, :H, :W, :].contiguous() + return x + + +def get_rel_pos(q_size: int, k_size: int, rel_pos: torch.Tensor) -> torch.Tensor: + """ + Get relative positional embeddings according to the relative positions of + query and key sizes. + Args: + q_size (int): size of query q. + k_size (int): size of key k. + rel_pos (Tensor): relative position embeddings (L, C). + + Returns: + Extracted positional embeddings according to relative positions. + """ + max_rel_dist = int(2 * max(q_size, k_size) - 1) + # Interpolate rel pos if needed. + if rel_pos.shape[0] != max_rel_dist: + # Interpolate rel pos. + rel_pos_resized = F.interpolate( + rel_pos.reshape(1, rel_pos.shape[0], -1).permute(0, 2, 1), + size=max_rel_dist, + mode="linear", + ) + rel_pos_resized = rel_pos_resized.reshape( + -1, max_rel_dist).permute(1, 0) + else: + rel_pos_resized = rel_pos + + # Scale the coords with short length if shapes for q and k are different. + q_coords = torch.arange(q_size)[:, None] * max(k_size / q_size, 1.0) + k_coords = torch.arange(k_size)[None, :] * max(q_size / k_size, 1.0) + relative_coords = (q_coords - k_coords) + \ + (k_size - 1) * max(q_size / k_size, 1.0) + + return rel_pos_resized[relative_coords.long()] + + +def add_decomposed_rel_pos( + attn: torch.Tensor, + q: torch.Tensor, + rel_pos_h: torch.Tensor, + rel_pos_w: torch.Tensor, + q_size: Tuple[int, int], + k_size: Tuple[int, int], +) -> torch.Tensor: + """ + Calculate decomposed Relative Positional Embeddings from :paper:`mvitv2`. + https://github.com/facebookresearch/mvit/blob/19786631e330df9f3622e5402b4a419a263a2c80/mvit/models/attention.py + Args: + attn (Tensor): attention map. + q (Tensor): query q in the attention layer with shape (B, q_h * q_w, C). + rel_pos_h (Tensor): relative position embeddings (Lh, C) for height axis. + rel_pos_w (Tensor): relative position embeddings (Lw, C) for width axis. + q_size (Tuple): spatial sequence size of query q with (q_h, q_w). + k_size (Tuple): spatial sequence size of key k with (k_h, k_w). + + Returns: + attn (Tensor): attention map with added relative positional embeddings. + """ + q_h, q_w = q_size + k_h, k_w = k_size + Rh = get_rel_pos(q_h, k_h, rel_pos_h) + Rw = get_rel_pos(q_w, k_w, rel_pos_w) + + B, _, dim = q.shape + r_q = q.reshape(B, q_h, q_w, dim) + rel_h = torch.einsum("bhwc,hkc->bhwk", r_q, Rh) + rel_w = torch.einsum("bhwc,wkc->bhwk", r_q, Rw) + + attn = ( + attn.view(B, q_h, q_w, k_h, k_w) + + rel_h[:, :, :, :, None] + rel_w[:, :, :, None, :] + ).view(B, q_h * q_w, k_h * k_w) + + return attn + + +class VisionTransformerSAM(nn.Module): + """ Vision Transformer for vitsam or SAM + + A PyTorch impl of : `Exploring Plain Vision Transformer Backbones for Object Detection` or `Segment Anything Model (SAM)` + - https://arxiv.org/abs/2010.11929 + """ + + def __init__( + self, + img_size: int = 1024, + patch_size: int = 16, + in_chans: int = 3, + num_classes: int = 768, + embed_dim: int = 768, + depth: int = 12, + num_heads: int = 12, + mlp_ratio: float = 4., + qkv_bias: bool = True, + qk_norm: bool = False, + init_values: Optional[float] = None, + pre_norm: bool = False, + drop_rate: float = 0., + pos_drop_rate: float = 0., + patch_drop_rate: float = 0., + proj_drop_rate: float = 0., + attn_drop_rate: float = 0., + drop_path_rate: float = 0., + weight_init: str = '', + embed_layer: Callable = partial( + PatchEmbed, output_fmt=Format.NHWC), + norm_layer: Optional[Callable] = nn.LayerNorm, + act_layer: Optional[Callable] = nn.GELU, + block_fn: Callable = Block, + mlp_layer: Callable = Mlp, + use_abs_pos: bool = True, + use_rel_pos: bool = False, + window_size: int = 14, + global_attn_indexes: Tuple[int, ...] = (), + neck_chans: int = 256, + global_pool: str = 'avg', + ): + """ + Args: + img_size: Input image size. + patch_size: Patch size. + in_chans: Number of image input channels. + num_classes: Mumber of classes for classification head. + global_pool: Type of global pooling for final sequence (default: 'token'). + embed_dim: Transformer embedding dimension. + depth: Depth of transformer. + num_heads: Number of attention heads. + mlp_ratio: Ratio of mlp hidden dim to embedding dim. + qkv_bias: Enable bias for qkv projections if True. + init_values: Layer-scale init values (layer-scale enabled if not None). + drop_rate: Head dropout rate. + pos_drop_rate: Position embedding dropout rate. + attn_drop_rate: Attention dropout rate. + drop_path_rate: Stochastic depth rate. + weight_init: Weight initialization scheme. + embed_layer: Patch embedding layer. + norm_layer: Normalization layer. + act_layer: MLP activation layer. + block_fn: Transformer block layer. + use_abs_pos: If True, use absolute positional embeddings. + use_rel_pos: If True, add relative positional embeddings to the attention map. + window_size: Window size for window attention blocks. If 0, not use window attention. + global_attn_indexes: Indexes for blocks using global attention. Used when window_size > 0. + global_pool: Global pooling type. + """ + super().__init__() + norm_layer = norm_layer or partial(nn.LayerNorm, eps=1e-6) + act_layer = act_layer or nn.GELU + + self.num_classes = num_classes + self.global_pool = global_pool + # num_features for consistency with other models + self.num_features = self.embed_dim = embed_dim + self.grad_checkpointing = False + + self.patch_embed = embed_layer( + img_size=img_size, + patch_size=patch_size, + in_chans=in_chans, + embed_dim=embed_dim, + bias=not pre_norm, # disable bias if pre-norm is used + ) + if use_abs_pos: + # Initialize absolute positional embedding with pretrain image size. + self.pos_embed = nn.Parameter( + torch.zeros(1, img_size // patch_size, + img_size // patch_size, embed_dim) + ) + else: + self.pos_embed = 0. + self.pos_drop = nn.Dropout(p=pos_drop_rate) + if patch_drop_rate > 0: + self.patch_drop = PatchDropout( + patch_drop_rate, + num_prefix_tokens=0, + ) + else: + self.patch_drop = nn.Identity() + self.norm_pre = norm_layer(embed_dim) if pre_norm else nn.Identity() + + # stochastic depth decay rule + dpr = [x.item() for x in torch.linspace(0, drop_path_rate, depth)] + self.blocks = nn.Sequential(*[ + block_fn( + dim=embed_dim, + num_heads=num_heads, + mlp_ratio=mlp_ratio, + qkv_bias=qkv_bias, + qk_norm=qk_norm, + init_values=init_values, + proj_drop=proj_drop_rate, + attn_drop=attn_drop_rate, + drop_path=dpr[i], + norm_layer=norm_layer, + act_layer=act_layer, + mlp_layer=mlp_layer, + use_rel_pos=use_rel_pos, + window_size=window_size if i not in global_attn_indexes else 0, + input_size=(img_size // patch_size, img_size // patch_size), + ) + for i in range(depth)]) + + if neck_chans: + self.neck = nn.Sequential( + nn.Conv2d( + embed_dim, + neck_chans, + kernel_size=1, + bias=False, + ), + LayerNorm2d(neck_chans), + nn.Conv2d( + neck_chans, + neck_chans, + kernel_size=3, + padding=1, + bias=False, + ), + LayerNorm2d(neck_chans), + ) + else: + self.neck = nn.Identity() + neck_chans = embed_dim + + # Classifier Head + self.head = ClassifierHead( + neck_chans, + num_classes, + pool_type=global_pool, + drop_rate=drop_rate, + ) + + @torch.jit.ignore + def no_weight_decay(self): + return {'pos_embed', 'dist_token'} + + @torch.jit.ignore + def group_matcher(self, coarse=False): + return dict( + stem=r'^pos_embed|patch_embed', # stem and embed + blocks=[(r'^blocks\.(\d+)', None), (r'^norm', (99999,))] + ) + + @torch.jit.ignore + def set_grad_checkpointing(self, enable=True): + self.grad_checkpointing = enable + + @torch.jit.ignore + def get_classifier(self): + return self.head + + def reset_classifier(self, num_classes=0, global_pool=None): + self.head = self.head.reset(num_classes, global_pool) if num_classes > 0 else nn.Identity() + + def _pos_embed(self, x): + x = x + self.pos_embed + return self.pos_drop(x) + + def forward_features(self, x): + x = self.patch_embed(x) + x = self._pos_embed(x) + x = self.patch_drop(x) + x = self.norm_pre(x) + if self.grad_checkpointing and not torch.jit.is_scripting(): + x = checkpoint_seq(self.blocks, x) + else: + x = self.blocks(x) + x = self.neck(x.permute(0, 3, 1, 2)) + return x + + def forward_head(self, x, pre_logits: bool = False): + return self.head(x, pre_logits=True) if pre_logits else self.head(x) + + def forward(self, x): + x = self.forward_features(x) + x = self.forward_head(x) + return x + + +def checkpoint_filter_fn( + state_dict, + model +): + """ Remap SAM checkpoints -> timm """ + out_dict = {} + for k, v in state_dict.items(): + if 'image_encoder.' in k: + new_k = k.replace('image_encoder.', '') + new_k = new_k.replace('mlp.lin', 'mlp.fc') + out_dict[new_k] = v + return state_dict + + +def _cfg(url='', **kwargs): + return { + 'url': url, + 'num_classes': 1000, 'input_size': (3, 1024, 1024), 'pool_size': None, + 'crop_pct': .9, 'interpolation': 'bicubic', 'fixed_input_size': True, + 'mean': IMAGENET_INCEPTION_MEAN, 'std': IMAGENET_INCEPTION_STD, + 'first_conv': 'patch_embed.proj', 'classifier': 'head', + **kwargs + } + + +default_cfgs = generate_default_cfgs({ + + # Segment-Anyhing Model (SAM) pretrained - https://github.com/facebookresearch/segment-anything (no classifier head, for fine-tune/features only) + 'vitsam_base_patch16.sa1b': _cfg( + url='https://dl.fbaipublicfiles.com/segment_anything/sam_vit_b_01ec64.pth', + hf_hub_id='timm/', + license='apache-2.0', + mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0, + input_size=(3, 1024, 1024), crop_pct=1.0), + 'vitsam_large_patch16.sa1b': _cfg( + url='https://dl.fbaipublicfiles.com/segment_anything/sam_vit_l_0b3195.pth', + hf_hub_id='timm/', + license='apache-2.0', + mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0, + input_size=(3, 1024, 1024), crop_pct=1.0), + 'vitsam_huge_patch16.sa1b': _cfg( + url='https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth', + hf_hub_id='timm/', + license='apache-2.0', + mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0, + input_size=(3, 1024, 1024), crop_pct=1.0), +}) + + +def _create_vision_transformer(variant, pretrained=False, **kwargs): + if kwargs.get('features_only', None): + raise RuntimeError( + 'features_only not implemented for Vision Transformer models.') + + return build_model_with_cfg( + VisionTransformerSAM, + variant, + pretrained, + pretrained_filter_fn=checkpoint_filter_fn, + **kwargs, + ) + + +@register_model +def vitsam_base_patch16(pretrained=False, **kwargs) -> VisionTransformerSAM: + """ ViT-B/16 for Segment-Anything + """ + model_args = dict( + patch_size=16, embed_dim=768, depth=12, num_heads=12, global_attn_indexes=[2, 5, 8, 11], + window_size=14, use_rel_pos=True, img_size=1024, + ) + model = _create_vision_transformer( + 'vitsam_base_patch16', pretrained=pretrained, **dict(model_args, **kwargs)) + return model + + +@register_model +def vitsam_large_patch16(pretrained=False, **kwargs) -> VisionTransformerSAM: + """ ViT-L/16 for Segment-Anything + """ + model_args = dict( + patch_size=16, embed_dim=1024, depth=24, num_heads=16, global_attn_indexes=[5, 11, 17, 23], + window_size=14, use_rel_pos=True, img_size=1024, + ) + model = _create_vision_transformer( + 'vitsam_large_patch16', pretrained=pretrained, **dict(model_args, **kwargs)) + return model + + +@register_model +def vitsam_huge_patch16(pretrained=False, **kwargs) -> VisionTransformerSAM: + """ ViT-H/16 for Segment-Anything + """ + model_args = dict( + patch_size=16, embed_dim=1280, depth=32, num_heads=16, global_attn_indexes=[7, 15, 23, 31], + window_size=14, use_rel_pos=True, img_size=1024, + ) + model = _create_vision_transformer( + 'vitsam_huge_patch16', pretrained=pretrained, **dict(model_args, **kwargs)) + return model + +# TODO: +# support any input size, now only 1024 x 1024 (pretrained) From 15de561f2cc01997b248a44bba05668e41228930 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=96=B9=E6=9B=A6?= Date: Wed, 17 May 2023 12:51:12 +0800 Subject: [PATCH 04/34] fix unit test for samvit --- tests/test_models.py | 2 +- timm/models/vision_transformer_sam.py | 20 ++++++++++---------- 2 files changed, 11 insertions(+), 11 deletions(-) diff --git a/tests/test_models.py b/tests/test_models.py index 247415b04d..d8ac8d6438 100644 --- a/tests/test_models.py +++ b/tests/test_models.py @@ -41,7 +41,7 @@ 'vit_*', 'tnt_*', 'pit_*', 'coat_*', 'cait_*', '*mixer_*', 'gmlp_*', 'resmlp_*', 'twins_*', 'convit_*', 'levit*', 'visformer*', 'deit*', 'jx_nest_*', 'nest_*', 'xcit_*', 'crossvit_*', 'beit*', 'poolformer_*', 'volo_*', 'sequencer2d_*', 'pvt_v2*', 'mvitv2*', 'gcvit*', 'efficientformer*', - 'eva_*', 'flexivit*', 'eva02*' + 'eva_*', 'flexivit*', 'eva02*', 'samvit_*' ] NUM_NON_STD = len(NON_STD_FILTERS) diff --git a/timm/models/vision_transformer_sam.py b/timm/models/vision_transformer_sam.py index 98c0096db1..9a9e74cc1f 100644 --- a/timm/models/vision_transformer_sam.py +++ b/timm/models/vision_transformer_sam.py @@ -303,7 +303,7 @@ def add_decomposed_rel_pos( class VisionTransformerSAM(nn.Module): - """ Vision Transformer for vitsam or SAM + """ Vision Transformer for Segment-Anything Model(SAM) A PyTorch impl of : `Exploring Plain Vision Transformer Backbones for Object Detection` or `Segment Anything Model (SAM)` - https://arxiv.org/abs/2010.11929 @@ -533,19 +533,19 @@ def _cfg(url='', **kwargs): default_cfgs = generate_default_cfgs({ # Segment-Anyhing Model (SAM) pretrained - https://github.com/facebookresearch/segment-anything (no classifier head, for fine-tune/features only) - 'vitsam_base_patch16.sa1b': _cfg( + 'samvit_base_patch16.sa1b': _cfg( url='https://dl.fbaipublicfiles.com/segment_anything/sam_vit_b_01ec64.pth', hf_hub_id='timm/', license='apache-2.0', mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0, input_size=(3, 1024, 1024), crop_pct=1.0), - 'vitsam_large_patch16.sa1b': _cfg( + 'samvit_large_patch16.sa1b': _cfg( url='https://dl.fbaipublicfiles.com/segment_anything/sam_vit_l_0b3195.pth', hf_hub_id='timm/', license='apache-2.0', mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0, input_size=(3, 1024, 1024), crop_pct=1.0), - 'vitsam_huge_patch16.sa1b': _cfg( + 'samvit_huge_patch16.sa1b': _cfg( url='https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth', hf_hub_id='timm/', license='apache-2.0', @@ -569,7 +569,7 @@ def _create_vision_transformer(variant, pretrained=False, **kwargs): @register_model -def vitsam_base_patch16(pretrained=False, **kwargs) -> VisionTransformerSAM: +def samvit_base_patch16(pretrained=False, **kwargs) -> VisionTransformerSAM: """ ViT-B/16 for Segment-Anything """ model_args = dict( @@ -577,12 +577,12 @@ def vitsam_base_patch16(pretrained=False, **kwargs) -> VisionTransformerSAM: window_size=14, use_rel_pos=True, img_size=1024, ) model = _create_vision_transformer( - 'vitsam_base_patch16', pretrained=pretrained, **dict(model_args, **kwargs)) + 'samvit_base_patch16', pretrained=pretrained, **dict(model_args, **kwargs)) return model @register_model -def vitsam_large_patch16(pretrained=False, **kwargs) -> VisionTransformerSAM: +def samvit_large_patch16(pretrained=False, **kwargs) -> VisionTransformerSAM: """ ViT-L/16 for Segment-Anything """ model_args = dict( @@ -590,12 +590,12 @@ def vitsam_large_patch16(pretrained=False, **kwargs) -> VisionTransformerSAM: window_size=14, use_rel_pos=True, img_size=1024, ) model = _create_vision_transformer( - 'vitsam_large_patch16', pretrained=pretrained, **dict(model_args, **kwargs)) + 'samvit_large_patch16', pretrained=pretrained, **dict(model_args, **kwargs)) return model @register_model -def vitsam_huge_patch16(pretrained=False, **kwargs) -> VisionTransformerSAM: +def samvit_huge_patch16(pretrained=False, **kwargs) -> VisionTransformerSAM: """ ViT-H/16 for Segment-Anything """ model_args = dict( @@ -603,7 +603,7 @@ def vitsam_huge_patch16(pretrained=False, **kwargs) -> VisionTransformerSAM: window_size=14, use_rel_pos=True, img_size=1024, ) model = _create_vision_transformer( - 'vitsam_huge_patch16', pretrained=pretrained, **dict(model_args, **kwargs)) + 'samvit_huge_patch16', pretrained=pretrained, **dict(model_args, **kwargs)) return model # TODO: From c1c6eeb90989600c5f673b928c60e3664bb9643a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=96=B9=E6=9B=A6?= Date: Thu, 18 May 2023 08:49:29 +0800 Subject: [PATCH 05/34] fix loading pretrained weight for samvit --- timm/models/vision_transformer_sam.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/timm/models/vision_transformer_sam.py b/timm/models/vision_transformer_sam.py index 9a9e74cc1f..5c395d2c5f 100644 --- a/timm/models/vision_transformer_sam.py +++ b/timm/models/vision_transformer_sam.py @@ -512,11 +512,11 @@ def checkpoint_filter_fn( """ Remap SAM checkpoints -> timm """ out_dict = {} for k, v in state_dict.items(): - if 'image_encoder.' in k: - new_k = k.replace('image_encoder.', '') - new_k = new_k.replace('mlp.lin', 'mlp.fc') - out_dict[new_k] = v - return state_dict + if 'image_encoder.' in k: + new_k = k.replace('image_encoder.', '') + new_k = new_k.replace('mlp.lin', 'mlp.fc') + out_dict[new_k] = v + return out_dict def _cfg(url='', **kwargs): @@ -535,19 +535,19 @@ def _cfg(url='', **kwargs): # Segment-Anyhing Model (SAM) pretrained - https://github.com/facebookresearch/segment-anything (no classifier head, for fine-tune/features only) 'samvit_base_patch16.sa1b': _cfg( url='https://dl.fbaipublicfiles.com/segment_anything/sam_vit_b_01ec64.pth', - hf_hub_id='timm/', + # hf_hub_id='timm/', license='apache-2.0', mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0, input_size=(3, 1024, 1024), crop_pct=1.0), 'samvit_large_patch16.sa1b': _cfg( url='https://dl.fbaipublicfiles.com/segment_anything/sam_vit_l_0b3195.pth', - hf_hub_id='timm/', + # hf_hub_id='timm/', license='apache-2.0', mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0, input_size=(3, 1024, 1024), crop_pct=1.0), 'samvit_huge_patch16.sa1b': _cfg( url='https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth', - hf_hub_id='timm/', + # hf_hub_id='timm/', license='apache-2.0', mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0, input_size=(3, 1024, 1024), crop_pct=1.0), From e9373b1b925b2546706d78d25294de596bad4bfe Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Thu, 18 May 2023 16:43:48 -0700 Subject: [PATCH 06/34] Cleanup before samvit merge. Resize abs posembed on the fly, undo some line-wraps, remove redundant unbind, fix HF hub weight load --- timm/layers/__init__.py | 2 +- timm/layers/patch_embed.py | 16 +++- timm/layers/pos_embed.py | 21 +++++ timm/models/vision_transformer_sam.py | 114 +++++++++++++------------- 4 files changed, 93 insertions(+), 60 deletions(-) diff --git a/timm/layers/__init__.py b/timm/layers/__init__.py index d55faccc4b..caec5e696e 100644 --- a/timm/layers/__init__.py +++ b/timm/layers/__init__.py @@ -36,7 +36,7 @@ from .patch_dropout import PatchDropout from .patch_embed import PatchEmbed, PatchEmbedWithSize, resample_patch_embed from .pool2d_same import AvgPool2dSame, create_pool2d -from .pos_embed import resample_abs_pos_embed +from .pos_embed import resample_abs_pos_embed, resample_abs_pos_embed_nhwc from .pos_embed_rel import RelPosMlp, RelPosBias, RelPosBiasTf, gen_relative_position_index, gen_relative_log_coords from .pos_embed_sincos import pixel_freq_bands, freq_bands, build_sincos2d_pos_embed, build_fourier_pos_embed, \ build_rotary_pos_embed, apply_rot_embed, apply_rot_embed_cat, apply_rot_embed_list, apply_keep_indices_nlc, \ diff --git a/timm/layers/patch_embed.py b/timm/layers/patch_embed.py index 6ca6a1a120..b9a2392128 100644 --- a/timm/layers/patch_embed.py +++ b/timm/layers/patch_embed.py @@ -37,6 +37,7 @@ def __init__( flatten: bool = True, output_fmt: Optional[str] = None, bias: bool = True, + strict_img_size: bool = True, ): super().__init__() self.patch_size = to_2tuple(patch_size) @@ -56,6 +57,7 @@ def __init__( # flatten spatial dim and transpose to channels last, kept for bwd compat self.flatten = flatten self.output_fmt = Format.NCHW + self.strict_img_size = strict_img_size self.proj = nn.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size, bias=bias) self.norm = norm_layer(embed_dim) if norm_layer else nn.Identity() @@ -63,8 +65,18 @@ def __init__( def forward(self, x): B, C, H, W = x.shape if self.img_size is not None: - _assert(H == self.img_size[0], f"Input image height ({H}) doesn't match model ({self.img_size[0]}).") - _assert(W == self.img_size[1], f"Input image width ({W}) doesn't match model ({self.img_size[1]}).") + if self.strict_img_size: + _assert(H == self.img_size[0], f"Input height ({H}) doesn't match model ({self.img_size[0]}).") + _assert(W == self.img_size[1], f"Input width ({W}) doesn't match model ({self.img_size[1]}).") + else: + _assert( + H % self.patch_size[0] == 0, + f"Input height ({H}) should be divisible by patch size ({self.patch_size[0]})." + ) + _assert( + W % self.patch_size[1] == 0, + f"Input width ({W}) should be divisible by patch size ({self.patch_size[1]})." + ) x = self.proj(x) if self.flatten: diff --git a/timm/layers/pos_embed.py b/timm/layers/pos_embed.py index c3afce76cc..ad10578acf 100644 --- a/timm/layers/pos_embed.py +++ b/timm/layers/pos_embed.py @@ -52,3 +52,24 @@ def resample_abs_pos_embed( _logger.info(f'Resized position embedding: {old_size} to {new_size}.') return posemb + + +def resample_abs_pos_embed_nhwc( + posemb, + new_size: List[int], + interpolation: str = 'bicubic', + antialias: bool = True, + verbose: bool = False, +): + if new_size[0] == posemb.shape[-3] and new_size[1] == posemb.shape[-2]: + return posemb + + # do the interpolation + posemb = posemb.reshape(1, posemb.shape[-3], posemb.shape[-2], posemb.shape[-1]).permute(0, 3, 1, 2) + posemb = F.interpolate(posemb, size=new_size, mode=interpolation, antialias=antialias) + posemb = posemb.permute(0, 2, 3, 1) + + if not torch.jit.is_scripting() and verbose: + _logger.info(f'Resized position embedding: {posemb.shape[-3:-1]} to {new_size}.') + + return posemb \ No newline at end of file diff --git a/timm/models/vision_transformer_sam.py b/timm/models/vision_transformer_sam.py index 5c395d2c5f..c8a8c53f38 100644 --- a/timm/models/vision_transformer_sam.py +++ b/timm/models/vision_transformer_sam.py @@ -19,7 +19,8 @@ import torch.utils.checkpoint from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD, IMAGENET_INCEPTION_MEAN, IMAGENET_INCEPTION_STD -from timm.layers import PatchEmbed, Mlp, DropPath, PatchDropout, LayerNorm2d, ClassifierHead, Format +from timm.layers import PatchEmbed, Mlp, DropPath, PatchDropout, LayerNorm2d, ClassifierHead, NormMlpClassifierHead,\ + Format, resample_abs_pos_embed_nhwc from ._builder import build_model_with_cfg from ._manipulate import checkpoint_seq from ._registry import generate_default_cfgs, register_model @@ -71,24 +72,21 @@ def __init__( def forward(self, x): B, H, W, _ = x.shape - # qkv with shape (3, B, nHead, H * W, C) qkv = self.qkv(x).reshape( B, H * W, 3, self.num_heads, -1).permute(2, 0, 3, 1, 4) - # q, k, v with shape (B * nHead, H * W, C) - q, k, v = qkv.unbind(0) + # qkv with shape (3, B, nHead, H * W, C) q, k, v = qkv.reshape(3, B * self.num_heads, H * W, -1).unbind(0) + # q, k, v with shape (B * nHead, H * W, C) q, k = self.q_norm(q), self.k_norm(k) - - attn = (q * self.scale) @ k.transpose(-2, -1) + q = q * self.scale + attn = q @ k.transpose(-2, -1) if self.use_rel_pos: - attn = add_decomposed_rel_pos( - attn, q, self.rel_pos_h, self.rel_pos_w, (H, W), (H, W)) + attn = add_decomposed_rel_pos(attn, q, self.rel_pos_h, self.rel_pos_w, (H, W), (H, W)) attn = attn.softmax(dim=-1) attn = self.attn_drop(attn) - x = (attn @ v).view(B, self.num_heads, H, W, - - 1).permute(0, 2, 3, 1, 4).reshape(B, H, W, -1) + x = (attn @ v).view(B, self.num_heads, H, W, -1).permute(0, 2, 3, 1, 4).reshape(B, H, W, -1) x = self.proj(x) return x @@ -136,13 +134,10 @@ def __init__( proj_drop=proj_drop, norm_layer=norm_layer, use_rel_pos=use_rel_pos, - input_size=input_size if window_size == 0 else ( - window_size, window_size), + input_size=input_size if window_size == 0 else (window_size, window_size), ) - self.ls1 = LayerScale( - dim, init_values=init_values) if init_values else nn.Identity() - self.drop_path1 = DropPath( - drop_path) if drop_path > 0. else nn.Identity() + self.ls1 = LayerScale(dim, init_values=init_values) if init_values else nn.Identity() + self.drop_path1 = DropPath(drop_path) if drop_path > 0. else nn.Identity() self.norm2 = norm_layer(dim) self.mlp = mlp_layer( @@ -151,10 +146,8 @@ def __init__( act_layer=act_layer, drop=proj_drop, ) - self.ls2 = LayerScale( - dim, init_values=init_values) if init_values else nn.Identity() - self.drop_path2 = DropPath( - drop_path) if drop_path > 0. else nn.Identity() + self.ls2 = LayerScale(dim, init_values=init_values) if init_values else nn.Identity() + self.drop_path2 = DropPath(drop_path) if drop_path > 0. else nn.Identity() def forward(self, x): shortcut = x @@ -194,10 +187,8 @@ def window_partition(x: torch.Tensor, window_size: int) -> Tuple[torch.Tensor, T x = F.pad(x, (0, 0, 0, pad_w, 0, pad_h)) Hp, Wp = H + pad_h, W + pad_w - x = x.view(B, Hp // window_size, window_size, - Wp // window_size, window_size, C) - windows = x.permute(0, 1, 3, 2, 4, 5).contiguous( - ).view(-1, window_size, window_size, C) + x = x.view(B, Hp // window_size, window_size, Wp // window_size, window_size, C) + windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size, window_size, C) return windows, (Hp, Wp) @@ -218,8 +209,7 @@ def window_unpartition( Hp, Wp = pad_hw H, W = hw B = windows.shape[0] // (Hp * Wp // window_size // window_size) - x = windows.view(B, Hp // window_size, Wp // window_size, - window_size, window_size, -1) + x = windows.view(B, Hp // window_size, Wp // window_size, window_size, window_size, -1) x = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(B, Hp, Wp, -1) if Hp > H or Wp > W: @@ -248,16 +238,14 @@ def get_rel_pos(q_size: int, k_size: int, rel_pos: torch.Tensor) -> torch.Tensor size=max_rel_dist, mode="linear", ) - rel_pos_resized = rel_pos_resized.reshape( - -1, max_rel_dist).permute(1, 0) + rel_pos_resized = rel_pos_resized.reshape(-1, max_rel_dist).permute(1, 0) else: rel_pos_resized = rel_pos # Scale the coords with short length if shapes for q and k are different. q_coords = torch.arange(q_size)[:, None] * max(k_size / q_size, 1.0) k_coords = torch.arange(k_size)[None, :] * max(q_size / k_size, 1.0) - relative_coords = (q_coords - k_coords) + \ - (k_size - 1) * max(q_size / k_size, 1.0) + relative_coords = (q_coords - k_coords) + (k_size - 1) * max(q_size / k_size, 1.0) return rel_pos_resized[relative_coords.long()] @@ -331,7 +319,7 @@ def __init__( drop_path_rate: float = 0., weight_init: str = '', embed_layer: Callable = partial( - PatchEmbed, output_fmt=Format.NHWC), + PatchEmbed, output_fmt=Format.NHWC, strict_img_size=False), norm_layer: Optional[Callable] = nn.LayerNorm, act_layer: Optional[Callable] = nn.GELU, block_fn: Callable = Block, @@ -342,6 +330,7 @@ def __init__( global_attn_indexes: Tuple[int, ...] = (), neck_chans: int = 256, global_pool: str = 'avg', + head_hidden_size: Optional[int] = None ): """ Args: @@ -370,6 +359,7 @@ def __init__( window_size: Window size for window attention blocks. If 0, not use window attention. global_attn_indexes: Indexes for blocks using global attention. Used when window_size > 0. global_pool: Global pooling type. + head_hidden_size: If set, use NormMlpHead """ super().__init__() norm_layer = norm_layer or partial(nn.LayerNorm, eps=1e-6) @@ -388,14 +378,12 @@ def __init__( embed_dim=embed_dim, bias=not pre_norm, # disable bias if pre-norm is used ) + grid_size = self.patch_embed.grid_size if use_abs_pos: # Initialize absolute positional embedding with pretrain image size. - self.pos_embed = nn.Parameter( - torch.zeros(1, img_size // patch_size, - img_size // patch_size, embed_dim) - ) + self.pos_embed = nn.Parameter(torch.zeros(1, grid_size[0], grid_size[1], embed_dim)) else: - self.pos_embed = 0. + self.pos_embed = None self.pos_drop = nn.Dropout(p=pos_drop_rate) if patch_drop_rate > 0: self.patch_drop = PatchDropout( @@ -424,7 +412,7 @@ def __init__( mlp_layer=mlp_layer, use_rel_pos=use_rel_pos, window_size=window_size if i not in global_attn_indexes else 0, - input_size=(img_size // patch_size, img_size // patch_size), + input_size=grid_size, ) for i in range(depth)]) @@ -451,12 +439,21 @@ def __init__( neck_chans = embed_dim # Classifier Head - self.head = ClassifierHead( - neck_chans, - num_classes, - pool_type=global_pool, - drop_rate=drop_rate, - ) + if head_hidden_size: + self.head = NormMlpClassifierHead( + neck_chans, + num_classes, + hidden_size=head_hidden_size, + pool_type=global_pool, + drop_rate=drop_rate, + ) + else: + self.head = ClassifierHead( + neck_chans, + num_classes, + pool_type=global_pool, + drop_rate=drop_rate, + ) @torch.jit.ignore def no_weight_decay(self): @@ -478,15 +475,14 @@ def get_classifier(self): return self.head def reset_classifier(self, num_classes=0, global_pool=None): - self.head = self.head.reset(num_classes, global_pool) if num_classes > 0 else nn.Identity() - - def _pos_embed(self, x): - x = x + self.pos_embed - return self.pos_drop(x) + self.head.reset(num_classes, global_pool) def forward_features(self, x): x = self.patch_embed(x) - x = self._pos_embed(x) + if self.pos_embed is not None: + # dynamically resize abs pos embedding if needed + x = x + resample_abs_pos_embed_nhwc(self.pos_embed, x.shape[1:3]) + x = self.pos_drop(x) x = self.patch_drop(x) x = self.norm_pre(x) if self.grad_checkpointing and not torch.jit.is_scripting(): @@ -507,15 +503,19 @@ def forward(self, x): def checkpoint_filter_fn( state_dict, - model + model, ): """ Remap SAM checkpoints -> timm """ + sam_checkpoint = 'image_encoder.patch_embed.proj.weight' in state_dict out_dict = {} for k, v in state_dict.items(): - if 'image_encoder.' in k: - new_k = k.replace('image_encoder.', '') - new_k = new_k.replace('mlp.lin', 'mlp.fc') - out_dict[new_k] = v + if k.startswith('image_encoder.'): + k = k[14:] + k = k.replace('mlp.lin', 'mlp.fc') + else: + if sam_checkpoint: + continue + out_dict[k] = v return out_dict @@ -535,19 +535,19 @@ def _cfg(url='', **kwargs): # Segment-Anyhing Model (SAM) pretrained - https://github.com/facebookresearch/segment-anything (no classifier head, for fine-tune/features only) 'samvit_base_patch16.sa1b': _cfg( url='https://dl.fbaipublicfiles.com/segment_anything/sam_vit_b_01ec64.pth', - # hf_hub_id='timm/', + hf_hub_id='timm/', license='apache-2.0', mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0, input_size=(3, 1024, 1024), crop_pct=1.0), 'samvit_large_patch16.sa1b': _cfg( url='https://dl.fbaipublicfiles.com/segment_anything/sam_vit_l_0b3195.pth', - # hf_hub_id='timm/', + hf_hub_id='timm/', license='apache-2.0', mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0, input_size=(3, 1024, 1024), crop_pct=1.0), 'samvit_huge_patch16.sa1b': _cfg( url='https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth', - # hf_hub_id='timm/', + hf_hub_id='timm/', license='apache-2.0', mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0, input_size=(3, 1024, 1024), crop_pct=1.0), From 7cea88e2c40ea45188f0e904384902523aeaf43b Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Sun, 21 May 2023 15:20:03 -0700 Subject: [PATCH 07/34] Pop eps for lion optimizer --- timm/optim/optim_factory.py | 1 + 1 file changed, 1 insertion(+) diff --git a/timm/optim/optim_factory.py b/timm/optim/optim_factory.py index 2e3020119b..d8702a12f9 100644 --- a/timm/optim/optim_factory.py +++ b/timm/optim/optim_factory.py @@ -343,6 +343,7 @@ def create_optimizer_v2( elif opt_lower == 'rmsproptf': optimizer = RMSpropTF(parameters, alpha=0.9, momentum=momentum, **opt_args) elif opt_lower == 'lion': + opt_args.pop('eps', None) optimizer = Lion(parameters, **opt_args) # second order From 049b1332531609533befd272f451991551560581 Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Wed, 24 May 2023 09:01:52 -0700 Subject: [PATCH 08/34] Add 0.9 imagenet and ood test set results files --- results/results-imagenet-a-clean.csv | 1607 ++++++++------- results/results-imagenet-a.csv | 1793 +++++++++-------- results/results-imagenet-r-clean.csv | 1591 ++++++++------- results/results-imagenet-r.csv | 1793 +++++++++-------- results/results-imagenet-real.csv | 1793 +++++++++-------- results/results-imagenet.csv | 1780 +++++++++------- .../results-imagenetv2-matched-frequency.csv | 1793 +++++++++-------- results/results-sketch.csv | 1793 +++++++++-------- 8 files changed, 7823 insertions(+), 6120 deletions(-) diff --git a/results/results-imagenet-a-clean.csv b/results/results-imagenet-a-clean.csv index cd4afa70c9..532738cbfd 100644 --- a/results/results-imagenet-a-clean.csv +++ b/results/results-imagenet-a-clean.csv @@ -1,12 +1,19 @@ model,top1,top1_err,top5,top5_err,param_count,img_size,crop_pct,interpolation -eva_giant_patch14_560.m30m_ft_in22k_in1k,98.820,1.180,99.900,0.100,"1,014.45",560,1.000,bicubic -eva_giant_patch14_336.clip_ft_in1k,98.820,1.180,99.820,0.180,"1,013.01",336,1.000,bicubic +eva02_large_patch14_448.mim_in22k_ft_in22k_in1k,98.930,1.070,99.910,0.090,305.08,448,1.000,bicubic +eva02_large_patch14_448.mim_m38m_ft_in22k_in1k,98.850,1.150,99.880,0.120,305.08,448,1.000,bicubic +eva02_large_patch14_448.mim_in22k_ft_in1k,98.840,1.160,99.830,0.170,305.08,448,1.000,bicubic +eva_giant_patch14_560.m30m_ft_in22k_in1k,98.830,1.170,99.900,0.100,"1,014.45",560,1.000,bicubic +eva_giant_patch14_336.clip_ft_in1k,98.820,1.180,99.810,0.190,"1,013.01",336,1.000,bicubic eva_giant_patch14_336.m30m_ft_in22k_in1k,98.810,1.190,99.900,0.100,"1,013.01",336,1.000,bicubic eva_large_patch14_336.in22k_ft_in22k_in1k,98.740,1.260,99.810,0.190,304.53,336,1.000,bicubic -eva_large_patch14_336.in22k_ft_in1k,98.710,1.290,99.870,0.130,304.53,336,1.000,bicubic -maxvit_base_tf_512.in21k_ft_in1k,98.630,1.370,99.800,0.200,119.88,512,1.000,bicubic +eva_large_patch14_336.in22k_ft_in1k,98.730,1.270,99.870,0.130,304.53,336,1.000,bicubic +eva02_large_patch14_448.mim_m38m_ft_in1k,98.730,1.270,99.790,0.210,305.08,448,1.000,bicubic +convnextv2_huge.fcmae_ft_in22k_in1k_384,98.670,1.330,99.860,0.140,660.29,384,1.000,bicubic +eva02_base_patch14_448.mim_in22k_ft_in22k_in1k,98.640,1.360,99.800,0.200,87.12,448,1.000,bicubic +maxvit_base_tf_512.in21k_ft_in1k,98.620,1.380,99.800,0.200,119.88,512,1.000,bicubic maxvit_xlarge_tf_512.in21k_ft_in1k,98.620,1.380,99.800,0.200,475.77,512,1.000,bicubic maxvit_large_tf_512.in21k_ft_in1k,98.620,1.380,99.790,0.210,212.33,512,1.000,bicubic +convnextv2_huge.fcmae_ft_in22k_in1k_512,98.600,1.400,99.870,0.130,660.29,512,1.000,bicubic beit_large_patch16_512.in22k_ft_in22k_in1k,98.560,1.440,99.840,0.160,305.67,512,1.000,bicubic tf_efficientnet_l2.ns_jft_in1k,98.550,1.450,99.820,0.180,480.31,800,0.960,bicubic beitv2_large_patch16_224.in1k_ft_in22k_in1k,98.540,1.460,99.760,0.240,304.43,224,0.950,bicubic @@ -15,777 +22,983 @@ maxvit_base_tf_384.in21k_ft_in1k,98.520,1.480,99.750,0.250,119.65,384,1.000,bicu tf_efficientnet_l2.ns_jft_in1k_475,98.500,1.500,99.830,0.170,480.31,475,0.936,bicubic maxvit_xlarge_tf_384.in21k_ft_in1k,98.500,1.500,99.780,0.220,475.32,384,1.000,bicubic maxvit_large_tf_384.in21k_ft_in1k,98.490,1.510,99.750,0.250,212.03,384,1.000,bicubic -eva_giant_patch14_224.clip_ft_in1k,98.480,1.520,99.820,0.180,"1,012.56",224,1.000,bicubic -deit3_large_patch16_384_in21ft1k,98.460,1.540,99.760,0.240,304.76,384,1.000,bicubic -vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,98.430,1.570,99.810,0.190,632.46,336,1.000,bicubic +convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384,98.480,1.520,99.780,0.220,200.13,384,1.000,bicubic +deit3_large_patch16_384.fb_in22k_ft_in1k,98.460,1.540,99.760,0.240,304.76,384,1.000,bicubic +eva_giant_patch14_224.clip_ft_in1k,98.460,1.540,99.750,0.250,"1,012.56",224,0.900,bicubic +regnety_1280.swag_ft_in1k,98.450,1.550,99.870,0.130,644.81,384,1.000,bicubic +caformer_b36.sail_in22k_ft_in1k_384,98.450,1.550,99.810,0.190,98.75,384,1.000,bicubic +eva02_base_patch14_448.mim_in22k_ft_in1k,98.440,1.560,99.820,0.180,87.12,448,1.000,bicubic +convnext_xxlarge.clip_laion2b_soup_ft_in1k,98.440,1.560,99.800,0.200,846.47,256,1.000,bicubic eva_large_patch14_196.in22k_ft_in22k_in1k,98.430,1.570,99.770,0.230,304.14,196,1.000,bicubic convnext_xlarge.fb_in22k_ft_in1k_384,98.420,1.580,99.810,0.190,350.20,384,1.000,bicubic -eva_large_patch14_196.in22k_ft_in1k,98.350,1.650,99.820,0.180,304.14,196,1.000,bicubic -vit_large_patch14_clip_336.laion2b_ft_in12k_in1k,98.330,1.670,99.760,0.240,304.53,336,1.000,bicubic -vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k,98.270,1.730,99.760,0.240,632.05,224,1.000,bicubic -vit_large_patch14_clip_336.openai_ft_in12k_in1k,98.260,1.740,99.770,0.230,304.53,336,1.000,bicubic -convnext_large.fb_in22k_ft_in1k_384,98.230,1.770,99.750,0.250,197.77,384,1.000,bicubic +vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,98.420,1.580,99.810,0.190,632.46,336,1.000,bicubic +convnextv2_large.fcmae_ft_in22k_in1k_384,98.400,1.600,99.760,0.240,197.96,384,1.000,bicubic +eva_large_patch14_196.in22k_ft_in1k,98.360,1.640,99.820,0.180,304.14,196,1.000,bicubic +convnextv2_base.fcmae_ft_in22k_in1k_384,98.350,1.650,99.770,0.230,88.72,384,1.000,bicubic +vit_large_patch14_clip_336.laion2b_ft_in12k_in1k,98.340,1.660,99.760,0.240,304.53,336,1.000,bicubic +vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k,98.300,1.700,99.760,0.240,632.05,224,1.000,bicubic +convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320,98.280,1.720,99.770,0.230,200.13,320,1.000,bicubic +vit_large_patch14_clip_336.openai_ft_in12k_in1k,98.270,1.730,99.770,0.230,304.53,336,1.000,bicubic +convformer_b36.sail_in22k_ft_in1k_384,98.260,1.740,99.830,0.170,99.88,384,1.000,bicubic +maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k,98.260,1.740,99.780,0.220,116.09,384,1.000,bicubic +convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384,98.250,1.750,99.760,0.240,200.13,384,1.000,bicubic +convnext_large.fb_in22k_ft_in1k_384,98.240,1.760,99.750,0.250,197.77,384,1.000,bicubic vit_large_patch16_384.augreg_in21k_ft_in1k,98.220,1.780,99.800,0.200,304.72,384,1.000,bicubic -vit_large_patch14_clip_224.openai_ft_in12k_in1k,98.220,1.780,99.730,0.270,304.20,224,1.000,bicubic +vit_large_patch14_clip_224.openai_ft_in12k_in1k,98.220,1.780,99.720,0.280,304.20,224,1.000,bicubic vit_large_patch14_clip_336.laion2b_ft_in1k,98.220,1.780,99.720,0.280,304.53,336,1.000,bicubic -vit_base_patch16_clip_384.openai_ft_in12k_in1k,98.200,1.800,99.660,0.340,86.86,384,0.950,bicubic +vit_base_patch16_clip_384.openai_ft_in12k_in1k,98.190,1.810,99.660,0.340,86.86,384,0.950,bicubic beit_large_patch16_224.in22k_ft_in22k_in1k,98.180,1.820,99.760,0.240,304.43,224,0.900,bicubic -deit3_large_patch16_224_in21ft1k,98.170,1.830,99.760,0.240,304.37,224,1.000,bicubic -deit3_huge_patch14_224_in21ft1k,98.170,1.830,99.730,0.270,632.13,224,1.000,bicubic -vit_large_patch14_clip_224.openai_ft_in1k,98.160,1.840,99.660,0.340,304.20,224,1.000,bicubic -swinv2_large_window12to24_192to384_22kft1k,98.150,1.850,99.690,0.310,196.74,384,1.000,bicubic -swinv2_base_window12to24_192to384_22kft1k,98.140,1.860,99.780,0.220,87.92,384,1.000,bicubic -convnext_xlarge.fb_in22k_ft_in1k,98.120,1.880,99.780,0.220,350.20,288,1.000,bicubic -convnext_large.fb_in22k_ft_in1k,98.120,1.880,99.750,0.250,197.77,288,1.000,bicubic -vit_large_patch14_clip_224.laion2b_ft_in12k_in1k,98.080,1.920,99.760,0.240,304.20,224,1.000,bicubic -convnext_base.fb_in22k_ft_in1k_384,98.070,1.930,99.650,0.350,88.59,384,1.000,bicubic -swin_large_patch4_window12_384,98.040,1.960,99.690,0.310,196.74,384,1.000,bicubic +deit3_large_patch16_224.fb_in22k_ft_in1k,98.170,1.830,99.760,0.240,304.37,224,1.000,bicubic +maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k,98.170,1.830,99.760,0.240,116.14,384,1.000,bicubic +deit3_huge_patch14_224.fb_in22k_ft_in1k,98.170,1.830,99.730,0.270,632.13,224,1.000,bicubic +vit_large_patch14_clip_224.openai_ft_in1k,98.170,1.830,99.660,0.340,304.20,224,1.000,bicubic +caformer_b36.sail_in22k_ft_in1k,98.160,1.840,99.780,0.220,98.75,224,1.000,bicubic +caformer_m36.sail_in22k_ft_in1k_384,98.150,1.850,99.750,0.250,56.20,384,1.000,bicubic +swinv2_large_window12to24_192to384.ms_in22k_ft_in1k,98.130,1.870,99.710,0.290,196.74,384,1.000,bicubic +swinv2_base_window12to24_192to384.ms_in22k_ft_in1k,98.120,1.880,99.780,0.220,87.92,384,1.000,bicubic +convnext_large.fb_in22k_ft_in1k,98.120,1.880,99.740,0.260,197.77,288,1.000,bicubic +convnext_xlarge.fb_in22k_ft_in1k,98.110,1.890,99.780,0.220,350.20,288,1.000,bicubic +convnextv2_large.fcmae_ft_in22k_in1k,98.090,1.910,99.770,0.230,197.96,288,1.000,bicubic +convnext_base.fb_in22k_ft_in1k_384,98.080,1.920,99.650,0.350,88.59,384,1.000,bicubic +vit_large_patch14_clip_224.laion2b_ft_in12k_in1k,98.070,1.930,99.760,0.240,304.20,224,1.000,bicubic +coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k,98.070,1.930,99.720,0.280,73.88,384,1.000,bicubic +regnety_320.swag_ft_in1k,98.060,1.940,99.860,0.140,145.05,384,1.000,bicubic +convnextv2_base.fcmae_ft_in22k_in1k,98.060,1.940,99.760,0.240,88.72,288,1.000,bicubic +swin_large_patch4_window12_384.ms_in22k_ft_in1k,98.050,1.950,99.690,0.310,196.74,384,1.000,bicubic +convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384,98.040,1.960,99.750,0.250,88.59,384,1.000,bicubic +convformer_m36.sail_in22k_ft_in1k_384,98.040,1.960,99.690,0.310,57.05,384,1.000,bicubic vit_huge_patch14_clip_224.laion2b_ft_in1k,98.020,1.980,99.720,0.280,632.05,224,1.000,bicubic -vit_base_patch16_clip_384.laion2b_ft_in12k_in1k,98.010,1.990,99.660,0.340,86.86,384,1.000,bicubic -tf_efficientnet_b7.ns_jft_in1k,97.910,2.090,99.720,0.280,66.35,600,0.949,bicubic -tf_efficientnetv2_xl.in21k_ft_in1k,97.910,2.090,99.570,0.430,208.12,512,1.000,bicubic -vit_large_patch14_clip_224.laion2b_ft_in1k,97.900,2.100,99.650,0.350,304.20,224,1.000,bicubic -swin_base_patch4_window12_384,97.890,2.110,99.710,0.290,87.90,384,1.000,bicubic +vit_base_patch16_clip_384.laion2b_ft_in12k_in1k,97.990,2.010,99.660,0.340,86.86,384,1.000,bicubic +caformer_s36.sail_in22k_ft_in1k_384,97.970,2.030,99.720,0.280,39.30,384,1.000,bicubic +seresnextaa101d_32x8d.sw_in12k_ft_in1k_288,97.970,2.030,99.700,0.300,93.59,320,1.000,bicubic +convnext_large_mlp.clip_laion2b_augreg_ft_in1k,97.950,2.050,99.710,0.290,200.13,256,1.000,bicubic +convformer_b36.sail_in22k_ft_in1k,97.940,2.060,99.760,0.240,99.88,224,1.000,bicubic +tf_efficientnet_b7.ns_jft_in1k,97.920,2.080,99.720,0.280,66.35,600,0.949,bicubic +beitv2_large_patch16_224.in1k_ft_in1k,97.910,2.090,99.660,0.340,304.43,224,0.950,bicubic +seresnextaa101d_32x8d.sw_in12k_ft_in1k,97.910,2.090,99.660,0.340,93.59,288,1.000,bicubic +swin_base_patch4_window12_384.ms_in22k_ft_in1k,97.900,2.100,99.710,0.290,87.90,384,1.000,bicubic +convnextv2_huge.fcmae_ft_in1k,97.900,2.100,99.670,0.330,660.29,288,1.000,bicubic +tf_efficientnetv2_xl.in21k_ft_in1k,97.900,2.100,99.570,0.430,208.12,512,1.000,bicubic +vit_large_patch14_clip_224.laion2b_ft_in1k,97.890,2.110,99.650,0.350,304.20,224,1.000,bicubic convnext_base.fb_in22k_ft_in1k,97.860,2.140,99.680,0.320,88.59,288,1.000,bicubic vit_large_r50_s32_384.augreg_in21k_ft_in1k,97.860,2.140,99.670,0.330,329.09,384,1.000,bicubic -swinv2_large_window12to16_192to256_22kft1k,97.860,2.140,99.650,0.350,196.74,256,0.900,bicubic -deit3_base_patch16_384_in21ft1k,97.840,2.160,99.680,0.320,86.88,384,1.000,bicubic +swinv2_large_window12to16_192to256.ms_in22k_ft_in1k,97.850,2.150,99.650,0.350,196.74,256,0.900,bicubic +convformer_s36.sail_in22k_ft_in1k_384,97.850,2.150,99.640,0.360,40.01,384,1.000,bicubic +deit3_base_patch16_384.fb_in22k_ft_in1k,97.840,2.160,99.680,0.320,86.88,384,1.000,bicubic +caformer_m36.sail_in22k_ft_in1k,97.840,2.160,99.670,0.330,56.20,224,1.000,bicubic vit_base_patch16_384.augreg_in21k_ft_in1k,97.840,2.160,99.670,0.330,86.86,384,1.000,bicubic maxvit_large_tf_512.in1k,97.830,2.170,99.560,0.440,212.33,512,1.000,bicubic beit_base_patch16_384.in22k_ft_in22k_in1k,97.820,2.180,99.700,0.300,86.74,384,1.000,bicubic tf_efficientnetv2_m.in21k_ft_in1k,97.820,2.180,99.600,0.400,54.14,480,1.000,bicubic +maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k,97.810,2.190,99.650,0.350,116.14,224,0.950,bicubic tf_efficientnetv2_l.in21k_ft_in1k,97.800,2.200,99.770,0.230,118.52,480,1.000,bicubic -volo_d5_512,97.770,2.230,99.670,0.330,296.09,512,1.150,bicubic -volo_d5_448,97.760,2.240,99.620,0.380,295.91,448,1.150,bicubic +convnext_small.in12k_ft_in1k_384,97.800,2.200,99.660,0.340,50.22,384,1.000,bicubic +regnety_160.swag_ft_in1k,97.780,2.220,99.760,0.240,83.59,384,1.000,bicubic +dm_nfnet_f6.dm_in1k,97.780,2.220,99.650,0.350,438.36,576,0.956,bicubic +dm_nfnet_f5.dm_in1k,97.780,2.220,99.600,0.400,377.21,544,0.954,bicubic +volo_d5_512.sail_in1k,97.770,2.230,99.670,0.330,296.09,512,1.150,bicubic +maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k,97.760,2.240,99.700,0.300,116.09,224,0.950,bicubic +volo_d5_448.sail_in1k,97.750,2.250,99.620,0.380,295.91,448,1.150,bicubic maxvit_small_tf_512.in1k,97.750,2.250,99.550,0.450,69.13,512,1.000,bicubic -maxvit_base_tf_512.in1k,97.740,2.260,99.610,0.390,119.88,512,1.000,bicubic -vit_base_patch16_clip_384.laion2b_ft_in1k,97.730,2.270,99.630,0.370,86.86,384,1.000,bicubic -vit_base_patch8_224.augreg2_in21k_ft_in1k,97.710,2.290,99.650,0.350,86.58,224,0.900,bicubic +maxvit_base_tf_512.in1k,97.730,2.270,99.610,0.390,119.88,512,1.000,bicubic +vit_base_patch16_clip_384.laion2b_ft_in1k,97.720,2.280,99.630,0.370,86.86,384,1.000,bicubic beitv2_base_patch16_224.in1k_ft_in22k_in1k,97.690,2.310,99.680,0.320,86.53,224,0.900,bicubic -volo_d4_448,97.670,2.330,99.610,0.390,193.41,448,1.150,bicubic -swinv2_base_window12to16_192to256_22kft1k,97.650,2.350,99.720,0.280,87.92,256,0.900,bicubic -swin_large_patch4_window7_224,97.650,2.350,99.580,0.420,196.53,224,0.900,bicubic -vit_large_patch16_224.augreg_in21k_ft_in1k,97.640,2.360,99.590,0.410,304.33,224,0.900,bicubic -tf_efficientnet_b6.ns_jft_in1k,97.630,2.370,99.580,0.420,43.04,528,0.942,bicubic -ig_resnext101_32x48d,97.620,2.380,99.700,0.300,828.41,224,0.875,bilinear -convnext_small.fb_in22k_ft_in1k_384,97.600,2.400,99.600,0.400,50.22,384,1.000,bicubic -dm_nfnet_f6,97.600,2.400,99.550,0.450,438.36,576,0.956,bicubic -vit_base_patch8_224.augreg_in21k_ft_in1k,97.580,2.420,99.670,0.330,86.58,224,0.900,bicubic -dm_nfnet_f4,97.580,2.420,99.510,0.490,316.07,512,0.951,bicubic +vit_base_patch8_224.augreg2_in21k_ft_in1k,97.690,2.310,99.650,0.350,86.58,224,0.900,bicubic +volo_d4_448.sail_in1k,97.670,2.330,99.610,0.390,193.41,448,1.150,bicubic +swinv2_base_window12to16_192to256.ms_in22k_ft_in1k,97.660,2.340,99.720,0.280,87.92,256,0.900,bicubic +convnextv2_large.fcmae_ft_in1k,97.660,2.340,99.610,0.390,197.96,288,1.000,bicubic +regnety_1280.swag_lc_in1k,97.650,2.350,99.640,0.360,644.81,224,0.965,bicubic +coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k,97.650,2.350,99.570,0.430,73.88,224,0.950,bicubic +swin_large_patch4_window7_224.ms_in22k_ft_in1k,97.650,2.350,99.570,0.430,196.53,224,0.900,bicubic +dm_nfnet_f4.dm_in1k,97.640,2.360,99.540,0.460,316.07,512,0.951,bicubic +vit_large_patch16_224.augreg_in21k_ft_in1k,97.630,2.370,99.590,0.410,304.33,224,0.900,bicubic +tf_efficientnet_b6.ns_jft_in1k,97.620,2.380,99.580,0.420,43.04,528,0.942,bicubic +convnext_base.clip_laiona_augreg_ft_in1k_384,97.620,2.380,99.550,0.450,88.59,384,1.000,bicubic +convnext_small.fb_in22k_ft_in1k_384,97.610,2.390,99.600,0.400,50.22,384,1.000,bicubic +convnext_base.clip_laion2b_augreg_ft_in12k_in1k,97.600,2.400,99.720,0.280,88.59,256,1.000,bicubic +convformer_m36.sail_in22k_ft_in1k,97.600,2.400,99.620,0.380,57.05,224,1.000,bicubic +caformer_s36.sail_in22k_ft_in1k,97.600,2.400,99.610,0.390,39.30,224,1.000,bicubic +maxvit_tiny_tf_512.in1k,97.580,2.420,99.560,0.440,31.05,512,1.000,bicubic +vit_base_patch8_224.augreg_in21k_ft_in1k,97.570,2.430,99.670,0.330,86.58,224,0.900,bicubic maxvit_base_tf_384.in1k,97.570,2.430,99.590,0.410,119.65,384,1.000,bicubic -maxvit_tiny_tf_512.in1k,97.570,2.430,99.560,0.440,31.05,512,1.000,bicubic maxvit_large_tf_384.in1k,97.570,2.430,99.530,0.470,212.03,384,1.000,bicubic -vit_base_patch16_clip_384.openai_ft_in1k,97.550,2.450,99.660,0.340,86.86,384,1.000,bicubic -volo_d3_448,97.550,2.450,99.550,0.450,86.63,448,1.000,bicubic -dm_nfnet_f5,97.540,2.460,99.570,0.430,377.21,544,0.954,bicubic -xcit_large_24_p8_384_dist,97.520,2.480,99.540,0.460,188.93,384,1.000,bicubic -vit_base_patch16_clip_224.openai_ft_in12k_in1k,97.520,2.480,99.500,0.500,86.57,224,0.950,bicubic -xcit_large_24_p16_384_dist,97.520,2.480,99.480,0.520,189.10,384,1.000,bicubic -tf_efficientnet_b5.ns_jft_in1k,97.500,2.500,99.630,0.370,30.39,456,0.934,bicubic -resnetv2_152x4_bitm,97.490,2.510,99.610,0.390,936.53,480,1.000,bilinear -deit3_base_patch16_224_in21ft1k,97.480,2.520,99.600,0.400,86.59,224,1.000,bicubic -cait_m48_448,97.480,2.520,99.550,0.450,356.46,448,1.000,bicubic +volo_d3_448.sail_in1k,97.550,2.450,99.560,0.440,86.63,448,1.000,bicubic +vit_base_patch16_clip_384.openai_ft_in1k,97.540,2.460,99.660,0.340,86.86,384,1.000,bicubic +convformer_b36.sail_in1k_384,97.530,2.470,99.520,0.480,99.88,384,1.000,bicubic +vit_base_patch16_clip_224.openai_ft_in12k_in1k,97.530,2.470,99.500,0.500,86.57,224,0.950,bicubic +coatnet_2_rw_224.sw_in12k_ft_in1k,97.520,2.480,99.600,0.400,73.87,224,0.950,bicubic +xcit_large_24_p8_384.fb_dist_in1k,97.520,2.480,99.540,0.460,188.93,384,1.000,bicubic +xcit_large_24_p16_384.fb_dist_in1k,97.520,2.480,99.480,0.520,189.10,384,1.000,bicubic +tf_efficientnet_b5.ns_jft_in1k,97.500,2.500,99.640,0.360,30.39,456,0.934,bicubic +caformer_b36.sail_in1k_384,97.500,2.500,99.580,0.420,98.75,384,1.000,bicubic +resnetv2_152x4_bit.goog_in21k_ft_in1k,97.490,2.510,99.610,0.390,936.53,480,1.000,bilinear +deit3_base_patch16_224.fb_in22k_ft_in1k,97.480,2.520,99.600,0.400,86.59,224,1.000,bicubic +cait_m48_448.fb_dist_in1k,97.480,2.520,99.550,0.450,356.46,448,1.000,bicubic +dm_nfnet_f3.dm_in1k,97.470,2.530,99.560,0.440,254.92,416,0.940,bicubic tf_efficientnetv2_l.in1k,97.470,2.530,99.530,0.470,118.52,480,1.000,bicubic +regnety_160.lion_in12k_ft_in1k,97.450,2.550,99.600,0.400,83.59,288,1.000,bicubic +regnety_160.sw_in12k_ft_in1k,97.450,2.550,99.590,0.410,83.59,288,1.000,bicubic vit_base_patch16_clip_224.laion2b_ft_in12k_in1k,97.450,2.550,99.540,0.460,86.57,224,0.950,bicubic -vit_medium_patch16_gap_384.in12k_ft_in1k,97.440,2.560,99.640,0.360,39.03,384,0.950,bicubic -deit3_large_patch16_384,97.420,2.580,99.620,0.380,304.76,384,1.000,bicubic -maxvit_small_tf_384.in1k,97.420,2.580,99.510,0.490,69.02,384,1.000,bicubic +vit_medium_patch16_gap_384.sw_in12k_ft_in1k,97.440,2.560,99.640,0.360,39.03,384,0.950,bicubic +caformer_m36.sail_in1k_384,97.440,2.560,99.600,0.400,56.20,384,1.000,bicubic +maxvit_small_tf_384.in1k,97.430,2.570,99.510,0.490,69.02,384,1.000,bicubic +deit3_large_patch16_384.fb_in1k,97.420,2.580,99.620,0.380,304.76,384,1.000,bicubic +caformer_s18.sail_in22k_ft_in1k_384,97.420,2.580,99.570,0.430,26.34,384,1.000,bicubic flexivit_large.1200ep_in1k,97.410,2.590,99.600,0.400,304.36,240,0.950,bicubic -efficientnet_b5.in12k_ft_in1k,97.410,2.590,99.540,0.460,30.39,448,1.000,bicubic -cait_m36_384,97.400,2.600,99.510,0.490,271.22,384,1.000,bicubic -volo_d5_224,97.380,2.620,99.570,0.430,295.46,224,0.960,bicubic -ig_resnext101_32x32d,97.360,2.640,99.680,0.320,468.53,224,0.875,bilinear +efficientnet_b5.sw_in12k_ft_in1k,97.410,2.590,99.550,0.450,30.39,448,1.000,bicubic +convformer_m36.sail_in1k_384,97.410,2.590,99.470,0.530,57.05,384,1.000,bicubic +cait_m36_384.fb_dist_in1k,97.400,2.600,99.510,0.490,271.22,384,1.000,bicubic +caformer_s36.sail_in1k_384,97.390,2.610,99.540,0.460,39.30,384,1.000,bicubic +volo_d5_224.sail_in1k,97.380,2.620,99.570,0.430,295.46,224,0.960,bicubic +resnext101_32x32d.fb_wsl_ig1b_ft_in1k,97.370,2.630,99.680,0.320,468.53,224,0.875,bilinear convnext_small.fb_in22k_ft_in1k,97.360,2.640,99.530,0.470,50.22,288,1.000,bicubic vit_base_patch32_clip_384.laion2b_ft_in12k_in1k,97.360,2.640,99.520,0.480,88.30,384,1.000,bicubic -dm_nfnet_f3,97.350,2.650,99.560,0.440,254.92,416,0.940,bicubic -cait_s36_384,97.330,2.670,99.530,0.470,68.37,384,1.000,bicubic -volo_d2_384,97.320,2.680,99.600,0.400,58.87,384,1.000,bicubic -vit_base_patch32_clip_448.laion2b_ft_in12k_in1k,97.320,2.680,99.480,0.520,88.34,448,1.000,bicubic -volo_d4_224,97.300,2.700,99.520,0.480,192.96,224,0.960,bicubic -maxvit_tiny_tf_384.in1k,97.300,2.700,99.500,0.500,30.98,384,1.000,bicubic -xcit_medium_24_p8_384_dist,97.290,2.710,99.510,0.490,84.32,384,1.000,bicubic +convnext_small.in12k_ft_in1k,97.350,2.650,99.580,0.420,50.22,288,1.000,bicubic +convnext_tiny.in12k_ft_in1k_384,97.340,2.660,99.600,0.400,28.59,384,1.000,bicubic +cait_s36_384.fb_dist_in1k,97.330,2.670,99.540,0.460,68.37,384,1.000,bicubic +volo_d2_384.sail_in1k,97.320,2.680,99.600,0.400,58.87,384,1.000,bicubic +maxvit_tiny_tf_384.in1k,97.310,2.690,99.500,0.500,30.98,384,1.000,bicubic +vit_base_patch32_clip_448.laion2b_ft_in12k_in1k,97.310,2.690,99.480,0.520,88.34,448,1.000,bicubic flexivit_large.600ep_in1k,97.280,2.720,99.590,0.410,304.36,240,0.950,bicubic -xcit_medium_24_p16_384_dist,97.270,2.730,99.460,0.540,84.40,384,1.000,bicubic -swin_base_patch4_window7_224,97.250,2.750,99.530,0.470,87.77,224,0.900,bicubic +swin_base_patch4_window7_224.ms_in22k_ft_in1k,97.280,2.720,99.540,0.460,87.77,224,0.900,bicubic +regnety_120.sw_in12k_ft_in1k,97.280,2.720,99.530,0.470,51.82,288,1.000,bicubic +volo_d4_224.sail_in1k,97.280,2.720,99.520,0.480,192.96,224,0.960,bicubic +xcit_medium_24_p8_384.fb_dist_in1k,97.280,2.720,99.510,0.490,84.32,384,1.000,bicubic +xcit_medium_24_p16_384.fb_dist_in1k,97.280,2.720,99.470,0.530,84.40,384,1.000,bicubic +convformer_s36.sail_in1k_384,97.280,2.720,99.430,0.570,40.01,384,1.000,bicubic +convformer_s18.sail_in22k_ft_in1k_384,97.270,2.730,99.550,0.450,26.77,384,1.000,bicubic flexivit_large.300ep_in1k,97.250,2.750,99.490,0.510,304.36,240,0.950,bicubic -xcit_small_24_p8_384_dist,97.240,2.760,99.600,0.400,47.63,384,1.000,bicubic -xcit_small_12_p8_384_dist,97.230,2.770,99.480,0.520,26.21,384,1.000,bicubic +xcit_small_24_p8_384.fb_dist_in1k,97.240,2.760,99.610,0.390,47.63,384,1.000,bicubic +convnext_base.clip_laion2b_augreg_ft_in1k,97.240,2.760,99.550,0.450,88.59,256,1.000,bicubic +convnextv2_tiny.fcmae_ft_in22k_in1k_384,97.240,2.760,99.520,0.480,28.64,384,1.000,bicubic +xcit_small_12_p8_384.fb_dist_in1k,97.230,2.770,99.480,0.520,26.21,384,1.000,bicubic +convnextv2_base.fcmae_ft_in1k,97.220,2.780,99.540,0.460,88.72,288,1.000,bicubic +regnety_2560.seer_ft_in1k,97.220,2.780,99.520,0.480,"1,282.60",384,1.000,bicubic +resnext101_32x8d.fb_swsl_ig1b_ft_in1k,97.210,2.790,99.570,0.430,88.79,224,0.875,bilinear tf_efficientnetv2_m.in1k,97.210,2.790,99.530,0.470,54.14,480,1.000,bicubic -swsl_resnext101_32x8d,97.200,2.800,99.570,0.430,88.79,224,0.875,bilinear -tf_efficientnet_b7.ap_in1k,97.200,2.800,99.540,0.460,66.35,600,0.949,bicubic -regnetz_e8,97.200,2.800,99.500,0.500,57.70,320,1.000,bicubic +regnetz_e8.ra3_in1k,97.200,2.800,99.500,0.500,57.70,320,1.000,bicubic tf_efficientnet_b8.ra_in1k,97.200,2.800,99.500,0.500,87.41,672,0.954,bicubic -vit_base_r50_s16_384.orig_in21k_ft_in1k,97.180,2.820,99.560,0.440,98.95,384,1.000,bicubic +vit_base_r50_s16_384.orig_in21k_ft_in1k,97.190,2.810,99.560,0.440,98.95,384,1.000,bicubic +tf_efficientnet_b7.ap_in1k,97.190,2.810,99.540,0.460,66.35,600,0.949,bicubic +beitv2_base_patch16_224.in1k_ft_in1k,97.170,2.830,99.470,0.530,86.53,224,0.900,bicubic +regnety_320.swag_lc_in1k,97.160,2.840,99.670,0.330,145.05,224,0.965,bicubic vit_base_patch16_224.augreg2_in21k_ft_in1k,97.150,2.850,99.540,0.460,86.57,224,0.900,bicubic -deit3_small_patch16_384_in21ft1k,97.130,2.870,99.500,0.500,22.21,384,1.000,bicubic +coat_lite_medium_384.in1k,97.150,2.850,99.450,0.550,44.57,384,1.000,bicubic +eva02_small_patch14_336.mim_in22k_ft_in1k,97.140,2.860,99.470,0.530,22.13,336,1.000,bicubic +deit3_small_patch16_384.fb_in22k_ft_in1k,97.130,2.870,99.500,0.500,22.21,384,1.000,bicubic vit_base_patch16_clip_224.laion2b_ft_in1k,97.130,2.870,99.460,0.540,86.57,224,1.000,bicubic -xcit_small_24_p16_384_dist,97.120,2.880,99.460,0.540,47.67,384,1.000,bicubic +xcit_small_24_p16_384.fb_dist_in1k,97.120,2.880,99.450,0.550,47.67,384,1.000,bicubic tf_efficientnet_b8.ap_in1k,97.110,2.890,99.660,0.340,87.41,672,0.954,bicubic vit_base_patch32_clip_384.openai_ft_in12k_in1k,97.110,2.890,99.500,0.500,88.30,384,0.950,bicubic +dm_nfnet_f2.dm_in1k,97.100,2.900,99.510,0.490,193.78,352,0.920,bicubic convnext_large.fb_in1k,97.100,2.900,99.450,0.550,197.77,288,1.000,bicubic -beit_base_patch16_224.in22k_ft_in22k_in1k,97.090,2.910,99.610,0.390,86.53,224,0.900,bicubic -eca_nfnet_l2,97.090,2.910,99.510,0.490,56.72,384,1.000,bicubic -volo_d3_224,97.090,2.910,99.470,0.530,86.33,224,0.960,bicubic -tf_efficientnet_b6.ap_in1k,97.080,2.920,99.620,0.380,43.04,528,0.942,bicubic +volo_d3_224.sail_in1k,97.090,2.910,99.460,0.540,86.33,224,0.960,bicubic +beit_base_patch16_224.in22k_ft_in22k_in1k,97.080,2.920,99.610,0.390,86.53,224,0.900,bicubic +tf_efficientnet_b6.ap_in1k,97.080,2.920,99.610,0.390,43.04,528,0.942,bicubic +convformer_s36.sail_in22k_ft_in1k,97.080,2.920,99.560,0.440,40.01,224,1.000,bicubic convnext_tiny.fb_in22k_ft_in1k_384,97.080,2.920,99.510,0.490,28.59,384,1.000,bicubic +eca_nfnet_l2.ra3_in1k,97.080,2.920,99.510,0.490,56.72,384,1.000,bicubic vit_base_patch16_clip_224.openai_ft_in1k,97.080,2.920,99.490,0.510,86.57,224,0.900,bicubic -ecaresnet269d,97.080,2.920,99.470,0.530,102.09,352,1.000,bicubic -cait_s24_384,97.070,2.930,99.430,0.570,47.06,384,1.000,bicubic -xcit_large_24_p8_224_dist,97.060,2.940,99.420,0.580,188.93,224,1.000,bicubic -dm_nfnet_f2,97.020,2.980,99.440,0.560,193.78,352,0.920,bicubic -deit3_base_patch16_384,97.020,2.980,99.390,0.610,86.88,384,1.000,bicubic -resnetv2_152x2_bitm,97.010,2.990,99.590,0.410,236.34,448,1.000,bilinear +ecaresnet269d.ra2_in1k,97.080,2.920,99.470,0.530,102.09,352,1.000,bicubic +caformer_s18.sail_in1k_384,97.080,2.920,99.420,0.580,26.34,384,1.000,bicubic +cait_s24_384.fb_dist_in1k,97.070,2.930,99.430,0.570,47.06,384,1.000,bicubic +xcit_large_24_p8_224.fb_dist_in1k,97.070,2.930,99.420,0.580,188.93,224,1.000,bicubic +convnext_tiny.in12k_ft_in1k,97.060,2.940,99.550,0.450,28.59,288,1.000,bicubic +convformer_s18.sail_in1k_384,97.040,2.960,99.380,0.620,26.77,384,1.000,bicubic +hrnet_w48_ssld.paddle_in1k,97.030,2.970,99.640,0.360,77.47,288,1.000,bilinear +deit3_base_patch16_384.fb_in1k,97.030,2.970,99.390,0.610,86.88,384,1.000,bicubic +dm_nfnet_f1.dm_in1k,97.030,2.970,99.390,0.610,132.63,320,0.910,bicubic tf_efficientnet_b7.ra_in1k,97.010,2.990,99.520,0.480,66.35,600,0.949,bicubic -resnetv2_101x3_bitm,96.990,3.010,99.490,0.510,387.93,448,1.000,bilinear -volo_d2_224,96.990,3.010,99.390,0.610,58.68,224,0.960,bicubic -efficientnetv2_rw_m.agc_in1k,96.980,3.020,99.540,0.460,53.24,416,1.000,bicubic -deit3_medium_patch16_224_in21ft1k,96.970,3.030,99.430,0.570,38.85,224,1.000,bicubic -deit_base_distilled_patch16_384,96.960,3.040,99.480,0.520,87.63,384,1.000,bicubic +resnetv2_152x2_bit.goog_in21k_ft_in1k,97.000,3.000,99.590,0.410,236.34,448,1.000,bilinear +volo_d2_224.sail_in1k,97.000,3.000,99.390,0.610,58.68,224,0.960,bicubic +caformer_b36.sail_in1k,96.990,3.010,99.340,0.660,98.75,224,1.000,bicubic +efficientnetv2_rw_m.agc_in1k,96.980,3.020,99.530,0.470,53.24,416,1.000,bicubic +resnetv2_101x3_bit.goog_in21k_ft_in1k,96.980,3.020,99.490,0.510,387.93,448,1.000,bilinear +deit3_medium_patch16_224.fb_in22k_ft_in1k,96.970,3.030,99.430,0.570,38.85,224,1.000,bicubic +deit_base_distilled_patch16_384.fb_in1k,96.960,3.040,99.480,0.520,87.63,384,1.000,bicubic +seresnextaa101d_32x8d.ah_in1k,96.960,3.040,99.390,0.610,93.59,288,1.000,bicubic maxvit_large_tf_224.in1k,96.960,3.040,99.250,0.750,211.79,224,0.950,bicubic tf_efficientnet_b4.ns_jft_in1k,96.950,3.050,99.580,0.420,19.34,380,0.922,bicubic -mvitv2_large,96.950,3.050,99.400,0.600,217.99,224,0.900,bicubic -seresnextaa101d_32x8d,96.950,3.050,99.390,0.610,93.59,288,1.000,bicubic maxvit_base_tf_224.in1k,96.950,3.050,99.260,0.740,119.47,224,0.950,bicubic -deit3_large_patch16_224,96.940,3.060,99.340,0.660,304.37,224,0.900,bicubic -xcit_small_12_p16_384_dist,96.930,3.070,99.400,0.600,26.25,384,1.000,bicubic -volo_d1_384,96.920,3.080,99.520,0.480,26.78,384,1.000,bicubic -dm_nfnet_f1,96.920,3.080,99.410,0.590,132.63,320,0.910,bicubic -xcit_medium_24_p8_224_dist,96.920,3.080,99.390,0.610,84.32,224,1.000,bicubic -resnetrs420,96.910,3.090,99.460,0.540,191.89,416,1.000,bicubic -vit_base_patch16_224.augreg_in21k_ft_in1k,96.880,3.120,99.530,0.470,86.57,224,0.900,bicubic -deit3_huge_patch14_224,96.880,3.120,99.480,0.520,632.13,224,0.900,bicubic -xcit_small_24_p8_224_dist,96.870,3.130,99.480,0.520,47.63,224,1.000,bicubic -resnetv2_152x2_bit_teacher_384,96.830,3.170,99.450,0.550,236.34,384,1.000,bicubic -ig_resnext101_32x16d,96.820,3.180,99.590,0.410,194.03,224,0.875,bilinear -convnext_base.fb_in1k,96.820,3.180,99.410,0.590,88.59,288,1.000,bicubic -maxxvit_rmlp_small_rw_256,96.810,3.190,99.380,0.620,66.01,256,0.950,bicubic -xcit_large_24_p16_224_dist,96.800,3.200,99.350,0.650,189.10,224,1.000,bicubic -vit_large_r50_s32_224.augreg_in21k_ft_in1k,96.790,3.210,99.350,0.650,328.99,224,0.900,bicubic -seresnet152d,96.770,3.230,99.450,0.550,66.84,320,1.000,bicubic -mvitv2_base,96.770,3.230,99.270,0.730,51.47,224,0.900,bicubic -resnetrs350,96.760,3.240,99.370,0.630,163.96,384,1.000,bicubic -flexivit_base.1200ep_in1k,96.760,3.240,99.360,0.640,86.59,240,0.950,bicubic -seresnext101_32x8d,96.760,3.240,99.340,0.660,93.57,288,1.000,bicubic -swinv2_base_window16_256,96.750,3.250,99.350,0.650,87.92,256,0.900,bicubic +deit3_large_patch16_224.fb_in1k,96.940,3.060,99.340,0.660,304.37,224,0.900,bicubic +davit_base.msft_in1k,96.940,3.060,99.260,0.740,87.95,224,0.950,bicubic +mvitv2_large.fb_in1k,96.930,3.070,99.400,0.600,217.99,224,0.900,bicubic +xcit_small_12_p16_384.fb_dist_in1k,96.920,3.080,99.400,0.600,26.25,384,1.000,bicubic +xcit_medium_24_p8_224.fb_dist_in1k,96.920,3.080,99.390,0.610,84.32,224,1.000,bicubic +volo_d1_384.sail_in1k,96.910,3.090,99.520,0.480,26.78,384,1.000,bicubic +resnetrs420.tf_in1k,96.910,3.090,99.460,0.540,191.89,416,1.000,bicubic +deit3_huge_patch14_224.fb_in1k,96.900,3.100,99.480,0.520,632.13,224,0.900,bicubic +convformer_b36.sail_in1k,96.900,3.100,99.220,0.780,99.88,224,1.000,bicubic +vit_base_patch16_224.augreg_in21k_ft_in1k,96.890,3.110,99.530,0.470,86.57,224,0.900,bicubic +caformer_m36.sail_in1k,96.890,3.110,99.430,0.570,56.20,224,1.000,bicubic +xcit_small_24_p8_224.fb_dist_in1k,96.870,3.130,99.480,0.520,47.63,224,1.000,bicubic +regnety_1280.seer_ft_in1k,96.860,3.140,99.390,0.610,644.81,384,1.000,bicubic +convnextv2_tiny.fcmae_ft_in22k_in1k,96.850,3.150,99.460,0.540,28.64,288,1.000,bicubic +regnety_640.seer_ft_in1k,96.850,3.150,99.420,0.580,281.38,384,1.000,bicubic +rexnetr_300.sw_in12k_ft_in1k,96.840,3.160,99.510,0.490,34.81,288,1.000,bicubic +resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384,96.830,3.170,99.450,0.550,236.34,384,1.000,bicubic +convnext_base.fb_in1k,96.830,3.170,99.410,0.590,88.59,288,1.000,bicubic +regnety_160.swag_lc_in1k,96.820,3.180,99.650,0.350,83.59,224,0.965,bicubic +resnext101_32x16d.fb_wsl_ig1b_ft_in1k,96.810,3.190,99.600,0.400,194.03,224,0.875,bilinear +maxxvit_rmlp_small_rw_256.sw_in1k,96.800,3.200,99.380,0.620,66.01,256,0.950,bicubic +xcit_large_24_p16_224.fb_dist_in1k,96.800,3.200,99.350,0.650,189.10,224,1.000,bicubic +vit_large_r50_s32_224.augreg_in21k_ft_in1k,96.790,3.210,99.340,0.660,328.99,224,0.900,bicubic +seresnet152d.ra2_in1k,96.770,3.230,99.440,0.560,66.84,320,1.000,bicubic +seresnext101_32x8d.ah_in1k,96.770,3.230,99.350,0.650,93.57,288,1.000,bicubic +mvitv2_base.fb_in1k,96.760,3.240,99.260,0.740,51.47,224,0.900,bicubic +resnetrs350.tf_in1k,96.750,3.250,99.370,0.630,163.96,384,1.000,bicubic +swinv2_base_window16_256.ms_in1k,96.750,3.250,99.350,0.650,87.92,256,0.900,bicubic +flexivit_base.1200ep_in1k,96.740,3.260,99.360,0.640,86.59,240,0.950,bicubic +edgenext_base.in21k_ft_in1k,96.730,3.270,99.420,0.580,18.51,320,1.000,bicubic tf_efficientnetv2_s.in21k_ft_in1k,96.730,3.270,99.420,0.580,21.46,384,1.000,bicubic -seresnext101d_32x8d,96.730,3.270,99.360,0.640,93.59,288,1.000,bicubic -resnet200d,96.720,3.280,99.330,0.670,64.69,320,1.000,bicubic -resnetv2_50x3_bitm,96.710,3.290,99.550,0.450,217.32,448,1.000,bilinear -regnetz_040h,96.710,3.290,99.500,0.500,28.94,320,1.000,bicubic -regnetz_040,96.710,3.290,99.470,0.530,27.12,320,1.000,bicubic -vit_base_patch16_384.orig_in21k_ft_in1k,96.700,3.300,99.510,0.490,86.86,384,1.000,bicubic +resnet200d.ra2_in1k,96.730,3.270,99.330,0.670,64.69,320,1.000,bicubic +vit_base_patch16_384.orig_in21k_ft_in1k,96.720,3.280,99.500,0.500,86.86,384,1.000,bicubic +regnetz_040.ra3_in1k,96.720,3.280,99.480,0.520,27.12,320,1.000,bicubic +resnetv2_50x3_bit.goog_in21k_ft_in1k,96.710,3.290,99.550,0.450,217.32,448,1.000,bilinear +caformer_s18.sail_in22k_ft_in1k,96.710,3.290,99.480,0.520,26.34,224,1.000,bicubic +regnetz_040_h.ra3_in1k,96.700,3.300,99.500,0.500,28.94,320,1.000,bicubic vit_small_patch16_384.augreg_in21k_ft_in1k,96.700,3.300,99.480,0.520,22.20,384,1.000,bicubic -edgenext_base,96.700,3.300,99.430,0.570,18.51,320,1.000,bicubic -resnetrs200,96.700,3.300,99.370,0.630,93.21,320,1.000,bicubic -eca_nfnet_l1,96.700,3.300,99.290,0.710,41.41,320,1.000,bicubic -xcit_small_12_p8_224_dist,96.690,3.310,99.390,0.610,26.21,224,1.000,bicubic -maxvit_small_tf_224.in1k,96.690,3.310,99.370,0.630,68.93,224,0.950,bicubic -resnetrs270,96.690,3.310,99.350,0.650,129.86,352,1.000,bicubic -vit_small_r26_s32_384.augreg_in21k_ft_in1k,96.680,3.320,99.570,0.430,36.47,384,1.000,bicubic +edgenext_base.usi_in1k,96.700,3.300,99.430,0.570,18.51,320,1.000,bicubic +xcit_small_12_p8_224.fb_dist_in1k,96.700,3.300,99.380,0.620,26.21,224,1.000,bicubic +resnetrs200.tf_in1k,96.700,3.300,99.370,0.630,93.21,320,1.000,bicubic +resnetaa101d.sw_in12k_ft_in1k,96.700,3.300,99.360,0.640,44.57,288,1.000,bicubic +seresnext101d_32x8d.ah_in1k,96.700,3.300,99.360,0.640,93.59,288,1.000,bicubic +eca_nfnet_l1.ra2_in1k,96.700,3.300,99.290,0.710,41.41,320,1.000,bicubic +caformer_s36.sail_in1k,96.690,3.310,99.360,0.640,39.30,224,1.000,bicubic +maxvit_small_tf_224.in1k,96.690,3.310,99.360,0.640,68.93,224,0.950,bicubic +resnetrs270.tf_in1k,96.690,3.310,99.350,0.650,129.86,352,1.000,bicubic +vit_small_r26_s32_384.augreg_in21k_ft_in1k,96.680,3.320,99.580,0.420,36.47,384,1.000,bicubic tf_efficientnet_b5.ap_in1k,96.680,3.320,99.460,0.540,30.39,456,0.934,bicubic -pit_b_distilled_224,96.680,3.320,99.350,0.650,74.79,224,0.900,bicubic +convformer_m36.sail_in1k,96.680,3.320,99.080,0.920,57.05,224,1.000,bicubic +vit_medium_patch16_gap_256.sw_in12k_ft_in1k,96.670,3.330,99.490,0.510,38.86,256,0.950,bicubic tf_efficientnet_b6.aa_in1k,96.670,3.330,99.370,0.630,43.04,528,0.942,bicubic -vit_medium_patch16_gap_256.in12k_ft_in1k,96.660,3.340,99.510,0.490,38.86,256,0.950,bicubic -deit3_small_patch16_224_in21ft1k,96.660,3.340,99.330,0.670,22.06,224,1.000,bicubic -flexivit_base.600ep_in1k,96.630,3.370,99.330,0.670,86.59,240,0.950,bicubic -resmlp_big_24_224_in22ft1k,96.620,3.380,99.510,0.490,129.14,224,0.875,bicubic -regnetz_d8,96.620,3.380,99.450,0.550,23.37,320,1.000,bicubic +deit3_small_patch16_224.fb_in22k_ft_in1k,96.660,3.340,99.330,0.670,22.06,224,1.000,bicubic +flexivit_base.600ep_in1k,96.650,3.350,99.330,0.670,86.59,240,0.950,bicubic +coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k,96.640,3.360,99.160,0.840,41.72,224,0.950,bicubic +davit_small.msft_in1k,96.630,3.370,99.350,0.650,49.75,224,0.950,bicubic +convformer_s18.sail_in22k_ft_in1k,96.630,3.370,99.340,0.660,26.77,224,1.000,bicubic +resmlp_big_24_224.fb_in22k_ft_in1k,96.620,3.380,99.510,0.490,129.14,224,0.875,bicubic +regnetz_d8.ra3_in1k,96.620,3.380,99.450,0.550,23.37,320,1.000,bicubic flexivit_base.300ep_in1k,96.620,3.380,99.270,0.730,86.59,240,0.950,bicubic -regnetz_d8_evos,96.610,3.390,99.450,0.550,23.46,320,0.950,bicubic -resnest200e,96.610,3.390,99.350,0.650,70.20,320,0.909,bicubic -swsl_resnext101_32x16d,96.600,3.400,99.520,0.480,194.03,224,0.875,bilinear -regnetz_d32,96.600,3.400,99.380,0.620,27.58,320,0.950,bicubic -xcit_medium_24_p16_224_dist,96.590,3.410,99.270,0.730,84.40,224,1.000,bicubic -maxvit_rmlp_small_rw_224,96.590,3.410,99.110,0.890,64.90,224,0.900,bicubic -resnetrs152,96.580,3.420,99.240,0.760,86.62,320,1.000,bicubic -gcvit_base,96.570,3.430,99.230,0.770,90.32,224,0.875,bicubic -convnext_small.fb_in1k,96.560,3.440,99.340,0.660,50.22,288,1.000,bicubic -cait_xs24_384,96.550,3.450,99.420,0.580,26.67,384,1.000,bicubic -xcit_tiny_24_p8_384_dist,96.550,3.450,99.320,0.680,12.11,384,1.000,bicubic +resnest200e.in1k,96.610,3.390,99.350,0.650,70.20,320,0.909,bicubic +resnext101_32x16d.fb_swsl_ig1b_ft_in1k,96.600,3.400,99.530,0.470,194.03,224,0.875,bilinear +xcit_medium_24_p16_224.fb_dist_in1k,96.600,3.400,99.270,0.730,84.40,224,1.000,bicubic +regnetz_d32.ra3_in1k,96.590,3.410,99.380,0.620,27.58,320,0.950,bicubic +swin_base_patch4_window12_384.ms_in1k,96.580,3.420,99.250,0.750,87.90,384,1.000,bicubic +resnetrs152.tf_in1k,96.580,3.420,99.240,0.760,86.62,320,1.000,bicubic +convformer_s36.sail_in1k,96.580,3.420,99.170,0.830,40.01,224,1.000,bicubic +maxvit_rmlp_small_rw_224.sw_in1k,96.580,3.420,99.120,0.880,64.90,224,0.900,bicubic +regnetz_d8_evos.ch_in1k,96.570,3.430,99.460,0.540,23.46,320,1.000,bicubic +gcvit_base.in1k,96.570,3.430,99.230,0.770,90.32,224,0.875,bicubic +focalnet_base_srf.ms_in1k,96.560,3.440,99.140,0.860,88.15,224,0.900,bicubic +cait_xs24_384.fb_dist_in1k,96.540,3.460,99.420,0.580,26.67,384,1.000,bicubic efficientnetv2_rw_s.ra2_in1k,96.540,3.460,99.360,0.640,23.94,384,1.000,bicubic -swinv2_base_window8_256,96.540,3.460,99.270,0.730,87.92,256,0.900,bicubic -coatnet_rmlp_2_rw_224,96.540,3.460,99.100,0.900,73.88,224,0.950,bicubic -regnety_080,96.530,3.470,99.320,0.680,39.18,288,1.000,bicubic -crossvit_18_dagger_408,96.530,3.470,99.260,0.740,44.61,408,1.000,bicubic -resnest269e,96.520,3.480,99.350,0.650,110.93,416,0.928,bicubic +tf_efficientnet_b7.aa_in1k,96.540,3.460,99.300,0.700,66.35,600,0.949,bicubic +crossvit_18_dagger_408.in1k,96.540,3.460,99.260,0.740,44.61,408,1.000,bicubic +coatnet_rmlp_2_rw_224.sw_in1k,96.540,3.460,99.100,0.900,73.88,224,0.950,bicubic +xcit_tiny_24_p8_384.fb_dist_in1k,96.530,3.470,99.320,0.680,12.11,384,1.000,bicubic +swinv2_base_window8_256.ms_in1k,96.530,3.470,99.270,0.730,87.92,256,0.900,bicubic +convnext_small.fb_in1k,96.520,3.480,99.340,0.660,50.22,288,1.000,bicubic +regnety_080.ra3_in1k,96.520,3.480,99.320,0.680,39.18,288,1.000,bicubic +resnest269e.in1k,96.510,3.490,99.350,0.650,110.93,416,0.928,bicubic vit_base_patch32_384.augreg_in21k_ft_in1k,96.490,3.510,99.410,0.590,88.30,384,1.000,bicubic -swinv2_small_window16_256,96.470,3.530,99.200,0.800,49.73,256,0.900,bicubic -vit_base_patch16_224_miil.in21k_ft_in1k,96.460,3.540,99.300,0.700,86.54,224,0.875,bilinear -resmlp_big_24_distilled_224,96.450,3.550,99.310,0.690,129.14,224,0.875,bicubic -cs3se_edgenet_x,96.440,3.560,99.400,0.600,50.72,320,1.000,bicubic -swsl_resnext101_32x4d,96.420,3.580,99.470,0.530,44.18,224,0.875,bilinear -maxvit_rmlp_tiny_rw_256,96.410,3.590,99.390,0.610,29.15,256,0.950,bicubic -regnetv_064,96.410,3.590,99.360,0.640,30.58,288,1.000,bicubic -xcit_large_24_p8_224,96.410,3.590,98.980,1.020,188.93,224,1.000,bicubic -xcit_small_24_p8_224,96.400,3.600,99.150,0.850,47.63,224,1.000,bicubic +swin_small_patch4_window7_224.ms_in22k_ft_in1k,96.480,3.520,99.390,0.610,49.61,224,0.900,bicubic +tf_efficientnet_b5.aa_in1k,96.470,3.530,99.240,0.760,30.39,456,0.934,bicubic +swinv2_small_window16_256.ms_in1k,96.470,3.530,99.200,0.800,49.73,256,0.900,bicubic +coat_lite_medium.in1k,96.470,3.530,99.150,0.850,44.57,224,0.900,bicubic +cs3se_edgenet_x.c2ns_in1k,96.450,3.550,99.400,0.600,50.72,320,1.000,bicubic +resmlp_big_24_224.fb_distilled_in1k,96.450,3.550,99.310,0.690,129.14,224,0.875,bicubic +vit_base_patch16_224_miil.in21k_ft_in1k,96.450,3.550,99.300,0.700,86.54,224,0.875,bilinear +focalnet_base_lrf.ms_in1k,96.450,3.550,99.120,0.880,88.75,224,0.900,bicubic +resnext101_32x4d.fb_swsl_ig1b_ft_in1k,96.420,3.580,99.470,0.530,44.18,224,0.875,bilinear +maxvit_rmlp_tiny_rw_256.sw_in1k,96.420,3.580,99.380,0.620,29.15,256,0.950,bicubic +cait_s24_224.fb_dist_in1k,96.420,3.580,99.150,0.850,46.92,224,1.000,bicubic +regnetv_064.ra3_in1k,96.410,3.590,99.360,0.640,30.58,288,1.000,bicubic +xcit_small_24_p8_224.fb_in1k,96.410,3.590,99.150,0.850,47.63,224,1.000,bicubic +xcit_large_24_p8_224.fb_in1k,96.400,3.600,98.990,1.010,188.93,224,1.000,bicubic +resnet152d.ra2_in1k,96.390,3.610,99.390,0.610,60.21,320,1.000,bicubic tf_efficientnet_b3.ns_jft_in1k,96.390,3.610,99.350,0.650,12.23,300,0.904,bicubic -crossvit_15_dagger_408,96.390,3.610,99.160,0.840,28.50,408,1.000,bicubic -cait_s24_224,96.380,3.620,99.150,0.850,46.92,224,1.000,bicubic -resnet152d,96.360,3.640,99.390,0.610,60.21,320,1.000,bicubic -regnety_064,96.360,3.640,99.230,0.770,30.58,288,1.000,bicubic -mvitv2_small,96.360,3.640,99.200,0.800,34.87,224,0.900,bicubic -pvt_v2_b5,96.360,3.640,99.170,0.830,81.96,224,0.900,bicubic -regnety_160,96.350,3.650,99.330,0.670,83.59,288,1.000,bicubic -tf_efficientnet_b5.ra_in1k,96.350,3.650,99.310,0.690,30.39,456,0.934,bicubic -xception65,96.350,3.650,99.240,0.760,39.92,299,0.940,bicubic +crossvit_15_dagger_408.in1k,96.390,3.610,99.160,0.840,28.50,408,1.000,bicubic +convnextv2_nano.fcmae_ft_in22k_in1k_384,96.370,3.630,99.400,0.600,15.62,384,1.000,bicubic +mvitv2_small.fb_in1k,96.370,3.630,99.200,0.800,34.87,224,0.900,bicubic +xception65.ra3_in1k,96.360,3.640,99.240,0.760,39.92,299,0.940,bicubic +regnety_064.ra3_in1k,96.360,3.640,99.230,0.770,30.58,288,1.000,bicubic +pvt_v2_b5.in1k,96.360,3.640,99.170,0.830,81.96,224,0.900,bicubic +regnety_160.deit_in1k,96.350,3.650,99.330,0.670,83.59,288,1.000,bicubic +pvt_v2_b4.in1k,96.350,3.650,99.180,0.820,62.56,224,0.900,bicubic tf_efficientnetv2_s.in1k,96.340,3.660,99.200,0.800,21.46,384,1.000,bicubic -volo_d1_224,96.330,3.670,99.310,0.690,26.63,224,0.960,bicubic -pvt_v2_b4,96.330,3.670,99.180,0.820,62.56,224,0.900,bicubic -ig_resnext101_32x8d,96.320,3.680,99.430,0.570,88.79,224,0.875,bilinear -deit3_base_patch16_224,96.300,3.700,99.180,0.820,86.59,224,0.900,bicubic -gcvit_small,96.300,3.700,99.140,0.860,51.09,224,0.875,bicubic -resnet101d,96.290,3.710,99.230,0.770,44.57,320,1.000,bicubic -swinv2_small_window8_256,96.270,3.730,99.210,0.790,49.73,256,0.900,bicubic -twins_svt_large,96.270,3.730,99.170,0.830,99.27,224,0.900,bicubic -jx_nest_base,96.250,3.750,99.210,0.790,67.72,224,0.875,bicubic -swin_s3_base_224,96.250,3.750,99.140,0.860,71.13,224,0.900,bicubic -maxvit_tiny_rw_224,96.240,3.760,99.120,0.880,29.06,224,0.950,bicubic +resnext101_32x8d.fb_wsl_ig1b_ft_in1k,96.330,3.670,99.430,0.570,88.79,224,0.875,bilinear +regnety_320.seer_ft_in1k,96.330,3.670,99.350,0.650,145.05,384,1.000,bicubic +tf_efficientnet_b5.ra_in1k,96.330,3.670,99.310,0.690,30.39,456,0.934,bicubic +volo_d1_224.sail_in1k,96.320,3.680,99.310,0.690,26.63,224,0.960,bicubic +dm_nfnet_f0.dm_in1k,96.310,3.690,99.320,0.680,71.49,256,0.900,bicubic +deit3_base_patch16_224.fb_in1k,96.300,3.700,99.180,0.820,86.59,224,0.900,bicubic +resnet101d.ra2_in1k,96.290,3.710,99.230,0.770,44.57,320,1.000,bicubic +gcvit_small.in1k,96.280,3.720,99.140,0.860,51.09,224,0.875,bicubic +swinv2_small_window8_256.ms_in1k,96.270,3.730,99.210,0.790,49.73,256,0.900,bicubic +twins_svt_large.in1k,96.250,3.750,99.170,0.830,99.27,224,0.900,bicubic +nest_base_jx.goog_in1k,96.240,3.760,99.200,0.800,67.72,224,0.875,bicubic +swin_s3_base_224.ms_in1k,96.240,3.760,99.150,0.850,71.13,224,0.900,bicubic +maxvit_tiny_rw_224.sw_in1k,96.240,3.760,99.130,0.870,29.06,224,0.950,bicubic +pit_b_distilled_224.in1k,96.230,3.770,99.110,0.890,74.79,224,0.900,bicubic +swin_s3_small_224.ms_in1k,96.230,3.770,99.080,0.920,49.74,224,0.900,bicubic +ecaresnet101d.miil_in1k,96.220,3.780,99.310,0.690,44.57,288,0.950,bicubic +rexnetr_200.sw_in12k_ft_in1k,96.220,3.780,99.260,0.740,16.52,288,1.000,bicubic tf_efficientnetv2_b3.in21k_ft_in1k,96.220,3.780,99.230,0.770,14.36,300,0.900,bicubic -swin_s3_small_224,96.220,3.780,99.080,0.920,49.74,224,0.900,bicubic -xcit_small_24_p16_224_dist,96.210,3.790,99.210,0.790,47.67,224,1.000,bicubic -xception65p,96.210,3.790,99.180,0.820,39.82,299,0.940,bicubic -deit3_small_patch16_384,96.200,3.800,99.290,0.710,22.21,384,1.000,bicubic -regnetv_040,96.180,3.820,99.330,0.670,20.64,288,1.000,bicubic -swinv2_cr_small_ns_224,96.180,3.820,99.140,0.860,49.70,224,0.900,bicubic -mobilevitv2_175_384_in22ft1k,96.180,3.820,99.130,0.870,14.25,384,1.000,bicubic -gcvit_tiny,96.170,3.830,99.240,0.760,28.22,224,0.875,bicubic -tf_efficientnet_b4.ap_in1k,96.160,3.840,99.280,0.720,19.34,380,0.922,bicubic -tresnet_v2_l,96.160,3.840,99.240,0.760,46.17,224,0.875,bilinear -twins_svt_base,96.160,3.840,99.060,0.940,56.07,224,0.900,bicubic -dm_nfnet_f0,96.150,3.850,99.250,0.750,71.49,256,0.900,bicubic -efficientnet_b4.ra2_in1k,96.150,3.850,99.200,0.800,19.34,384,1.000,bicubic -twins_pcpvt_large,96.150,3.850,99.180,0.820,60.99,224,0.900,bicubic -deit_base_patch16_384,96.150,3.850,99.140,0.860,86.86,384,1.000,bicubic -vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,96.140,3.860,99.210,0.790,88.22,224,0.900,bicubic -sequencer2d_l,96.140,3.860,99.160,0.840,54.30,224,0.875,bicubic -resnetv2_50x1_bit_distilled,96.130,3.870,99.280,0.720,25.55,224,0.875,bicubic -regnetz_c16_evos,96.120,3.880,99.360,0.640,13.49,320,0.950,bicubic -nfnet_l0,96.120,3.880,99.240,0.760,35.07,288,1.000,bicubic -efficientformer_l7,96.110,3.890,99.270,0.730,82.23,224,0.950,bicubic -xcit_small_12_p8_224,96.110,3.890,99.160,0.840,26.21,224,1.000,bicubic -xcit_medium_24_p8_224,96.110,3.890,98.890,1.110,84.32,224,1.000,bicubic -resnetv2_101x1_bitm,96.100,3.900,99.280,0.720,44.54,448,1.000,bilinear -resnetv2_152x2_bit_teacher,96.100,3.900,99.280,0.720,236.34,224,0.875,bicubic -maxvit_tiny_tf_224.in1k,96.100,3.900,99.250,0.750,30.92,224,0.950,bicubic -deit_base_distilled_patch16_224,96.090,3.910,99.190,0.810,87.34,224,0.900,bicubic -resnext101_64x4d,96.080,3.920,99.240,0.760,83.46,288,1.000,bicubic -xcit_tiny_12_p8_384_dist,96.080,3.920,99.140,0.860,6.71,384,1.000,bicubic -deit3_medium_patch16_224,96.070,3.930,99.200,0.800,38.85,224,0.900,bicubic -swinv2_cr_small_224,96.070,3.930,98.870,1.130,49.70,224,0.900,bicubic -mobilevitv2_200_384_in22ft1k,96.040,3.960,99.080,0.920,18.45,384,1.000,bicubic -maxxvit_rmlp_nano_rw_256,96.030,3.970,99.260,0.740,16.78,256,0.950,bicubic -xcit_small_12_p16_224_dist,96.030,3.970,99.150,0.850,26.25,224,1.000,bicubic -cs3edgenet_x,96.030,3.970,99.140,0.860,47.82,288,1.000,bicubic -cs3sedarknet_x,96.030,3.970,99.110,0.890,35.40,288,1.000,bicubic -coatnet_1_rw_224,96.030,3.970,99.050,0.950,41.72,224,0.950,bicubic -regnety_040,96.020,3.980,99.190,0.810,20.65,288,1.000,bicubic +xcit_small_24_p16_224.fb_dist_in1k,96.220,3.780,99.210,0.790,47.67,224,1.000,bicubic +xception65p.ra3_in1k,96.210,3.790,99.180,0.820,39.82,299,0.940,bicubic +deit3_small_patch16_384.fb_in1k,96.200,3.800,99.300,0.700,22.21,384,1.000,bicubic +resnet152.a1h_in1k,96.200,3.800,99.220,0.780,60.19,288,1.000,bicubic +regnetv_040.ra3_in1k,96.190,3.810,99.330,0.670,20.64,288,1.000,bicubic +convnextv2_tiny.fcmae_ft_in1k,96.190,3.810,99.250,0.750,28.64,288,1.000,bicubic +gcvit_tiny.in1k,96.180,3.820,99.230,0.770,28.22,224,0.875,bicubic +focalnet_small_lrf.ms_in1k,96.180,3.820,99.190,0.810,50.34,224,0.900,bicubic +swinv2_cr_small_ns_224.sw_in1k,96.180,3.820,99.140,0.860,49.70,224,0.900,bicubic +mobilevitv2_175.cvnets_in22k_ft_in1k_384,96.180,3.820,99.120,0.880,14.25,384,1.000,bicubic +tf_efficientnet_b4.ap_in1k,96.160,3.840,99.270,0.730,19.34,380,0.922,bicubic +tresnet_v2_l.miil_in21k_ft_in1k,96.160,3.840,99.240,0.760,46.17,224,0.875,bilinear +deit_base_patch16_384.fb_in1k,96.160,3.840,99.140,0.860,86.86,384,1.000,bicubic +twins_svt_base.in1k,96.160,3.840,99.050,0.950,56.07,224,0.900,bicubic +efficientnet_b4.ra2_in1k,96.150,3.850,99.190,0.810,19.34,384,1.000,bicubic +sequencer2d_l.in1k,96.150,3.850,99.160,0.840,54.30,224,0.875,bicubic +regnetz_c16_evos.ch_in1k,96.140,3.860,99.360,0.640,13.49,320,0.950,bicubic +twins_pcpvt_large.in1k,96.140,3.860,99.170,0.830,60.99,224,0.900,bicubic +caformer_s18.sail_in1k,96.140,3.860,99.000,1.000,26.34,224,1.000,bicubic +resnetv2_50x1_bit.goog_distilled_in1k,96.130,3.870,99.280,0.720,25.55,224,0.875,bicubic +vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,96.130,3.870,99.220,0.780,88.22,224,0.900,bicubic +resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k,96.120,3.880,99.270,0.730,236.34,224,0.875,bicubic +nfnet_l0.ra2_in1k,96.120,3.880,99.240,0.760,35.07,288,1.000,bicubic +swin_base_patch4_window7_224.ms_in1k,96.120,3.880,99.060,0.940,87.77,224,0.900,bicubic +efficientformer_l7.snap_dist_in1k,96.110,3.890,99.270,0.730,82.23,224,0.950,bicubic +xcit_small_12_p8_224.fb_in1k,96.110,3.890,99.160,0.840,26.21,224,1.000,bicubic +resnetv2_101x1_bit.goog_in21k_ft_in1k,96.100,3.900,99.280,0.720,44.54,448,1.000,bilinear +maxvit_tiny_tf_224.in1k,96.100,3.900,99.270,0.730,30.92,224,0.950,bicubic +deit_base_distilled_patch16_224.fb_in1k,96.090,3.910,99.190,0.810,87.34,224,0.900,bicubic +xcit_medium_24_p8_224.fb_in1k,96.090,3.910,98.890,1.110,84.32,224,1.000,bicubic +resnext101_64x4d.c1_in1k,96.080,3.920,99.240,0.760,83.46,288,1.000,bicubic +regnety_320.tv2_in1k,96.080,3.920,99.230,0.770,145.05,224,0.965,bicubic +xcit_tiny_12_p8_384.fb_dist_in1k,96.080,3.920,99.140,0.860,6.71,384,1.000,bicubic +swinv2_cr_small_224.sw_in1k,96.080,3.920,98.860,1.140,49.70,224,0.900,bicubic +tf_efficientnet_b5.in1k,96.070,3.930,99.290,0.710,30.39,456,0.934,bicubic +deit3_medium_patch16_224.fb_in1k,96.070,3.930,99.200,0.800,38.85,224,0.900,bicubic +efficientformerv2_l.snap_dist_in1k,96.070,3.930,99.190,0.810,26.32,224,0.950,bicubic +focalnet_small_srf.ms_in1k,96.070,3.930,99.120,0.880,49.89,224,0.900,bicubic +convnextv2_nano.fcmae_ft_in22k_in1k,96.060,3.940,99.220,0.780,15.62,288,1.000,bicubic +mobilevitv2_200.cvnets_in22k_ft_in1k_384,96.060,3.940,99.080,0.920,18.45,384,1.000,bicubic +cs3edgenet_x.c2_in1k,96.050,3.950,99.140,0.860,47.82,288,1.000,bicubic +maxxvit_rmlp_nano_rw_256.sw_in1k,96.040,3.960,99.260,0.740,16.78,256,0.950,bicubic +resnetv2_101.a1h_in1k,96.040,3.960,99.170,0.830,44.54,288,1.000,bicubic +resnext101_64x4d.tv_in1k,96.030,3.970,99.160,0.840,83.46,224,0.875,bilinear +xcit_small_12_p16_224.fb_dist_in1k,96.030,3.970,99.130,0.870,26.25,224,1.000,bicubic +coatnet_1_rw_224.sw_in1k,96.030,3.970,99.060,0.940,41.72,224,0.950,bicubic +regnety_040.ra3_in1k,96.020,3.980,99.190,0.810,20.65,288,1.000,bicubic +resnet101.a1h_in1k,96.020,3.980,99.140,0.860,44.55,288,1.000,bicubic +cs3sedarknet_x.c2ns_in1k,96.020,3.980,99.110,0.890,35.40,288,1.000,bicubic convnext_tiny_hnf.a2h_in1k,96.020,3.980,99.070,0.930,28.59,288,1.000,bicubic -pvt_v2_b3,95.990,4.010,99.190,0.810,45.24,224,0.900,bicubic -sequencer2d_s,95.990,4.010,99.050,0.950,27.65,224,0.875,bicubic -convnext_nano.in12k_ft_in1k,95.980,4.020,99.320,0.680,15.59,288,1.000,bicubic -maxvit_rmlp_nano_rw_256,95.980,4.020,98.970,1.030,15.50,256,0.950,bicubic -regnety_032,95.970,4.030,99.190,0.810,19.44,288,1.000,bicubic -tresnet_xl_448,95.970,4.030,99.130,0.870,78.44,448,0.875,bilinear -jx_nest_small,95.960,4.040,99.030,0.970,38.35,224,0.875,bicubic -xcit_tiny_24_p16_384_dist,95.950,4.050,99.220,0.780,12.12,384,1.000,bicubic -eca_nfnet_l0,95.950,4.050,99.210,0.790,24.14,288,1.000,bicubic -coatnet_rmlp_1_rw_224,95.950,4.050,99.160,0.840,41.69,224,0.950,bicubic -swinv2_tiny_window16_256,95.930,4.070,99.140,0.860,28.35,256,0.900,bicubic -maxvit_nano_rw_256,95.930,4.070,99.000,1.000,15.45,256,0.950,bicubic -swin_small_patch4_window7_224,95.910,4.090,99.020,0.980,49.61,224,0.900,bicubic +hrnet_w18_ssld.paddle_in1k,95.990,4.010,99.320,0.680,21.30,288,1.000,bilinear +convnext_nano.in12k_ft_in1k,95.990,4.010,99.310,0.690,15.59,288,1.000,bicubic +pvt_v2_b3.in1k,95.990,4.010,99.190,0.810,45.24,224,0.900,bicubic +regnetx_320.tv2_in1k,95.990,4.010,99.100,0.900,107.81,224,0.965,bicubic +tresnet_xl.miil_in1k_448,95.980,4.020,99.130,0.870,78.44,448,0.875,bilinear +sequencer2d_s.in1k,95.980,4.020,99.050,0.950,27.65,224,0.875,bicubic +regnety_160.tv2_in1k,95.970,4.030,99.150,0.850,83.59,224,0.965,bicubic +nest_small_jx.goog_in1k,95.970,4.030,99.030,0.970,38.35,224,0.875,bicubic +maxvit_rmlp_nano_rw_256.sw_in1k,95.970,4.030,98.970,1.030,15.50,256,0.950,bicubic +regnety_032.ra_in1k,95.960,4.040,99.190,0.810,19.44,288,1.000,bicubic +coatnet_rmlp_1_rw_224.sw_in1k,95.960,4.040,99.160,0.840,41.69,224,0.950,bicubic +resnext101_32x8d.tv2_in1k,95.950,4.050,99.080,0.920,88.79,224,0.965,bilinear +convformer_s18.sail_in1k,95.950,4.050,98.900,1.100,26.77,224,1.000,bicubic +xcit_tiny_24_p16_384.fb_dist_in1k,95.940,4.060,99.220,0.780,12.12,384,1.000,bicubic +eca_nfnet_l0.ra2_in1k,95.940,4.060,99.210,0.790,24.14,288,1.000,bicubic +regnetz_c16.ra3_in1k,95.940,4.060,99.110,0.890,13.46,320,1.000,bicubic +swinv2_tiny_window16_256.ms_in1k,95.930,4.070,99.150,0.850,28.35,256,0.900,bicubic +swin_small_patch4_window7_224.ms_in1k,95.930,4.070,99.020,0.980,49.61,224,0.900,bicubic +maxvit_nano_rw_256.sw_in1k,95.920,4.080,99.010,0.990,15.45,256,0.950,bicubic +coat_small.in1k,95.910,4.090,99.150,0.850,21.69,224,0.900,bicubic tf_efficientnet_b4.aa_in1k,95.900,4.100,99.170,0.830,19.34,380,0.922,bicubic -resnet152,95.880,4.120,99.070,0.930,60.19,224,0.950,bicubic -swsl_resnext50_32x4d,95.870,4.130,99.250,0.750,25.03,224,0.875,bilinear -mvitv2_tiny,95.870,4.130,99.070,0.930,24.17,224,0.900,bicubic -resnest101e,95.860,4.140,99.210,0.790,48.28,256,0.875,bilinear -cs3darknet_x,95.860,4.140,99.180,0.820,35.05,288,1.000,bicubic -resnet51q,95.860,4.140,99.120,0.880,35.70,288,1.000,bilinear -tresnet_l_448,95.860,4.140,99.120,0.880,55.99,448,0.875,bilinear -cait_xxs36_384,95.850,4.150,99.090,0.910,17.37,384,1.000,bicubic +maxxvitv2_nano_rw_256.sw_in1k,95.900,4.100,99.050,0.950,23.70,256,0.950,bicubic +regnetx_160.tv2_in1k,95.880,4.120,99.090,0.910,54.28,224,0.965,bicubic +resnet51q.ra2_in1k,95.870,4.130,99.120,0.880,35.70,288,1.000,bilinear +resnext50_32x4d.fb_swsl_ig1b_ft_in1k,95.860,4.140,99.250,0.750,25.03,224,0.875,bilinear +resnest101e.in1k,95.860,4.140,99.200,0.800,48.28,256,0.875,bilinear +tresnet_l.miil_in1k_448,95.860,4.140,99.120,0.880,55.99,448,0.875,bilinear +regnety_080_tv.tv2_in1k,95.860,4.140,99.100,0.900,39.38,224,0.965,bicubic +mvitv2_tiny.fb_in1k,95.860,4.140,99.070,0.930,24.17,224,0.900,bicubic +cs3darknet_x.c2ns_in1k,95.850,4.150,99.170,0.830,35.05,288,1.000,bicubic +rexnet_300.nav_in1k,95.840,4.160,99.130,0.870,34.71,224,0.875,bicubic +resnetaa50d.sw_in12k_ft_in1k,95.830,4.170,99.170,0.830,25.58,288,1.000,bicubic vit_large_patch32_384.orig_in21k_ft_in1k,95.830,4.170,99.150,0.850,306.63,384,1.000,bicubic -xcit_tiny_24_p8_224_dist,95.810,4.190,99.210,0.790,12.11,224,1.000,bicubic -sequencer2d_m,95.810,4.190,99.110,0.890,38.31,224,0.875,bicubic -ssl_resnext101_32x16d,95.800,4.200,99.180,0.820,194.03,224,0.875,bilinear -regnetz_c16,95.800,4.200,99.100,0.900,13.46,320,0.940,bicubic +cait_xxs36_384.fb_dist_in1k,95.830,4.170,99.090,0.910,17.37,384,1.000,bicubic +tf_efficientnet_b4.in1k,95.820,4.180,99.050,0.950,19.34,380,0.922,bicubic +xcit_tiny_24_p8_224.fb_dist_in1k,95.810,4.190,99.210,0.790,12.11,224,1.000,bicubic +sequencer2d_m.in1k,95.810,4.190,99.110,0.890,38.31,224,0.875,bicubic +convnextv2_nano.fcmae_ft_in1k,95.800,4.200,99.090,0.910,15.62,288,1.000,bicubic +resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k,95.790,4.210,99.180,0.820,194.03,224,0.875,bilinear convnext_tiny.fb_in1k,95.790,4.210,99.160,0.840,28.59,288,1.000,bicubic -twins_pcpvt_base,95.790,4.210,99.130,0.870,43.83,224,0.900,bicubic +resnet61q.ra2_in1k,95.780,4.220,98.990,1.010,36.85,288,1.000,bicubic +twins_pcpvt_base.in1k,95.770,4.230,99.130,0.870,43.83,224,0.900,bicubic tf_efficientnet_b2.ns_jft_in1k,95.770,4.230,99.120,0.880,9.11,260,0.890,bicubic -resnet61q,95.770,4.230,98.990,1.010,36.85,288,1.000,bicubic -vit_relpos_base_patch16_clsgap_224.sw_in1k,95.760,4.240,99.040,0.960,86.43,224,0.900,bicubic +vit_relpos_base_patch16_clsgap_224.sw_in1k,95.770,4.230,99.040,0.960,86.43,224,0.900,bicubic +poolformerv2_m48.sail_in1k,95.770,4.230,98.980,1.020,73.35,224,1.000,bicubic +ecaresnet101d_pruned.miil_in1k,95.760,4.240,99.180,0.820,24.88,288,0.950,bicubic +seresnext50_32x4d.racm_in1k,95.740,4.260,99.180,0.820,27.56,288,0.950,bicubic gc_efficientnetv2_rw_t.agc_in1k,95.740,4.260,99.020,0.980,13.68,288,1.000,bicubic -tresnet_m,95.720,4.280,99.030,0.970,31.39,224,0.875,bilinear -efficientnet_b3.ra2_in1k,95.710,4.290,99.040,0.960,12.23,320,1.000,bicubic -pnasnet5large,95.710,4.290,98.920,1.080,86.06,331,0.911,bicubic -mobilevitv2_150_384_in22ft1k,95.700,4.300,99.140,0.860,10.59,384,1.000,bicubic -coatnet_bn_0_rw_224,95.700,4.300,99.050,0.950,27.44,224,0.950,bicubic -crossvit_15_dagger_240,95.690,4.310,98.830,1.170,28.21,240,0.875,bicubic -flexivit_small.600ep_in1k,95.680,4.320,99.050,0.950,22.06,240,0.950,bicubic -nasnetalarge,95.680,4.320,98.930,1.070,88.75,331,0.911,bicubic -xcit_tiny_24_p8_224,95.670,4.330,99.050,0.950,12.11,224,1.000,bicubic -resnetv2_101,95.640,4.360,98.990,1.010,44.54,224,0.950,bicubic -poolformer_m48,95.640,4.360,98.940,1.060,73.47,224,0.950,bicubic -pit_b_224,95.640,4.360,98.660,1.340,73.76,224,0.900,bicubic -vit_small_r26_s32_224.augreg_in21k_ft_in1k,95.630,4.370,99.190,0.810,36.43,224,0.900,bicubic -efficientnetv2_rw_t.ra2_in1k,95.610,4.390,99.070,0.930,13.65,288,1.000,bicubic -resnetv2_50d_evos,95.610,4.390,99.030,0.970,25.59,288,0.950,bicubic -efficientformer_l3,95.600,4.400,99.160,0.840,31.41,224,0.950,bicubic -gcvit_xtiny,95.580,4.420,99.040,0.960,19.98,224,0.875,bicubic -crossvit_18_dagger_240,95.570,4.430,99.060,0.940,44.27,240,0.875,bicubic -flexivit_small.1200ep_in1k,95.560,4.440,99.120,0.880,22.06,240,0.950,bicubic +efficientnet_b3.ra2_in1k,95.720,4.280,99.040,0.960,12.23,320,1.000,bicubic +tresnet_m.miil_in21k_ft_in1k,95.710,4.290,99.030,0.970,31.39,224,0.875,bilinear +pnasnet5large.tf_in1k,95.710,4.290,98.920,1.080,86.06,331,0.911,bicubic +coatnet_bn_0_rw_224.sw_in1k,95.700,4.300,99.050,0.950,27.44,224,0.950,bicubic +mobilevitv2_150.cvnets_in22k_ft_in1k_384,95.690,4.310,99.140,0.860,10.59,384,1.000,bicubic +nasnetalarge.tf_in1k,95.690,4.310,98.930,1.070,88.75,331,0.911,bicubic +crossvit_15_dagger_240.in1k,95.680,4.320,98.830,1.170,28.21,240,0.875,bicubic +flexivit_small.600ep_in1k,95.670,4.330,99.060,0.940,22.06,240,0.950,bicubic +xcit_tiny_24_p8_224.fb_in1k,95.660,4.340,99.050,0.950,12.11,224,1.000,bicubic +davit_tiny.msft_in1k,95.660,4.340,99.030,0.970,28.36,224,0.950,bicubic +vit_small_r26_s32_224.augreg_in21k_ft_in1k,95.640,4.360,99.190,0.810,36.43,224,0.900,bicubic +wide_resnet50_2.racm_in1k,95.630,4.370,99.240,0.760,68.88,288,0.950,bicubic +resnetv2_50d_evos.ah_in1k,95.630,4.370,99.110,0.890,25.59,288,1.000,bicubic +poolformer_m48.sail_in1k,95.630,4.370,98.940,1.060,73.47,224,0.950,bicubic +pit_b_224.in1k,95.620,4.380,98.670,1.330,73.76,224,0.900,bicubic +efficientnetv2_rw_t.ra2_in1k,95.600,4.400,99.070,0.930,13.65,288,1.000,bicubic +efficientformer_l3.snap_dist_in1k,95.590,4.410,99.160,0.840,31.41,224,0.950,bicubic +gcvit_xtiny.in1k,95.590,4.410,99.040,0.960,19.98,224,0.875,bicubic +crossvit_18_dagger_240.in1k,95.570,4.430,99.060,0.940,44.27,240,0.875,bicubic vit_relpos_base_patch16_224.sw_in1k,95.560,4.440,99.030,0.970,86.43,224,0.900,bicubic -pvt_v2_b2_li,95.550,4.450,98.990,1.010,22.55,224,0.900,bicubic -convit_base,95.550,4.450,98.870,1.130,86.54,224,0.875,bicubic -coat_lite_small,95.540,4.460,98.860,1.140,19.84,224,0.900,bicubic -ecaresnet101d,95.530,4.470,99.130,0.870,44.57,224,0.875,bicubic -levit_384,95.530,4.470,99.050,0.950,39.13,224,0.900,bicubic -vit_base_patch32_clip_224.laion2b_ft_in1k,95.530,4.470,98.860,1.140,88.22,224,0.900,bicubic -crossvit_base_240,95.530,4.470,98.820,1.180,105.03,240,0.875,bicubic -xcit_small_24_p16_224,95.530,4.470,98.770,1.230,47.67,224,1.000,bicubic -xcit_medium_24_p16_224,95.530,4.470,98.740,1.260,84.40,224,1.000,bicubic -fbnetv3_g.ra2_in1k,95.520,4.480,98.990,1.010,16.62,288,0.950,bilinear -xception41p,95.520,4.480,98.920,1.080,26.91,299,0.940,bicubic -ecaresnet50t,95.510,4.490,99.120,0.880,25.57,320,0.950,bicubic -vit_relpos_medium_patch16_rpn_224.sw_in1k,95.510,4.490,99.080,0.920,38.73,224,0.900,bicubic -swinv2_tiny_window8_256,95.500,4.500,99.120,0.880,28.35,256,0.900,bicubic -pvt_v2_b2,95.500,4.500,99.000,1.000,25.36,224,0.900,bicubic +pvt_v2_b2_li.in1k,95.560,4.440,98.990,1.010,22.55,224,0.900,bicubic +flexivit_small.1200ep_in1k,95.550,4.450,99.120,0.880,22.06,240,0.950,bicubic +convit_base.fb_in1k,95.550,4.450,98.880,1.120,86.54,224,0.875,bicubic +wide_resnet101_2.tv2_in1k,95.540,4.460,99.080,0.920,126.89,224,0.965,bilinear +coat_lite_small.in1k,95.540,4.460,98.860,1.140,19.84,224,0.900,bicubic +xcit_small_24_p16_224.fb_in1k,95.540,4.460,98.780,1.220,47.67,224,1.000,bicubic +xcit_medium_24_p16_224.fb_in1k,95.540,4.460,98.720,1.280,84.40,224,1.000,bicubic +levit_384.fb_dist_in1k,95.530,4.470,99.060,0.940,39.13,224,0.900,bicubic +levit_conv_384.fb_dist_in1k,95.530,4.470,99.050,0.950,39.13,224,0.900,bicubic +ecaresnet50t.ra2_in1k,95.520,4.480,99.110,0.890,25.57,320,0.950,bicubic +vit_base_patch32_clip_224.laion2b_ft_in1k,95.520,4.480,98.870,1.130,88.22,224,0.900,bicubic +resnet101.a1_in1k,95.520,4.480,98.850,1.150,44.55,288,1.000,bicubic +crossvit_base_240.in1k,95.520,4.480,98.810,1.190,105.03,240,0.875,bicubic +swin_tiny_patch4_window7_224.ms_in22k_ft_in1k,95.510,4.490,99.200,0.800,28.29,224,0.900,bicubic +resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k,95.510,4.490,99.120,0.880,88.79,224,0.875,bilinear +fbnetv3_g.ra2_in1k,95.510,4.490,98.990,1.010,16.62,288,0.950,bilinear +xception41p.ra3_in1k,95.510,4.490,98.910,1.090,26.91,299,0.940,bicubic +focalnet_tiny_srf.ms_in1k,95.500,4.500,99.130,0.870,28.43,224,0.900,bicubic +vit_relpos_medium_patch16_rpn_224.sw_in1k,95.500,4.500,99.080,0.920,38.73,224,0.900,bicubic flexivit_small.300ep_in1k,95.500,4.500,98.960,1.040,22.06,240,0.950,bicubic -visformer_small,95.490,4.510,98.900,1.100,40.22,224,0.900,bicubic -vit_relpos_medium_patch16_cls_224.sw_in1k,95.480,4.520,98.950,1.050,38.76,224,0.900,bicubic -ssl_resnext101_32x8d,95.470,4.530,99.110,0.890,88.79,224,0.875,bilinear +resnet152.tv2_in1k,95.500,4.500,98.960,1.040,60.19,224,0.965,bilinear +resnet152.a1_in1k,95.500,4.500,98.780,1.220,60.19,288,1.000,bicubic +swinv2_tiny_window8_256.ms_in1k,95.490,4.510,99.100,0.900,28.35,256,0.900,bicubic +visformer_small.in1k,95.490,4.510,98.900,1.100,40.22,224,0.900,bicubic +resnet152.a2_in1k,95.490,4.510,98.790,1.210,60.19,288,1.000,bicubic +pvt_v2_b2.in1k,95.480,4.520,99.000,1.000,25.36,224,0.900,bicubic +resnetv2_50d_gn.ah_in1k,95.480,4.520,98.950,1.050,25.57,288,1.000,bicubic +vit_relpos_medium_patch16_cls_224.sw_in1k,95.470,4.530,98.950,1.050,38.76,224,0.900,bicubic vit_relpos_medium_patch16_224.sw_in1k,95.460,4.540,98.960,1.040,38.75,224,0.900,bicubic -ssl_resnext101_32x4d,95.440,4.560,99.130,0.870,44.18,224,0.875,bilinear -tresnet_xl,95.440,4.560,99.050,0.950,78.44,224,0.875,bilinear -deit_base_patch16_224,95.440,4.560,98.840,1.160,86.57,224,0.900,bicubic -crossvit_18_240,95.440,4.560,98.790,1.210,43.27,240,0.875,bicubic -resnetv2_50d_gn,95.430,4.570,99.040,0.960,25.57,288,0.950,bicubic -resnetrs101,95.430,4.570,99.030,0.970,63.62,288,0.940,bicubic -coatnext_nano_rw_224,95.430,4.570,99.000,1.000,14.70,224,0.900,bicubic -coatnet_rmlp_nano_rw_224,95.430,4.570,98.990,1.010,15.15,224,0.900,bicubic -coatnet_0_rw_224,95.430,4.570,98.720,1.280,27.44,224,0.950,bicubic -xcit_small_12_p16_224,95.420,4.580,98.840,1.160,26.25,224,1.000,bicubic -xcit_large_24_p16_224,95.420,4.580,98.610,1.390,189.10,224,1.000,bicubic -swsl_resnet50,95.410,4.590,99.290,0.710,25.56,224,0.875,bilinear -edgenext_small,95.400,4.600,99.100,0.900,5.59,320,1.000,bicubic -halo2botnet50ts_256,95.390,4.610,99.010,0.990,22.64,256,0.950,bicubic -vit_base_patch16_rpn_224.in1k,95.380,4.620,98.930,1.070,86.54,224,0.900,bicubic -poolformer_m36,95.380,4.620,98.850,1.150,56.17,224,0.950,bicubic -vit_small_patch16_224.augreg_in21k_ft_in1k,95.370,4.630,99.150,0.850,22.05,224,0.900,bicubic -swinv2_cr_tiny_ns_224,95.370,4.630,98.930,1.070,28.33,224,0.900,bicubic +focalnet_tiny_lrf.ms_in1k,95.460,4.540,98.910,1.090,28.65,224,0.900,bicubic +ecaresnet50d.miil_in1k,95.450,4.550,99.090,0.910,25.58,288,0.950,bicubic +deit_base_patch16_224.fb_in1k,95.450,4.550,98.840,1.160,86.57,224,0.900,bicubic +resnext50_32x4d.a1h_in1k,95.450,4.550,98.840,1.160,25.03,288,1.000,bicubic +resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k,95.440,4.560,99.120,0.880,44.18,224,0.875,bilinear +tresnet_xl.miil_in1k,95.440,4.560,99.050,0.950,78.44,224,0.875,bilinear +crossvit_18_240.in1k,95.440,4.560,98.790,1.210,43.27,240,0.875,bicubic +coatnet_0_rw_224.sw_in1k,95.440,4.560,98.720,1.280,27.44,224,0.950,bicubic +resnetrs101.tf_in1k,95.430,4.570,99.040,0.960,63.62,288,0.940,bicubic +coatnext_nano_rw_224.sw_in1k,95.430,4.570,99.010,0.990,14.70,224,0.900,bicubic +coatnet_rmlp_nano_rw_224.sw_in1k,95.430,4.570,98.990,1.010,15.15,224,0.900,bicubic +xcit_large_24_p16_224.fb_in1k,95.430,4.570,98.630,1.370,189.10,224,1.000,bicubic +halo2botnet50ts_256.a1h_in1k,95.420,4.580,99.020,0.980,22.64,256,0.950,bicubic +xcit_small_12_p16_224.fb_in1k,95.420,4.580,98.840,1.160,26.25,224,1.000,bicubic +ecaresnet50t.a1_in1k,95.410,4.590,99.010,0.990,25.57,288,1.000,bicubic +resnet101.a2_in1k,95.410,4.590,98.940,1.060,44.55,288,1.000,bicubic +resnet50.fb_swsl_ig1b_ft_in1k,95.400,4.600,99.300,0.700,25.56,224,0.875,bilinear +edgenext_small.usi_in1k,95.400,4.600,99.100,0.900,5.59,320,1.000,bicubic +poolformerv2_m36.sail_in1k,95.400,4.600,98.870,1.130,56.08,224,1.000,bicubic +vit_base_patch16_rpn_224.sw_in1k,95.390,4.610,98.940,1.060,86.54,224,0.900,bicubic +poolformer_m36.sail_in1k,95.390,4.610,98.860,1.140,56.17,224,0.950,bicubic +vit_small_patch16_224.augreg_in21k_ft_in1k,95.370,4.630,99.140,0.860,22.05,224,0.900,bicubic +swinv2_cr_tiny_ns_224.sw_in1k,95.370,4.630,98.940,1.060,28.33,224,0.900,bicubic +efficientformerv2_s2.snap_dist_in1k,95.360,4.640,98.930,1.070,12.71,224,0.950,bicubic +ecaresnet50t.a2_in1k,95.350,4.650,98.920,1.080,25.57,288,1.000,bicubic convnext_nano.d1h_in1k,95.350,4.650,98.860,1.140,15.59,288,1.000,bicubic -resnet101,95.350,4.650,98.860,1.140,44.55,224,0.950,bicubic -vit_base_patch16_224.orig_in21k_ft_in1k,95.330,4.670,99.000,1.000,86.57,224,0.900,bicubic +vit_base_patch16_224.orig_in21k_ft_in1k,95.340,4.660,99.000,1.000,86.57,224,0.900,bicubic +seresnet50.ra2_in1k,95.330,4.670,99.010,0.990,28.09,288,0.950,bicubic tf_efficientnet_b3.ap_in1k,95.320,4.680,98.900,1.100,12.23,300,0.904,bicubic -cs3sedarknet_l,95.310,4.690,99.120,0.880,21.91,288,0.950,bicubic -mixer_b16_224_miil,95.300,4.700,98.880,1.120,59.88,224,0.875,bilinear +cs3sedarknet_l.c2ns_in1k,95.310,4.690,99.130,0.870,21.91,288,0.950,bicubic +poolformerv2_s36.sail_in1k,95.310,4.690,98.920,1.080,30.79,224,1.000,bicubic +regnety_032.tv2_in1k,95.310,4.690,98.910,1.090,19.44,224,0.965,bicubic +mixer_b16_224.miil_in21k_ft_in1k,95.300,4.700,98.880,1.120,59.88,224,0.875,bilinear +ecaresnetlight.miil_in1k,95.290,4.710,99.030,0.970,30.16,288,0.950,bicubic vit_small_patch16_384.augreg_in1k,95.290,4.710,99.000,1.000,22.20,384,1.000,bicubic -tresnet_l,95.280,4.720,99.010,0.990,55.99,224,0.875,bilinear -cait_xxs24_384,95.260,4.740,98.960,1.040,12.03,384,1.000,bicubic -jx_nest_tiny,95.250,4.750,98.980,1.020,17.06,224,0.875,bicubic -coatnet_nano_rw_224,95.250,4.750,98.870,1.130,15.14,224,0.900,bicubic -pit_s_distilled_224,95.240,4.760,99.050,0.950,24.04,224,0.900,bicubic -vit_srelpos_medium_patch16_224.sw_in1k,95.230,4.770,98.990,1.010,38.74,224,0.900,bicubic -mobilevitv2_175_in22ft1k,95.230,4.770,98.790,1.210,14.25,256,0.888,bicubic -resnetaa50,95.210,4.790,98.930,1.070,25.56,288,1.000,bicubic -twins_pcpvt_small,95.210,4.790,98.880,1.120,24.11,224,0.900,bicubic -convit_small,95.200,4.800,98.900,1.100,27.78,224,0.875,bicubic -twins_svt_small,95.200,4.800,98.880,1.120,24.06,224,0.900,bicubic -tf_efficientnet_b1.ns_jft_in1k,95.170,4.830,99.110,0.890,7.79,240,0.882,bicubic -cs3darknet_focus_l,95.170,4.830,98.960,1.040,21.15,288,0.950,bicubic -vit_relpos_small_patch16_224.sw_in1k,95.160,4.840,98.950,1.050,21.98,224,0.900,bicubic -swin_s3_tiny_224,95.160,4.840,98.940,1.060,28.33,224,0.900,bicubic -mobilevitv2_200_in22ft1k,95.160,4.840,98.930,1.070,18.45,256,0.888,bicubic -lamhalobotnet50ts_256,95.160,4.840,98.880,1.120,22.57,256,0.950,bicubic -tf_efficientnetv2_b3.in1k,95.160,4.840,98.820,1.180,14.36,300,0.904,bicubic -crossvit_15_240,95.150,4.850,98.930,1.070,27.53,240,0.875,bicubic -mobilevitv2_150_in22ft1k,95.140,4.860,98.860,1.140,10.59,256,0.888,bicubic -swin_tiny_patch4_window7_224,95.140,4.860,98.850,1.150,28.29,224,0.900,bicubic -xcit_tiny_12_p16_384_dist,95.130,4.870,99.020,0.980,6.72,384,1.000,bicubic -convnext_nano_ols.d1h_in1k,95.130,4.870,98.720,1.280,15.65,288,1.000,bicubic -efficientnet_el.ra_in1k,95.120,4.880,98.990,1.010,10.59,300,0.904,bicubic -cs3darknet_l,95.120,4.880,98.980,1.020,21.16,288,0.950,bicubic -vit_base_patch32_clip_224.openai_ft_in1k,95.120,4.880,98.980,1.020,88.22,224,0.900,bicubic -halonet50ts,95.100,4.900,98.780,1.220,22.73,256,0.940,bicubic -poolformer_s36,95.090,4.910,98.910,1.090,30.86,224,0.900,bicubic -gernet_l,95.090,4.910,98.900,1.100,31.08,256,0.875,bilinear -ecaresnet101d_pruned,95.080,4.920,98.980,1.020,24.88,224,0.875,bicubic -wide_resnet50_2,95.080,4.920,98.970,1.030,68.88,224,0.875,bicubic -xcit_tiny_12_p8_224_dist,95.080,4.920,98.910,1.090,6.71,224,1.000,bicubic -regnetz_b16,95.070,4.930,99.050,0.950,9.72,288,0.940,bicubic -legacy_senet154,95.070,4.930,98.830,1.170,115.09,224,0.875,bilinear -convmixer_1536_20,95.060,4.940,99.030,0.970,51.63,224,0.960,bicubic -vit_small_patch32_384.augreg_in21k_ft_in1k,95.050,4.950,98.990,1.010,22.92,384,1.000,bicubic -vit_srelpos_small_patch16_224.sw_in1k,95.040,4.960,98.960,1.040,21.97,224,0.900,bicubic -gluon_resnet152_v1s,95.040,4.960,98.930,1.070,60.32,224,0.875,bicubic -seresnext50_32x4d,95.040,4.960,98.880,1.120,27.56,224,0.875,bicubic +tresnet_l.miil_in1k,95.280,4.720,99.010,0.990,55.99,224,0.875,bilinear +cait_xxs24_384.fb_dist_in1k,95.280,4.720,98.960,1.040,12.03,384,1.000,bicubic +resnet101.tv2_in1k,95.270,4.730,98.910,1.090,44.55,224,0.965,bilinear +resnet50_gn.a1h_in1k,95.250,4.750,99.000,1.000,25.56,288,0.950,bicubic +vit_srelpos_medium_patch16_224.sw_in1k,95.240,4.760,98.990,1.010,38.74,224,0.900,bicubic +nest_tiny_jx.goog_in1k,95.240,4.760,98.980,1.020,17.06,224,0.875,bicubic +gcresnet50t.ra2_in1k,95.240,4.760,98.910,1.090,25.90,288,1.000,bicubic +coatnet_nano_rw_224.sw_in1k,95.240,4.760,98.870,1.130,15.14,224,0.900,bicubic +convnextv2_pico.fcmae_ft_in1k,95.230,4.770,98.920,1.080,9.07,288,0.950,bicubic +mobilevitv2_175.cvnets_in22k_ft_in1k,95.220,4.780,98.800,1.200,14.25,256,0.888,bicubic +convit_small.fb_in1k,95.210,4.790,98.900,1.100,27.78,224,0.875,bicubic +twins_pcpvt_small.in1k,95.210,4.790,98.880,1.120,24.11,224,0.900,bicubic +resnetaa50.a1h_in1k,95.200,4.800,98.920,1.080,25.56,288,1.000,bicubic +twins_svt_small.in1k,95.190,4.810,98.880,1.120,24.06,224,0.900,bicubic +swin_s3_tiny_224.ms_in1k,95.180,4.820,98.950,1.050,28.33,224,0.900,bicubic +tf_efficientnetv2_b3.in1k,95.180,4.820,98.820,1.180,14.36,300,0.904,bicubic +regnetz_b16.ra3_in1k,95.170,4.830,99.080,0.920,9.72,288,1.000,bicubic +tf_efficientnet_b1.ns_jft_in1k,95.160,4.840,99.100,0.900,7.79,240,0.882,bicubic +cs3darknet_focus_l.c2ns_in1k,95.160,4.840,98.960,1.040,21.15,288,0.950,bicubic +mobilevitv2_200.cvnets_in22k_ft_in1k,95.160,4.840,98.950,1.050,18.45,256,0.888,bicubic +lamhalobotnet50ts_256.a1h_in1k,95.160,4.840,98.880,1.120,22.57,256,0.950,bicubic +vit_relpos_small_patch16_224.sw_in1k,95.150,4.850,98.960,1.040,21.98,224,0.900,bicubic +crossvit_15_240.in1k,95.150,4.850,98.930,1.070,27.53,240,0.875,bicubic +pit_s_distilled_224.in1k,95.140,4.860,98.890,1.110,24.04,224,0.900,bicubic +mobilevitv2_150.cvnets_in22k_ft_in1k,95.140,4.860,98.860,1.140,10.59,256,0.888,bicubic +swin_tiny_patch4_window7_224.ms_in1k,95.140,4.860,98.850,1.150,28.29,224,0.900,bicubic +halonet50ts.a1h_in1k,95.140,4.860,98.780,1.220,22.73,256,0.940,bicubic +convnext_nano_ols.d1h_in1k,95.140,4.860,98.730,1.270,15.65,288,1.000,bicubic +xcit_tiny_12_p16_384.fb_dist_in1k,95.130,4.870,99.020,0.980,6.72,384,1.000,bicubic +cs3darknet_l.c2ns_in1k,95.120,4.880,98.980,1.020,21.16,288,0.950,bicubic +efficientnet_el.ra_in1k,95.120,4.880,98.970,1.030,10.59,300,0.904,bicubic +vit_base_patch32_clip_224.openai_ft_in1k,95.110,4.890,98.980,1.020,88.22,224,0.900,bicubic +ecaresnet50d_pruned.miil_in1k,95.110,4.890,98.930,1.070,19.94,288,0.950,bicubic +gernet_l.idstcv_in1k,95.110,4.890,98.900,1.100,31.08,256,0.875,bilinear +regnetx_080.tv2_in1k,95.100,4.900,98.830,1.170,39.57,224,0.965,bicubic +xcit_tiny_12_p8_224.fb_dist_in1k,95.090,4.910,98.910,1.090,6.71,224,1.000,bicubic +convmixer_1536_20.in1k,95.080,4.920,99.030,0.970,51.63,224,0.960,bicubic +poolformer_s36.sail_in1k,95.080,4.920,98.910,1.090,30.86,224,0.900,bicubic +legacy_senet154.in1k,95.070,4.930,98.830,1.170,115.09,224,0.875,bilinear +seresnet33ts.ra2_in1k,95.040,4.960,98.900,1.100,19.78,288,1.000,bicubic tnt_s_patch16_224,95.040,4.960,98.830,1.170,23.76,224,0.900,bicubic -resnetv2_50x1_bitm,95.010,4.990,99.060,0.940,25.55,448,1.000,bilinear -tf_efficientnet_b3.aa_in1k,95.010,4.990,98.910,1.090,12.23,300,0.904,bicubic -levit_256,95.010,4.990,98.890,1.110,18.89,224,0.900,bicubic -vit_base_patch32_224.augreg_in21k_ft_in1k,95.000,5.000,99.030,0.970,88.22,224,0.900,bicubic -deit3_small_patch16_224,95.000,5.000,98.460,1.540,22.06,224,0.900,bicubic -tresnet_m_448,94.990,5.010,98.980,1.020,31.39,448,0.875,bilinear -coat_mini,94.970,5.030,98.780,1.220,10.34,224,0.900,bicubic -resnest50d_4s2x40d,94.960,5.040,99.070,0.930,30.42,224,0.875,bicubic -rexnet_200,94.940,5.060,99.010,0.990,16.37,224,0.875,bicubic +vit_small_patch32_384.augreg_in21k_ft_in1k,95.030,4.970,98.990,1.010,22.92,384,1.000,bicubic +vit_srelpos_small_patch16_224.sw_in1k,95.030,4.970,98.950,1.050,21.97,224,0.900,bicubic +resnet152s.gluon_in1k,95.020,4.980,98.930,1.070,60.32,224,0.875,bicubic +levit_256.fb_dist_in1k,95.020,4.980,98.880,1.120,18.89,224,0.900,bicubic +levit_conv_256.fb_dist_in1k,95.020,4.980,98.880,1.120,18.89,224,0.900,bicubic +resnetv2_50x1_bit.goog_in21k_ft_in1k,95.010,4.990,99.060,0.940,25.55,448,1.000,bilinear +vit_base_patch32_224.augreg_in21k_ft_in1k,95.010,4.990,99.030,0.970,88.22,224,0.900,bicubic +resnet50d.ra2_in1k,95.010,4.990,98.980,1.020,25.58,288,0.950,bicubic +tf_efficientnet_b3.aa_in1k,95.000,5.000,98.910,1.090,12.23,300,0.904,bicubic +tresnet_m.miil_in1k_448,94.990,5.010,98.980,1.020,31.39,448,0.875,bilinear +deit3_small_patch16_224.fb_in1k,94.990,5.010,98.460,1.540,22.06,224,0.900,bicubic +resnet50.d_in1k,94.980,5.020,98.840,1.160,25.56,288,1.000,bicubic +resnest50d_4s2x40d.in1k,94.970,5.030,99.080,0.920,30.42,224,0.875,bicubic +coat_mini.in1k,94.970,5.030,98.780,1.220,10.34,224,0.900,bicubic +rexnet_200.nav_in1k,94.940,5.060,99.010,0.990,16.37,224,0.875,bicubic vit_base_patch16_384.augreg_in1k,94.940,5.060,98.890,1.110,86.86,384,1.000,bicubic -gluon_seresnext101_64x4d,94.930,5.070,98.830,1.170,88.23,224,0.875,bicubic -gluon_seresnext101_32x4d,94.920,5.080,98.810,1.190,48.96,224,0.875,bicubic -gluon_senet154,94.920,5.080,98.760,1.240,115.09,224,0.875,bicubic -mobilevitv2_175,94.900,5.100,98.870,1.130,14.25,256,0.888,bicubic -tf_efficientnet_lite4.in1k,94.890,5.110,99.020,0.980,13.01,380,0.920,bilinear -resmlp_36_distilled_224,94.890,5.110,98.850,1.150,44.69,224,0.875,bicubic -ssl_resnext50_32x4d,94.870,5.130,98.880,1.120,25.03,224,0.875,bilinear -seresnet33ts,94.860,5.140,98.790,1.210,19.78,256,0.900,bicubic -convnext_tiny.fb_in22k_ft_in1k,94.860,5.140,98.530,1.470,28.59,288,1.000,bicubic -gcresnet50t,94.850,5.150,98.790,1.210,25.90,256,0.900,bicubic -cspresnext50,94.840,5.160,98.770,1.230,20.57,256,0.887,bilinear -crossvit_small_240,94.830,5.170,99.020,0.980,26.86,240,0.875,bicubic -resnest50d,94.830,5.170,98.880,1.120,27.48,224,0.875,bilinear -mobilevitv2_200,94.830,5.170,98.710,1.290,18.45,256,0.888,bicubic -ecaresnetlight,94.770,5.230,98.800,1.200,30.16,224,0.875,bicubic -sehalonet33ts,94.770,5.230,98.570,1.430,13.69,256,0.940,bicubic -lambda_resnet50ts,94.770,5.230,98.470,1.530,21.54,256,0.950,bicubic -resnest50d_1s4x24d,94.750,5.250,98.980,1.020,25.68,224,0.875,bicubic -gluon_resnet152_v1d,94.740,5.260,98.740,1.260,60.21,224,0.875,bicubic -convnext_pico.d1_in1k,94.740,5.260,98.700,1.300,9.05,288,0.950,bicubic -gluon_resnet101_v1s,94.720,5.280,98.820,1.180,44.67,224,0.875,bicubic -deit_small_distilled_patch16_224,94.710,5.290,99.030,0.970,22.44,224,0.900,bicubic -haloregnetz_b,94.700,5.300,98.660,1.340,11.68,224,0.940,bicubic -xcit_tiny_12_p8_224,94.680,5.320,98.830,1.170,6.71,224,1.000,bicubic -gluon_resnext101_64x4d,94.670,5.330,98.650,1.350,83.46,224,0.875,bicubic -cspdarknet53,94.660,5.340,98.800,1.200,27.64,256,0.887,bilinear -edgenext_small_rw,94.660,5.340,98.790,1.210,7.83,320,1.000,bicubic -resmlp_big_24_224,94.660,5.340,98.480,1.520,129.14,224,0.875,bicubic -darknet53,94.630,5.370,98.890,1.110,41.61,288,1.000,bicubic -ecaresnet50d,94.630,5.370,98.890,1.110,25.58,224,0.875,bicubic -maxvit_rmlp_pico_rw_256,94.630,5.370,98.820,1.180,7.52,256,0.950,bicubic +seresnext101_64x4d.gluon_in1k,94.930,5.070,98.830,1.170,88.23,224,0.875,bicubic +gcresnet33ts.ra2_in1k,94.920,5.080,98.810,1.190,19.88,288,1.000,bicubic +resnet50.c2_in1k,94.920,5.080,98.810,1.190,25.56,288,1.000,bicubic +senet154.gluon_in1k,94.920,5.080,98.760,1.240,115.09,224,0.875,bicubic +eva02_tiny_patch14_336.mim_in22k_ft_in1k,94.910,5.090,98.880,1.120,5.76,336,1.000,bicubic +mobilevitv2_175.cvnets_in1k,94.890,5.110,98.860,1.140,14.25,256,0.888,bicubic +resmlp_36_224.fb_distilled_in1k,94.890,5.110,98.860,1.140,44.69,224,0.875,bicubic +seresnext101_32x4d.gluon_in1k,94.890,5.110,98.820,1.180,48.96,224,0.875,bicubic +tf_efficientnet_lite4.in1k,94.880,5.120,99.020,0.980,13.01,380,0.920,bilinear +wide_resnet50_2.tv2_in1k,94.870,5.130,98.940,1.060,68.88,224,0.965,bilinear +ese_vovnet39b.ra_in1k,94.870,5.130,98.910,1.090,24.57,288,0.950,bicubic +resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k,94.860,5.140,98.870,1.130,25.03,224,0.875,bilinear +gcresnext50ts.ch_in1k,94.860,5.140,98.860,1.140,15.67,288,1.000,bicubic +resnet50.b1k_in1k,94.860,5.140,98.810,1.190,25.56,288,1.000,bicubic +crossvit_small_240.in1k,94.850,5.150,99.010,0.990,26.86,240,0.875,bicubic +resnest50d.in1k,94.850,5.150,98.880,1.120,27.48,224,0.875,bilinear +resnetv2_50.a1h_in1k,94.850,5.150,98.870,1.130,25.55,288,1.000,bicubic +mobilevitv2_200.cvnets_in1k,94.840,5.160,98.710,1.290,18.45,256,0.888,bicubic +convnext_tiny.fb_in22k_ft_in1k,94.840,5.160,98.530,1.470,28.59,288,1.000,bicubic +cspresnext50.ra_in1k,94.830,5.170,98.770,1.230,20.57,256,0.887,bilinear +res2net101d.in1k,94.820,5.180,98.770,1.230,45.23,224,0.875,bilinear +resnext50_32x4d.a1_in1k,94.820,5.180,98.600,1.400,25.03,288,1.000,bicubic +resnet50.a1h_in1k,94.770,5.230,98.690,1.310,25.56,224,1.000,bicubic +lambda_resnet50ts.a1h_in1k,94.770,5.230,98.470,1.530,21.54,256,0.950,bicubic +convnext_pico.d1_in1k,94.760,5.240,98.710,1.290,9.05,288,0.950,bicubic +sehalonet33ts.ra2_in1k,94.760,5.240,98.570,1.430,13.69,256,0.940,bicubic +resnet50.a1_in1k,94.740,5.260,98.710,1.290,25.56,288,1.000,bicubic +resnest50d_1s4x24d.in1k,94.730,5.270,98.980,1.020,25.68,224,0.875,bicubic +resnet50.c1_in1k,94.730,5.270,98.930,1.070,25.56,288,1.000,bicubic +resnet50.b2k_in1k,94.730,5.270,98.820,1.180,25.56,288,1.000,bicubic +resnet152d.gluon_in1k,94.730,5.270,98.750,1.250,60.21,224,0.875,bicubic +resnet152.a3_in1k,94.730,5.270,98.680,1.320,60.19,224,0.950,bicubic +resnet50d.a1_in1k,94.730,5.270,98.490,1.510,25.58,288,1.000,bicubic +resnet101s.gluon_in1k,94.720,5.280,98.820,1.180,44.67,224,0.875,bicubic +deit_small_distilled_patch16_224.fb_in1k,94.710,5.290,99.030,0.970,22.44,224,0.900,bicubic +resnext50_32x4d.ra_in1k,94.700,5.300,98.760,1.240,25.03,288,0.950,bicubic +xcit_tiny_12_p8_224.fb_in1k,94.690,5.310,98.830,1.170,6.71,224,1.000,bicubic +haloregnetz_b.ra3_in1k,94.690,5.310,98.660,1.340,11.68,224,0.940,bicubic +resmlp_big_24_224.fb_in1k,94.680,5.320,98.500,1.500,129.14,224,0.875,bicubic +edgenext_small_rw.sw_in1k,94.670,5.330,98.780,1.220,7.83,320,1.000,bicubic +resnext101_64x4d.gluon_in1k,94.670,5.330,98.660,1.340,83.46,224,0.875,bicubic +regnetx_032.tv2_in1k,94.660,5.340,98.850,1.150,15.30,224,0.965,bicubic +resnet50.tv2_in1k,94.660,5.340,98.790,1.210,25.56,224,0.965,bilinear +seresnet50.a2_in1k,94.660,5.340,98.780,1.220,28.09,288,1.000,bicubic +seresnet50.a1_in1k,94.660,5.340,98.720,1.280,28.09,288,1.000,bicubic +poolformerv2_s24.sail_in1k,94.650,5.350,98.840,1.160,21.34,224,1.000,bicubic +cspdarknet53.ra_in1k,94.650,5.350,98.800,1.200,27.64,256,0.887,bilinear +maxvit_rmlp_pico_rw_256.sw_in1k,94.630,5.370,98.810,1.190,7.52,256,0.950,bicubic efficientnet_b3_pruned.in1k,94.630,5.370,98.760,1.240,9.86,300,0.904,bicubic -gernet_m,94.620,5.380,98.860,1.140,21.14,224,0.875,bilinear -convnext_pico_ols.d1_in1k,94.620,5.380,98.770,1.230,9.06,288,1.000,bicubic -efficientnet_b2.ra_in1k,94.610,5.390,98.710,1.290,9.11,288,1.000,bicubic -pit_s_224,94.590,5.410,98.710,1.290,23.46,224,0.900,bicubic -sebotnet33ts_256,94.590,5.410,98.500,1.500,13.70,256,0.940,bicubic -repvgg_b3,94.570,5.430,98.780,1.220,123.09,224,0.875,bilinear -poolformer_s24,94.560,5.440,98.880,1.120,21.39,224,0.900,bicubic -nf_resnet50,94.560,5.440,98.790,1.210,25.56,288,0.940,bicubic -resnext50_32x4d,94.560,5.440,98.610,1.390,25.03,224,0.950,bicubic -seresnet50,94.550,5.450,98.750,1.250,28.09,224,0.875,bicubic -mobilevitv2_150,94.550,5.450,98.710,1.290,10.59,256,0.888,bicubic -regnety_320,94.540,5.460,98.850,1.150,145.05,224,0.875,bicubic -inception_resnet_v2,94.540,5.460,98.790,1.210,55.84,299,0.897,bicubic -xcit_tiny_24_p16_224_dist,94.530,5.470,98.780,1.220,12.12,224,1.000,bicubic -gluon_resnext101_32x4d,94.530,5.470,98.630,1.370,44.18,224,0.875,bicubic -repvgg_b3g4,94.520,5.480,98.970,1.030,83.83,224,0.875,bilinear -convmixer_768_32,94.500,5.500,98.850,1.150,21.11,224,0.960,bicubic -efficientformer_l1,94.490,5.510,98.830,1.170,12.29,224,0.950,bicubic -gcresnext50ts,94.490,5.510,98.670,1.330,15.67,256,0.900,bicubic -tf_efficientnet_b2.ap_in1k,94.490,5.510,98.620,1.380,9.11,260,0.890,bicubic -regnety_120,94.480,5.520,98.810,1.190,51.82,224,0.875,bicubic -rexnet_150,94.480,5.520,98.790,1.210,9.73,224,0.875,bicubic -darknetaa53,94.470,5.530,98.770,1.230,36.02,288,1.000,bilinear -gcresnet33ts,94.470,5.530,98.770,1.230,19.88,256,0.900,bicubic -resmlp_24_distilled_224,94.460,5.540,98.770,1.230,30.02,224,0.875,bicubic -regnetx_320,94.460,5.540,98.740,1.260,107.81,224,0.875,bicubic -ssl_resnet50,94.450,5.550,98.920,1.080,25.56,224,0.875,bilinear -resnetv2_50,94.440,5.560,98.740,1.260,25.55,224,0.950,bicubic -tf_efficientnetv2_b2.in1k,94.420,5.580,98.570,1.430,10.10,260,0.890,bicubic -tf_efficientnet_el.in1k,94.410,5.590,98.710,1.290,10.59,300,0.904,bicubic -gcvit_xxtiny,94.400,5.600,98.900,1.100,12.00,224,0.875,bicubic +resnet50.a2_in1k,94.630,5.370,98.660,1.340,25.56,288,1.000,bicubic +tresnet_m.miil_in1k,94.630,5.370,98.550,1.450,31.39,224,0.875,bilinear +eca_resnet33ts.ra2_in1k,94.620,5.380,98.910,1.090,19.68,288,1.000,bicubic +darknet53.c2ns_in1k,94.620,5.380,98.900,1.100,41.61,288,1.000,bicubic +gernet_m.idstcv_in1k,94.620,5.380,98.860,1.140,21.14,224,0.875,bilinear +resnext50_32x4d.tv2_in1k,94.620,5.380,98.780,1.220,25.03,224,0.965,bilinear +convnext_pico_ols.d1_in1k,94.620,5.380,98.760,1.240,9.06,288,1.000,bicubic +efficientnet_b2.ra_in1k,94.620,5.380,98.710,1.290,9.11,288,1.000,bicubic +sebotnet33ts_256.a1h_in1k,94.610,5.390,98.510,1.490,13.70,256,0.940,bicubic +inception_resnet_v2.tf_in1k,94.580,5.420,98.790,1.210,55.84,299,0.897,bicubic +resnet50d.a2_in1k,94.580,5.420,98.690,1.310,25.58,288,1.000,bicubic +resnext50_32x4d.a2_in1k,94.580,5.420,98.650,1.350,25.03,288,1.000,bicubic +pit_s_224.in1k,94.570,5.430,98.700,1.300,23.46,224,0.900,bicubic +poolformer_s24.sail_in1k,94.560,5.440,98.900,1.100,21.39,224,0.900,bicubic +repvgg_b3.rvgg_in1k,94.550,5.450,98.780,1.220,123.09,224,0.875,bilinear +mobilevitv2_150.cvnets_in1k,94.550,5.450,98.710,1.290,10.59,256,0.888,bicubic +resnext50d_32x4d.bt_in1k,94.550,5.450,98.690,1.310,25.05,288,0.950,bicubic +regnety_320.pycls_in1k,94.540,5.460,98.850,1.150,145.05,224,0.875,bicubic +tf_efficientnet_b3.in1k,94.540,5.460,98.800,1.200,12.23,300,0.904,bicubic +nf_resnet50.ra2_in1k,94.540,5.460,98.790,1.210,25.56,288,0.940,bicubic +xcit_tiny_24_p16_224.fb_dist_in1k,94.540,5.460,98.780,1.220,12.12,224,1.000,bicubic +resnext101_32x4d.gluon_in1k,94.540,5.460,98.630,1.370,44.18,224,0.875,bicubic +regnety_016.tv2_in1k,94.520,5.480,98.820,1.180,11.20,224,0.965,bicubic +resnet50.ram_in1k,94.520,5.480,98.650,1.350,25.56,288,0.950,bicubic +repvgg_b3g4.rvgg_in1k,94.510,5.490,98.970,1.030,83.83,224,0.875,bilinear +tf_efficientnet_b2.ap_in1k,94.510,5.490,98.620,1.380,9.11,260,0.890,bicubic +convmixer_768_32.in1k,94.500,5.500,98.860,1.140,21.11,224,0.960,bicubic +efficientformer_l1.snap_dist_in1k,94.480,5.520,98.830,1.170,12.29,224,0.950,bicubic +rexnet_150.nav_in1k,94.480,5.520,98.800,1.200,9.73,224,0.875,bicubic +regnety_120.pycls_in1k,94.470,5.530,98.820,1.180,51.82,224,0.875,bicubic +darknetaa53.c2ns_in1k,94.470,5.530,98.760,1.240,36.02,288,1.000,bilinear +resnetblur50.bt_in1k,94.460,5.540,98.840,1.160,25.56,288,0.950,bicubic +resnet50.fb_ssl_yfcc100m_ft_in1k,94.450,5.550,98.920,1.080,25.56,224,0.875,bilinear +resmlp_24_224.fb_distilled_in1k,94.450,5.550,98.770,1.230,30.02,224,0.875,bicubic +regnetx_320.pycls_in1k,94.450,5.550,98.740,1.260,107.81,224,0.875,bicubic +gcvit_xxtiny.in1k,94.420,5.580,98.890,1.110,12.00,224,0.875,bicubic +tf_efficientnetv2_b2.in1k,94.420,5.580,98.580,1.420,10.10,260,0.890,bicubic efficientnet_el_pruned.in1k,94.400,5.600,98.740,1.260,10.59,300,0.904,bicubic -deit_small_patch16_224,94.400,5.600,98.690,1.310,22.05,224,0.900,bicubic -inception_v4,94.380,5.620,98.580,1.420,42.68,299,0.875,bicubic -legacy_seresnext101_32x4d,94.370,5.630,98.650,1.350,48.96,224,0.875,bilinear -tf_efficientnet_b2.aa_in1k,94.360,5.640,98.610,1.390,9.11,260,0.890,bicubic -resnet50_gn,94.350,5.650,98.710,1.290,25.56,224,0.940,bicubic -gluon_seresnext50_32x4d,94.340,5.660,98.610,1.390,27.56,224,0.875,bicubic -resnet50,94.320,5.680,98.440,1.560,25.56,224,0.950,bicubic -ecaresnet26t,94.310,5.690,98.720,1.280,16.01,320,0.950,bicubic -resnetrs50,94.310,5.690,98.640,1.360,35.69,224,0.910,bicubic -dpn107,94.310,5.690,98.480,1.520,86.92,224,0.875,bicubic -xception71,94.280,5.720,98.640,1.360,42.34,299,0.903,bicubic -cait_xxs36_224,94.260,5.740,98.720,1.280,17.30,224,1.000,bicubic -resnet50d,94.260,5.740,98.720,1.280,25.58,224,0.875,bicubic -gluon_xception65,94.260,5.740,98.570,1.430,39.92,299,0.903,bicubic -skresnext50_32x4d,94.260,5.740,98.460,1.540,27.48,224,0.875,bicubic -regnetx_120,94.240,5.760,98.650,1.350,46.11,224,0.875,bicubic -dpn92,94.230,5.770,98.730,1.270,37.67,224,0.875,bicubic -ecaresnet50d_pruned,94.220,5.780,98.730,1.270,19.94,224,0.875,bicubic -gluon_resnet101_v1d,94.220,5.780,98.550,1.450,44.57,224,0.875,bicubic +tf_efficientnet_el.in1k,94.400,5.600,98.710,1.290,10.59,300,0.904,bicubic +tf_efficientnet_b2.aa_in1k,94.380,5.620,98.610,1.390,9.11,260,0.890,bicubic +deit_small_patch16_224.fb_in1k,94.370,5.630,98.700,1.300,22.05,224,0.900,bicubic +inception_v4.tf_in1k,94.370,5.630,98.580,1.420,42.68,299,0.875,bicubic +regnety_160.pycls_in1k,94.360,5.640,98.860,1.140,83.59,224,0.875,bicubic +legacy_seresnext101_32x4d.in1k,94.360,5.640,98.630,1.370,48.96,224,0.875,bilinear +ecaresnet50t.a3_in1k,94.350,5.650,98.670,1.330,25.57,224,0.950,bicubic +dpn107.mx_in1k,94.340,5.660,98.500,1.500,86.92,224,0.875,bicubic +seresnext50_32x4d.gluon_in1k,94.330,5.670,98.610,1.390,27.56,224,0.875,bicubic +ecaresnet26t.ra2_in1k,94.320,5.680,98.720,1.280,16.01,320,0.950,bicubic +resnetrs50.tf_in1k,94.320,5.680,98.640,1.360,35.69,224,0.910,bicubic +res2net50d.in1k,94.320,5.680,98.530,1.470,25.72,224,0.875,bilinear +resnet50.bt_in1k,94.310,5.690,98.640,1.360,25.56,288,0.950,bicubic +xception71.tf_in1k,94.300,5.700,98.650,1.350,42.34,299,0.903,bicubic +dpn92.mx_in1k,94.290,5.710,98.750,1.250,37.67,224,0.875,bicubic +cait_xxs36_224.fb_dist_in1k,94.270,5.730,98.710,1.290,17.30,224,1.000,bicubic +skresnext50_32x4d.ra_in1k,94.240,5.760,98.460,1.540,27.48,224,0.875,bicubic +regnetx_120.pycls_in1k,94.230,5.770,98.670,1.330,46.11,224,0.875,bicubic +resnet101d.gluon_in1k,94.230,5.770,98.540,1.460,44.57,224,0.875,bicubic +resnet50.ra_in1k,94.210,5.790,98.620,1.380,25.56,288,0.950,bicubic tf_efficientnet_lite3.in1k,94.200,5.800,98.640,1.360,8.20,300,0.904,bilinear -eca_resnet33ts,94.190,5.810,98.760,1.240,19.68,256,0.900,bicubic -resmlp_36_224,94.190,5.810,98.660,1.340,44.69,224,0.875,bicubic -mixnet_xl.ra_in1k,94.190,5.810,98.340,1.660,11.90,224,0.875,bicubic -resnext50d_32x4d,94.180,5.820,98.570,1.430,25.05,224,0.875,bicubic -levit_192,94.170,5.830,98.540,1.460,10.95,224,0.900,bicubic -gluon_resnet152_v1c,94.160,5.840,98.640,1.360,60.21,224,0.875,bicubic -ens_adv_inception_resnet_v2,94.160,5.840,98.600,1.400,55.84,299,0.897,bicubic -gmlp_s16_224,94.160,5.840,98.500,1.500,19.42,224,0.875,bicubic -vit_base_patch16_224.sam,94.140,5.860,98.670,1.330,86.57,224,0.900,bicubic -efficientnet_b2_pruned.in1k,94.140,5.860,98.530,1.470,8.31,260,0.890,bicubic -dpn98,94.130,5.870,98.570,1.430,61.57,224,0.875,bicubic -regnetx_160,94.120,5.880,98.740,1.260,54.28,224,0.875,bicubic -nf_regnet_b1,94.120,5.880,98.630,1.370,10.22,288,0.900,bicubic -ese_vovnet39b,94.090,5.910,98.660,1.340,24.57,224,0.875,bicubic -xcit_tiny_24_p16_224,94.080,5.920,98.520,1.480,12.12,224,1.000,bicubic -gluon_resnet152_v1b,94.080,5.920,98.450,1.550,60.19,224,0.875,bicubic -coat_lite_mini,94.060,5.940,98.560,1.440,11.01,224,0.900,bicubic -eca_halonext26ts,94.040,5.960,98.490,1.510,10.76,256,0.940,bicubic -resmlp_24_224,94.020,5.980,98.330,1.670,30.02,224,0.875,bicubic -dpn131,94.010,5.990,98.720,1.280,79.25,224,0.875,bicubic -hrnet_w64,94.010,5.990,98.610,1.390,128.06,224,0.875,bilinear -halonet26t,93.980,6.020,98.500,1.500,12.48,256,0.950,bicubic -fbnetv3_b.ra2_in1k,93.960,6.040,98.630,1.370,8.60,256,0.950,bilinear -resnetblur50,93.960,6.040,98.590,1.410,25.56,224,0.875,bicubic -mobilevitv2_125,93.960,6.040,98.560,1.440,7.48,256,0.888,bicubic -dla102x2,93.950,6.050,98.490,1.510,41.28,224,0.875,bilinear -tf_efficientnetv2_b1.in1k,93.940,6.060,98.620,1.380,8.14,240,0.882,bicubic -fbnetv3_d.ra2_in1k,93.930,6.070,98.740,1.260,10.31,256,0.950,bilinear -convnext_femto_ols.d1_in1k,93.920,6.080,98.610,1.390,5.23,288,0.950,bicubic -hrnet_w48,93.920,6.080,98.610,1.390,77.47,224,0.875,bilinear -convnext_femto.d1_in1k,93.920,6.080,98.520,1.480,5.22,288,0.950,bicubic -rexnet_130,93.900,6.100,98.400,1.600,7.56,224,0.875,bicubic -tf_efficientnet_cc_b1_8e.in1k,93.900,6.100,98.260,1.740,39.72,240,0.882,bicubic -regnetx_064,93.890,6.110,98.630,1.370,26.21,224,0.875,bicubic +efficientformerv2_s1.snap_dist_in1k,94.200,5.800,98.630,1.370,6.19,224,0.950,bicubic +resmlp_36_224.fb_in1k,94.190,5.810,98.660,1.340,44.69,224,0.875,bicubic +convnextv2_femto.fcmae_ft_in1k,94.190,5.810,98.610,1.390,5.23,288,0.950,bicubic +mixnet_xl.ra_in1k,94.180,5.820,98.330,1.670,11.90,224,0.875,bicubic +regnety_080.pycls_in1k,94.170,5.830,98.680,1.320,39.18,224,0.875,bicubic +inception_resnet_v2.tf_ens_adv_in1k,94.170,5.830,98.620,1.380,55.84,299,0.897,bicubic +levit_192.fb_dist_in1k,94.170,5.830,98.540,1.460,10.95,224,0.900,bicubic +levit_conv_192.fb_dist_in1k,94.170,5.830,98.540,1.460,10.95,224,0.900,bicubic +resnet152c.gluon_in1k,94.160,5.840,98.640,1.360,60.21,224,0.875,bicubic +dpn98.mx_in1k,94.160,5.840,98.590,1.410,61.57,224,0.875,bicubic +vit_base_patch16_224.sam_in1k,94.150,5.850,98.670,1.330,86.57,224,0.900,bicubic +gmlp_s16_224.ra3_in1k,94.150,5.850,98.500,1.500,19.42,224,0.875,bicubic +regnetx_160.pycls_in1k,94.140,5.860,98.750,1.250,54.28,224,0.875,bicubic +regnety_064.pycls_in1k,94.140,5.860,98.710,1.290,30.58,224,0.875,bicubic +efficientnet_b2_pruned.in1k,94.140,5.860,98.520,1.480,8.31,260,0.890,bicubic +regnetx_016.tv2_in1k,94.130,5.870,98.750,1.250,9.19,224,0.965,bicubic +nf_regnet_b1.ra2_in1k,94.110,5.890,98.620,1.380,10.22,288,0.900,bicubic +tf_efficientnet_b2.in1k,94.110,5.890,98.450,1.550,9.11,260,0.890,bicubic +resnet33ts.ra2_in1k,94.100,5.900,98.650,1.350,19.68,288,1.000,bicubic +xcit_tiny_24_p16_224.fb_in1k,94.080,5.920,98.540,1.460,12.12,224,1.000,bicubic +resnet152.gluon_in1k,94.070,5.930,98.460,1.540,60.19,224,0.875,bicubic +dpn131.mx_in1k,94.050,5.950,98.710,1.290,79.25,224,0.875,bicubic +resnet101.a3_in1k,94.040,5.960,98.660,1.340,44.55,224,0.950,bicubic +coat_lite_mini.in1k,94.040,5.960,98.550,1.450,11.01,224,0.900,bicubic +eca_halonext26ts.c1_in1k,94.040,5.960,98.490,1.510,10.76,256,0.940,bicubic +resmlp_24_224.fb_in1k,94.030,5.970,98.330,1.670,30.02,224,0.875,bicubic +hrnet_w64.ms_in1k,94.020,5.980,98.590,1.410,128.06,224,0.875,bilinear +halonet26t.a1h_in1k,94.000,6.000,98.500,1.500,12.48,256,0.950,bicubic +dpn68b.ra_in1k,94.000,6.000,98.340,1.660,12.61,288,1.000,bicubic +fbnetv3_b.ra2_in1k,93.970,6.030,98.630,1.370,8.60,256,0.950,bilinear +resnet50.am_in1k,93.970,6.030,98.520,1.480,25.56,224,0.875,bicubic +dla102x2.in1k,93.970,6.030,98.490,1.510,41.28,224,0.875,bilinear +mobilevitv2_125.cvnets_in1k,93.960,6.040,98.550,1.450,7.48,256,0.888,bicubic +tf_efficientnetv2_b1.in1k,93.950,6.050,98.620,1.380,8.14,240,0.882,bicubic +convnext_femto.d1_in1k,93.930,6.070,98.520,1.480,5.22,288,0.950,bicubic +fbnetv3_d.ra2_in1k,93.920,6.080,98.740,1.260,10.31,256,0.950,bilinear +convnext_femto_ols.d1_in1k,93.920,6.080,98.620,1.380,5.23,288,0.950,bicubic +hrnet_w48.ms_in1k,93.920,6.080,98.610,1.390,77.47,224,0.875,bilinear +tf_efficientnet_cc_b1_8e.in1k,93.920,6.080,98.260,1.740,39.72,240,0.882,bicubic +regnetx_064.pycls_in1k,93.900,6.100,98.640,1.360,26.21,224,0.875,bicubic +rexnet_130.nav_in1k,93.900,6.100,98.400,1.600,7.56,224,0.875,bicubic vit_small_patch16_224.augreg_in1k,93.890,6.110,98.440,1.560,22.05,224,0.900,bicubic -regnetx_080,93.870,6.130,98.520,1.480,39.57,224,0.875,bicubic -repvgg_b2g4,93.860,6.140,98.590,1.410,61.76,224,0.875,bilinear -efficientnet_em.ra2_in1k,93.840,6.160,98.810,1.190,6.90,240,0.882,bicubic -lambda_resnet26t,93.840,6.160,98.640,1.360,10.96,256,0.940,bicubic -resnext101_32x8d,93.830,6.170,98.580,1.420,88.79,224,0.875,bilinear -pvt_v2_b1,93.820,6.180,98.660,1.340,14.01,224,0.900,bicubic -pit_xs_distilled_224,93.810,6.190,98.670,1.330,11.00,224,0.900,bicubic -gluon_resnext50_32x4d,93.810,6.190,98.410,1.590,25.03,224,0.875,bicubic -eca_botnext26ts_256,93.790,6.210,98.500,1.500,10.59,256,0.950,bicubic -gluon_resnet50_v1d,93.770,6.230,98.390,1.610,25.58,224,0.875,bicubic -gluon_resnet101_v1b,93.750,6.250,98.380,1.620,44.55,224,0.875,bicubic -res2net101_26w_4s,93.750,6.250,98.310,1.690,45.21,224,0.875,bilinear -cspresnet50,93.740,6.260,98.640,1.360,21.62,256,0.887,bilinear -legacy_seresnext50_32x4d,93.730,6.270,98.580,1.420,27.56,224,0.875,bilinear -wide_resnet101_2,93.720,6.280,98.540,1.460,126.89,224,0.875,bilinear -vit_relpos_base_patch32_plus_rpn_256.sw_in1k,93.720,6.280,98.070,1.930,119.42,256,0.900,bicubic -lambda_resnet26rpt_256,93.710,6.290,98.510,1.490,10.99,256,0.940,bicubic -dpn68b,93.690,6.310,98.510,1.490,12.61,224,0.875,bicubic -tf_efficientnet_b1.ap_in1k,93.690,6.310,98.360,1.640,7.79,240,0.882,bicubic -gluon_resnet101_v1c,93.670,6.330,98.420,1.580,44.57,224,0.875,bicubic -vit_tiny_patch16_384.augreg_in21k_ft_in1k,93.650,6.350,98.600,1.400,5.79,384,1.000,bicubic +regnety_040.pycls_in1k,93.880,6.120,98.660,1.340,20.65,224,0.875,bicubic +repvgg_b2g4.rvgg_in1k,93.880,6.120,98.590,1.410,61.76,224,0.875,bilinear +regnetx_080.pycls_in1k,93.880,6.120,98.520,1.480,39.57,224,0.875,bicubic +efficientnet_em.ra2_in1k,93.840,6.160,98.820,1.180,6.90,240,0.882,bicubic +resnet32ts.ra2_in1k,93.830,6.170,98.650,1.350,17.96,288,1.000,bicubic +lambda_resnet26t.c1_in1k,93.830,6.170,98.640,1.360,10.96,256,0.940,bicubic +resnext101_32x8d.tv_in1k,93.820,6.180,98.580,1.420,88.79,224,0.875,bilinear +resnext50_32x4d.gluon_in1k,93.810,6.190,98.420,1.580,25.03,224,0.875,bicubic +pvt_v2_b1.in1k,93.800,6.200,98.660,1.340,14.01,224,0.900,bicubic +xception65.tf_in1k,93.790,6.210,98.370,1.630,39.92,299,0.903,bicubic +eca_botnext26ts_256.c1_in1k,93.780,6.220,98.500,1.500,10.59,256,0.950,bicubic +pit_xs_distilled_224.in1k,93.770,6.230,98.620,1.380,11.00,224,0.900,bicubic +cspresnet50.ra_in1k,93.750,6.250,98.640,1.360,21.62,256,0.887,bilinear +legacy_seresnext50_32x4d.in1k,93.750,6.250,98.580,1.420,27.56,224,0.875,bilinear +resnet50d.gluon_in1k,93.750,6.250,98.390,1.610,25.58,224,0.875,bicubic +resnet101.gluon_in1k,93.750,6.250,98.380,1.620,44.55,224,0.875,bicubic +wide_resnet101_2.tv_in1k,93.740,6.260,98.540,1.460,126.89,224,0.875,bilinear +vit_relpos_base_patch32_plus_rpn_256.sw_in1k,93.740,6.260,98.070,1.930,119.42,256,0.900,bicubic +res2net101_26w_4s.in1k,93.720,6.280,98.320,1.680,45.21,224,0.875,bilinear +lambda_resnet26rpt_256.c1_in1k,93.710,6.290,98.520,1.480,10.99,256,0.940,bicubic +regnety_008_tv.tv2_in1k,93.690,6.310,98.490,1.510,6.43,224,0.965,bicubic +tf_efficientnet_b1.ap_in1k,93.680,6.320,98.360,1.640,7.79,240,0.882,bicubic +resnet101c.gluon_in1k,93.670,6.330,98.420,1.580,44.57,224,0.875,bicubic +resnext50_32x4d.a3_in1k,93.660,6.340,98.520,1.480,25.03,224,0.950,bicubic +vit_tiny_patch16_384.augreg_in21k_ft_in1k,93.650,6.350,98.590,1.410,5.79,384,1.000,bicubic +resnet34d.ra2_in1k,93.640,6.360,98.540,1.460,21.82,288,0.950,bicubic +resnet50s.gluon_in1k,93.640,6.360,98.460,1.540,25.68,224,0.875,bicubic vit_base_patch32_384.augreg_in1k,93.640,6.360,98.400,1.600,88.30,384,1.000,bicubic -tf_efficientnet_b0.ns_jft_in1k,93.630,6.370,98.640,1.360,5.29,224,0.875,bicubic vit_base_patch16_224.augreg_in1k,93.630,6.370,98.240,1.760,86.57,224,0.900,bicubic -gluon_resnet50_v1s,93.620,6.380,98.460,1.540,25.68,224,0.875,bicubic -resnet33ts,93.600,6.400,98.540,1.460,19.68,256,0.900,bicubic -cait_xxs24_224,93.600,6.400,98.440,1.560,11.96,224,1.000,bicubic -coat_tiny,93.590,6.410,98.430,1.570,5.50,224,0.900,bicubic -regnetx_040,93.560,6.440,98.540,1.460,22.12,224,0.875,bicubic -hrnet_w44,93.550,6.450,98.700,1.300,67.06,224,0.875,bilinear -res2net50_26w_8s,93.540,6.460,98.260,1.740,48.40,224,0.875,bilinear -hrnet_w32,93.530,6.470,98.450,1.550,41.23,224,0.875,bilinear -dla102x,93.520,6.480,98.510,1.490,26.31,224,0.875,bilinear -botnet26t_256,93.520,6.480,98.300,1.700,12.49,256,0.950,bicubic -repvgg_b2,93.500,6.500,98.730,1.270,89.02,224,0.875,bilinear -xcit_nano_12_p8_384_dist,93.500,6.500,98.530,1.470,3.05,384,1.000,bicubic -tf_efficientnet_b1.aa_in1k,93.500,6.500,98.360,1.640,7.79,240,0.882,bicubic -hrnet_w40,93.490,6.510,98.580,1.420,57.56,224,0.875,bilinear -gluon_inception_v3,93.460,6.540,98.570,1.430,23.83,299,0.875,bicubic -xception,93.460,6.540,98.530,1.470,22.86,299,0.897,bicubic -resnet32ts,93.460,6.540,98.490,1.510,17.96,256,0.900,bicubic -mixnet_l.ft_in1k,93.450,6.550,98.220,1.780,7.33,224,0.875,bicubic -xception41,93.430,6.570,98.430,1.570,26.97,299,0.903,bicubic -res2net50_26w_6s,93.410,6.590,98.280,1.720,37.05,224,0.875,bilinear -legacy_seresnet152,93.400,6.600,98.350,1.650,66.82,224,0.875,bilinear -xcit_tiny_12_p16_224_dist,93.390,6.610,98.500,1.500,6.72,224,1.000,bicubic -cs3darknet_m,93.350,6.650,98.600,1.400,9.31,288,0.950,bicubic -dla169,93.340,6.660,98.600,1.400,53.39,224,0.875,bilinear -levit_128,93.340,6.660,98.380,1.620,9.21,224,0.900,bicubic -resnest26d,93.330,6.670,98.630,1.370,17.07,224,0.875,bilinear -repvgg_b1,93.330,6.670,98.510,1.490,57.42,224,0.875,bilinear -bat_resnext26ts,93.330,6.670,98.350,1.650,10.73,256,0.900,bicubic -tf_inception_v3,93.320,6.680,98.030,1.970,23.83,299,0.875,bicubic -tf_mixnet_l.in1k,93.310,6.690,98.030,1.970,7.33,224,0.875,bicubic -tv_resnet152,93.300,6.700,98.390,1.610,60.19,224,0.875,bilinear -selecsls60b,93.300,6.700,98.280,1.720,32.77,224,0.875,bicubic -legacy_seresnet101,93.280,6.720,98.510,1.490,49.33,224,0.875,bilinear -mobilevitv2_100,93.270,6.730,98.280,1.720,4.90,256,0.888,bicubic +tf_efficientnet_b0.ns_jft_in1k,93.620,6.380,98.640,1.360,5.29,224,0.875,bicubic +cait_xxs24_224.fb_dist_in1k,93.610,6.390,98.460,1.540,11.96,224,1.000,bicubic +coat_tiny.in1k,93.580,6.420,98.420,1.580,5.50,224,0.900,bicubic +regnetx_040.pycls_in1k,93.560,6.440,98.530,1.470,22.12,224,0.875,bicubic +visformer_tiny.in1k,93.560,6.440,98.490,1.510,10.32,224,0.900,bicubic +seresnext26t_32x4d.bt_in1k,93.560,6.440,98.390,1.610,16.81,288,0.950,bicubic +hrnet_w44.ms_in1k,93.550,6.450,98.700,1.300,67.06,224,0.875,bilinear +hrnet_w18.ms_aug_in1k,93.550,6.450,98.600,1.400,21.30,224,0.950,bilinear +hrnet_w32.ms_in1k,93.530,6.470,98.460,1.540,41.23,224,0.875,bilinear +xcit_nano_12_p8_384.fb_dist_in1k,93.520,6.480,98.530,1.470,3.05,384,1.000,bicubic +botnet26t_256.c1_in1k,93.510,6.490,98.300,1.700,12.49,256,0.950,bicubic +repvgg_b2.rvgg_in1k,93.500,6.500,98.730,1.270,89.02,224,0.875,bilinear +hrnet_w40.ms_in1k,93.500,6.500,98.570,1.430,57.56,224,0.875,bilinear +dla102x.in1k,93.500,6.500,98.500,1.500,26.31,224,0.875,bilinear +tf_efficientnet_b1.aa_in1k,93.490,6.510,98.360,1.640,7.79,240,0.882,bicubic +inception_v3.gluon_in1k,93.470,6.530,98.570,1.430,23.83,299,0.875,bicubic +resnet50d.a3_in1k,93.470,6.530,98.450,1.550,25.58,224,0.950,bicubic +legacy_xception.tf_in1k,93.460,6.540,98.530,1.470,22.86,299,0.897,bicubic +seresnext26d_32x4d.bt_in1k,93.440,6.560,98.330,1.670,16.81,288,0.950,bicubic +mixnet_l.ft_in1k,93.430,6.570,98.220,1.780,7.33,224,0.875,bicubic +xception41.tf_in1k,93.420,6.580,98.430,1.570,26.97,299,0.903,bicubic +regnety_032.pycls_in1k,93.410,6.590,98.640,1.360,19.44,224,0.875,bicubic +xcit_tiny_12_p16_224.fb_dist_in1k,93.410,6.590,98.510,1.490,6.72,224,1.000,bicubic +res2net50_26w_6s.in1k,93.400,6.600,98.280,1.720,37.05,224,0.875,bilinear +res2net50_26w_8s.in1k,93.390,6.610,98.170,1.830,48.40,224,0.875,bilinear +legacy_seresnet152.in1k,93.370,6.630,98.340,1.660,66.82,224,0.875,bilinear +dla169.in1k,93.360,6.640,98.610,1.390,53.39,224,0.875,bilinear +levit_conv_128.fb_dist_in1k,93.350,6.650,98.370,1.630,9.21,224,0.900,bicubic +cs3darknet_m.c2ns_in1k,93.340,6.660,98.600,1.400,9.31,288,0.950,bicubic +levit_128.fb_dist_in1k,93.340,6.660,98.370,1.630,9.21,224,0.900,bicubic +repvgg_b1.rvgg_in1k,93.330,6.670,98.520,1.480,57.42,224,0.875,bilinear +resnest26d.gluon_in1k,93.320,6.680,98.620,1.380,17.07,224,0.875,bilinear +resnet152.tv_in1k,93.320,6.680,98.380,1.620,60.19,224,0.875,bilinear +bat_resnext26ts.ch_in1k,93.320,6.680,98.360,1.640,10.73,256,0.900,bicubic +inception_v3.tf_in1k,93.320,6.680,98.040,1.960,23.83,299,0.875,bicubic +tf_mixnet_l.in1k,93.320,6.680,98.030,1.970,7.33,224,0.875,bicubic +legacy_seresnet101.in1k,93.310,6.690,98.520,1.480,49.33,224,0.875,bilinear +SelecSls60b.in1k,93.310,6.690,98.290,1.710,32.77,224,0.875,bicubic +mobilevitv2_100.cvnets_in1k,93.290,6.710,98.280,1.720,4.90,256,0.888,bicubic efficientnet_b1.ft_in1k,93.250,6.750,98.290,1.710,7.79,256,1.000,bicubic -coat_lite_tiny,93.240,6.760,98.260,1.740,5.72,224,0.900,bicubic -hrnet_w30,93.200,6.800,98.410,1.590,37.71,224,0.875,bilinear -mobilevit_s,93.180,6.820,98.430,1.570,5.58,256,0.900,bicubic -dla60_res2net,93.180,6.820,98.420,1.580,20.85,224,0.875,bilinear -dla60_res2next,93.180,6.820,98.410,1.590,17.03,224,0.875,bilinear -efficientnet_es.ra_in1k,93.140,6.860,98.420,1.580,5.44,224,0.875,bicubic -dla60x,93.120,6.880,98.510,1.490,17.35,224,0.875,bilinear -regnetx_032,93.120,6.880,98.390,1.610,15.30,224,0.875,bicubic +coat_lite_tiny.in1k,93.240,6.760,98.260,1.740,5.72,224,0.900,bicubic +resnet26t.ra2_in1k,93.200,6.800,98.490,1.510,16.01,320,1.000,bicubic +hrnet_w30.ms_in1k,93.200,6.800,98.410,1.590,37.71,224,0.875,bilinear +dla60_res2next.in1k,93.190,6.810,98.400,1.600,17.03,224,0.875,bilinear +mobilevit_s.cvnets_in1k,93.180,6.820,98.440,1.560,5.58,256,0.900,bicubic +dla60_res2net.in1k,93.180,6.820,98.430,1.570,20.85,224,0.875,bilinear +efficientnet_es.ra_in1k,93.160,6.840,98.410,1.590,5.44,224,0.875,bicubic +wide_resnet50_2.tv_in1k,93.160,6.840,98.370,1.630,68.88,224,0.875,bilinear +gcresnext26ts.ch_in1k,93.160,6.840,98.320,1.680,10.48,288,1.000,bicubic +ese_vovnet19b_dw.ra_in1k,93.150,6.850,98.250,1.750,6.54,288,0.950,bicubic +regnetx_032.pycls_in1k,93.110,6.890,98.390,1.610,15.30,224,0.875,bicubic tf_efficientnetv2_b0.in1k,93.110,6.890,98.390,1.610,7.14,224,0.875,bicubic -pit_xs_224,93.110,6.890,98.310,1.690,10.62,224,0.900,bicubic -convnext_atto_ols.a2_in1k,93.080,6.920,98.470,1.530,3.70,288,0.950,bicubic -dla102,93.060,6.940,98.540,1.460,33.27,224,0.875,bilinear -gluon_resnet50_v1c,93.030,6.970,98.390,1.610,25.58,224,0.875,bicubic -regnety_016,93.030,6.970,98.360,1.640,11.20,224,0.875,bicubic -selecsls60,93.030,6.970,98.300,1.700,30.67,224,0.875,bicubic -rexnet_100,93.030,6.970,98.190,1.810,4.80,224,0.875,bicubic -repvgg_b1g4,92.980,7.020,98.430,1.570,39.97,224,0.875,bilinear -legacy_seresnet50,92.960,7.040,98.190,1.810,28.09,224,0.875,bilinear -cs3darknet_focus_m,92.950,7.050,98.390,1.610,9.30,288,0.950,bicubic -hardcorenas_f,92.950,7.050,98.160,1.840,8.20,224,0.875,bilinear -tf_efficientnet_em.in1k,92.930,7.070,98.190,1.810,6.90,240,0.882,bicubic -crossvit_9_dagger_240,92.900,7.100,98.240,1.760,8.78,240,0.875,bicubic -adv_inception_v3,92.880,7.120,98.140,1.860,23.83,299,0.875,bicubic -res2next50,92.840,7.160,98.180,1.820,24.67,224,0.875,bilinear -tf_efficientnet_cc_b0_8e.in1k,92.830,7.170,98.180,1.820,24.01,224,0.875,bicubic -resmlp_12_distilled_224,92.830,7.170,98.140,1.860,15.35,224,0.875,bicubic -gmixer_24_224,92.830,7.170,97.880,2.120,24.72,224,0.875,bicubic -seresnext26t_32x4d,92.820,7.180,98.370,1.630,16.81,224,0.875,bicubic -tv_resnet101,92.810,7.190,98.250,1.750,44.55,224,0.875,bilinear -convnext_atto.d2_in1k,92.790,7.210,98.060,1.940,3.70,288,0.950,bicubic -gcresnext26ts,92.770,7.230,98.260,1.740,10.48,256,0.900,bicubic -efficientnet_b1_pruned.in1k,92.770,7.230,98.040,1.960,6.33,240,0.882,bicubic -densenet201,92.750,7.250,98.230,1.770,20.01,224,0.875,bicubic -resnet26t,92.750,7.250,98.210,1.790,16.01,256,0.940,bicubic -tv_resnext50_32x4d,92.740,7.260,98.270,1.730,25.03,224,0.875,bilinear -res2net50_14w_8s,92.740,7.260,98.180,1.820,25.06,224,0.875,bilinear -inception_v3,92.720,7.280,97.970,2.030,23.83,299,0.875,bicubic -seresnext26d_32x4d,92.700,7.300,98.150,1.850,16.81,224,0.875,bicubic -seresnext26ts,92.690,7.310,98.290,1.710,10.39,256,0.900,bicubic +resnet34.a1_in1k,93.100,6.900,98.330,1.670,21.80,288,1.000,bicubic +pit_xs_224.in1k,93.100,6.900,98.320,1.680,10.62,224,0.900,bicubic +convnext_atto_ols.a2_in1k,93.090,6.910,98.470,1.530,3.70,288,0.950,bicubic +tf_efficientnet_b1.in1k,93.090,6.910,98.300,1.700,7.79,240,0.882,bicubic +dla60x.in1k,93.080,6.920,98.500,1.500,17.35,224,0.875,bilinear +dla102.in1k,93.060,6.940,98.550,1.450,33.27,224,0.875,bilinear +eca_resnext26ts.ch_in1k,93.060,6.940,98.400,1.600,10.30,288,1.000,bicubic +regnety_016.pycls_in1k,93.040,6.960,98.370,1.630,11.20,224,0.875,bicubic +resnet50c.gluon_in1k,93.030,6.970,98.400,1.600,25.58,224,0.875,bicubic +SelecSls60.in1k,93.020,6.980,98.300,1.700,30.67,224,0.875,bicubic +rexnet_100.nav_in1k,93.020,6.980,98.190,1.810,4.80,224,0.875,bicubic +repvgg_b1g4.rvgg_in1k,93.000,7.000,98.430,1.570,39.97,224,0.875,bilinear +cs3darknet_focus_m.c2ns_in1k,92.970,7.030,98.390,1.610,9.30,288,0.950,bicubic +hardcorenas_f.miil_green_in1k,92.970,7.030,98.160,1.840,8.20,224,0.875,bilinear +convnextv2_atto.fcmae_ft_in1k,92.970,7.030,98.060,1.940,3.71,288,0.950,bicubic +seresnext26ts.ch_in1k,92.960,7.040,98.410,1.590,10.39,288,1.000,bicubic +poolformerv2_s12.sail_in1k,92.960,7.040,98.360,1.640,11.89,224,1.000,bicubic +legacy_seresnet50.in1k,92.960,7.040,98.180,1.820,28.09,224,0.875,bilinear +tf_efficientnet_em.in1k,92.920,7.080,98.210,1.790,6.90,240,0.882,bicubic +crossvit_9_dagger_240.in1k,92.900,7.100,98.240,1.760,8.78,240,0.875,bicubic +inception_v3.tf_adv_in1k,92.900,7.100,98.140,1.860,23.83,299,0.875,bicubic +res2next50.in1k,92.840,7.160,98.180,1.820,24.67,224,0.875,bilinear +tf_efficientnet_cc_b0_8e.in1k,92.840,7.160,98.180,1.820,24.01,224,0.875,bicubic +gmixer_24_224.ra3_in1k,92.830,7.170,97.880,2.120,24.72,224,0.875,bicubic +resmlp_12_224.fb_distilled_in1k,92.820,7.180,98.140,1.860,15.35,224,0.875,bicubic +resnet101.tv_in1k,92.810,7.190,98.250,1.750,44.55,224,0.875,bilinear +dpn68b.mx_in1k,92.790,7.210,98.150,1.850,12.61,224,0.875,bicubic +convnext_atto.d2_in1k,92.790,7.210,98.080,1.920,3.70,288,0.950,bicubic +efficientnet_b1_pruned.in1k,92.780,7.220,98.040,1.960,6.33,240,0.882,bicubic +res2net50_14w_8s.in1k,92.770,7.230,98.170,1.830,25.06,224,0.875,bilinear +resnext50_32x4d.tv_in1k,92.750,7.250,98.270,1.730,25.03,224,0.875,bilinear +inception_v3.tv_in1k,92.750,7.250,97.970,2.030,23.83,299,0.875,bicubic +densenet201.tv_in1k,92.740,7.260,98.230,1.770,20.01,224,0.875,bicubic +resnet50.a3_in1k,92.720,7.280,98.170,1.830,25.56,224,0.950,bicubic +resnet34.a2_in1k,92.720,7.280,98.010,1.990,21.80,288,1.000,bicubic efficientnet_b0.ra_in1k,92.690,7.310,98.070,1.930,5.29,224,0.875,bicubic -resnet34d,92.680,7.320,98.310,1.690,21.82,224,0.875,bicubic -tf_efficientnet_lite2.in1k,92.650,7.350,98.230,1.770,6.09,260,0.890,bicubic -legacy_seresnext26_32x4d,92.640,7.360,98.130,1.870,16.79,224,0.875,bicubic -poolformer_s12,92.620,7.380,98.200,1.800,11.92,224,0.900,bicubic -tf_efficientnet_lite1.in1k,92.620,7.380,98.080,1.920,5.42,240,0.882,bicubic -eca_resnext26ts,92.610,7.390,98.260,1.740,10.30,256,0.900,bicubic +tf_efficientnet_lite2.in1k,92.660,7.340,98.230,1.770,6.09,260,0.890,bicubic +legacy_seresnext26_32x4d.in1k,92.640,7.360,98.120,1.880,16.79,224,0.875,bicubic +densenetblur121d.ra_in1k,92.620,7.380,98.260,1.740,8.00,288,0.950,bicubic +tf_efficientnet_lite1.in1k,92.620,7.380,98.060,1.940,5.42,240,0.882,bicubic +poolformer_s12.sail_in1k,92.610,7.390,98.180,1.820,11.92,224,0.900,bicubic tf_efficientnet_cc_b0_4e.in1k,92.590,7.410,98.080,1.920,13.31,224,0.875,bicubic -hardcorenas_e,92.570,7.430,98.110,1.890,8.07,224,0.875,bilinear -res2net50_48w_2s,92.550,7.450,98.080,1.920,25.29,224,0.875,bilinear -gluon_resnet50_v1b,92.540,7.460,98.170,1.830,25.56,224,0.875,bicubic -densenet161,92.500,7.500,98.290,1.710,28.68,224,0.875,bicubic -xcit_tiny_12_p16_224,92.500,7.500,98.240,1.760,6.72,224,1.000,bicubic -res2net50_26w_4s,92.500,7.500,98.060,1.940,25.70,224,0.875,bilinear +hardcorenas_e.miil_green_in1k,92.580,7.420,98.100,1.900,8.07,224,0.875,bilinear +regnetx_008.tv2_in1k,92.550,7.450,98.180,1.820,7.26,224,0.965,bicubic +res2net50_48w_2s.in1k,92.550,7.450,98.080,1.920,25.29,224,0.875,bilinear +resnet50.gluon_in1k,92.540,7.460,98.170,1.830,25.56,224,0.875,bicubic +densenet121.ra_in1k,92.520,7.480,98.220,1.780,7.98,288,0.950,bicubic +resnet26d.bt_in1k,92.520,7.480,98.210,1.790,16.01,288,0.950,bicubic +xcit_tiny_12_p16_224.fb_in1k,92.510,7.490,98.240,1.760,6.72,224,1.000,bicubic +res2net50_26w_4s.in1k,92.490,7.510,98.030,1.970,25.70,224,0.875,bilinear +densenet161.tv_in1k,92.480,7.520,98.300,1.700,28.68,224,0.875,bicubic tinynet_a.in1k,92.440,7.560,98.080,1.920,6.19,192,0.875,bicubic -convmixer_1024_20_ks9_p14,92.430,7.570,98.270,1.730,24.38,224,0.960,bicubic -mixnet_m.ft_in1k,92.430,7.570,97.870,2.130,5.01,224,0.875,bicubic -hardcorenas_d,92.400,7.600,98.070,1.930,7.50,224,0.875,bilinear -mobilenetv2_120d.ra_in1k,92.400,7.600,98.050,1.950,5.83,224,0.875,bicubic -skresnet34,92.390,7.610,98.150,1.850,22.28,224,0.875,bicubic -tf_mixnet_m.in1k,92.330,7.670,97.890,2.110,5.01,224,0.875,bicubic -hrnet_w18,92.320,7.680,98.240,1.760,21.30,224,0.875,bilinear -ese_vovnet19b_dw,92.290,7.710,98.090,1.910,6.54,224,0.875,bicubic -selecsls42b,92.280,7.720,98.150,1.850,32.46,224,0.875,bicubic -mobilenetv3_large_100.miil_in21k_ft_in1k,92.260,7.740,97.640,2.360,5.48,224,0.875,bilinear +hardcorenas_d.miil_green_in1k,92.410,7.590,98.070,1.930,7.50,224,0.875,bilinear +mixnet_m.ft_in1k,92.410,7.590,97.870,2.130,5.01,224,0.875,bicubic +convmixer_1024_20_ks9_p14.in1k,92.400,7.600,98.270,1.730,24.38,224,0.960,bicubic +resnet34.bt_in1k,92.400,7.600,98.150,1.850,21.80,288,0.950,bicubic +mobilenetv2_120d.ra_in1k,92.400,7.600,98.060,1.940,5.83,224,0.875,bicubic +skresnet34.ra_in1k,92.380,7.620,98.150,1.850,22.28,224,0.875,bicubic +hrnet_w18.ms_in1k,92.320,7.680,98.270,1.730,21.30,224,0.875,bilinear +tf_mixnet_m.in1k,92.300,7.700,97.890,2.110,5.01,224,0.875,bicubic +SelecSls42b.in1k,92.290,7.710,98.110,1.890,32.46,224,0.875,bicubic +mobilenetv3_large_100.miil_in21k_ft_in1k,92.260,7.740,97.630,2.370,5.48,224,0.875,bilinear tf_efficientnet_b0.aa_in1k,92.250,7.750,98.000,2.000,5.29,224,0.875,bicubic -dla60,92.230,7.770,98.110,1.890,22.04,224,0.875,bilinear -resmlp_12_224,92.210,7.790,98.160,1.840,15.35,224,0.875,bicubic +resmlp_12_224.fb_in1k,92.220,7.780,98.150,1.850,15.35,224,0.875,bicubic +dla60.in1k,92.200,7.800,98.110,1.890,22.04,224,0.875,bilinear tf_efficientnet_b0.ap_in1k,92.200,7.800,98.020,1.980,5.29,224,0.875,bicubic -regnetx_016,92.170,7.830,98.210,1.790,9.19,224,0.875,bicubic -gernet_s,92.140,7.860,98.190,1.810,8.17,224,0.875,bilinear -xcit_nano_12_p8_224_dist,92.090,7.910,98.160,1.840,3.05,224,1.000,bicubic -resnet26d,92.070,7.930,97.960,2.040,16.01,224,0.875,bicubic +regnetx_016.pycls_in1k,92.180,7.820,98.200,1.800,9.19,224,0.875,bicubic +gernet_s.idstcv_in1k,92.130,7.870,98.190,1.810,8.17,224,0.875,bilinear +resnext26ts.ra2_in1k,92.130,7.870,98.030,1.970,10.30,288,1.000,bicubic +xcit_nano_12_p8_224.fb_dist_in1k,92.090,7.910,98.160,1.840,3.05,224,1.000,bicubic +seresnet50.a3_in1k,92.070,7.930,98.040,1.960,28.09,224,0.950,bicubic +tf_efficientnet_b0.in1k,92.070,7.930,97.920,2.080,5.29,224,0.875,bicubic vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k,92.040,7.960,98.290,1.710,6.36,384,1.000,bicubic vit_small_patch32_224.augreg_in21k_ft_in1k,92.040,7.960,98.230,1.770,22.88,224,0.900,bicubic -hardcorenas_c,92.020,7.980,97.840,2.160,5.52,224,0.875,bilinear -dpn68,92.010,7.990,98.050,1.950,12.61,224,0.875,bicubic -tf_efficientnet_es.in1k,91.980,8.020,97.860,2.140,5.44,224,0.875,bicubic -levit_128s,91.970,8.030,98.060,1.940,7.78,224,0.900,bicubic -repvgg_a2,91.940,8.060,98.150,1.850,28.21,224,0.875,bilinear -densenet169,91.930,8.070,98.100,1.900,14.15,224,0.875,bicubic -densenetblur121d,91.910,8.090,98.070,1.930,8.00,224,0.875,bicubic -tv_resnet50,91.880,8.120,98.040,1.960,25.56,224,0.875,bilinear -resnext26ts,91.870,8.130,97.920,2.080,10.30,256,0.900,bicubic -mixer_b16_224,91.870,8.130,97.250,2.750,59.88,224,0.875,bicubic -mobilenetv2_140.ra_in1k,91.830,8.170,97.860,2.140,6.11,224,0.875,bicubic +hardcorenas_c.miil_green_in1k,92.020,7.980,97.840,2.160,5.52,224,0.875,bilinear +resnet26.bt_in1k,91.990,8.010,98.220,1.780,16.00,288,0.950,bicubic +dpn68.mx_in1k,91.990,8.010,98.020,1.980,12.61,224,0.875,bicubic +efficientformerv2_s0.snap_dist_in1k,91.970,8.030,97.890,2.110,3.60,224,0.950,bicubic +tf_efficientnet_es.in1k,91.970,8.030,97.880,2.120,5.44,224,0.875,bicubic +levit_128s.fb_dist_in1k,91.960,8.040,98.060,1.940,7.78,224,0.900,bicubic +levit_conv_128s.fb_dist_in1k,91.960,8.040,98.060,1.940,7.78,224,0.900,bicubic +repvgg_a2.rvgg_in1k,91.940,8.060,98.140,1.860,28.21,224,0.875,bilinear +densenet169.tv_in1k,91.940,8.060,98.100,1.900,14.15,224,0.875,bicubic +mixer_b16_224.goog_in21k_ft_in1k,91.880,8.120,97.260,2.740,59.88,224,0.875,bicubic +resnet50.tv_in1k,91.870,8.130,98.040,1.960,25.56,224,0.875,bilinear +mobilenetv2_140.ra_in1k,91.840,8.160,97.860,2.140,6.11,224,0.875,bicubic +xcit_nano_12_p16_384.fb_dist_in1k,91.830,8.170,98.020,1.980,3.05,384,1.000,bicubic mixnet_s.ft_in1k,91.830,8.170,97.690,2.310,4.13,224,0.875,bicubic -xcit_nano_12_p16_384_dist,91.820,8.180,98.020,1.980,3.05,384,1.000,bicubic -hardcorenas_b,91.770,8.230,97.780,2.220,5.18,224,0.875,bilinear vit_tiny_patch16_224.augreg_in21k_ft_in1k,91.760,8.240,98.040,1.960,5.72,224,0.900,bicubic -mobilevitv2_075,91.760,8.240,97.860,2.140,2.87,256,0.888,bicubic -regnety_008,91.750,8.250,98.180,1.820,6.26,224,0.875,bicubic -resnest14d,91.720,8.280,97.870,2.130,10.61,224,0.875,bilinear -edgenext_x_small,91.720,8.280,97.610,2.390,2.34,288,1.000,bicubic -densenet121,91.570,8.430,98.030,1.970,7.98,224,0.875,bicubic -tf_mixnet_s.in1k,91.510,8.490,97.620,2.380,4.13,224,0.875,bicubic -repvgg_b0,91.430,8.570,97.990,2.010,15.82,224,0.875,bilinear -regnety_006,91.370,8.630,97.710,2.290,6.06,224,0.875,bicubic -hardcorenas_a,91.350,8.650,97.860,2.140,5.26,224,0.875,bilinear -mobilenetv3_large_100.ra_in1k,91.320,8.680,97.710,2.290,5.48,224,0.875,bicubic -semnasnet_100.rmsp_in1k,91.280,8.720,97.560,2.440,3.89,224,0.875,bicubic +mobilevitv2_075.cvnets_in1k,91.760,8.240,97.860,2.140,2.87,256,0.888,bicubic +hardcorenas_b.miil_green_in1k,91.760,8.240,97.770,2.230,5.18,224,0.875,bilinear +regnety_008.pycls_in1k,91.730,8.270,98.180,1.820,6.26,224,0.875,bicubic +resnest14d.gluon_in1k,91.720,8.280,97.870,2.130,10.61,224,0.875,bilinear +edgenext_x_small.in1k,91.710,8.290,97.600,2.400,2.34,288,1.000,bicubic +regnety_004.tv2_in1k,91.580,8.420,97.890,2.110,4.34,224,0.965,bicubic +tf_mixnet_s.in1k,91.520,8.480,97.620,2.380,4.13,224,0.875,bicubic +repvgg_b0.rvgg_in1k,91.400,8.600,98.000,2.000,15.82,224,0.875,bilinear +regnety_006.pycls_in1k,91.390,8.610,97.700,2.300,6.06,224,0.875,bicubic +hardcorenas_a.miil_green_in1k,91.350,8.650,97.850,2.150,5.26,224,0.875,bilinear +mobilenetv3_large_100.ra_in1k,91.350,8.650,97.710,2.290,5.48,224,0.875,bicubic +semnasnet_100.rmsp_in1k,91.310,8.690,97.560,2.440,3.89,224,0.875,bicubic tf_mobilenetv3_large_100.in1k,91.240,8.760,97.660,2.340,5.48,224,0.875,bilinear mobilenetv3_rw.rmsp_in1k,91.210,8.790,97.660,2.340,5.48,224,0.875,bicubic -hrnet_w18_small_v2,91.190,8.810,97.900,2.100,15.60,224,0.875,bilinear -vit_base_patch32_224.augreg_in1k,91.190,8.810,97.380,2.620,88.22,224,0.900,bicubic -efficientnet_es_pruned.in1k,91.180,8.820,97.750,2.250,5.44,224,0.875,bicubic -efficientnet_lite0.ra_in1k,91.140,8.860,97.630,2.370,4.65,224,0.875,bicubic -resnet34,91.130,8.870,97.620,2.380,21.80,224,0.875,bilinear -resnet26,91.110,8.890,97.740,2.260,16.00,224,0.875,bicubic -regnetx_008,91.050,8.950,97.710,2.290,7.26,224,0.875,bicubic -tf_efficientnet_lite0.in1k,91.040,8.960,97.590,2.410,4.65,224,0.875,bicubic -xcit_nano_12_p8_224,91.020,8.980,97.800,2.200,3.05,224,1.000,bicubic -gluon_resnet34_v1b,90.960,9.040,97.630,2.370,21.80,224,0.875,bicubic -mobilenetv2_110d.ra_in1k,90.950,9.050,97.550,2.450,4.52,224,0.875,bicubic -tinynet_b.in1k,90.920,9.080,97.670,2.330,3.73,188,0.875,bicubic -pit_ti_distilled_224,90.900,9.100,97.700,2.300,5.10,224,0.900,bicubic -tv_densenet121,90.890,9.110,97.710,2.290,7.98,224,0.875,bicubic -legacy_seresnet34,90.890,9.110,97.580,2.420,21.96,224,0.875,bilinear -mobilevit_xs,90.830,9.170,97.920,2.080,2.32,256,0.900,bicubic -dla34,90.760,9.240,97.660,2.340,15.74,224,0.875,bilinear -deit_tiny_distilled_patch16_224,90.700,9.300,97.570,2.430,5.91,224,0.900,bicubic -fbnetc_100.rmsp_in1k,90.700,9.300,97.210,2.790,5.57,224,0.875,bilinear -swsl_resnet18,90.690,9.310,97.700,2.300,11.69,224,0.875,bilinear -crossvit_9_240,90.640,9.360,97.740,2.260,8.55,240,0.875,bicubic -convit_tiny,90.630,9.370,97.740,2.260,5.71,224,0.875,bicubic -mnasnet_100.rmsp_in1k,90.510,9.490,97.470,2.530,4.38,224,0.875,bicubic -regnety_004,90.500,9.500,97.540,2.460,4.34,224,0.875,bicubic -regnetx_006,90.350,9.650,97.430,2.570,6.20,224,0.875,bicubic -spnasnet_100.rmsp_in1k,90.350,9.650,97.190,2.810,4.42,224,0.875,bilinear -crossvit_tiny_240,90.250,9.750,97.590,2.410,7.01,240,0.875,bicubic -ssl_resnet18,90.220,9.780,97.550,2.450,11.69,224,0.875,bilinear -vgg16_bn,90.090,9.910,97.370,2.630,138.37,224,0.875,bilinear -vgg19_bn,90.080,9.920,97.580,2.420,143.68,224,0.875,bilinear -semnasnet_075.rmsp_in1k,90.070,9.930,97.430,2.570,2.91,224,0.875,bicubic -ghostnet_100,90.020,9.980,97.370,2.630,5.18,224,0.875,bilinear -pit_ti_224,89.940,10.060,97.450,2.550,4.85,224,0.900,bicubic -tv_resnet34,89.940,10.060,97.340,2.660,21.80,224,0.875,bilinear -vit_base_patch32_224.sam,89.750,10.250,97.000,3.000,88.22,224,0.900,bicubic -tf_mobilenetv3_large_075.in1k,89.680,10.320,97.210,2.790,3.99,224,0.875,bilinear -xcit_nano_12_p16_224_dist,89.680,10.320,97.090,2.910,3.05,224,1.000,bicubic -deit_tiny_patch16_224,89.670,10.330,97.450,2.550,5.72,224,0.900,bicubic -skresnet18,89.660,10.340,97.230,2.770,11.96,224,0.875,bicubic -mobilenetv2_100.ra_in1k,89.600,10.400,97.140,2.860,3.50,224,0.875,bicubic -resnet18d,89.280,10.720,97.150,2.850,11.71,224,0.875,bicubic -vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k,89.170,10.830,97.230,2.770,6.34,224,0.900,bicubic -hrnet_w18_small,89.050,10.950,97.110,2.890,13.19,224,0.875,bilinear -resnet14t,89.050,10.950,96.620,3.380,10.08,224,0.950,bilinear -vgg19,89.040,10.960,96.870,3.130,143.67,224,0.875,bilinear -tf_mobilenetv3_large_minimal_100.in1k,88.970,11.030,96.860,3.140,3.92,224,0.875,bilinear -regnetx_004,88.900,11.100,97.120,2.880,5.16,224,0.875,bicubic -legacy_seresnet18,88.880,11.120,96.980,3.020,11.78,224,0.875,bicubic -edgenext_xx_small,88.880,11.120,96.690,3.310,1.33,288,1.000,bicubic -pvt_v2_b0,88.790,11.210,96.860,3.140,3.67,224,0.900,bicubic -lcnet_100.ra2_in1k,88.790,11.210,96.730,3.270,2.95,224,0.875,bicubic -vgg13_bn,88.760,11.240,96.970,3.030,133.05,224,0.875,bilinear -xcit_nano_12_p16_224,88.610,11.390,96.790,3.210,3.05,224,1.000,bicubic -vgg16,88.550,11.450,96.790,3.210,138.36,224,0.875,bilinear -gluon_resnet18_v1b,88.400,11.600,96.680,3.320,11.69,224,0.875,bicubic -mobilevitv2_050,88.230,11.770,96.990,3.010,1.37,256,0.888,bicubic -tinynet_c.in1k,87.770,12.230,96.370,3.630,2.46,184,0.875,bicubic -vgg11_bn,87.500,12.500,96.820,3.180,132.87,224,0.875,bilinear -resnet18,87.390,12.610,96.290,3.710,11.69,224,0.875,bilinear -regnety_002,87.380,12.620,96.590,3.410,3.16,224,0.875,bicubic -mobilevit_xxs,87.170,12.830,96.100,3.900,1.27,256,0.900,bicubic -mixer_l16_224,87.150,12.850,93.520,6.480,208.20,224,0.875,bicubic -vgg13,87.050,12.950,96.320,3.680,133.05,224,0.875,bilinear -vgg11,86.550,13.450,96.280,3.720,132.86,224,0.875,bilinear -dla60x_c,86.290,13.710,96.160,3.840,1.32,224,0.875,bilinear -resnet10t,86.200,13.800,95.650,4.350,5.44,224,0.950,bilinear -regnetx_002,86.190,13.810,95.980,4.020,2.68,224,0.875,bicubic -lcnet_075.ra2_in1k,85.990,14.010,95.680,4.320,2.36,224,0.875,bicubic -mobilenetv3_small_100.lamb_in1k,85.220,14.780,95.620,4.380,2.54,224,0.875,bicubic +hrnet_w18_small_v2.ms_in1k,91.200,8.800,97.900,2.100,15.60,224,0.875,bilinear +vit_base_patch32_224.augreg_in1k,91.190,8.810,97.390,2.610,88.22,224,0.900,bicubic +efficientnet_es_pruned.in1k,91.170,8.830,97.740,2.260,5.44,224,0.875,bicubic +efficientnet_lite0.ra_in1k,91.120,8.880,97.630,2.370,4.65,224,0.875,bicubic +regnetx_008.pycls_in1k,91.050,8.950,97.720,2.280,7.26,224,0.875,bicubic +tf_efficientnet_lite0.in1k,91.050,8.950,97.580,2.420,4.65,224,0.875,bicubic +xcit_nano_12_p8_224.fb_in1k,91.010,8.990,97.780,2.220,3.05,224,1.000,bicubic +resnet34.gluon_in1k,90.970,9.030,97.630,2.370,21.80,224,0.875,bicubic +mobilenetv2_110d.ra_in1k,90.970,9.030,97.540,2.460,4.52,224,0.875,bicubic +tinynet_b.in1k,90.920,9.080,97.660,2.340,3.73,188,0.875,bicubic +legacy_seresnet34.in1k,90.900,9.100,97.580,2.420,21.96,224,0.875,bilinear +densenet121.tv_in1k,90.890,9.110,97.710,2.290,7.98,224,0.875,bicubic +mobilevit_xs.cvnets_in1k,90.800,9.200,97.930,2.070,2.32,256,0.900,bicubic +pit_ti_distilled_224.in1k,90.770,9.230,97.610,2.390,5.10,224,0.900,bicubic +dla34.in1k,90.760,9.240,97.650,2.350,15.74,224,0.875,bilinear +fbnetc_100.rmsp_in1k,90.730,9.270,97.210,2.790,5.57,224,0.875,bilinear +deit_tiny_distilled_patch16_224.fb_in1k,90.710,9.290,97.560,2.440,5.91,224,0.900,bicubic +resnet18.fb_swsl_ig1b_ft_in1k,90.700,9.300,97.700,2.300,11.69,224,0.875,bilinear +convit_tiny.fb_in1k,90.660,9.340,97.730,2.270,5.71,224,0.875,bicubic +crossvit_9_240.in1k,90.640,9.360,97.730,2.270,8.55,240,0.875,bicubic +regnetx_004_tv.tv2_in1k,90.640,9.360,97.590,2.410,5.50,224,0.965,bicubic +mnasnet_100.rmsp_in1k,90.500,9.500,97.470,2.530,4.38,224,0.875,bicubic +regnety_004.pycls_in1k,90.490,9.510,97.530,2.470,4.34,224,0.875,bicubic +regnetx_006.pycls_in1k,90.350,9.650,97.430,2.570,6.20,224,0.875,bicubic +spnasnet_100.rmsp_in1k,90.330,9.670,97.190,2.810,4.42,224,0.875,bilinear +resnet18d.ra2_in1k,90.280,9.720,97.560,2.440,11.71,288,0.950,bicubic +crossvit_tiny_240.in1k,90.230,9.770,97.590,2.410,7.01,240,0.875,bicubic +resnet18.fb_ssl_yfcc100m_ft_in1k,90.210,9.790,97.540,2.460,11.69,224,0.875,bilinear +semnasnet_075.rmsp_in1k,90.090,9.910,97.440,2.560,2.91,224,0.875,bicubic +vgg16_bn.tv_in1k,90.090,9.910,97.370,2.630,138.37,224,0.875,bilinear +vgg19_bn.tv_in1k,90.080,9.920,97.580,2.420,143.68,224,0.875,bilinear +ghostnet_100.in1k,90.030,9.970,97.370,2.630,5.18,224,0.875,bilinear +resnet34.tv_in1k,89.950,10.050,97.340,2.660,21.80,224,0.875,bilinear +pit_ti_224.in1k,89.940,10.060,97.450,2.550,4.85,224,0.900,bicubic +resnet34.a3_in1k,89.940,10.060,97.180,2.820,21.80,224,0.950,bicubic +vit_base_patch32_224.sam_in1k,89.740,10.260,97.000,3.000,88.22,224,0.900,bicubic +xcit_nano_12_p16_224.fb_dist_in1k,89.710,10.290,97.100,2.900,3.05,224,1.000,bicubic +resnet18.a1_in1k,89.680,10.320,97.100,2.900,11.69,288,1.000,bicubic +skresnet18.ra_in1k,89.660,10.340,97.230,2.770,11.96,224,0.875,bicubic +tf_mobilenetv3_large_075.in1k,89.660,10.340,97.190,2.810,3.99,224,0.875,bilinear +deit_tiny_patch16_224.fb_in1k,89.650,10.350,97.460,2.540,5.72,224,0.900,bicubic +mobilenetv2_100.ra_in1k,89.580,10.420,97.140,2.860,3.50,224,0.875,bicubic +resnet18.a2_in1k,89.570,10.430,96.960,3.040,11.69,288,1.000,bicubic +vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k,89.180,10.820,97.220,2.780,6.34,224,0.900,bicubic +hrnet_w18_small.ms_in1k,89.050,10.950,97.120,2.880,13.19,224,0.875,bilinear +vgg19.tv_in1k,89.050,10.950,96.870,3.130,143.67,224,0.875,bilinear +resnet14t.c3_in1k,89.000,11.000,96.730,3.270,10.08,224,0.950,bicubic +tf_mobilenetv3_large_minimal_100.in1k,88.950,11.050,96.860,3.140,3.92,224,0.875,bilinear +regnetx_004.pycls_in1k,88.890,11.110,97.110,2.890,5.16,224,0.875,bicubic +legacy_seresnet18.in1k,88.890,11.110,96.980,3.020,11.78,224,0.875,bicubic +edgenext_xx_small.in1k,88.890,11.110,96.700,3.300,1.33,288,1.000,bicubic +pvt_v2_b0.in1k,88.780,11.220,96.860,3.140,3.67,224,0.900,bicubic +vgg13_bn.tv_in1k,88.750,11.250,96.980,3.020,133.05,224,0.875,bilinear +lcnet_100.ra2_in1k,88.750,11.250,96.720,3.280,2.95,224,0.875,bicubic +xcit_nano_12_p16_224.fb_in1k,88.620,11.380,96.790,3.210,3.05,224,1.000,bicubic +vgg16.tv_in1k,88.560,11.440,96.800,3.200,138.36,224,0.875,bilinear +resnet18.gluon_in1k,88.370,11.630,96.670,3.330,11.69,224,0.875,bicubic +mobilevitv2_050.cvnets_in1k,88.190,11.810,96.990,3.010,1.37,256,0.888,bicubic +tinynet_c.in1k,87.790,12.210,96.370,3.630,2.46,184,0.875,bicubic +vgg11_bn.tv_in1k,87.500,12.500,96.820,3.180,132.87,224,0.875,bilinear +resnet18.tv_in1k,87.380,12.620,96.290,3.710,11.69,224,0.875,bilinear +regnety_002.pycls_in1k,87.370,12.630,96.610,3.390,3.16,224,0.875,bicubic +mobilevit_xxs.cvnets_in1k,87.150,12.850,96.100,3.900,1.27,256,0.900,bicubic +mixer_l16_224.goog_in21k_ft_in1k,87.150,12.850,93.520,6.480,208.20,224,0.875,bicubic +vgg13.tv_in1k,87.040,12.960,96.330,3.670,133.05,224,0.875,bilinear +vgg11.tv_in1k,86.580,13.420,96.280,3.720,132.86,224,0.875,bilinear +resnet18.a3_in1k,86.450,13.550,95.880,4.120,11.69,224,0.950,bicubic +dla60x_c.in1k,86.280,13.720,96.160,3.840,1.32,224,0.875,bilinear +resnet10t.c3_in1k,86.220,13.780,95.740,4.260,5.44,224,0.950,bicubic +regnetx_002.pycls_in1k,86.140,13.860,95.960,4.040,2.68,224,0.875,bicubic +lcnet_075.ra2_in1k,85.970,14.030,95.680,4.320,2.36,224,0.875,bicubic +mobilenetv3_small_100.lamb_in1k,85.220,14.780,95.650,4.350,2.54,224,0.875,bicubic tf_mobilenetv3_small_100.in1k,85.190,14.810,95.770,4.230,2.54,224,0.875,bilinear -tinynet_d.in1k,84.750,15.250,95.180,4.820,2.34,152,0.875,bicubic -mnasnet_small.lamb_in1k,84.440,15.560,95.180,4.820,2.03,224,0.875,bicubic -dla46x_c,84.250,15.750,95.270,4.730,1.07,224,0.875,bilinear -mobilenetv2_050.lamb_in1k,83.890,16.110,94.720,5.280,1.97,224,0.875,bicubic -dla46_c,83.650,16.350,94.920,5.080,1.30,224,0.875,bilinear -tf_mobilenetv3_small_075.in1k,83.520,16.480,94.790,5.210,2.04,224,0.875,bilinear -mobilenetv3_small_075.lamb_in1k,83.040,16.960,94.100,5.900,2.04,224,0.875,bicubic -lcnet_050.ra2_in1k,81.780,18.220,93.710,6.290,1.88,224,0.875,bicubic -tf_mobilenetv3_small_minimal_100.in1k,81.380,18.620,93.670,6.330,2.04,224,0.875,bilinear -tinynet_e.in1k,78.900,21.100,92.560,7.440,2.04,106,0.875,bicubic -mobilenetv3_small_050.lamb_in1k,76.990,23.010,91.300,8.700,1.59,224,0.875,bicubic +tinynet_d.in1k,84.720,15.280,95.170,4.830,2.34,152,0.875,bicubic +mnasnet_small.lamb_in1k,84.420,15.580,95.190,4.810,2.03,224,0.875,bicubic +dla46x_c.in1k,84.200,15.800,95.270,4.730,1.07,224,0.875,bilinear +mobilenetv2_050.lamb_in1k,83.900,16.100,94.730,5.270,1.97,224,0.875,bicubic +dla46_c.in1k,83.610,16.390,94.950,5.050,1.30,224,0.875,bilinear +tf_mobilenetv3_small_075.in1k,83.500,16.500,94.840,5.160,2.04,224,0.875,bilinear +mobilenetv3_small_075.lamb_in1k,83.030,16.970,94.100,5.900,2.04,224,0.875,bicubic +lcnet_050.ra2_in1k,81.780,18.220,93.740,6.260,1.88,224,0.875,bicubic +tf_mobilenetv3_small_minimal_100.in1k,81.400,18.600,93.680,6.320,2.04,224,0.875,bilinear +tinynet_e.in1k,78.920,21.080,92.540,7.460,2.04,106,0.875,bicubic +mobilenetv3_small_050.lamb_in1k,77.020,22.980,91.300,8.700,1.59,224,0.875,bicubic diff --git a/results/results-imagenet-a.csv b/results/results-imagenet-a.csv index 0ed6790c49..e91a28e5da 100644 --- a/results/results-imagenet-a.csv +++ b/results/results-imagenet-a.csv @@ -1,791 +1,1004 @@ model,top1,top1_err,top5,top5_err,param_count,img_size,crop_pct,interpolation,top1_diff,top5_diff,rank_diff -eva_giant_patch14_560.m30m_ft_in22k_in1k,87.533,12.467,96.893,3.107,"1,014.45",560,1.000,bicubic,-11.287,-2.927,0 -eva_giant_patch14_336.clip_ft_in1k,85.280,14.720,95.733,4.267,"1,013.01",336,1.000,bicubic,-13.540,-4.167,0 -eva_giant_patch14_336.m30m_ft_in22k_in1k,85.160,14.840,96.360,3.640,"1,013.01",336,1.000,bicubic,-13.650,-3.540,0 -tf_efficientnet_l2.ns_jft_in1k,84.760,15.240,96.147,3.853,480.31,800,0.960,bicubic,-13.790,-3.673,+6 -eva_large_patch14_336.in22k_ft_in22k_in1k,83.853,16.147,95.347,4.653,304.53,336,1.000,bicubic,-14.887,-4.463,-1 -maxvit_xlarge_tf_512.in21k_ft_in1k,83.400,16.600,95.533,4.467,475.77,512,1.000,bicubic,-15.220,-4.257,+1 -tf_efficientnet_l2.ns_jft_in1k_475,83.373,16.627,95.453,4.547,480.31,475,0.936,bicubic,-15.127,-4.327,+7 -eva_large_patch14_336.in22k_ft_in1k,82.747,17.253,95.520,4.480,304.53,336,1.000,bicubic,-15.963,-4.350,-3 -maxvit_large_tf_512.in21k_ft_in1k,81.747,18.253,95.040,4.960,212.33,512,1.000,bicubic,-16.873,-4.760,-1 -beit_large_patch16_512.in22k_ft_in22k_in1k,81.613,18.387,94.880,5.120,305.67,512,1.000,bicubic,-16.947,-4.960,-1 -maxvit_base_tf_512.in21k_ft_in1k,81.333,18.667,94.467,5.533,119.88,512,1.000,bicubic,-17.297,-5.333,-5 -maxvit_xlarge_tf_384.in21k_ft_in1k,81.067,18.933,94.640,5.360,475.32,384,1.000,bicubic,-17.433,-5.190,+3 -eva_giant_patch14_224.clip_ft_in1k,80.813,19.187,94.320,5.680,"1,012.56",224,1.000,bicubic,-17.667,-5.500,+4 -deit3_large_patch16_384_in21ft1k,79.213,20.787,93.627,6.373,304.76,384,1.000,bicubic,-19.247,-6.133,+4 -beit_large_patch16_384.in22k_ft_in22k_in1k,79.120,20.880,94.280,5.720,305.00,384,1.000,bicubic,-19.400,-5.540,-3 -maxvit_large_tf_384.in21k_ft_in1k,78.027,21.973,93.280,6.720,212.03,384,1.000,bicubic,-20.463,-6.470,0 -vit_large_patch14_clip_336.openai_ft_in12k_in1k,77.293,22.707,93.613,6.387,304.53,336,1.000,bicubic,-20.967,-6.157,+8 -maxvit_base_tf_384.in21k_ft_in1k,76.813,23.187,92.587,7.413,119.65,384,1.000,bicubic,-21.707,-7.163,-5 -beitv2_large_patch16_224.in1k_ft_in22k_in1k,76.733,23.267,93.160,6.840,304.43,224,0.950,bicubic,-21.807,-6.600,-8 -eva_large_patch14_196.in22k_ft_in22k_in1k,75.547,24.453,91.747,8.253,304.14,196,1.000,bicubic,-22.883,-8.063,0 -vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,74.227,25.773,92.267,7.733,632.46,336,1.000,bicubic,-24.203,-7.503,-2 -swinv2_large_window12to24_192to384_22kft1k,73.867,26.133,91.747,8.253,196.74,384,1.000,bicubic,-24.283,-7.943,+13 -eva_large_patch14_196.in22k_ft_in1k,73.187,26.813,91.440,8.560,304.14,196,1.000,bicubic,-25.163,-8.380,-1 -vit_large_patch14_clip_224.openai_ft_in12k_in1k,72.333,27.667,90.827,9.173,304.20,224,1.000,bicubic,-25.887,-8.893,+4 -vit_large_patch14_clip_336.laion2b_ft_in12k_in1k,71.853,28.147,90.213,9.787,304.53,336,1.000,bicubic,-26.477,-9.547,-2 -vit_large_patch14_clip_224.openai_ft_in1k,71.760,28.240,91.480,8.520,304.20,224,1.000,bicubic,-26.400,-8.180,+8 -deit3_base_patch16_384_in21ft1k,71.293,28.707,89.960,10.040,86.88,384,1.000,bicubic,-26.547,-9.720,+24 -swinv2_base_window12to24_192to384_22kft1k,71.267,28.733,91.293,8.707,87.92,384,1.000,bicubic,-26.873,-8.487,+8 -vit_large_patch16_384.augreg_in21k_ft_in1k,71.227,28.773,89.840,10.160,304.72,384,1.000,bicubic,-26.993,-9.890,-2 -vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k,70.733,29.267,90.387,9.613,632.05,224,1.000,bicubic,-27.537,-9.373,-6 -deit3_huge_patch14_224_in21ft1k,70.240,29.760,90.720,9.280,632.13,224,1.000,bicubic,-27.930,-9.040,+2 -volo_d5_512,69.653,30.347,90.427,9.573,296.09,512,1.150,bicubic,-28.117,-9.243,+25 -swin_large_patch4_window12_384,69.627,30.373,89.560,10.440,196.74,384,1.000,bicubic,-28.413,-10.130,+8 -convnext_xlarge.fb_in22k_ft_in1k_384,69.320,30.680,89.293,10.707,350.20,384,1.000,bicubic,-29.100,-10.517,-13 -deit3_large_patch16_224_in21ft1k,68.693,31.307,90.000,10.000,304.37,224,1.000,bicubic,-29.477,-9.730,-3 -beit_large_patch16_224.in22k_ft_in22k_in1k,68.507,31.493,89.560,10.440,304.43,224,0.900,bicubic,-29.673,-10.200,-5 -volo_d5_448,68.107,31.893,89.707,10.293,295.91,448,1.150,bicubic,-29.653,-9.913,+21 -maxvit_base_tf_512.in1k,67.920,32.080,88.507,11.493,119.88,512,1.000,bicubic,-29.820,-11.103,+22 -maxvit_large_tf_512.in1k,67.867,32.133,87.640,12.360,212.33,512,1.000,bicubic,-29.963,-11.920,+14 -tf_efficientnetv2_xl.in21k_ft_in1k,67.787,32.213,87.373,12.627,208.12,512,1.000,bicubic,-30.123,-12.197,+5 -swinv2_large_window12to16_192to256_22kft1k,67.293,32.707,88.027,11.973,196.74,256,0.900,bicubic,-30.567,-11.643,+9 -vit_large_patch14_clip_336.laion2b_ft_in1k,67.040,32.960,89.453,10.547,304.53,336,1.000,bicubic,-31.180,-10.347,-14 -tf_efficientnet_b7.ns_jft_in1k,67.040,32.960,88.667,11.333,66.35,600,0.949,bicubic,-30.870,-11.053,+2 -vit_large_patch14_clip_224.laion2b_ft_in12k_in1k,67.027,32.973,87.987,12.013,304.20,224,1.000,bicubic,-31.053,-11.773,-5 -convnext_xlarge.fb_in22k_ft_in1k,66.947,33.053,88.947,11.053,350.20,288,1.000,bicubic,-31.173,-10.803,-8 -volo_d4_448,66.640,33.360,88.987,11.013,193.41,448,1.150,bicubic,-31.030,-10.623,+18 -beit_base_patch16_384.in22k_ft_in22k_in1k,65.880,34.120,88.507,11.493,86.74,384,1.000,bicubic,-31.940,-11.193,+7 -vit_huge_patch14_clip_224.laion2b_ft_in1k,65.560,34.440,87.707,12.293,632.05,224,1.000,bicubic,-32.460,-12.013,-6 -convnext_large.fb_in22k_ft_in1k_384,65.547,34.453,87.467,12.533,197.77,384,1.000,bicubic,-32.683,-12.283,-23 -volo_d3_448,65.440,34.560,87.573,12.427,86.63,448,1.000,bicubic,-32.110,-11.977,+28 -convnext_large.fb_in22k_ft_in1k,65.027,34.973,87.933,12.067,197.77,288,1.000,bicubic,-33.093,-11.847,-13 -tf_efficientnetv2_l.in21k_ft_in1k,64.973,35.027,87.813,12.187,118.52,480,1.000,bicubic,-32.827,-11.957,+4 -swin_base_patch4_window12_384,64.480,35.520,87.493,12.507,87.90,384,1.000,bicubic,-33.410,-12.217,-6 -vit_base_patch16_384.augreg_in21k_ft_in1k,63.693,36.307,86.707,13.293,86.86,384,1.000,bicubic,-34.147,-12.963,-2 -maxvit_large_tf_384.in1k,63.467,36.533,85.107,14.893,212.03,384,1.000,bicubic,-34.103,-14.453,+21 -swinv2_base_window12to16_192to256_22kft1k,63.227,36.773,87.493,12.507,87.92,256,0.900,bicubic,-34.423,-12.087,+9 -maxvit_small_tf_512.in1k,62.867,37.133,86.293,13.707,69.13,512,1.000,bicubic,-34.883,-13.257,+2 -maxvit_base_tf_384.in1k,62.600,37.400,85.200,14.800,119.65,384,1.000,bicubic,-34.970,-14.390,+16 -cait_m48_448,62.373,37.627,86.453,13.547,356.46,448,1.000,bicubic,-35.107,-13.147,+27 -convnext_base.fb_in22k_ft_in1k_384,62.347,37.653,86.213,13.787,88.59,384,1.000,bicubic,-35.723,-13.437,-20 -tf_efficientnet_b6.ns_jft_in1k,62.267,37.733,85.173,14.827,43.04,528,0.942,bicubic,-35.363,-14.407,+7 -vit_base_patch8_224.augreg2_in21k_ft_in1k,62.093,37.907,85.867,14.133,86.58,224,0.900,bicubic,-35.617,-13.783,0 -beitv2_base_patch16_224.in1k_ft_in22k_in1k,61.693,38.307,85.507,14.493,86.53,224,0.900,bicubic,-35.997,-14.173,0 -vit_large_r50_s32_384.augreg_in21k_ft_in1k,61.507,38.493,83.960,16.040,329.09,384,1.000,bicubic,-36.353,-15.690,-15 -ig_resnext101_32x48d,61.013,38.987,83.347,16.653,828.41,224,0.875,bilinear,-36.607,-16.353,+4 -convnext_base.fb_in22k_ft_in1k,60.960,39.040,86.133,13.867,88.59,288,1.000,bicubic,-36.900,-13.547,-18 -swin_large_patch4_window7_224,60.893,39.107,85.840,14.160,196.53,224,0.900,bicubic,-36.757,-13.880,-1 -resnetv2_152x4_bitm,60.787,39.213,83.573,16.427,936.53,480,1.000,bilinear,-36.703,-16.037,+16 -deit3_large_patch16_384,60.507,39.493,85.693,14.307,304.76,384,1.000,bicubic,-36.913,-13.927,+21 -tf_efficientnet_b5.ns_jft_in1k,60.320,39.680,84.493,15.507,30.39,456,0.934,bicubic,-37.180,-15.137,+13 -vit_base_patch16_clip_384.openai_ft_in12k_in1k,60.253,39.747,84.613,15.387,86.86,384,0.950,bicubic,-37.947,-15.047,-41 -vit_large_patch14_clip_224.laion2b_ft_in1k,59.893,40.107,85.733,14.267,304.20,224,1.000,bicubic,-38.007,-13.917,-26 -xcit_large_24_p8_384_dist,59.893,40.107,85.493,14.507,188.93,384,1.000,bicubic,-37.627,-14.007,+7 -tf_efficientnetv2_m.in21k_ft_in1k,59.387,40.613,84.573,15.427,54.14,480,1.000,bicubic,-38.433,-15.027,-19 -vit_base_patch16_clip_384.laion2b_ft_in12k_in1k,59.160,40.840,83.267,16.733,86.86,384,1.000,bicubic,-38.850,-16.393,-33 -dm_nfnet_f6,59.160,40.840,82.333,17.667,438.36,576,0.956,bicubic,-38.440,-17.217,-4 -vit_base_patch8_224.augreg_in21k_ft_in1k,58.933,41.067,82.733,17.267,86.58,224,0.900,bicubic,-38.647,-16.777,-5 -maxvit_tiny_tf_512.in1k,58.840,41.160,84.547,15.453,31.05,512,1.000,bicubic,-38.730,-14.983,-3 -volo_d2_384,58.613,41.387,84.267,15.733,58.87,384,1.000,bicubic,-38.707,-15.213,+22 -dm_nfnet_f5,58.573,41.427,82.773,17.227,377.21,544,0.954,bicubic,-38.967,-16.797,-1 -dm_nfnet_f4,58.120,41.880,81.987,18.013,316.07,512,0.951,bicubic,-39.460,-17.683,-8 -ig_resnext101_32x32d,58.093,41.907,80.653,19.347,468.53,224,0.875,bilinear,-39.267,-18.877,+14 -cait_m36_384,57.840,42.160,84.813,15.187,271.22,384,1.000,bicubic,-39.560,-14.697,+11 -deit3_base_patch16_224_in21ft1k,57.253,42.747,83.520,16.480,86.59,224,1.000,bicubic,-40.227,-16.030,+1 -volo_d5_224,57.147,42.853,82.720,17.280,295.46,224,0.960,bicubic,-40.233,-16.850,+10 -deit3_small_patch16_384_in21ft1k,57.080,42.920,83.053,16.947,22.21,384,1.000,bicubic,-40.050,-16.447,+33 -xcit_medium_24_p8_384_dist,56.680,43.320,83.413,16.587,84.32,384,1.000,bicubic,-40.610,-16.097,+18 -maxvit_small_tf_384.in1k,56.587,43.413,82.307,17.693,69.02,384,1.000,bicubic,-40.833,-17.203,+3 -dm_nfnet_f3,55.827,44.173,80.947,19.053,254.92,416,0.940,bicubic,-41.523,-18.613,+10 -vit_large_patch16_224.augreg_in21k_ft_in1k,55.627,44.373,80.093,19.907,304.33,224,0.900,bicubic,-42.013,-19.497,-23 -vit_base_patch16_clip_384.openai_ft_in1k,54.960,45.040,82.600,17.400,86.86,384,1.000,bicubic,-42.590,-17.060,-14 -vit_base_r50_s16_384.orig_in21k_ft_in1k,54.627,45.373,81.213,18.787,98.95,384,1.000,bicubic,-42.553,-18.347,+25 -cait_s36_384,54.413,45.587,81.360,18.640,68.37,384,1.000,bicubic,-42.917,-18.170,+7 -deit3_huge_patch14_224,54.320,45.680,82.093,17.907,632.13,224,0.900,bicubic,-42.560,-17.437,+61 -volo_d1_384,54.307,45.693,80.973,19.027,26.78,384,1.000,bicubic,-42.613,-18.437,+55 -xcit_small_24_p8_384_dist,54.280,45.720,81.533,18.467,47.63,384,1.000,bicubic,-42.960,-18.067,+14 -vit_base_patch16_clip_384.laion2b_ft_in1k,54.227,45.773,80.893,19.107,86.86,384,1.000,bicubic,-43.503,-18.737,-36 -vit_medium_patch16_gap_384.in12k_ft_in1k,54.147,45.853,81.680,18.320,39.03,384,0.950,bicubic,-43.293,-17.960,-9 -resnetv2_101x3_bitm,54.027,45.973,81.027,18.973,387.93,448,1.000,bilinear,-42.963,-18.463,+39 -resnetv2_152x2_bitm,54.013,45.987,82.000,18.000,236.34,448,1.000,bilinear,-42.997,-17.590,+36 -deit3_base_patch16_384,53.440,46.560,80.560,19.440,86.88,384,1.000,bicubic,-43.580,-18.880,+34 -ig_resnext101_32x16d,53.067,46.933,76.907,23.093,194.03,224,0.875,bilinear,-43.753,-22.503,+56 -volo_d4_224,52.920,47.080,80.467,19.533,192.96,224,0.960,bicubic,-44.380,-19.033,0 -xcit_large_24_p16_384_dist,52.827,47.173,81.827,18.173,189.10,384,1.000,bicubic,-44.693,-17.653,-22 -convnext_small.fb_in22k_ft_in1k_384,52.467,47.533,80.827,19.173,50.22,384,1.000,bicubic,-45.133,-18.773,-35 -vit_base_patch32_clip_448.laion2b_ft_in12k_in1k,52.307,47.693,79.773,20.227,88.34,448,1.000,bicubic,-45.013,-19.827,-4 -maxvit_tiny_tf_384.in1k,52.133,47.867,79.800,20.200,30.98,384,1.000,bicubic,-45.167,-19.720,-3 -swin_base_patch4_window7_224,51.453,48.547,79.973,20.027,87.77,224,0.900,bicubic,-45.797,-19.517,0 -efficientnet_b5.in12k_ft_in1k,51.253,48.747,78.853,21.147,30.39,448,1.000,bicubic,-46.157,-20.747,-16 -tf_efficientnet_b4.ns_jft_in1k,51.213,48.787,79.187,20.813,19.34,380,0.922,bicubic,-45.737,-20.073,+34 -flexivit_large.1200ep_in1k,51.200,48.800,80.693,19.307,304.36,240,0.950,bicubic,-46.210,-18.847,-19 -resnetv2_152x2_bit_teacher_384,51.187,48.813,78.493,21.507,236.34,384,1.000,bicubic,-45.643,-20.957,+45 -swsl_resnext101_32x8d,51.187,48.813,78.240,21.760,88.79,224,0.875,bilinear,-46.013,-21.260,0 -convnext_small.fb_in22k_ft_in1k,51.120,48.880,80.867,19.133,50.22,288,1.000,bicubic,-46.240,-18.813,-17 -mvitv2_large,50.907,49.093,78.467,21.533,217.99,224,0.900,bicubic,-46.043,-20.933,+30 -beit_base_patch16_224.in22k_ft_in22k_in1k,50.707,49.293,79.693,20.307,86.53,224,0.900,bicubic,-46.383,-19.917,+9 -tf_efficientnetv2_l.in1k,50.680,49.320,77.613,22.387,118.52,480,1.000,bicubic,-46.790,-21.917,-30 -vit_base_patch16_384.orig_in21k_ft_in1k,50.613,49.387,78.200,21.800,86.86,384,1.000,bicubic,-46.087,-21.090,+57 -xcit_small_12_p8_384_dist,50.573,49.427,79.573,20.427,26.21,384,1.000,bicubic,-46.657,-19.907,-8 -flexivit_large.600ep_in1k,50.240,49.760,80.027,19.973,304.36,240,0.950,bicubic,-47.040,-19.563,-14 -volo_d3_224,50.240,49.760,78.173,21.827,86.33,224,0.960,bicubic,-46.850,-21.297,+6 -vit_base_patch16_clip_224.laion2b_ft_in12k_in1k,50.093,49.907,78.080,21.920,86.57,224,0.950,bicubic,-47.357,-21.460,-34 -vit_base_patch16_224.augreg2_in21k_ft_in1k,49.840,50.160,78.987,21.013,86.57,224,0.900,bicubic,-47.310,-20.553,-5 -cait_s24_384,49.733,50.267,78.733,21.267,47.06,384,1.000,bicubic,-47.337,-20.697,+8 -vit_base_patch16_clip_224.openai_ft_in12k_in1k,49.733,50.267,77.040,22.960,86.57,224,0.950,bicubic,-47.787,-22.500,-44 -xcit_medium_24_p16_384_dist,49.333,50.667,79.813,20.187,84.40,384,1.000,bicubic,-47.937,-19.647,-20 -deit_base_distilled_patch16_384,49.333,50.667,79.253,20.747,87.63,384,1.000,bicubic,-47.627,-20.227,+16 -tf_efficientnet_b8.ra_in1k,48.947,51.053,77.240,22.760,87.41,672,0.954,bicubic,-48.253,-22.260,-12 -dm_nfnet_f2,48.920,51.080,77.160,22.840,193.78,352,0.920,bicubic,-48.100,-22.230,+5 -deit3_large_patch16_224,48.627,51.373,78.160,21.840,304.37,224,0.900,bicubic,-48.313,-21.180,+18 -flexivit_large.300ep_in1k,48.587,51.413,78.667,21.333,304.36,240,0.950,bicubic,-48.663,-20.863,-22 -tf_efficientnetv2_s.in21k_ft_in1k,48.507,51.493,77.880,22.120,21.46,384,1.000,bicubic,-48.223,-21.480,+37 -deit3_medium_patch16_224_in21ft1k,48.213,51.787,77.067,22.933,38.85,224,1.000,bicubic,-48.757,-22.363,+8 -resnest269e,48.187,51.813,74.333,25.667,110.93,416,0.928,bicubic,-48.333,-25.017,+75 -xcit_large_24_p8_224_dist,48.107,51.893,79.080,20.920,188.93,224,1.000,bicubic,-48.953,-20.340,-2 -vit_base_patch32_clip_384.laion2b_ft_in12k_in1k,47.933,52.067,76.867,23.133,88.30,384,1.000,bicubic,-49.427,-22.653,-38 -regnetz_e8,47.813,52.187,76.200,23.800,57.70,320,1.000,bicubic,-49.387,-23.340,-22 -resnetv2_50x3_bitm,47.293,52.707,77.333,22.667,217.32,448,1.000,bilinear,-49.417,-22.137,+34 -vit_base_patch16_clip_224.openai_ft_in1k,47.227,52.773,77.627,22.373,86.57,224,0.900,bicubic,-49.853,-21.993,-9 -xcit_large_24_p8_224,47.173,52.827,74.400,25.600,188.93,224,1.000,bicubic,-49.237,-24.580,+78 -xcit_small_24_p16_384_dist,46.960,53.040,77.147,22.853,47.67,384,1.000,bicubic,-50.160,-22.313,-20 -tf_efficientnet_b8.ap_in1k,46.893,53.107,76.507,23.493,87.41,672,0.954,bicubic,-50.217,-23.153,-20 -convnext_large.fb_in1k,46.840,53.160,76.613,23.387,197.77,288,1.000,bicubic,-50.260,-22.837,-19 -efficientnetv2_rw_m.agc_in1k,46.280,53.720,75.707,24.293,53.24,416,1.000,bicubic,-50.700,-23.833,-4 -swinv2_base_window16_256,46.240,53.760,75.173,24.827,87.92,256,0.900,bicubic,-50.510,-24.177,+23 -swsl_resnext101_32x16d,46.200,53.800,72.200,27.800,194.03,224,0.875,bilinear,-50.400,-27.180,+49 -volo_d2_224,46.080,53.920,75.253,24.747,58.68,224,0.960,bicubic,-50.910,-24.137,-8 -vit_small_patch16_384.augreg_in21k_ft_in1k,45.933,54.067,76.720,23.280,22.20,384,1.000,bicubic,-50.767,-22.710,+28 -ecaresnet269d,45.893,54.107,75.133,24.867,102.09,352,1.000,bicubic,-51.187,-24.357,-18 -vit_small_r26_s32_384.augreg_in21k_ft_in1k,45.720,54.280,76.067,23.933,36.47,384,1.000,bicubic,-50.960,-23.283,+33 -tf_efficientnet_b7.ap_in1k,45.373,54.627,74.213,25.787,66.35,600,0.949,bicubic,-51.827,-25.357,-37 -dm_nfnet_f1,45.333,54.667,74.107,25.893,132.63,320,0.910,bicubic,-51.587,-25.413,-1 -ig_resnext101_32x8d,45.320,54.680,70.867,29.133,88.79,224,0.875,bilinear,-51.000,-28.563,+80 -xcit_medium_24_p8_224_dist,45.213,54.787,76.720,23.280,84.32,224,1.000,bicubic,-51.707,-22.670,-2 -eca_nfnet_l2,44.960,55.040,75.893,24.107,56.72,384,1.000,bicubic,-52.130,-23.617,-29 -maxxvit_rmlp_small_rw_256,44.547,55.453,75.053,24.947,66.01,256,0.950,bicubic,-52.263,-24.327,+4 -crossvit_18_dagger_408,44.293,55.707,73.840,26.160,44.61,408,1.000,bicubic,-52.237,-25.480,+51 -resnest200e,44.147,55.853,73.467,26.533,70.20,320,0.909,bicubic,-52.463,-25.883,+36 -cait_xs24_384,43.947,56.053,75.187,24.813,26.67,384,1.000,bicubic,-52.603,-24.233,+43 -seresnextaa101d_32x8d,43.933,56.067,73.387,26.613,93.59,288,1.000,bicubic,-53.017,-26.003,-14 -mvitv2_base,43.747,56.253,74.520,25.480,51.47,224,0.900,bicubic,-53.023,-24.930,+3 -resnetrs200,43.733,56.267,72.827,27.173,93.21,320,1.000,bicubic,-52.967,-26.683,+16 -tresnet_xl_448,43.480,56.520,72.453,27.547,78.44,448,0.875,bilinear,-52.490,-26.677,+124 -xcit_small_12_p16_384_dist,43.240,56.760,73.880,26.120,26.25,384,1.000,bicubic,-53.690,-25.520,-16 -vit_base_patch16_224.augreg_in21k_ft_in1k,43.240,56.760,72.920,27.080,86.57,224,0.900,bicubic,-53.640,-26.560,-10 -resnetrs420,43.147,56.853,70.453,29.547,191.89,416,1.000,bicubic,-53.763,-29.007,-13 -xcit_medium_24_p8_224,43.093,56.907,70.347,29.653,84.32,224,1.000,bicubic,-53.017,-28.813,+98 -vit_base_patch32_clip_384.openai_ft_in12k_in1k,43.040,56.960,73.227,26.773,88.30,384,0.950,bicubic,-54.070,-26.273,-45 -coatnet_rmlp_2_rw_224,43.000,57.000,71.680,28.320,73.88,224,0.950,bicubic,-53.540,-27.590,+37 -tf_efficientnet_b7.ra_in1k,42.960,57.040,73.133,26.867,66.35,600,0.949,bicubic,-54.050,-26.387,-33 -tf_efficientnetv2_m.in1k,42.867,57.133,72.627,27.373,54.14,480,1.000,bicubic,-54.343,-26.903,-59 -vit_medium_patch16_gap_256.in12k_ft_in1k,42.693,57.307,74.320,25.680,38.86,256,0.950,bicubic,-53.967,-25.010,+15 -gcvit_base,42.507,57.493,73.813,26.187,90.32,224,0.875,bicubic,-54.063,-25.417,+27 -xcit_tiny_24_p8_384_dist,42.453,57.547,72.880,27.120,12.11,384,1.000,bicubic,-54.097,-26.440,+29 -swinv2_small_window16_256,42.320,57.680,72.907,27.093,49.73,256,0.900,bicubic,-54.150,-26.293,+36 -maxvit_rmlp_small_rw_224,42.240,57.760,72.333,27.667,64.90,224,0.900,bicubic,-54.350,-26.937,+22 -convnext_base.fb_in1k,42.000,58.000,73.973,26.027,88.59,288,1.000,bicubic,-54.820,-25.617,-18 -maxvit_base_tf_224.in1k,41.947,58.053,70.107,29.893,119.47,224,0.950,bicubic,-55.003,-29.473,-31 -crossvit_15_dagger_408,41.907,58.093,72.067,27.933,28.50,408,1.000,bicubic,-54.483,-27.283,+42 -xcit_small_24_p8_224_dist,41.893,58.107,73.720,26.280,47.63,224,1.000,bicubic,-54.977,-25.760,-24 -maxvit_large_tf_224.in1k,41.840,58.160,68.613,31.387,211.79,224,0.950,bicubic,-55.120,-30.637,-38 -xcit_small_24_p8_224,41.760,58.240,71.013,28.987,47.63,224,1.000,bicubic,-54.640,-28.137,+37 -vit_large_r50_s32_224.augreg_in21k_ft_in1k,41.640,58.360,70.227,29.773,328.99,224,0.900,bicubic,-55.150,-29.123,-21 -vit_base_patch16_clip_224.laion2b_ft_in1k,41.573,58.427,73.627,26.373,86.57,224,1.000,bicubic,-55.557,-25.833,-64 -swsl_resnext101_32x4d,41.560,58.440,71.760,28.240,44.18,224,0.875,bilinear,-54.860,-27.710,+30 -swinv2_base_window8_256,41.507,58.493,72.440,27.560,87.92,256,0.900,bicubic,-55.033,-26.920,+19 -deit3_small_patch16_224_in21ft1k,41.227,58.773,71.920,28.080,22.06,224,1.000,bicubic,-55.433,-27.590,+1 -seresnext101d_32x8d,41.173,58.827,70.853,29.147,93.59,288,1.000,bicubic,-55.557,-28.567,-18 -maxvit_rmlp_tiny_rw_256,41.160,58.840,71.213,28.787,29.15,256,0.950,bicubic,-55.250,-28.177,+27 -convnext_tiny.fb_in22k_ft_in1k_384,41.013,58.987,72.507,27.493,28.59,384,1.000,bicubic,-56.067,-26.963,-61 -tf_efficientnet_b6.ap_in1k,40.800,59.200,71.627,28.373,43.04,528,0.942,bicubic,-56.280,-27.883,-63 -flexivit_base.1200ep_in1k,40.613,59.387,72.320,27.680,86.59,240,0.950,bicubic,-56.147,-27.050,-26 -resmlp_big_24_224_in22ft1k,40.373,59.627,74.760,25.240,129.14,224,0.875,bicubic,-56.247,-24.510,-3 -deit3_small_patch16_384,40.320,59.680,70.293,29.707,22.21,384,1.000,bicubic,-55.880,-28.997,+52 -tresnet_l_448,40.200,59.800,69.893,30.107,55.99,448,0.875,bilinear,-55.660,-29.227,+107 -deit_base_patch16_384,40.173,59.827,70.760,29.240,86.86,384,1.000,bicubic,-55.977,-28.420,+61 -regnetz_d8_evos,40.080,59.920,72.200,27.800,23.46,320,0.950,bicubic,-56.530,-27.250,-4 -regnetz_040h,40.013,59.987,71.320,28.680,28.94,320,1.000,bicubic,-56.697,-28.180,-25 -resnetrs350,39.960,60.040,68.907,31.093,163.96,384,1.000,bicubic,-56.800,-30.453,-34 -regnetz_d8,39.933,60.067,71.640,28.360,23.37,320,1.000,bicubic,-56.687,-27.810,-9 -flexivit_base.600ep_in1k,39.907,60.093,71.867,28.133,86.59,240,0.950,bicubic,-56.723,-27.463,-12 -swin_s3_base_224,39.787,60.213,70.467,29.533,71.13,224,0.900,bicubic,-56.463,-28.673,+38 -seresnext101_32x8d,39.587,60.413,69.440,30.560,93.57,288,1.000,bicubic,-57.173,-29.900,-36 -flexivit_base.300ep_in1k,39.547,60.453,70.987,29.013,86.59,240,0.950,bicubic,-57.073,-28.523,-12 -gcvit_small,39.427,60.573,70.520,29.480,51.09,224,0.875,bicubic,-56.873,-28.620,+30 -deit3_base_patch16_224,39.200,60.800,71.000,29.000,86.59,224,0.900,bicubic,-57.100,-28.180,+28 -volo_d1_224,38.960,61.040,70.240,29.760,26.63,224,0.960,bicubic,-57.370,-28.940,+24 -vit_large_patch32_384.orig_in21k_ft_in1k,38.933,61.067,68.920,31.080,306.63,384,1.000,bicubic,-56.897,-30.230,+96 -resnetv2_101x1_bitm,38.920,61.080,71.040,28.960,44.54,448,1.000,bilinear,-57.180,-28.210,+57 -regnetz_040,38.760,61.240,70.400,29.600,27.12,320,1.000,bicubic,-57.950,-29.150,-36 -mvitv2_small,38.747,61.253,70.413,29.587,34.87,224,0.900,bicubic,-57.613,-28.817,+14 -xcit_small_12_p8_224_dist,38.200,61.800,71.293,28.707,26.21,224,1.000,bicubic,-58.490,-28.077,-32 -resnet200d,38.147,61.853,68.613,31.387,64.69,320,1.000,bicubic,-58.573,-30.717,-42 -swinv2_small_window8_256,37.773,62.227,69.853,30.147,49.73,256,0.900,bicubic,-58.497,-29.357,+23 -xcit_large_24_p16_224_dist,37.693,62.307,71.587,28.413,189.10,224,1.000,bicubic,-59.107,-27.763,-54 -seresnet152d,37.640,62.360,69.480,30.520,66.84,320,1.000,bicubic,-59.130,-29.790,-53 -eca_nfnet_l1,37.533,62.467,70.947,29.053,41.41,320,1.000,bicubic,-59.167,-28.533,-38 -maxvit_small_tf_224.in1k,37.520,62.480,68.040,31.960,68.93,224,0.950,bicubic,-59.170,-31.310,-37 -xcit_small_12_p8_224,37.507,62.493,68.173,31.827,26.21,224,1.000,bicubic,-58.603,-30.717,+45 -twins_svt_large,37.200,62.800,69.227,30.773,99.27,224,0.900,bicubic,-59.070,-29.943,+18 -regnetz_d32,37.160,62.840,70.467,29.533,27.58,320,0.950,bicubic,-59.440,-29.053,-25 -vit_base_patch32_384.augreg_in21k_ft_in1k,37.080,62.920,69.760,30.240,88.30,384,1.000,bicubic,-59.410,-29.650,-12 -regnety_064,36.973,63.027,68.160,31.840,30.58,288,1.000,bicubic,-59.387,-31.010,+1 -swin_s3_small_224,36.880,63.120,68.240,31.760,49.74,224,0.900,bicubic,-59.340,-30.990,+19 -efficientnetv2_rw_s.ra2_in1k,36.787,63.213,68.320,31.680,23.94,384,1.000,bicubic,-59.753,-30.780,-21 -resnext101_64x4d,36.787,63.213,66.680,33.320,83.46,288,1.000,bicubic,-59.293,-32.560,+44 -regnety_160,36.747,63.253,69.107,30.893,83.59,288,1.000,bicubic,-59.603,-30.223,0 -convnext_small.fb_in1k,36.667,63.333,71.093,28.907,50.22,288,1.000,bicubic,-59.893,-28.247,-27 -pvt_v2_b4,36.640,63.360,68.667,31.333,62.56,224,0.900,bicubic,-59.690,-30.643,+3 -pvt_v2_b5,36.280,63.720,68.453,31.547,81.96,224,0.900,bicubic,-60.080,-30.937,-4 -cait_xxs36_384,36.227,63.773,67.800,32.200,17.37,384,1.000,bicubic,-59.623,-31.290,+72 -jx_nest_base,36.080,63.920,66.760,33.240,67.72,224,0.875,bicubic,-60.170,-32.450,+7 -coatnet_1_rw_224,36.040,63.960,67.080,32.920,41.72,224,0.950,bicubic,-59.990,-32.070,+46 -maxvit_tiny_rw_224,35.920,64.080,65.547,34.453,29.06,224,0.950,bicubic,-60.320,-33.573,+7 -cs3se_edgenet_x,35.653,64.347,67.787,32.213,50.72,320,1.000,bicubic,-60.787,-31.613,-21 -pit_b_distilled_224,35.627,64.373,69.120,30.880,74.79,224,0.900,bicubic,-61.053,-30.450,-51 -regnety_080,35.560,64.440,67.240,32.760,39.18,288,1.000,bicubic,-60.970,-32.020,-30 -sequencer2d_l,35.547,64.453,67.347,32.653,54.30,224,0.875,bicubic,-60.593,-31.863,+21 -tf_efficientnet_b3.ns_jft_in1k,35.520,64.480,67.773,32.227,12.23,300,0.904,bicubic,-60.870,-31.387,-19 -tf_efficientnet_b6.aa_in1k,35.213,64.787,67.720,32.280,43.04,528,0.942,bicubic,-61.457,-31.650,-54 -resnetrs270,35.013,64.987,65.480,34.520,129.86,352,1.000,bicubic,-61.677,-33.910,-59 -gcvit_tiny,34.907,65.093,66.853,33.147,28.22,224,0.875,bicubic,-61.263,-32.387,+8 -tf_efficientnet_b5.ap_in1k,34.787,65.213,67.493,32.507,30.39,456,0.934,bicubic,-61.893,-31.967,-59 -xcit_tiny_12_p8_384_dist,34.653,65.347,66.280,33.720,6.71,384,1.000,bicubic,-61.427,-32.860,+27 -vit_base_patch16_224_miil.in21k_ft_in1k,34.507,65.493,65.000,35.000,86.54,224,0.875,bilinear,-61.953,-34.300,-33 -xcit_medium_24_p16_224_dist,34.373,65.627,67.920,32.080,84.40,224,1.000,bicubic,-62.217,-31.190,-49 -resnet152d,34.320,65.680,65.907,34.093,60.21,320,1.000,bicubic,-62.040,-33.293,-24 -deit3_medium_patch16_224,34.187,65.813,66.027,33.973,38.85,224,0.900,bicubic,-61.883,-33.173,+24 -tresnet_m_448,34.107,65.893,64.493,35.507,31.39,448,0.875,bilinear,-60.883,-34.487,+176 -resmlp_big_24_distilled_224,34.067,65.933,69.600,30.400,129.14,224,0.875,bicubic,-62.383,-29.710,-37 -regnetv_064,33.973,66.027,67.867,32.133,30.58,288,1.000,bicubic,-62.437,-31.493,-34 -xcit_tiny_24_p16_384_dist,33.827,66.173,65.400,34.600,12.12,384,1.000,bicubic,-62.123,-33.760,+37 -pvt_v2_b3,33.653,66.347,67.653,32.347,45.24,224,0.900,bicubic,-62.337,-31.537,+29 -coatnet_rmlp_1_rw_224,33.533,66.467,65.627,34.373,41.69,224,0.950,bicubic,-62.417,-33.593,+37 -twins_pcpvt_large,33.387,66.613,67.933,32.067,60.99,224,0.900,bicubic,-62.763,-31.267,+1 -twins_svt_base,33.173,66.827,65.773,34.227,56.07,224,0.900,bicubic,-62.987,-33.287,-4 -pit_b_224,33.173,66.827,62.320,37.680,73.76,224,0.900,bicubic,-62.467,-36.670,+70 -resnetv2_152x2_bit_teacher,33.053,66.947,64.267,35.733,236.34,224,0.875,bicubic,-63.047,-35.013,+9 -swsl_resnext50_32x4d,33.013,66.987,65.067,34.933,25.03,224,0.875,bilinear,-62.857,-34.003,+38 -mobilevitv2_200_384_in22ft1k,32.987,67.013,65.507,34.493,18.45,384,1.000,bicubic,-63.053,-33.573,+14 -swinv2_cr_small_ns_224,32.933,67.067,65.960,34.040,49.70,224,0.900,bicubic,-63.247,-33.370,-13 -xception65,32.747,67.253,62.960,37.040,39.92,299,0.940,bicubic,-63.603,-36.280,-33 -xcit_large_24_p16_224,32.733,67.267,62.107,37.893,189.10,224,1.000,bicubic,-62.687,-36.733,+102 -swin_small_patch4_window7_224,32.600,67.400,65.440,34.560,49.61,224,0.900,bicubic,-63.310,-33.580,+29 -ssl_resnext101_32x16d,32.600,67.400,64.000,36.000,194.03,224,0.875,bilinear,-63.200,-35.100,+43 -mobilevitv2_175_384_in22ft1k,32.467,67.533,64.680,35.320,14.25,384,1.000,bicubic,-63.713,-34.460,-17 -tf_efficientnetv2_b3.in21k_ft_in1k,32.373,67.627,66.107,33.893,14.36,300,0.900,bicubic,-63.847,-32.973,-25 -jx_nest_small,32.280,67.720,63.760,36.240,38.35,224,0.875,bicubic,-63.680,-35.270,+20 -convnext_tiny_hnf.a2h_in1k,32.227,67.773,62.853,37.147,28.59,288,1.000,bicubic,-63.793,-36.337,+12 -vit_base_patch16_224.orig_in21k_ft_in1k,32.053,67.947,61.573,38.427,86.57,224,0.900,bicubic,-63.277,-37.427,+105 -maxvit_nano_rw_256,31.853,68.147,64.187,35.813,15.45,256,0.950,bicubic,-64.077,-34.953,+22 -tf_efficientnet_b5.ra_in1k,31.840,68.160,65.293,34.707,30.39,456,0.934,bicubic,-64.510,-34.017,-44 -swinv2_tiny_window16_256,31.707,68.293,65.613,34.387,28.35,256,0.900,bicubic,-64.223,-33.387,+19 -swinv2_cr_small_224,31.693,68.307,62.520,37.480,49.70,224,0.900,bicubic,-64.377,-36.350,-1 -regnetz_c16_evos,31.493,68.507,66.280,33.720,13.49,320,0.950,bicubic,-64.627,-32.960,-14 -maxvit_rmlp_nano_rw_256,31.440,68.560,63.373,36.627,15.50,256,0.950,bicubic,-64.540,-35.597,+9 -resnest101e,31.413,68.587,64.360,35.640,48.28,256,0.875,bilinear,-64.447,-34.820,+22 -maxxvit_rmlp_nano_rw_256,31.360,68.640,64.440,35.560,16.78,256,0.950,bicubic,-64.670,-34.610,-4 -crossvit_base_240,31.360,68.640,61.293,38.707,105.03,240,0.875,bicubic,-64.170,-37.567,+63 -regnetv_040,31.333,68.667,64.693,35.307,20.64,288,1.000,bicubic,-64.847,-34.437,-33 -cait_s24_224,31.200,68.800,64.560,35.440,46.92,224,1.000,bicubic,-65.180,-34.590,-59 -convnext_nano.in12k_ft_in1k,31.107,68.893,67.333,32.667,15.59,288,1.000,bicubic,-64.873,-31.987,+2 -efficientnet_b4.ra2_in1k,30.867,69.133,64.600,35.400,19.34,384,1.000,bicubic,-65.283,-34.650,-28 -regnety_040,30.613,69.387,63.840,36.160,20.65,288,1.000,bicubic,-65.407,-35.230,-4 -sequencer2d_m,30.600,69.400,62.920,37.080,38.31,224,0.875,bicubic,-65.210,-36.290,+21 -maxvit_tiny_tf_224.in1k,30.587,69.413,62.760,37.240,30.92,224,0.950,bicubic,-65.513,-36.520,-19 -crossvit_18_240,30.587,69.413,61.960,38.040,43.27,240,0.875,bicubic,-64.853,-37.090,+72 -vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,30.573,69.427,62.080,37.920,88.22,224,0.900,bicubic,-65.567,-37.080,-30 -dm_nfnet_f0,30.547,69.453,62.867,37.133,71.49,256,0.900,bicubic,-65.603,-36.273,-35 -crossvit_18_dagger_240,30.480,69.520,61.813,38.187,44.27,240,0.875,bicubic,-65.090,-37.247,+42 -xcit_small_24_p16_224_dist,30.440,69.560,64.720,35.280,47.67,224,1.000,bicubic,-65.770,-34.460,-47 -xcit_medium_24_p16_224,30.187,69.813,59.347,40.653,84.40,224,1.000,bicubic,-65.343,-39.423,+51 -mvitv2_tiny,30.160,69.840,64.333,35.667,24.17,224,0.900,bicubic,-65.710,-34.917,+5 -cait_xxs24_384,30.027,69.973,63.933,36.067,12.03,384,1.000,bicubic,-65.233,-35.027,+87 -twins_pcpvt_base,29.960,70.040,64.587,35.413,43.83,224,0.900,bicubic,-65.830,-34.543,+15 -convnext_tiny.fb_in1k,29.933,70.067,65.107,34.893,28.59,288,1.000,bicubic,-65.857,-34.053,+13 -swsl_resnet50,29.867,70.133,63.853,36.147,25.56,224,0.875,bilinear,-65.543,-35.437,+69 -cs3sedarknet_x,29.827,70.173,61.987,38.013,35.40,288,1.000,bicubic,-66.203,-37.273,-20 -mobilevitv2_150_384_in22ft1k,29.787,70.213,62.187,37.813,10.59,384,1.000,bicubic,-65.913,-36.863,+19 -vit_relpos_base_patch16_clsgap_224.sw_in1k,29.720,70.280,62.893,37.107,86.43,224,0.900,bicubic,-66.040,-36.147,+13 -deit_base_distilled_patch16_224,29.600,70.400,64.453,35.547,87.34,224,0.900,bicubic,-66.490,-34.737,-32 -convit_base,29.520,70.480,61.787,38.213,86.54,224,0.875,bicubic,-66.030,-37.203,+34 -vit_relpos_medium_patch16_cls_224.sw_in1k,29.347,70.653,60.653,39.347,38.76,224,0.900,bicubic,-66.133,-38.297,+49 -tf_efficientnetv2_s.in1k,29.040,70.960,61.213,38.787,21.46,384,1.000,bicubic,-67.300,-37.987,-75 -ssl_resnext101_32x8d,29.040,70.960,60.973,39.027,88.79,224,0.875,bilinear,-66.430,-38.137,+49 -edgenext_base,29.027,70.973,64.920,35.080,18.51,320,1.000,bicubic,-67.673,-34.450,-129 -convnext_tiny.fb_in22k_ft_in1k,29.000,71.000,55.640,44.360,28.59,288,1.000,bicubic,-65.860,-43.150,+131 -resnet101d,28.987,71.013,62.053,37.947,44.57,320,1.000,bicubic,-67.303,-37.177,-72 -xception65p,28.987,71.013,59.933,40.067,39.82,299,0.940,bicubic,-67.223,-39.277,-64 -regnetz_c16,28.920,71.080,63.333,36.667,13.46,320,0.940,bicubic,-66.880,-35.847,-2 -resnetrs152,28.920,71.080,60.520,39.480,86.62,320,1.000,bicubic,-67.660,-38.720,-112 -vit_relpos_medium_patch16_224.sw_in1k,28.853,71.147,61.987,38.013,38.75,224,0.900,bicubic,-66.607,-36.973,+42 -xcit_tiny_24_p8_224_dist,28.720,71.280,61.413,38.587,12.11,224,1.000,bicubic,-67.090,-37.697,-8 -xcit_tiny_24_p8_224,28.707,71.293,60.453,39.547,12.11,224,1.000,bicubic,-66.963,-38.597,+9 -cs3edgenet_x,28.533,71.467,61.147,38.853,47.82,288,1.000,bicubic,-67.497,-37.963,-39 -crossvit_15_dagger_240,28.533,71.467,60.293,39.707,28.21,240,0.875,bicubic,-67.157,-38.537,+5 -pvt_v2_b2_li,28.493,71.507,62.040,37.960,22.55,224,0.900,bicubic,-67.057,-36.830,+18 -xcit_small_24_p16_224,28.333,71.667,58.813,41.187,47.67,224,1.000,bicubic,-67.197,-39.927,+24 -efficientformer_l7,28.027,71.973,62.987,37.013,82.23,224,0.950,bicubic,-68.083,-36.283,-56 -flexivit_small.1200ep_in1k,27.840,72.160,58.667,41.333,22.06,240,0.950,bicubic,-67.720,-40.453,+13 -pvt_v2_b2,27.640,72.360,60.707,39.293,25.36,224,0.900,bicubic,-67.860,-38.293,+28 -vit_base_patch16_384.augreg_in1k,27.560,72.440,57.280,42.720,86.86,384,1.000,bicubic,-67.380,-41.610,+107 -coat_lite_small,27.547,72.453,58.547,41.453,19.84,224,0.900,bicubic,-67.993,-40.313,+14 -deit_base_patch16_224,27.440,72.560,58.893,41.107,86.57,224,0.900,bicubic,-68.000,-40.237,+33 -vit_relpos_base_patch16_224.sw_in1k,27.333,72.667,61.133,38.867,86.43,224,0.900,bicubic,-68.227,-37.897,+9 -resnetv2_50x1_bitm,27.293,72.707,62.853,37.147,25.55,448,1.000,bilinear,-67.717,-36.037,+94 -coatnet_bn_0_rw_224,27.200,72.800,61.280,38.720,27.44,224,0.950,bicubic,-68.500,-37.860,-8 -xcit_small_12_p16_224_dist,27.120,72.880,59.800,40.200,26.25,224,1.000,bicubic,-68.910,-39.340,-52 -vit_small_patch16_224.augreg_in21k_ft_in1k,27.053,72.947,59.213,40.787,22.05,224,0.900,bicubic,-68.317,-39.717,+42 -coatnet_0_rw_224,27.027,72.973,59.387,40.613,27.44,224,0.950,bicubic,-68.403,-39.653,+33 -flexivit_small.600ep_in1k,26.933,73.067,57.280,42.720,22.06,240,0.950,bicubic,-68.747,-41.770,-10 -sequencer2d_s,26.827,73.173,60.587,39.413,27.65,224,0.875,bicubic,-69.163,-38.463,-49 -tresnet_v2_l,26.760,73.240,59.800,40.200,46.17,224,0.875,bilinear,-69.400,-39.440,-81 -mobilevitv2_200_in22ft1k,26.667,73.333,59.400,40.600,18.45,256,0.888,bicubic,-68.493,-39.540,+61 -gcvit_xtiny,26.627,73.373,60.867,39.133,19.98,224,0.875,bicubic,-68.953,-38.173,-4 -swin_s3_tiny_224,26.507,73.493,60.320,39.680,28.33,224,0.900,bicubic,-68.653,-38.610,+58 -coatnet_rmlp_nano_rw_224,26.440,73.560,60.520,39.480,15.15,224,0.900,bicubic,-68.990,-38.510,+25 -swinv2_tiny_window8_256,26.413,73.587,60.573,39.427,28.35,256,0.900,bicubic,-69.087,-38.387,+10 -tf_efficientnet_b4.aa_in1k,26.293,73.707,60.107,39.893,19.34,380,0.922,bicubic,-69.607,-39.063,-44 -tf_efficientnet_b4.ap_in1k,26.240,73.760,60.227,39.773,19.34,380,0.922,bicubic,-69.920,-39.053,-89 -nfnet_l0,26.213,73.787,61.720,38.280,35.07,288,1.000,bicubic,-69.907,-37.640,-79 -regnety_032,26.213,73.787,60.987,39.013,19.44,288,1.000,bicubic,-69.757,-38.203,-56 -deit3_small_patch16_224,26.187,73.813,54.440,45.560,22.06,224,0.900,bicubic,-68.813,-44.590,+81 -coatnext_nano_rw_224,26.173,73.827,59.560,40.440,14.70,224,0.900,bicubic,-69.257,-39.440,+17 -ecaresnet50t,26.133,73.867,60.027,39.973,25.57,320,0.950,bicubic,-69.377,-39.093,+1 -fbnetv3_g.ra2_in1k,26.107,73.893,61.053,38.947,16.62,288,0.950,bilinear,-69.413,-37.937,-2 -ecaresnet101d,26.027,73.973,58.987,41.013,44.57,224,0.875,bicubic,-69.503,-39.833,-9 -mobilevitv2_175_in22ft1k,26.013,73.987,58.480,41.520,14.25,256,0.888,bicubic,-69.217,-40.510,+38 -flexivit_small.300ep_in1k,25.933,74.067,57.053,42.947,22.06,240,0.950,bicubic,-69.567,-42.067,+1 -visformer_small,25.840,74.160,58.907,41.093,40.22,224,0.900,bicubic,-69.650,-39.993,+1 -vit_small_patch16_384.augreg_in1k,25.813,74.187,57.613,42.387,22.20,384,1.000,bicubic,-69.477,-41.387,+28 -halo2botnet50ts_256,25.587,74.413,56.893,43.107,22.64,256,0.950,bicubic,-69.803,-42.117,+16 -coat_mini,25.520,74.480,57.693,42.307,10.34,224,0.900,bicubic,-69.450,-41.087,+73 -vit_relpos_medium_patch16_rpn_224.sw_in1k,25.453,74.547,58.640,41.360,38.73,224,0.900,bicubic,-70.057,-40.440,-8 -crossvit_15_240,25.453,74.547,57.560,42.440,27.53,240,0.875,bicubic,-69.697,-41.370,+44 -vit_srelpos_medium_patch16_224.sw_in1k,25.400,74.600,58.453,41.547,38.74,224,0.900,bicubic,-69.830,-40.337,+29 -xcit_small_12_p16_224,25.133,74.867,56.040,43.960,26.25,224,1.000,bicubic,-70.287,-42.570,+7 -resnetv2_50x1_bit_distilled,25.107,74.893,59.613,40.387,25.55,224,0.875,bicubic,-71.023,-39.667,-98 -convit_small,25.093,74.907,57.280,42.720,27.78,224,0.875,bicubic,-70.107,-41.620,+30 -vit_base_patch16_rpn_224.in1k,25.080,74.920,58.653,41.347,86.54,224,0.900,bicubic,-70.300,-40.197,+9 -gc_efficientnetv2_rw_t.agc_in1k,25.053,74.947,57.707,42.293,13.68,288,1.000,bicubic,-70.687,-41.313,-47 -eca_nfnet_l0,24.827,75.173,60.093,39.907,24.14,288,1.000,bicubic,-71.123,-39.117,-72 -xception41p,24.773,75.227,55.227,44.773,26.91,299,0.940,bicubic,-70.747,-43.693,-18 -tnt_s_patch16_224,24.733,75.267,58.187,41.813,23.76,224,0.900,bicubic,-70.307,-40.773,+55 -convnext_nano_ols.d1h_in1k,24.520,75.480,57.053,42.947,15.65,288,1.000,bicubic,-70.610,-41.967,+37 -resnetv2_50d_evos,24.480,75.520,56.387,43.613,25.59,288,0.950,bicubic,-71.130,-42.643,-37 -xcit_tiny_12_p16_384_dist,24.453,75.547,57.080,42.920,6.72,384,1.000,bicubic,-70.677,-41.640,+34 -cs3darknet_x,24.373,75.627,57.813,42.187,35.05,288,1.000,bicubic,-71.487,-41.397,-68 -efficientnetv2_rw_t.ra2_in1k,24.333,75.667,57.400,42.600,13.65,288,1.000,bicubic,-71.277,-41.670,-41 -ssl_resnext101_32x4d,24.173,75.827,57.413,42.587,44.18,224,0.875,bilinear,-71.267,-41.377,-15 -swinv2_cr_tiny_ns_224,24.133,75.867,58.213,41.787,28.33,224,0.900,bicubic,-71.237,-40.937,+1 -twins_svt_small,24.133,75.867,57.147,42.853,24.06,224,0.900,bicubic,-71.067,-41.733,+18 -coatnet_nano_rw_224,24.120,75.880,57.173,42.827,15.14,224,0.900,bicubic,-71.130,-41.807,+10 -vit_small_r26_s32_224.augreg_in21k_ft_in1k,24.080,75.920,56.213,43.787,36.43,224,0.900,bicubic,-71.550,-42.977,-47 -vit_relpos_small_patch16_224.sw_in1k,24.040,75.960,58.173,41.827,21.98,224,0.900,bicubic,-71.120,-40.707,+16 -poolformer_m48,24.040,75.960,57.293,42.707,73.47,224,0.950,bicubic,-71.600,-41.647,-51 -mobilevitv2_150_in22ft1k,24.040,75.960,55.933,44.067,10.59,256,0.888,bicubic,-71.100,-42.927,+24 -tf_efficientnet_b2.ns_jft_in1k,24.013,75.987,57.293,42.707,9.11,260,0.890,bicubic,-71.757,-41.697,-67 -convnext_nano.d1h_in1k,24.000,76.000,56.187,43.813,15.59,288,1.000,bicubic,-71.350,-42.673,-6 -cs3sedarknet_l,23.973,76.027,58.720,41.280,21.91,288,0.950,bicubic,-71.337,-40.400,-3 -resnetv2_50d_gn,23.920,76.080,56.320,43.680,25.57,288,0.950,bicubic,-71.510,-42.400,-22 -vit_small_patch32_384.augreg_in21k_ft_in1k,23.773,76.227,57.307,42.693,22.92,384,1.000,bicubic,-71.277,-41.683,+33 -lamhalobotnet50ts_256,23.600,76.400,55.267,44.733,22.57,256,0.950,bicubic,-71.560,-43.553,+13 -resnet152,23.560,76.440,53.653,46.347,60.19,224,0.950,bicubic,-72.320,-45.417,-88 -nasnetalarge,23.493,76.507,55.027,44.973,88.75,331,0.911,bicubic,-72.187,-43.903,-63 -crossvit_small_240,23.453,76.547,56.827,43.173,26.86,240,0.875,bicubic,-71.377,-42.193,+55 -levit_384,23.440,76.560,56.387,43.613,39.13,224,0.900,bicubic,-72.090,-42.743,-48 -pnasnet5large,23.333,76.667,53.640,46.360,86.06,331,0.911,bicubic,-72.377,-45.280,-71 -efficientnet_b3.ra2_in1k,23.213,76.787,55.960,44.040,12.23,320,1.000,bicubic,-72.497,-43.080,-73 -jx_nest_tiny,23.200,76.800,56.227,43.773,17.06,224,0.875,bicubic,-72.050,-42.643,-8 -efficientformer_l3,23.160,76.840,57.120,42.880,31.41,224,0.950,bicubic,-72.440,-42.040,-61 -resnet61q,22.987,77.013,55.760,44.240,36.85,288,1.000,bicubic,-72.783,-43.360,-80 -vit_srelpos_small_patch16_224.sw_in1k,22.920,77.080,55.720,44.280,21.97,224,0.900,bicubic,-72.120,-43.210,+23 -vit_base_patch32_clip_224.laion2b_ft_in1k,22.867,77.133,54.973,45.027,88.22,224,0.900,bicubic,-72.663,-44.077,-54 -resmlp_big_24_224,22.853,77.147,54.307,45.693,129.14,224,0.875,bicubic,-71.807,-44.173,+62 -halonet50ts,22.813,77.187,54.013,45.987,22.73,256,0.940,bicubic,-72.287,-44.767,+10 -twins_pcpvt_small,22.720,77.280,56.853,43.147,24.11,224,0.900,bicubic,-72.490,-42.027,-9 -vit_base_patch32_clip_224.openai_ft_in1k,22.573,77.427,55.293,44.707,88.22,224,0.900,bicubic,-72.547,-43.687,+7 -poolformer_m36,22.520,77.480,55.253,44.747,56.17,224,0.950,bicubic,-72.860,-43.677,-29 -vit_base_patch32_224.augreg_in21k_ft_in1k,22.400,77.600,53.933,46.067,88.22,224,0.900,bicubic,-72.600,-44.527,+23 -pit_s_distilled_224,22.360,77.640,57.120,42.880,24.04,224,0.900,bicubic,-72.880,-41.930,-17 -xcit_tiny_12_p8_224_dist,22.080,77.920,54.307,45.693,6.71,224,1.000,bicubic,-73.000,-44.603,+9 -tresnet_m,21.680,78.320,53.840,46.160,31.39,224,0.875,bilinear,-74.040,-45.190,-88 -maxvit_rmlp_pico_rw_256,21.253,78.747,51.880,48.120,7.52,256,0.950,bicubic,-73.377,-46.880,+56 -convmixer_1536_20,21.200,78.800,55.560,44.440,51.63,224,0.960,bicubic,-73.860,-43.470,+9 -swin_tiny_patch4_window7_224,21.173,78.827,55.973,44.027,28.29,224,0.900,bicubic,-73.967,-42.877,-6 -pit_s_224,21.080,78.920,53.573,46.427,23.46,224,0.900,bicubic,-73.510,-45.137,+58 -xcit_tiny_12_p8_224,21.027,78.973,52.453,47.547,6.71,224,1.000,bicubic,-73.653,-46.377,+45 -resnet51q,20.960,79.040,55.720,44.280,35.70,288,1.000,bilinear,-74.900,-43.400,-109 -regnetz_b16,20.960,79.040,53.853,46.147,9.72,288,0.940,bicubic,-74.110,-44.977,+3 -resnetrs101,20.893,79.107,52.813,47.187,63.62,288,0.940,bicubic,-74.537,-46.177,-51 -deit_small_distilled_patch16_224,20.707,79.293,55.133,44.867,22.44,224,0.900,bicubic,-74.003,-43.897,+39 -sebotnet33ts_256,20.707,79.293,48.800,51.200,13.70,256,0.940,bicubic,-73.883,-49.700,+53 -resnest50d_4s2x40d,20.387,79.613,52.800,47.200,30.42,224,0.875,bicubic,-74.573,-46.270,+13 -resnetaa50,20.093,79.907,51.920,48.080,25.56,288,1.000,bicubic,-75.117,-47.010,-28 -ssl_resnext50_32x4d,20.000,80.000,53.613,46.387,25.03,224,0.875,bilinear,-74.870,-45.267,+20 -haloregnetz_b,19.987,80.013,49.987,50.013,11.68,224,0.940,bicubic,-74.713,-48.673,+35 -resnetv2_101,19.920,80.080,49.280,50.720,44.54,224,0.950,bicubic,-75.720,-49.380,-94 -xcit_nano_12_p8_384_dist,19.787,80.213,50.587,49.413,3.05,384,1.000,bicubic,-73.713,-47.773,+165 -tresnet_xl,19.640,80.360,53.133,46.867,78.44,224,0.875,bilinear,-75.800,-45.707,-64 -resnet101,19.307,80.693,49.507,50.493,44.55,224,0.950,bicubic,-76.043,-49.353,-48 -gluon_senet154,19.307,80.693,47.533,52.467,115.09,224,0.875,bicubic,-75.613,-51.277,+11 -rexnet_200,19.227,80.773,52.720,47.280,16.37,224,0.875,bicubic,-75.713,-46.290,+5 -levit_256,19.200,80.800,50.067,49.933,18.89,224,0.900,bicubic,-75.810,-48.843,-2 -repvgg_b3,19.107,80.893,50.253,49.747,123.09,224,0.875,bilinear,-75.463,-48.527,+42 -lambda_resnet50ts,19.093,80.907,49.267,50.733,21.54,256,0.950,bicubic,-75.677,-49.303,+20 -mixer_b16_224_miil,19.053,80.947,51.227,48.773,59.88,224,0.875,bilinear,-76.247,-47.653,-50 -legacy_senet154,19.053,80.947,47.947,52.053,115.09,224,0.875,bilinear,-76.017,-51.103,-14 -mobilevitv2_200,18.920,81.080,50.533,49.467,18.45,256,0.888,bicubic,-75.910,-48.347,+14 -deit_small_patch16_224,18.907,81.093,51.413,48.587,22.05,224,0.900,bicubic,-75.493,-47.487,+64 -gluon_seresnext101_64x4d,18.907,81.093,49.187,50.813,88.23,224,0.875,bicubic,-76.023,-49.643,-1 -gcvit_xxtiny,18.720,81.280,53.347,46.653,12.00,224,0.875,bicubic,-75.680,-45.343,+60 -tf_efficientnet_b1.ns_jft_in1k,18.693,81.307,51.667,48.333,7.79,240,0.882,bicubic,-76.477,-47.293,-42 -edgenext_small,18.653,81.347,53.613,46.387,5.59,320,1.000,bicubic,-76.747,-45.487,-67 -poolformer_s36,18.400,81.600,51.867,48.133,30.86,224,0.900,bicubic,-76.690,-47.033,-28 -seresnext50_32x4d,18.360,81.640,50.973,49.027,27.56,224,0.875,bicubic,-76.680,-47.857,-18 -cs3darknet_l,18.307,81.693,51.880,48.120,21.16,288,0.950,bicubic,-76.813,-47.110,-33 -cait_xxs36_224,18.253,81.747,49.427,50.573,17.30,224,1.000,bicubic,-76.007,-49.293,+67 -ecaresnet50d,18.227,81.773,51.893,48.107,25.58,224,0.875,bicubic,-76.403,-46.997,+20 -sehalonet33ts,18.200,81.800,47.787,52.213,13.69,256,0.940,bicubic,-76.570,-50.683,+5 -tf_efficientnet_lite4.in1k,18.133,81.867,50.707,49.293,13.01,380,0.920,bilinear,-76.757,-48.143,-7 -vit_tiny_patch16_384.augreg_in21k_ft_in1k,18.027,81.973,50.307,49.693,5.79,384,1.000,bicubic,-75.623,-48.293,+127 -mobilevitv2_175,17.773,82.227,49.760,50.240,14.25,256,0.888,bicubic,-77.127,-49.110,-10 -resnest50d_1s4x24d,17.693,82.307,49.800,50.200,25.68,224,0.875,bicubic,-77.057,-49.180,+3 -resnest50d,17.373,82.627,50.707,49.293,27.48,224,0.875,bilinear,-77.457,-48.003,-4 -gluon_seresnext101_32x4d,17.373,82.627,46.373,53.627,48.96,224,0.875,bicubic,-77.547,-52.387,-14 -efficientnet_el.ra_in1k,17.347,82.653,49.987,50.013,10.59,300,0.904,bicubic,-77.773,-48.993,-44 -convnext_pico.d1_in1k,17.333,82.667,50.213,49.787,9.05,288,0.950,bicubic,-77.407,-48.527,+1 -inception_v4,17.267,82.733,45.920,54.080,42.68,299,0.875,bicubic,-77.113,-52.660,+46 -tf_efficientnet_b3.ap_in1k,17.187,82.813,49.680,50.320,12.23,300,0.904,bicubic,-78.133,-49.220,-74 -xcit_tiny_24_p16_224_dist,17.173,82.827,47.453,52.547,12.12,224,1.000,bicubic,-77.357,-51.177,+24 -tf_efficientnet_b3.aa_in1k,17.000,83.000,49.267,50.733,12.23,300,0.904,bicubic,-78.010,-49.793,-31 -xception71,17.000,83.000,45.520,54.480,42.34,299,0.903,bicubic,-77.280,-53.120,+51 -cs3darknet_focus_l,16.960,83.040,50.453,49.547,21.15,288,0.950,bicubic,-78.210,-48.657,-62 -resmlp_36_distilled_224,16.880,83.120,51.467,48.533,44.69,224,0.875,bicubic,-78.010,-47.553,-20 -gluon_resnext101_64x4d,16.853,83.147,44.213,55.787,83.46,224,0.875,bicubic,-77.817,-54.437,-2 -tf_efficientnetv2_b3.in1k,16.667,83.333,48.680,51.320,14.36,300,0.904,bicubic,-78.493,-50.270,-60 -tresnet_l,16.600,83.400,49.920,50.080,55.99,224,0.875,bilinear,-78.680,-49.090,-78 -inception_resnet_v2,16.573,83.427,44.960,55.040,55.84,299,0.897,bicubic,-77.967,-53.890,+13 -gluon_resnet152_v1s,16.573,83.427,44.533,55.467,60.32,224,0.875,bicubic,-78.467,-54.347,-43 -gluon_resnet152_v1d,16.573,83.427,44.280,55.720,60.21,224,0.875,bicubic,-78.167,-54.420,-11 -convnext_pico_ols.d1_in1k,16.520,83.480,49.733,50.267,9.06,288,1.000,bicubic,-78.100,-49.127,+1 -gmlp_s16_224,16.520,83.480,45.120,54.880,19.42,224,0.875,bicubic,-77.640,-53.380,+58 -resmlp_24_distilled_224,16.467,83.533,50.387,49.613,30.02,224,0.875,bicubic,-77.993,-48.353,+22 -mobilevitv2_150,16.453,83.547,48.453,51.547,10.59,256,0.888,bicubic,-78.097,-50.297,+7 -gluon_xception65,16.440,83.560,46.027,53.973,39.92,299,0.903,bicubic,-77.820,-52.693,+41 -gernet_l,16.373,83.627,47.213,52.787,31.08,256,0.875,bilinear,-78.717,-51.697,-59 -gcresnet50t,16.360,83.640,48.240,51.760,25.90,256,0.900,bicubic,-78.490,-50.550,-29 -xcit_tiny_24_p16_224,16.307,83.693,45.960,54.040,12.12,224,1.000,bicubic,-77.773,-52.490,+59 -wide_resnet50_2,16.280,83.720,48.347,51.653,68.88,224,0.875,bicubic,-78.800,-50.623,-60 -gcresnext50ts,16.240,83.760,46.533,53.467,15.67,256,0.900,bicubic,-78.250,-52.137,+8 -ens_adv_inception_resnet_v2,16.240,83.760,43.640,56.360,55.84,299,0.897,bicubic,-77.920,-55.000,+49 -repvgg_b3g4,16.213,83.787,47.653,52.347,83.83,224,0.875,bilinear,-78.307,-51.317,+4 -ssl_resnet50,15.960,84.040,49.467,50.533,25.56,224,0.875,bilinear,-78.490,-49.453,+14 -edgenext_small_rw,15.933,84.067,49.653,50.347,7.83,320,1.000,bicubic,-78.727,-49.137,-19 -regnety_320,15.627,84.373,44.827,55.173,145.05,224,0.875,bicubic,-78.913,-53.963,-3 -vit_base_patch32_384.augreg_in1k,15.613,84.387,44.107,55.893,88.30,384,1.000,bicubic,-78.027,-54.293,+93 -ecaresnet101d_pruned,15.600,84.400,48.027,51.973,24.88,224,0.875,bicubic,-79.480,-50.953,-69 -convmixer_768_32,15.533,84.467,47.933,52.067,21.11,224,0.960,bicubic,-78.967,-50.917,-1 -ecaresnet26t,15.467,84.533,47.920,52.080,16.01,320,0.950,bicubic,-78.843,-50.560,+21 -coat_tiny,15.413,84.587,45.600,54.400,5.50,224,0.900,bicubic,-78.177,-52.830,+95 -skresnext50_32x4d,15.373,84.627,44.493,55.507,27.48,224,0.875,bicubic,-78.887,-53.967,+26 -vit_relpos_base_patch32_plus_rpn_256.sw_in1k,15.267,84.733,42.627,57.373,119.42,256,0.900,bicubic,-78.453,-55.913,+81 -ecaresnetlight,15.160,84.840,45.827,54.173,30.16,224,0.875,bicubic,-79.610,-52.973,-41 -cait_xxs24_224,15.160,84.840,44.960,55.040,11.96,224,1.000,bicubic,-78.440,-53.580,+91 -vit_base_patch16_224.augreg_in1k,14.987,85.013,41.987,58.013,86.57,224,0.900,bicubic,-78.643,-56.253,+86 -levit_192,14.893,85.107,44.920,55.080,10.95,224,0.900,bicubic,-79.277,-53.620,+31 -rexnet_150,14.720,85.280,46.907,53.093,9.73,224,0.875,bicubic,-79.760,-51.883,-5 -darknet53,14.693,85.307,47.120,52.880,41.61,288,1.000,bicubic,-79.937,-51.770,-31 -resnext50_32x4d,14.613,85.387,44.187,55.813,25.03,224,0.950,bicubic,-79.947,-54.423,-20 -darknetaa53,14.573,85.427,45.413,54.587,36.02,288,1.000,bilinear,-79.897,-53.357,-7 -coat_lite_mini,14.507,85.493,44.507,55.493,11.01,224,0.900,bicubic,-79.553,-54.053,+38 -efficientnet_el_pruned.in1k,14.480,85.520,46.120,53.880,10.59,300,0.904,bicubic,-79.920,-52.620,0 -seresnet33ts,14.440,85.560,46.107,53.893,19.78,256,0.900,bicubic,-80.420,-52.423,-58 -efficientnet_b2.ra_in1k,14.440,85.560,46.080,53.920,9.11,288,1.000,bicubic,-80.170,-52.630,-30 -poolformer_s24,14.267,85.733,47.240,52.760,21.39,224,0.900,bicubic,-80.293,-51.550,-28 -seresnet50,14.147,85.853,45.467,54.533,28.09,224,0.875,bicubic,-80.403,-53.243,-27 -legacy_seresnext101_32x4d,14.147,85.853,42.973,57.027,48.96,224,0.875,bilinear,-80.223,-55.677,-1 -fbnetv3_d.ra2_in1k,14.133,85.867,46.453,53.547,10.31,256,0.950,bilinear,-79.797,-52.287,+42 -eca_resnet33ts,14.093,85.907,47.347,52.653,19.68,256,0.900,bicubic,-80.097,-51.413,+14 -gernet_m,14.013,85.987,46.067,53.933,21.14,224,0.875,bilinear,-80.607,-52.703,-39 -pvt_v2_b1,14.000,86.000,47.720,52.280,14.01,224,0.900,bicubic,-79.820,-50.940,+52 -mobilevitv2_125,13.987,86.013,44.933,55.067,7.48,256,0.888,bicubic,-79.973,-53.657,+35 -gluon_resnext101_32x4d,13.867,86.133,41.653,58.347,44.18,224,0.875,bicubic,-80.663,-57.127,-28 -gcresnet33ts,13.760,86.240,45.053,54.947,19.88,256,0.900,bicubic,-80.710,-53.717,-20 -gluon_seresnext50_32x4d,13.600,86.400,43.760,56.240,27.56,224,0.875,bicubic,-80.740,-54.850,-7 -resmlp_36_224,13.507,86.493,46.693,53.307,44.69,224,0.875,bicubic,-80.683,-51.647,+8 -resnet50_gn,13.453,86.547,42.747,57.253,25.56,224,0.940,bicubic,-80.897,-55.963,-10 -repvgg_b2g4,13.440,86.560,43.787,56.213,61.76,224,0.875,bilinear,-80.420,-54.803,+41 -vit_small_patch16_224.augreg_in1k,13.400,86.600,41.400,58.600,22.05,224,0.900,bicubic,-80.490,-57.040,+38 -eca_botnext26ts_256,13.373,86.627,42.160,57.840,10.59,256,0.950,bicubic,-80.417,-56.340,+46 -ese_vovnet39b,13.320,86.680,43.813,56.187,24.57,224,0.875,bicubic,-80.770,-54.847,+15 -regnetx_320,13.307,86.693,40.720,59.280,107.81,224,0.875,bicubic,-81.153,-58.050,-26 -pit_xs_distilled_224,13.240,86.760,44.573,55.427,11.00,224,0.900,bicubic,-80.570,-53.837,+41 -efficientnet_b3_pruned.in1k,13.173,86.827,45.213,54.787,9.86,300,0.904,bicubic,-81.457,-53.607,-54 -gluon_resnet101_v1d,13.160,86.840,41.493,58.507,44.57,224,0.875,bicubic,-81.060,-57.057,-4 -mixnet_xl.ra_in1k,13.120,86.880,43.253,56.747,11.90,224,0.875,bicubic,-81.070,-55.407,-1 -cspresnext50,13.080,86.920,44.920,55.080,20.57,256,0.887,bilinear,-81.760,-53.850,-78 -efficientformer_l1,13.027,86.973,45.600,54.400,12.29,224,0.950,bicubic,-81.463,-53.230,-40 -eca_halonext26ts,12.960,87.040,42.773,57.227,10.76,256,0.940,bicubic,-81.080,-55.717,+11 -nf_regnet_b1,12.947,87.053,44.400,55.600,10.22,288,0.900,bicubic,-81.173,-54.340,+5 -mobilevit_s,12.880,87.120,40.773,59.227,5.58,256,0.900,bicubic,-80.300,-57.647,+88 -pit_xs_224,12.813,87.187,42.840,57.160,10.62,224,0.900,bicubic,-80.297,-55.550,+94 -gluon_inception_v3,12.640,87.360,40.493,59.507,23.83,299,0.875,bicubic,-80.820,-58.077,+63 -crossvit_9_dagger_240,12.573,87.427,41.773,58.227,8.78,240,0.875,bicubic,-80.327,-56.467,+104 -coat_lite_tiny,12.520,87.480,41.160,58.840,5.72,224,0.900,bicubic,-80.720,-57.100,+82 -convnext_femto_ols.d1_in1k,12.493,87.507,44.000,56.000,5.23,288,0.950,bicubic,-81.427,-54.520,+15 -resmlp_24_224,12.493,87.507,43.427,56.573,30.02,224,0.875,bicubic,-81.527,-54.903,+4 -regnety_120,12.427,87.573,42.200,57.800,51.82,224,0.875,bicubic,-82.053,-56.610,-47 -efficientnet_em.ra2_in1k,12.360,87.640,43.880,56.120,6.90,240,0.882,bicubic,-81.480,-54.930,+21 -hrnet_w64,12.027,87.973,40.787,59.213,128.06,224,0.875,bilinear,-81.983,-57.823,+3 -cspdarknet53,12.013,87.987,43.253,56.747,27.64,256,0.887,bilinear,-82.647,-55.547,-77 -xcit_tiny_12_p16_224_dist,11.947,88.053,40.133,59.867,6.72,224,1.000,bicubic,-81.443,-58.367,+61 -gluon_resnet101_v1s,11.880,88.120,40.973,59.027,44.67,224,0.875,bicubic,-82.840,-57.847,-84 -gmixer_24_224,11.853,88.147,37.773,62.227,24.72,224,0.875,bicubic,-80.977,-60.407,+99 -nf_resnet50,11.760,88.240,45.933,54.067,25.56,288,0.940,bicubic,-82.800,-52.947,-67 -fbnetv3_b.ra2_in1k,11.747,88.253,44.387,55.613,8.60,256,0.950,bilinear,-82.213,-54.243,-1 -resnet50d,11.693,88.307,42.453,57.547,25.58,224,0.875,bicubic,-82.567,-56.117,-32 -dpn92,11.627,88.373,40.267,59.733,37.67,224,0.875,bicubic,-82.603,-58.463,-29 -xception41,11.600,88.400,39.133,60.867,26.97,299,0.903,bicubic,-81.830,-59.297,+51 -botnet26t_256,11.587,88.413,40.147,59.853,12.49,256,0.950,bicubic,-81.933,-58.363,+41 -dla102x2,11.573,88.427,41.293,58.707,41.28,224,0.875,bilinear,-82.377,-57.197,-3 -vit_small_patch32_224.augreg_in21k_ft_in1k,11.480,88.520,39.573,60.427,22.88,224,0.900,bicubic,-80.560,-58.717,+138 -levit_128,11.427,88.573,40.267,59.733,9.21,224,0.900,bicubic,-81.913,-58.113,+53 -lambda_resnet26t,11.373,88.627,40.240,59.760,10.96,256,0.940,bicubic,-82.467,-58.400,+7 -efficientnet_b2_pruned.in1k,11.360,88.640,42.027,57.973,8.31,260,0.890,bicubic,-82.780,-56.643,-23 -tf_efficientnet_el.in1k,11.333,88.667,42.040,57.960,10.59,300,0.904,bicubic,-83.077,-56.670,-56 -xcit_nano_12_p16_384_dist,11.253,88.747,39.867,60.133,3.05,384,1.000,bicubic,-80.567,-58.153,+146 -convnext_femto.d1_in1k,11.240,88.760,42.827,57.173,5.22,288,0.950,bicubic,-82.680,-55.783,-5 -halonet26t,11.133,88.867,38.800,61.200,12.48,256,0.950,bicubic,-82.847,-59.700,-15 -vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k,11.093,88.907,39.987,60.013,6.36,384,1.000,bicubic,-80.947,-58.243,+128 -gluon_resnet152_v1c,11.093,88.907,37.120,62.880,60.21,224,0.875,bicubic,-83.067,-61.480,-32 -hrnet_w48,11.080,88.920,40.320,59.680,77.47,224,0.875,bilinear,-82.840,-58.290,-11 -dpn107,11.080,88.920,38.693,61.307,86.92,224,0.875,bicubic,-83.230,-59.947,-50 -ecaresnet50d_pruned,11.027,88.973,41.947,58.053,19.94,224,0.875,bicubic,-83.193,-56.783,-44 -mobilevitv2_100,11.027,88.973,40.600,59.400,4.90,256,0.888,bicubic,-82.243,-57.680,+50 -tf_efficientnetv2_b2.in1k,11.027,88.973,39.760,60.240,10.10,260,0.890,bicubic,-83.393,-58.810,-67 -adv_inception_v3,11.013,88.987,36.720,63.280,23.83,299,0.875,bicubic,-81.867,-61.420,+72 -resnetv2_50,10.960,89.040,39.373,60.627,25.55,224,0.950,bicubic,-83.480,-59.367,-70 -xcit_tiny_12_p16_224,10.960,89.040,37.040,62.960,6.72,224,1.000,bicubic,-81.540,-61.020,+99 -tf_efficientnet_b0.ns_jft_in1k,10.933,89.067,40.067,59.933,5.29,224,0.875,bicubic,-82.697,-58.573,+10 -tf_inception_v3,10.840,89.160,36.880,63.120,23.83,299,0.875,bicubic,-82.480,-61.150,+39 -xcit_nano_12_p8_224_dist,10.787,89.213,38.080,61.920,3.05,224,1.000,bicubic,-81.303,-60.080,+114 -dpn131,10.787,89.213,37.200,62.800,79.25,224,0.875,bicubic,-83.223,-61.520,-30 -tf_efficientnet_b2.ap_in1k,10.533,89.467,40.107,59.893,9.11,260,0.890,bicubic,-83.957,-58.513,-84 -resnext50d_32x4d,10.413,89.587,39.733,60.267,25.05,224,0.875,bicubic,-83.767,-58.837,-49 -rexnet_130,10.400,89.600,41.547,58.453,7.56,224,0.875,bicubic,-83.500,-56.853,-22 -xcit_nano_12_p8_224,10.333,89.667,36.987,63.013,3.05,224,1.000,bicubic,-80.687,-60.813,+150 -hrnet_w44,10.320,89.680,39.507,60.493,67.06,224,0.875,bilinear,-83.230,-59.193,+9 -lambda_resnet26rpt_256,10.253,89.747,38.093,61.907,10.99,256,0.940,bicubic,-83.457,-60.417,-5 -resnext101_32x8d,10.187,89.813,37.827,62.173,88.79,224,0.875,bilinear,-83.643,-60.753,-18 -regnetx_160,10.147,89.853,38.000,62.000,54.28,224,0.875,bicubic,-83.973,-60.630,-47 -resnet50,10.133,89.867,37.867,62.133,25.56,224,0.950,bicubic,-84.187,-60.573,-74 -dpn98,10.133,89.867,36.587,63.413,61.57,224,0.875,bicubic,-83.997,-61.983,-49 -legacy_seresnext50_32x4d,10.107,89.893,39.200,60.800,27.56,224,0.875,bilinear,-83.623,-59.380,-13 -resnetrs50,10.093,89.907,37.507,62.493,35.69,224,0.910,bicubic,-84.217,-61.213,-74 -inception_v3,10.027,89.973,35.227,64.773,23.83,299,0.875,bicubic,-82.693,-62.743,+67 -efficientnet_b1.ft_in1k,10.013,89.987,37.547,62.453,7.79,256,1.000,bicubic,-83.237,-60.743,+29 -xception,9.987,90.013,38.027,61.973,22.86,299,0.897,bicubic,-83.473,-60.463,+9 -dpn68b,9.787,90.213,38.053,61.947,12.61,224,0.875,bicubic,-83.903,-60.457,-14 -gluon_resnet152_v1b,9.747,90.253,36.067,63.933,60.19,224,0.875,bicubic,-84.333,-62.453,-52 -tf_efficientnet_lite3.in1k,9.667,90.333,39.000,61.000,8.20,300,0.904,bilinear,-84.533,-59.640,-69 -tf_efficientnet_b2.aa_in1k,9.653,90.347,38.880,61.120,9.11,260,0.890,bicubic,-84.707,-59.730,-86 -tf_efficientnet_cc_b1_8e.in1k,9.573,90.427,36.773,63.227,39.72,240,0.882,bicubic,-84.327,-61.487,-38 -res2net101_26w_4s,9.520,90.480,35.027,64.973,45.21,224,0.875,bilinear,-84.230,-63.283,-25 -legacy_seresnet152,9.347,90.653,37.413,62.587,66.82,224,0.875,bilinear,-84.053,-60.937,+7 -cspresnet50,9.253,90.747,39.640,60.360,21.62,256,0.887,bilinear,-84.487,-59.000,-26 -resnet33ts,9.240,90.760,38.667,61.333,19.68,256,0.900,bicubic,-84.360,-59.773,-14 -hrnet_w40,9.227,90.773,36.893,63.107,57.56,224,0.875,bilinear,-84.263,-61.687,-3 -regnetx_120,9.187,90.813,37.200,62.800,46.11,224,0.875,bicubic,-85.053,-61.450,-81 -seresnext26d_32x4d,9.147,90.853,36.840,63.160,16.81,224,0.875,bicubic,-83.553,-61.310,+54 -resnest26d,9.080,90.920,37.853,62.147,17.07,224,0.875,bilinear,-84.250,-60.497,+5 -crossvit_tiny_240,9.080,90.920,34.600,65.400,7.01,240,0.875,bicubic,-81.170,-62.990,+144 -vit_tiny_patch16_224.augreg_in21k_ft_in1k,9.067,90.933,34.573,65.427,5.72,224,0.900,bicubic,-82.693,-63.287,+102 -vit_base_patch16_224.sam,8.987,91.013,36.173,63.827,86.57,224,0.900,bicubic,-85.153,-62.357,-73 -gluon_resnext50_32x4d,8.947,91.053,36.333,63.667,25.03,224,0.875,bicubic,-84.863,-62.337,-40 -seresnext26t_32x4d,8.893,91.107,36.907,63.093,16.81,224,0.875,bicubic,-83.927,-61.463,+37 -rexnet_100,8.893,91.107,36.373,63.627,4.80,224,0.875,bicubic,-84.137,-61.927,+26 -bat_resnext26ts,8.867,91.133,36.427,63.573,10.73,256,0.900,bicubic,-84.463,-62.203,+1 -mixnet_l.ft_in1k,8.853,91.147,36.187,63.813,7.33,224,0.875,bicubic,-84.597,-62.033,-10 -convit_tiny,8.840,91.160,34.360,65.640,5.71,224,0.875,bicubic,-81.790,-63.380,+130 -mobilenetv3_large_100.miil_in21k_ft_in1k,8.840,91.160,32.973,67.027,5.48,224,0.875,bilinear,-83.420,-64.667,+69 -resnet32ts,8.760,91.240,37.200,62.800,17.96,256,0.900,bicubic,-84.700,-61.330,-14 -gcresnext26ts,8.680,91.320,35.733,64.267,10.48,256,0.900,bicubic,-84.090,-62.307,+34 -levit_128s,8.653,91.347,33.107,66.893,7.78,224,0.900,bicubic,-83.317,-64.953,+80 -dla169,8.640,91.360,36.040,63.960,53.39,224,0.875,bilinear,-84.700,-62.560,-10 -hrnet_w30,8.613,91.387,37.040,62.960,37.71,224,0.875,bilinear,-84.587,-61.370,+2 -mixer_b16_224,8.600,91.400,29.413,70.587,59.88,224,0.875,bicubic,-83.270,-68.507,+83 -convnext_atto_ols.a2_in1k,8.560,91.440,35.067,64.933,3.70,288,0.950,bicubic,-84.520,-63.403,+9 -legacy_seresnet101,8.533,91.467,36.013,63.987,49.33,224,0.875,bilinear,-84.747,-62.497,-5 -tf_efficientnet_b1.ap_in1k,8.453,91.547,35.253,64.747,7.79,240,0.882,bicubic,-85.237,-63.107,-44 -repvgg_b2,8.427,91.573,36.467,63.533,89.02,224,0.875,bilinear,-85.073,-62.263,-29 -resmlp_12_distilled_224,8.307,91.693,36.853,63.147,15.35,224,0.875,bicubic,-84.523,-61.287,+20 -crossvit_9_240,8.280,91.720,34.107,65.893,8.55,240,0.875,bicubic,-82.360,-63.633,+116 -resnetblur50,8.240,91.760,37.400,62.600,25.56,224,0.875,bicubic,-85.720,-61.160,-78 -dla102x,8.200,91.800,37.013,62.987,26.31,224,0.875,bilinear,-85.320,-61.287,-35 -eca_resnext26ts,8.080,91.920,35.960,64.040,10.30,256,0.900,bicubic,-84.530,-62.300,+36 -hrnet_w32,8.040,91.960,37.507,62.493,41.23,224,0.875,bilinear,-85.490,-60.943,-38 -cs3darknet_m,8.000,92.000,36.520,63.480,9.31,288,0.950,bicubic,-85.350,-62.080,-24 -res2net50_26w_8s,8.000,92.000,33.853,66.147,48.40,224,0.875,bilinear,-85.540,-64.407,-41 -vit_base_patch32_224.augreg_in1k,8.000,92.000,30.467,69.533,88.22,224,0.900,bicubic,-83.190,-66.913,+90 -gluon_resnet101_v1c,7.987,92.013,33.360,66.640,44.57,224,0.875,bicubic,-85.683,-65.060,-54 -gluon_resnet50_v1d,7.920,92.080,35.000,65.000,25.58,224,0.875,bicubic,-85.850,-63.390,-65 -mobilevitv2_075,7.800,92.200,33.640,66.360,2.87,256,0.888,bicubic,-83.960,-64.400,+73 -dla60_res2next,7.787,92.213,34.987,65.013,17.03,224,0.875,bilinear,-85.393,-63.443,-13 -mobilevit_xs,7.733,92.267,32.507,67.493,2.32,256,0.900,bicubic,-83.097,-65.413,+99 -densenetblur121d,7.720,92.280,34.733,65.267,8.00,224,0.875,bicubic,-84.190,-63.337,+61 -deit_tiny_distilled_patch16_224,7.707,92.293,33.560,66.440,5.91,224,0.900,bicubic,-82.993,-64.010,+99 -tf_efficientnetv2_b1.in1k,7.693,92.307,34.653,65.347,8.14,240,0.882,bicubic,-86.247,-63.967,-89 -convnext_atto.d2_in1k,7.600,92.400,35.040,64.960,3.70,288,0.950,bicubic,-85.190,-63.020,+7 -dla60_res2net,7.560,92.440,34.627,65.373,20.85,224,0.875,bilinear,-85.620,-63.783,-20 -efficientnet_b1_pruned.in1k,7.440,92.560,34.533,65.467,6.33,240,0.882,bicubic,-85.330,-63.727,+7 -wide_resnet101_2,7.360,92.640,34.147,65.853,126.89,224,0.875,bilinear,-86.360,-63.923,-70 -regnetx_064,7.333,92.667,34.373,65.627,26.21,224,0.875,bicubic,-86.557,-64.257,-87 -deit_tiny_patch16_224,7.307,92.693,30.707,69.293,5.72,224,0.900,bicubic,-82.363,-66.743,+112 -edgenext_x_small,7.280,92.720,30.947,69.053,2.34,288,1.000,bicubic,-84.440,-66.923,+64 -hardcorenas_e,7.240,92.760,33.293,66.707,8.07,224,0.875,bilinear,-85.330,-64.817,+18 -gluon_resnet101_v1b,7.227,92.773,32.773,67.227,44.55,224,0.875,bicubic,-86.523,-65.607,-79 -efficientnet_b0.ra_in1k,7.213,92.787,34.013,65.987,5.29,224,0.875,bicubic,-85.477,-64.277,+8 -gluon_resnet50_v1s,7.213,92.787,33.507,66.493,25.68,224,0.875,bicubic,-86.407,-64.953,-67 -tf_mixnet_l.in1k,7.147,92.853,31.613,68.387,7.33,224,0.875,bicubic,-86.163,-66.417,-39 -tf_efficientnet_b1.aa_in1k,7.133,92.867,33.040,66.960,7.79,240,0.882,bicubic,-86.367,-65.490,-57 -tf_efficientnet_cc_b0_8e.in1k,7.120,92.880,31.787,68.213,24.01,224,0.875,bicubic,-85.710,-66.093,-11 -convmixer_1024_20_ks9_p14,7.093,92.907,33.053,66.947,24.38,224,0.960,bicubic,-85.337,-65.217,+18 -seresnext26ts,7.040,92.960,34.933,65.067,10.39,256,0.900,bicubic,-85.650,-63.137,+1 -resmlp_12_224,7.013,92.987,33.947,66.053,15.35,224,0.875,bicubic,-85.197,-64.213,+28 -cs3darknet_focus_m,6.947,93.053,34.600,65.400,9.30,288,0.950,bicubic,-86.003,-63.790,-21 -hardcorenas_f,6.827,93.173,34.093,65.907,8.20,224,0.875,bilinear,-86.123,-64.067,-21 -ese_vovnet19b_dw,6.733,93.267,33.413,66.587,6.54,224,0.875,bicubic,-85.557,-64.677,+20 -selecsls60b,6.733,93.267,33.267,66.733,32.77,224,0.875,bicubic,-86.567,-65.123,-46 -efficientnet_es.ra_in1k,6.707,93.293,33.840,66.160,5.44,224,0.875,bicubic,-86.433,-64.580,-38 -res2net50_26w_6s,6.693,93.307,31.653,68.347,37.05,224,0.875,bilinear,-86.717,-66.627,-60 -legacy_seresnext26_32x4d,6.627,93.373,33.253,66.747,16.79,224,0.875,bicubic,-86.013,-64.877,-3 -tinynet_a.in1k,6.627,93.373,32.213,67.787,6.19,192,0.875,bicubic,-85.813,-65.867,+5 -mixnet_m.ft_in1k,6.627,93.373,32.053,67.947,5.01,224,0.875,bicubic,-85.803,-65.817,+9 -pit_ti_distilled_224,6.627,93.373,30.760,69.240,5.10,224,0.900,bicubic,-84.273,-66.940,+67 -poolformer_s12,6.560,93.440,34.467,65.533,11.92,224,0.900,bicubic,-86.060,-63.733,-6 -skresnet34,6.480,93.520,31.547,68.453,22.28,224,0.875,bicubic,-85.910,-66.603,+8 -repvgg_b1,6.467,93.533,33.827,66.173,57.42,224,0.875,bilinear,-86.863,-64.683,-60 -hardcorenas_d,6.440,93.560,32.213,67.787,7.50,224,0.875,bilinear,-85.960,-65.857,+4 -dla60x,6.427,93.573,34.080,65.920,17.35,224,0.875,bilinear,-86.693,-64.430,-47 -resnet34d,6.400,93.600,31.493,68.507,21.82,224,0.875,bicubic,-86.280,-66.817,-14 -regnetx_080,6.307,93.693,32.320,67.680,39.57,224,0.875,bicubic,-87.563,-66.200,-114 -swsl_resnet18,6.240,93.760,31.600,68.400,11.69,224,0.875,bilinear,-84.450,-66.100,+65 -legacy_seresnet50,6.187,93.813,32.653,67.347,28.09,224,0.875,bilinear,-86.773,-65.537,-40 -resnet26t,6.120,93.880,32.280,67.720,16.01,256,0.940,bicubic,-86.630,-65.930,-26 -pit_ti_224,6.120,93.880,30.227,69.773,4.85,224,0.900,bicubic,-83.820,-67.223,+76 -tv_resnet152,6.040,93.960,32.053,67.947,60.19,224,0.875,bilinear,-87.260,-66.227,-65 -regnetx_040,5.973,94.027,31.547,68.453,22.12,224,0.875,bicubic,-87.587,-66.993,-92 -tf_efficientnet_cc_b0_4e.in1k,5.973,94.027,29.600,70.400,13.31,224,0.875,bicubic,-86.617,-68.480,-16 -tf_efficientnetv2_b0.in1k,5.893,94.107,30.773,69.227,7.14,224,0.875,bicubic,-87.217,-67.537,-55 -dla102,5.880,94.120,32.707,67.293,33.27,224,0.875,bilinear,-87.180,-65.833,-53 -mixer_l16_224,5.867,94.133,18.533,81.467,208.20,224,0.875,bicubic,-81.283,-74.987,+98 -regnety_016,5.680,94.320,30.413,69.587,11.20,224,0.875,bicubic,-87.350,-67.947,-53 -selecsls60,5.653,94.347,32.507,67.493,30.67,224,0.875,bicubic,-87.377,-65.683,-53 -hardcorenas_c,5.640,94.360,30.400,69.600,5.52,224,0.875,bilinear,-86.380,-67.440,+6 -res2next50,5.627,94.373,30.867,69.133,24.67,224,0.875,bilinear,-87.213,-67.313,-46 -hrnet_w18,5.493,94.507,30.960,69.040,21.30,224,0.875,bilinear,-86.827,-67.280,-10 -resnest14d,5.480,94.520,28.547,71.453,10.61,224,0.875,bilinear,-86.240,-69.063,+20 -tf_efficientnet_lite2.in1k,5.360,94.640,30.907,69.093,6.09,260,0.890,bicubic,-87.290,-67.323,-31 -tf_efficientnet_em.in1k,5.347,94.653,31.107,68.893,6.90,240,0.882,bicubic,-87.583,-67.083,-53 -gernet_s,5.307,94.693,30.133,69.867,8.17,224,0.875,bilinear,-86.833,-68.057,-5 -tf_efficientnet_b0.ap_in1k,5.307,94.693,28.813,71.187,5.29,224,0.875,bicubic,-86.893,-69.207,-8 -repvgg_b1g4,5.293,94.707,30.813,69.187,39.97,224,0.875,bilinear,-87.687,-67.617,-61 -densenet121,5.293,94.707,29.907,70.093,7.98,224,0.875,bicubic,-86.277,-68.123,+17 -xcit_nano_12_p16_224_dist,5.240,94.760,26.560,73.440,3.05,224,1.000,bicubic,-84.440,-70.530,+60 -res2net50_26w_4s,5.160,94.840,29.360,70.640,25.70,224,0.875,bilinear,-87.340,-68.880,-27 -tf_mixnet_m.in1k,5.080,94.920,28.147,71.853,5.01,224,0.875,bicubic,-87.250,-69.743,-21 -vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k,5.080,94.920,27.080,72.920,6.34,224,0.900,bicubic,-84.090,-70.150,+62 -tf_efficientnet_b0.aa_in1k,5.067,94.933,28.800,71.200,5.29,224,0.875,bicubic,-87.183,-69.200,-19 -mobilenetv3_large_100.ra_in1k,5.067,94.933,28.187,71.813,5.48,224,0.875,bicubic,-86.253,-69.523,+16 -res2net50_14w_8s,5.040,94.960,28.773,71.227,25.06,224,0.875,bilinear,-87.700,-69.497,-49 -hardcorenas_b,4.947,95.053,28.120,71.880,5.18,224,0.875,bilinear,-86.823,-69.660,+2 -mobilenetv3_rw.rmsp_in1k,4.907,95.093,29.853,70.147,5.48,224,0.875,bicubic,-86.303,-67.807,+14 -mixnet_s.ft_in1k,4.907,95.093,28.573,71.427,4.13,224,0.875,bicubic,-86.923,-69.287,-1 -gluon_resnet50_v1c,4.893,95.107,28.147,71.853,25.58,224,0.875,bicubic,-88.137,-70.243,-76 -hardcorenas_a,4.867,95.133,28.093,71.907,5.26,224,0.875,bilinear,-86.483,-69.767,+8 -regnetx_032,4.853,95.147,30.280,69.720,15.30,224,0.875,bicubic,-88.267,-68.110,-83 -xcit_nano_12_p16_224,4.853,95.147,25.467,74.533,3.05,224,1.000,bicubic,-83.757,-71.323,+63 -tv_resnext50_32x4d,4.840,95.160,30.307,69.693,25.03,224,0.875,bilinear,-87.900,-67.873,-58 -tv_resnet101,4.707,95.293,29.333,70.667,44.55,224,0.875,bilinear,-88.103,-68.917,-65 -densenet161,4.693,95.307,29.547,70.453,28.68,224,0.875,bicubic,-87.807,-68.743,-44 -resnext26ts,4.693,95.307,29.027,70.973,10.30,256,0.900,bicubic,-87.177,-68.223,-13 -selecsls42b,4.667,95.333,28.587,71.413,32.46,224,0.875,bicubic,-87.613,-69.563,-34 -tf_efficientnet_lite1.in1k,4.613,95.387,28.387,71.613,5.42,240,0.882,bicubic,-88.007,-69.693,-53 -mobilenetv2_120d.ra_in1k,4.533,95.467,29.280,70.720,5.83,224,0.875,bicubic,-87.867,-68.770,-41 -pvt_v2_b0,4.347,95.653,25.907,74.093,3.67,224,0.900,bicubic,-84.443,-70.823,+52 -vit_base_patch32_224.sam,4.333,95.667,24.387,75.613,88.22,224,0.900,bicubic,-85.417,-72.613,+36 -edgenext_xx_small,4.240,95.760,24.093,75.907,1.33,288,1.000,bicubic,-84.640,-72.887,+49 -tinynet_b.in1k,4.187,95.813,26.720,73.280,3.73,188,0.875,bicubic,-86.733,-70.950,+10 -efficientnet_es_pruned.in1k,4.187,95.813,26.520,73.480,5.44,224,0.875,bicubic,-86.993,-71.230,+2 -fbnetc_100.rmsp_in1k,4.133,95.867,25.933,74.067,5.57,224,0.875,bilinear,-86.567,-71.277,+16 -densenet201,4.120,95.880,27.547,72.453,20.01,224,0.875,bicubic,-88.630,-70.683,-73 -gluon_resnet50_v1b,4.120,95.880,26.933,73.067,25.56,224,0.875,bicubic,-88.420,-71.237,-57 -resnet26d,4.040,95.960,28.520,71.480,16.01,224,0.875,bicubic,-88.030,-69.440,-36 -semnasnet_100.rmsp_in1k,3.960,96.040,26.947,73.053,3.89,224,0.875,bicubic,-87.320,-70.613,-9 -repvgg_a2,3.947,96.053,27.267,72.733,28.21,224,0.875,bilinear,-87.993,-70.883,-31 -mobilevitv2_050,3.933,96.067,23.880,76.120,1.37,256,0.888,bicubic,-84.297,-73.110,+47 -tf_mixnet_s.in1k,3.880,96.120,25.253,74.747,4.13,224,0.875,bicubic,-87.630,-72.367,-17 -semnasnet_075.rmsp_in1k,3.867,96.133,27.027,72.973,2.91,224,0.875,bicubic,-86.203,-70.403,+19 -dpn68,3.867,96.133,26.080,73.920,12.61,224,0.875,bicubic,-88.143,-71.970,-37 -tf_efficientnet_es.in1k,3.827,96.173,26.107,73.893,5.44,224,0.875,bicubic,-88.153,-71.753,-39 -mobilevit_xxs,3.827,96.173,21.747,78.253,1.27,256,0.900,bicubic,-83.343,-74.353,+48 -regnety_008,3.813,96.187,27.133,72.867,6.26,224,0.875,bicubic,-87.937,-71.047,-26 -dla60,3.773,96.227,27.933,72.067,22.04,224,0.875,bilinear,-88.457,-70.177,-52 -ssl_resnet18,3.747,96.253,25.427,74.573,11.69,224,0.875,bilinear,-86.473,-72.123,+11 -mobilenetv2_140.ra_in1k,3.720,96.280,26.747,73.253,6.11,224,0.875,bicubic,-88.110,-70.943,-35 -densenet169,3.707,96.293,25.613,74.387,14.15,224,0.875,bicubic,-88.223,-72.487,-41 -regnetx_016,3.627,96.373,26.293,73.707,9.19,224,0.875,bicubic,-88.543,-71.917,-53 -res2net50_48w_2s,3.587,96.413,26.613,73.387,25.29,224,0.875,bilinear,-88.963,-71.467,-74 -tf_mobilenetv3_large_100.in1k,3.547,96.453,25.053,74.947,5.48,224,0.875,bilinear,-87.693,-72.607,-24 -spnasnet_100.rmsp_in1k,3.547,96.453,24.293,75.707,4.42,224,0.875,bilinear,-86.803,-72.897,+4 -regnety_006,3.467,96.533,24.893,75.107,6.06,224,0.875,bicubic,-87.903,-72.817,-29 -legacy_seresnet34,3.333,96.667,23.800,76.200,21.96,224,0.875,bilinear,-87.557,-73.910,-10 -efficientnet_lite0.ra_in1k,3.253,96.747,25.867,74.133,4.65,224,0.875,bicubic,-87.887,-71.763,-22 -ghostnet_100,3.227,96.773,24.853,75.147,5.18,224,0.875,bilinear,-86.793,-72.517,+4 -dla34,3.227,96.773,23.573,76.427,15.74,224,0.875,bilinear,-87.533,-74.087,-10 -regnety_004,3.200,96.800,22.653,77.347,4.34,224,0.875,bicubic,-87.300,-74.887,-5 -mobilenetv2_110d.ra_in1k,3.173,96.827,24.587,75.413,4.52,224,0.875,bicubic,-87.777,-72.963,-19 -mnasnet_100.rmsp_in1k,3.120,96.880,24.227,75.773,4.38,224,0.875,bicubic,-87.390,-73.243,-8 -tinynet_c.in1k,3.093,96.907,21.533,78.467,2.46,184,0.875,bicubic,-84.677,-74.837,+25 -tf_efficientnet_lite0.in1k,3.080,96.920,22.907,77.093,4.65,224,0.875,bicubic,-87.960,-74.683,-25 -skresnet18,3.013,96.987,22.800,77.200,11.96,224,0.875,bicubic,-86.647,-74.430,+5 -vgg19_bn,2.947,97.053,23.480,76.520,143.68,224,0.875,bilinear,-87.133,-74.100,-5 -resnet34,2.920,97.080,23.680,76.320,21.80,224,0.875,bilinear,-88.210,-73.940,-31 -tf_mobilenetv3_large_075.in1k,2.867,97.133,21.573,78.427,3.99,224,0.875,bilinear,-86.813,-75.637,-1 -tinynet_d.in1k,2.867,97.133,17.813,82.187,2.34,152,0.875,bicubic,-81.883,-77.367,+33 -resnet14t,2.787,97.213,19.267,80.733,10.08,224,0.950,bilinear,-86.263,-77.353,+5 -hrnet_w18_small_v2,2.720,97.280,23.693,76.307,15.60,224,0.875,bilinear,-88.470,-74.207,-39 -gluon_resnet34_v1b,2.667,97.333,21.680,78.320,21.80,224,0.875,bicubic,-88.293,-75.950,-31 -vgg16_bn,2.653,97.347,23.773,76.227,138.37,224,0.875,bilinear,-87.437,-73.597,-14 -regnetx_008,2.653,97.347,22.453,77.547,7.26,224,0.875,bicubic,-88.397,-75.257,-35 -vgg16,2.640,97.360,20.427,79.573,138.36,224,0.875,bilinear,-85.910,-76.363,+10 -lcnet_100.ra2_in1k,2.613,97.387,20.893,79.107,2.95,224,0.875,bicubic,-86.177,-75.967,+6 -resnet18d,2.600,97.400,21.613,78.387,11.71,224,0.875,bicubic,-86.680,-75.537,-5 -tv_densenet121,2.560,97.440,22.667,77.333,7.98,224,0.875,bicubic,-88.330,-74.913,-33 -repvgg_b0,2.547,97.453,24.013,75.987,15.82,224,0.875,bilinear,-88.883,-73.977,-54 -regnetx_006,2.507,97.493,20.653,79.347,6.20,224,0.875,bicubic,-87.843,-76.777,-24 -legacy_seresnet18,2.493,97.507,20.080,79.920,11.78,224,0.875,bicubic,-86.387,-76.610,-2 -resnet26,2.480,97.520,22.987,77.013,16.00,224,0.875,bicubic,-88.630,-74.753,-45 -lcnet_075.ra2_in1k,2.320,97.680,17.120,82.880,2.36,224,0.875,bicubic,-83.670,-78.560,+16 -mobilenetv3_small_075.lamb_in1k,2.307,97.693,15.920,84.080,2.04,224,0.875,bicubic,-80.733,-78.180,+24 -mobilenetv2_100.ra_in1k,2.147,97.853,19.907,80.093,3.50,224,0.875,bicubic,-87.453,-77.233,-14 -regnety_002,2.147,97.853,18.880,81.120,3.16,224,0.875,bicubic,-85.233,-77.710,+5 -vgg19,2.107,97.893,20.733,79.267,143.67,224,0.875,bilinear,-86.933,-76.137,-11 -vgg13_bn,2.093,97.907,20.307,79.693,133.05,224,0.875,bilinear,-86.667,-76.663,-5 -tf_mobilenetv3_small_100.in1k,2.013,97.987,15.867,84.133,2.54,224,0.875,bilinear,-83.177,-79.903,+12 -mobilenetv3_small_100.lamb_in1k,2.000,98.000,17.080,82.920,2.54,224,0.875,bicubic,-83.220,-78.540,+10 -tf_mobilenetv3_small_075.in1k,2.000,98.000,14.813,85.187,2.04,224,0.875,bilinear,-81.520,-79.977,+16 -regnetx_004,1.960,98.040,19.173,80.827,5.16,224,0.875,bicubic,-86.940,-77.947,-14 -tv_resnet34,1.867,98.133,20.000,80.000,21.80,224,0.875,bilinear,-88.073,-77.340,-28 -vgg13,1.867,98.133,17.960,82.040,133.05,224,0.875,bilinear,-85.183,-78.360,0 -tinynet_e.in1k,1.853,98.147,14.027,85.973,2.04,106,0.875,bicubic,-77.047,-78.533,+16 -mobilenetv3_small_050.lamb_in1k,1.840,98.160,12.507,87.493,1.59,224,0.875,bicubic,-75.150,-78.793,+16 -lcnet_050.ra2_in1k,1.813,98.187,13.880,86.120,1.88,224,0.875,bicubic,-79.967,-79.830,+12 -dla46x_c,1.760,98.240,16.480,83.520,1.07,224,0.875,bilinear,-82.490,-78.790,+6 -mnasnet_small.lamb_in1k,1.760,98.240,15.093,84.907,2.03,224,0.875,bicubic,-82.680,-80.087,+4 -resnet10t,1.733,98.267,15.813,84.187,5.44,224,0.950,bilinear,-84.467,-79.837,-3 -vgg11_bn,1.720,98.280,18.093,81.907,132.87,224,0.875,bilinear,-85.780,-78.727,-12 -tf_mobilenetv3_large_minimal_100.in1k,1.627,98.373,17.120,82.880,3.92,224,0.875,bilinear,-87.343,-79.740,-25 -dla60x_c,1.613,98.387,18.040,81.960,1.32,224,0.875,bilinear,-84.677,-78.120,-7 -mobilenetv2_050.lamb_in1k,1.613,98.387,14.200,85.800,1.97,224,0.875,bicubic,-82.277,-80.520,+1 -vgg11,1.560,98.440,16.227,83.773,132.86,224,0.875,bilinear,-84.990,-80.053,-10 -gluon_resnet18_v1b,1.547,98.453,16.613,83.387,11.69,224,0.875,bicubic,-86.853,-80.067,-20 -hrnet_w18_small,1.533,98.467,18.120,81.880,13.19,224,0.875,bilinear,-87.517,-78.990,-33 -dla46_c,1.520,98.480,15.267,84.733,1.30,224,0.875,bilinear,-82.130,-79.653,-2 -regnetx_002,1.373,98.627,15.027,84.973,2.68,224,0.875,bicubic,-84.817,-80.953,-11 -resnet18,1.160,98.840,16.213,83.787,11.69,224,0.875,bilinear,-86.230,-80.077,-20 -tf_mobilenetv3_small_minimal_100.in1k,1.013,98.987,11.493,88.507,2.04,224,0.875,bilinear,-80.367,-82.177,-1 -tv_resnet50,0.000,100.000,14.453,85.547,25.56,224,0.875,bilinear,-91.880,-83.587,-101 +eva02_large_patch14_448.mim_m38m_ft_in22k_in1k,88.227,11.773,97.093,2.907,305.08,448,1.000,bicubic,-10.623,-2.787,+1 +eva02_large_patch14_448.mim_in22k_ft_in22k_in1k,87.920,12.080,96.920,3.080,305.08,448,1.000,bicubic,-11.010,-2.990,-1 +eva_giant_patch14_560.m30m_ft_in22k_in1k,87.573,12.427,96.893,3.107,"1,014.45",560,1.000,bicubic,-11.257,-3.007,+1 +eva02_large_patch14_448.mim_m38m_ft_in1k,87.107,12.893,96.280,3.720,305.08,448,1.000,bicubic,-11.623,-3.590,+5 +eva02_large_patch14_448.mim_in22k_ft_in1k,86.227,13.773,95.787,4.213,305.08,448,1.000,bicubic,-12.613,-4.043,-2 +eva_giant_patch14_336.clip_ft_in1k,85.307,14.693,95.720,4.280,"1,013.01",336,1.000,bicubic,-13.513,-4.090,-1 +eva_giant_patch14_336.m30m_ft_in22k_in1k,85.147,14.853,96.360,3.640,"1,013.01",336,1.000,bicubic,-13.663,-3.540,-1 +tf_efficientnet_l2.ns_jft_in1k,84.747,15.253,96.147,3.853,480.31,800,0.960,bicubic,-13.803,-3.673,+9 +regnety_1280.swag_ft_in1k,83.907,16.093,96.200,3.800,644.81,384,1.000,bicubic,-14.543,-3.610,+18 +eva_large_patch14_336.in22k_ft_in22k_in1k,83.840,16.160,95.333,4.667,304.53,336,1.000,bicubic,-14.900,-4.477,-3 +convnextv2_huge.fcmae_ft_in22k_in1k_512,83.827,16.173,96.173,3.827,660.29,512,1.000,bicubic,-14.773,-3.697,+4 +maxvit_xlarge_tf_512.in21k_ft_in1k,83.400,16.600,95.520,4.480,475.77,512,1.000,bicubic,-15.220,-4.270,+1 +tf_efficientnet_l2.ns_jft_in1k_475,83.387,16.613,95.453,4.547,480.31,475,0.936,bicubic,-15.113,-4.327,+8 +eva_large_patch14_336.in22k_ft_in1k,82.760,17.240,95.507,4.493,304.53,336,1.000,bicubic,-15.970,-4.283,-6 +maxvit_large_tf_512.in21k_ft_in1k,81.733,18.267,95.027,4.973,212.33,512,1.000,bicubic,-16.887,-4.773,-1 +beit_large_patch16_512.in22k_ft_in22k_in1k,81.600,18.400,94.880,5.120,305.67,512,1.000,bicubic,-16.960,-4.960,0 +maxvit_base_tf_512.in21k_ft_in1k,81.360,18.640,94.467,5.533,119.88,512,1.000,bicubic,-17.260,-5.333,-5 +eva_giant_patch14_224.clip_ft_in1k,81.213,18.787,94.333,5.667,"1,012.56",224,0.900,bicubic,-17.247,-5.417,+8 +maxvit_xlarge_tf_384.in21k_ft_in1k,81.080,18.920,94.640,5.360,475.32,384,1.000,bicubic,-17.420,-5.190,+3 +convnextv2_huge.fcmae_ft_in22k_in1k_384,79.893,20.107,94.640,5.360,660.29,384,1.000,bicubic,-18.777,-5.220,-10 +deit3_large_patch16_384.fb_in22k_ft_in1k,79.187,20.813,93.613,6.387,304.76,384,1.000,bicubic,-19.273,-6.147,+4 +beit_large_patch16_384.in22k_ft_in22k_in1k,79.107,20.893,94.267,5.733,305.00,384,1.000,bicubic,-19.413,-5.553,-3 +caformer_b36.sail_in22k_ft_in1k_384,78.360,21.640,93.453,6.547,98.75,384,1.000,bicubic,-20.090,-6.417,+5 +maxvit_large_tf_384.in21k_ft_in1k,78.013,21.987,93.267,6.733,212.03,384,1.000,bicubic,-20.477,-6.483,-1 +eva02_base_patch14_448.mim_in22k_ft_in1k,77.560,22.440,93.120,6.880,87.12,448,1.000,bicubic,-20.880,-6.680,+4 +vit_large_patch14_clip_336.openai_ft_in12k_in1k,77.333,22.667,93.613,6.387,304.53,336,1.000,bicubic,-20.937,-6.157,+14 +convnext_xxlarge.clip_laion2b_soup_ft_in1k,77.120,22.880,94.320,5.680,846.47,256,1.000,bicubic,-21.320,-5.500,+3 +eva02_base_patch14_448.mim_in22k_ft_in22k_in1k,76.893,23.107,92.707,7.293,87.12,448,1.000,bicubic,-21.747,-7.093,-17 +maxvit_base_tf_384.in21k_ft_in1k,76.853,23.147,92.600,7.400,119.65,384,1.000,bicubic,-21.667,-7.150,-9 +beitv2_large_patch16_224.in1k_ft_in22k_in1k,76.773,23.227,93.173,6.827,304.43,224,0.950,bicubic,-21.767,-6.587,-12 +eva_large_patch14_196.in22k_ft_in22k_in1k,75.533,24.467,91.760,8.240,304.14,196,1.000,bicubic,-22.897,-8.010,0 +regnety_1280.swag_lc_in1k,74.587,25.413,91.680,8.320,644.81,224,0.965,bicubic,-23.063,-7.890,+77 +maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k,74.267,25.733,90.827,9.173,116.14,384,1.000,bicubic,-23.903,-8.933,+18 +vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,74.240,25.760,92.253,7.747,632.46,336,1.000,bicubic,-24.180,-7.557,-1 +regnety_320.swag_ft_in1k,74.200,25.800,92.960,7.040,145.05,384,1.000,bicubic,-23.860,-6.800,+29 +swinv2_large_window12to24_192to384.ms_in22k_ft_in1k,73.933,26.067,91.733,8.267,196.74,384,1.000,bicubic,-24.197,-7.977,+20 +eva_large_patch14_196.in22k_ft_in1k,73.133,26.867,91.427,8.573,304.14,196,1.000,bicubic,-25.227,-8.393,-2 +caformer_m36.sail_in22k_ft_in1k_384,72.973,27.027,90.600,9.400,56.20,384,1.000,bicubic,-25.177,-9.150,+17 +vit_large_patch14_clip_224.openai_ft_in12k_in1k,72.293,27.707,90.880,9.120,304.20,224,1.000,bicubic,-25.927,-8.840,+7 +convnextv2_large.fcmae_ft_in22k_in1k_384,72.067,27.933,91.013,8.987,197.96,384,1.000,bicubic,-26.333,-8.747,-6 +vit_large_patch14_clip_224.openai_ft_in1k,71.813,28.187,91.453,8.547,304.20,224,1.000,bicubic,-26.357,-8.207,+12 +vit_large_patch14_clip_336.laion2b_ft_in12k_in1k,71.800,28.200,90.227,9.773,304.53,336,1.000,bicubic,-26.540,-9.533,-5 +convformer_b36.sail_in22k_ft_in1k_384,71.547,28.453,90.240,9.760,99.88,384,1.000,bicubic,-26.713,-9.590,-2 +vit_large_patch16_384.augreg_in21k_ft_in1k,71.227,28.773,89.773,10.227,304.72,384,1.000,bicubic,-26.993,-9.947,+1 +deit3_base_patch16_384.fb_in22k_ft_in1k,71.213,28.787,89.933,10.067,86.88,384,1.000,bicubic,-26.627,-9.737,+41 +swinv2_base_window12to24_192to384.ms_in22k_ft_in1k,71.200,28.800,91.320,8.680,87.92,384,1.000,bicubic,-26.920,-8.420,+11 +convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384,70.720,29.280,90.547,9.453,200.13,384,1.000,bicubic,-27.760,-9.233,-23 +vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k,70.680,29.320,90.400,9.600,632.05,224,1.000,bicubic,-27.620,-9.360,-10 +coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k,70.600,29.400,89.227,10.773,73.88,384,1.000,bicubic,-27.470,-10.533,+14 +caformer_s36.sail_in22k_ft_in1k_384,70.333,29.667,90.067,9.933,39.30,384,1.000,bicubic,-27.637,-9.653,+21 +deit3_huge_patch14_224.fb_in22k_ft_in1k,70.253,29.747,90.707,9.293,632.13,224,1.000,bicubic,-27.917,-9.053,+1 +convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320,69.880,30.120,90.493,9.507,200.13,320,1.000,bicubic,-28.400,-9.277,-13 +swin_large_patch4_window12_384.ms_in22k_ft_in1k,69.640,30.360,89.547,10.453,196.74,384,1.000,bicubic,-28.410,-10.143,+13 +volo_d5_512.sail_in1k,69.587,30.413,90.427,9.573,296.09,512,1.150,bicubic,-28.183,-9.243,+44 +convnext_xlarge.fb_in22k_ft_in1k_384,69.320,30.680,89.307,10.693,350.20,384,1.000,bicubic,-29.100,-10.503,-23 +caformer_b36.sail_in22k_ft_in1k,69.133,30.867,89.600,10.400,98.75,224,1.000,bicubic,-29.027,-10.180,-2 +maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k,69.067,30.933,89.880,10.120,116.09,384,1.000,bicubic,-29.193,-9.900,-15 +deit3_large_patch16_224.fb_in22k_ft_in1k,68.693,31.307,89.973,10.027,304.37,224,1.000,bicubic,-29.477,-9.757,-8 +beit_large_patch16_224.in22k_ft_in22k_in1k,68.467,31.533,89.573,10.427,304.43,224,0.900,bicubic,-29.713,-10.187,-10 +regnety_160.swag_ft_in1k,68.093,31.907,90.720,9.280,83.59,384,1.000,bicubic,-29.687,-8.880,+34 +convnextv2_large.fcmae_ft_in22k_in1k,68.093,31.907,89.720,10.280,197.96,288,1.000,bicubic,-29.997,-10.050,0 +volo_d5_448.sail_in1k,68.080,31.920,89.720,10.280,295.91,448,1.150,bicubic,-29.670,-9.830,+38 +maxvit_base_tf_512.in1k,67.933,32.067,88.493,11.507,119.88,512,1.000,bicubic,-29.797,-11.117,+39 +maxvit_large_tf_512.in1k,67.880,32.120,87.653,12.347,212.33,512,1.000,bicubic,-29.950,-11.907,+25 +tf_efficientnetv2_xl.in21k_ft_in1k,67.800,32.200,87.347,12.653,208.12,512,1.000,bicubic,-30.100,-12.223,+15 +beitv2_large_patch16_224.in1k_ft_in1k,67.640,32.360,88.667,11.333,304.43,224,0.950,bicubic,-30.270,-10.993,+10 +swinv2_large_window12to16_192to256.ms_in22k_ft_in1k,67.320,32.680,88.000,12.000,196.74,256,0.900,bicubic,-30.530,-11.640,+17 +vit_large_patch14_clip_336.laion2b_ft_in1k,67.093,32.907,89.493,10.507,304.53,336,1.000,bicubic,-31.127,-10.307,-21 +tf_efficientnet_b7.ns_jft_in1k,67.027,32.973,88.667,11.333,66.35,600,0.949,bicubic,-30.893,-11.053,+6 +vit_large_patch14_clip_224.laion2b_ft_in12k_in1k,67.013,32.987,87.973,12.027,304.20,224,1.000,bicubic,-31.057,-11.747,-8 +convnext_xlarge.fb_in22k_ft_in1k,66.960,33.040,88.947,11.053,350.20,288,1.000,bicubic,-31.150,-10.833,-12 +convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384,66.880,33.120,89.280,10.720,200.13,384,1.000,bicubic,-31.370,-10.480,-29 +convformer_m36.sail_in22k_ft_in1k_384,66.840,33.160,87.813,12.187,57.05,384,1.000,bicubic,-31.200,-11.937,-5 +convnextv2_base.fcmae_ft_in22k_in1k_384,66.787,33.213,88.893,11.107,88.72,384,1.000,bicubic,-31.563,-10.877,-38 +volo_d4_448.sail_in1k,66.667,33.333,88.987,11.013,193.41,448,1.150,bicubic,-31.003,-10.623,+31 +seresnextaa101d_32x8d.sw_in12k_ft_in1k_288,65.987,34.013,87.880,12.120,93.59,320,1.000,bicubic,-31.983,-11.820,-4 +beit_base_patch16_384.in22k_ft_in22k_in1k,65.920,34.080,88.507,11.493,86.74,384,1.000,bicubic,-31.900,-11.193,+13 +regnety_320.swag_lc_in1k,65.587,34.413,88.080,11.920,145.05,224,0.965,bicubic,-31.573,-11.590,+105 +convnext_large.fb_in22k_ft_in1k_384,65.533,34.467,87.467,12.533,197.77,384,1.000,bicubic,-32.707,-12.283,-35 +vit_huge_patch14_clip_224.laion2b_ft_in1k,65.493,34.507,87.720,12.280,632.05,224,1.000,bicubic,-32.527,-12.000,-11 +volo_d3_448.sail_in1k,65.400,34.600,87.573,12.427,86.63,448,1.000,bicubic,-32.150,-11.987,+43 +convnext_large.fb_in22k_ft_in1k,65.000,35.000,87.947,12.053,197.77,288,1.000,bicubic,-33.120,-11.833,-24 +tf_efficientnetv2_l.in21k_ft_in1k,64.947,35.053,87.840,12.160,118.52,480,1.000,bicubic,-32.853,-11.820,+10 +swin_base_patch4_window12_384.ms_in22k_ft_in1k,64.467,35.533,87.520,12.480,87.90,384,1.000,bicubic,-33.433,-12.150,-6 +convnextv2_huge.fcmae_ft_in1k,64.440,35.560,87.080,12.920,660.29,288,1.000,bicubic,-33.460,-12.630,-6 +maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k,64.187,35.813,85.520,14.480,116.14,224,0.950,bicubic,-33.623,-14.130,+6 +vit_base_patch16_384.augreg_in21k_ft_in1k,63.693,36.307,86.693,13.307,86.86,384,1.000,bicubic,-34.147,-12.977,+1 +maxvit_large_tf_384.in1k,63.507,36.493,85.107,14.893,212.03,384,1.000,bicubic,-34.063,-14.563,+35 +swinv2_base_window12to16_192to256.ms_in22k_ft_in1k,63.307,36.693,87.507,12.493,87.92,256,0.900,bicubic,-34.353,-12.103,+18 +convnextv2_base.fcmae_ft_in22k_in1k,62.893,37.107,87.667,12.333,88.72,288,1.000,bicubic,-35.167,-12.193,-25 +maxvit_small_tf_512.in1k,62.853,37.147,86.307,13.693,69.13,512,1.000,bicubic,-34.897,-13.313,+10 +maxvit_base_tf_384.in1k,62.613,37.387,85.187,14.813,119.65,384,1.000,bicubic,-34.957,-14.343,+30 +convformer_b36.sail_in22k_ft_in1k,62.600,37.400,85.467,14.533,99.88,224,1.000,bicubic,-35.340,-14.293,-19 +cait_m48_448.fb_dist_in1k,62.373,37.627,86.453,13.547,356.46,448,1.000,bicubic,-35.107,-13.147,+41 +convnext_base.fb_in22k_ft_in1k_384,62.360,37.640,86.240,13.760,88.59,384,1.000,bicubic,-35.720,-13.410,-34 +tf_efficientnet_b6.ns_jft_in1k,62.227,37.773,85.160,14.840,43.04,528,0.942,bicubic,-35.393,-14.390,+18 +caformer_b36.sail_in1k_384,62.160,37.840,84.493,15.507,98.75,384,1.000,bicubic,-35.340,-15.147,+35 +vit_base_patch8_224.augreg2_in21k_ft_in1k,62.027,37.973,85.840,14.160,86.58,224,0.900,bicubic,-35.663,-13.810,+7 +convformer_s36.sail_in22k_ft_in1k_384,61.920,38.080,85.960,14.040,40.01,384,1.000,bicubic,-35.930,-13.690,-14 +beitv2_base_patch16_224.in1k_ft_in22k_in1k,61.667,38.333,85.480,14.520,86.53,224,0.900,bicubic,-36.023,-14.200,+4 +vit_large_r50_s32_384.augreg_in21k_ft_in1k,61.493,38.507,84.027,15.973,329.09,384,1.000,bicubic,-36.367,-15.643,-18 +seresnextaa101d_32x8d.sw_in12k_ft_in1k,61.080,38.920,85.920,14.080,93.59,288,1.000,bicubic,-36.830,-13.740,-26 +caformer_m36.sail_in22k_ft_in1k,61.080,38.920,84.893,15.107,56.20,224,1.000,bicubic,-36.760,-14.787,-15 +swin_large_patch4_window7_224.ms_in22k_ft_in1k,61.000,39.000,85.867,14.133,196.53,224,0.900,bicubic,-36.650,-13.703,+7 +convnext_base.fb_in22k_ft_in1k,60.893,39.107,86.147,13.853,88.59,288,1.000,bicubic,-36.967,-13.533,-23 +resnetv2_152x4_bit.goog_in21k_ft_in1k,60.773,39.227,83.560,16.440,936.53,480,1.000,bilinear,-36.717,-16.050,+27 +convnext_small.in12k_ft_in1k_384,60.733,39.267,84.960,15.040,50.22,384,1.000,bicubic,-37.067,-14.810,-13 +convnext_large_mlp.clip_laion2b_augreg_ft_in1k,60.547,39.453,86.293,13.707,200.13,256,1.000,bicubic,-37.403,-13.417,-35 +deit3_large_patch16_384.fb_in1k,60.533,39.467,85.720,14.280,304.76,384,1.000,bicubic,-36.887,-13.850,+34 +caformer_m36.sail_in1k_384,60.533,39.467,84.760,15.240,56.20,384,1.000,bicubic,-36.907,-14.880,+33 +tf_efficientnet_b5.ns_jft_in1k,60.320,39.680,84.453,15.547,30.39,456,0.934,bicubic,-37.180,-15.127,+20 +vit_base_patch16_clip_384.openai_ft_in12k_in1k,60.240,39.760,84.613,15.387,86.86,384,0.950,bicubic,-37.950,-15.047,-64 +regnety_160.swag_lc_in1k,60.133,39.867,85.773,14.227,83.59,224,0.965,bicubic,-36.687,-13.877,+127 +coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k,59.973,40.027,83.760,16.240,73.88,224,0.950,bicubic,-37.677,-15.880,-4 +vit_large_patch14_clip_224.laion2b_ft_in1k,59.947,40.053,85.667,14.333,304.20,224,1.000,bicubic,-37.943,-13.983,-34 +xcit_large_24_p8_384.fb_dist_in1k,59.947,40.053,85.467,14.533,188.93,384,1.000,bicubic,-37.573,-14.073,+13 +coatnet_2_rw_224.sw_in12k_ft_in1k,59.520,40.480,84.227,15.773,73.87,224,0.950,bicubic,-38.000,-15.373,+11 +tf_efficientnetv2_m.in21k_ft_in1k,59.413,40.587,84.560,15.440,54.14,480,1.000,bicubic,-38.407,-15.040,-27 +maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k,59.160,40.840,84.480,15.520,116.09,224,0.950,bicubic,-38.600,-15.220,-20 +vit_base_patch16_clip_384.laion2b_ft_in12k_in1k,59.147,40.853,83.280,16.720,86.86,384,1.000,bicubic,-38.843,-16.380,-50 +vit_base_patch8_224.augreg_in21k_ft_in1k,58.973,41.027,82.733,17.267,86.58,224,0.900,bicubic,-38.597,-16.857,0 +maxvit_tiny_tf_512.in1k,58.800,41.200,84.573,15.427,31.05,512,1.000,bicubic,-38.780,-14.987,-2 +caformer_s18.sail_in22k_ft_in1k_384,58.640,41.360,85.347,14.653,26.34,384,1.000,bicubic,-38.780,-14.273,+22 +volo_d2_384.sail_in1k,58.600,41.400,84.253,15.747,58.87,384,1.000,bicubic,-38.720,-15.347,+34 +convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384,58.253,41.747,85.480,14.520,88.59,384,1.000,bicubic,-39.787,-14.210,-58 +resnext101_32x32d.fb_wsl_ig1b_ft_in1k,58.040,41.960,80.640,19.360,468.53,224,0.875,bilinear,-39.330,-19.040,+26 +cait_m36_384.fb_dist_in1k,57.853,42.147,84.840,15.160,271.22,384,1.000,bicubic,-39.547,-14.670,+22 +dm_nfnet_f5.dm_in1k,57.640,42.360,82.280,17.720,377.21,544,0.954,bicubic,-40.140,-17.480,-31 +dm_nfnet_f6.dm_in1k,57.560,42.440,82.360,17.640,438.36,576,0.956,bicubic,-40.220,-17.290,-33 +caformer_s36.sail_in1k_384,57.347,42.653,82.787,17.213,39.30,384,1.000,bicubic,-40.043,-16.753,+20 +deit3_base_patch16_224.fb_in22k_ft_in1k,57.267,42.733,83.520,16.480,86.59,224,1.000,bicubic,-40.213,-16.030,+3 +volo_d5_224.sail_in1k,57.107,42.893,82.733,17.267,295.46,224,0.960,bicubic,-40.273,-16.837,+19 +deit3_small_patch16_384.fb_in22k_ft_in1k,57.093,42.907,83.080,16.920,22.21,384,1.000,bicubic,-40.037,-16.420,+54 +convnext_base.clip_laiona_augreg_ft_in1k_384,57.080,42.920,84.773,15.227,88.59,384,1.000,bicubic,-40.540,-14.807,-19 +convnextv2_large.fcmae_ft_in1k,56.880,43.120,83.467,16.533,197.96,288,1.000,bicubic,-40.780,-16.253,-27 +regnety_160.lion_in12k_ft_in1k,56.733,43.267,83.440,16.560,83.59,288,1.000,bicubic,-40.717,-16.160,+2 +dm_nfnet_f4.dm_in1k,56.707,43.293,81.760,18.240,316.07,512,0.951,bicubic,-40.933,-17.780,-25 +xcit_medium_24_p8_384.fb_dist_in1k,56.693,43.307,83.453,16.547,84.32,384,1.000,bicubic,-40.587,-16.067,+27 +maxvit_small_tf_384.in1k,56.587,43.413,82.280,17.720,69.02,384,1.000,bicubic,-40.843,-17.230,+4 +regnety_160.sw_in12k_ft_in1k,56.253,43.747,82.853,17.147,83.59,288,1.000,bicubic,-41.197,-16.737,-1 +convformer_m36.sail_in22k_ft_in1k,55.867,44.133,81.813,18.187,57.05,224,1.000,bicubic,-41.733,-17.807,-23 +caformer_s36.sail_in22k_ft_in1k,55.813,44.187,82.120,17.880,39.30,224,1.000,bicubic,-41.787,-17.600,-23 +vit_large_patch16_224.augreg_in21k_ft_in1k,55.560,44.440,80.080,19.920,304.33,224,0.900,bicubic,-42.070,-19.510,-30 +convformer_b36.sail_in1k_384,55.453,44.547,81.293,18.707,99.88,384,1.000,bicubic,-42.077,-18.227,-18 +vit_base_patch16_clip_384.openai_ft_in1k,54.973,45.027,82.587,17.413,86.86,384,1.000,bicubic,-42.567,-17.073,-20 +vit_base_r50_s16_384.orig_in21k_ft_in1k,54.627,45.373,81.213,18.787,98.95,384,1.000,bicubic,-42.563,-18.327,+34 +cait_s36_384.fb_dist_in1k,54.360,45.640,81.373,18.627,68.37,384,1.000,bicubic,-42.970,-18.167,+10 +volo_d1_384.sail_in1k,54.333,45.667,81.000,19.000,26.78,384,1.000,bicubic,-42.577,-18.460,+79 +deit3_huge_patch14_224.fb_in1k,54.320,45.680,82.093,17.907,632.13,224,0.900,bicubic,-42.580,-17.127,+80 +xcit_small_24_p8_384.fb_dist_in1k,54.253,45.747,81.547,18.453,47.63,384,1.000,bicubic,-42.987,-18.003,+19 +vit_base_patch16_clip_384.laion2b_ft_in1k,54.253,45.747,80.880,19.120,86.86,384,1.000,bicubic,-43.467,-18.750,-47 +vit_medium_patch16_gap_384.sw_in12k_ft_in1k,54.187,45.813,81.640,18.360,39.03,384,0.950,bicubic,-43.253,-17.960,-11 +resnetv2_101x3_bit.goog_in21k_ft_in1k,54.027,45.973,81.027,18.973,387.93,448,1.000,bilinear,-42.953,-18.463,+62 +resnetv2_152x2_bit.goog_in21k_ft_in1k,54.013,45.987,82.000,18.000,236.34,448,1.000,bilinear,-42.987,-17.590,+57 +beitv2_base_patch16_224.in1k_ft_in1k,53.813,46.187,81.853,18.147,86.53,224,0.900,bicubic,-43.357,-17.617,+27 +dm_nfnet_f3.dm_in1k,53.773,46.227,79.840,20.160,254.92,416,0.940,bicubic,-43.697,-19.720,-20 +convformer_m36.sail_in1k_384,53.547,46.453,80.733,19.267,57.05,384,1.000,bicubic,-43.863,-18.867,-9 +deit3_base_patch16_384.fb_in1k,53.413,46.587,80.533,19.467,86.88,384,1.000,bicubic,-43.617,-18.857,+50 +convnext_small.in12k_ft_in1k,53.240,46.760,81.400,18.600,50.22,288,1.000,bicubic,-44.110,-18.180,-4 +resnext101_32x16d.fb_wsl_ig1b_ft_in1k,53.067,46.933,76.907,23.093,194.03,224,0.875,bilinear,-43.743,-22.693,+81 +volo_d4_224.sail_in1k,52.987,47.013,80.427,19.573,192.96,224,0.960,bicubic,-44.293,-19.113,+3 +xcit_large_24_p16_384.fb_dist_in1k,52.853,47.147,81.827,18.173,189.10,384,1.000,bicubic,-44.667,-17.653,-32 +convnext_small.fb_in22k_ft_in1k_384,52.427,47.573,80.813,19.187,50.22,384,1.000,bicubic,-45.183,-18.787,-47 +convnext_base.clip_laion2b_augreg_ft_in12k_in1k,52.320,47.680,82.480,17.520,88.59,256,1.000,bicubic,-45.280,-17.130,-47 +vit_base_patch32_clip_448.laion2b_ft_in12k_in1k,52.320,47.680,79.733,20.267,88.34,448,1.000,bicubic,-44.990,-19.747,-5 +maxvit_tiny_tf_384.in1k,52.080,47.920,79.813,20.187,30.98,384,1.000,bicubic,-45.230,-19.687,-7 +regnety_120.sw_in12k_ft_in1k,51.813,48.187,80.787,19.213,51.82,288,1.000,bicubic,-45.467,-18.743,-4 +swin_base_patch4_window7_224.ms_in22k_ft_in1k,51.440,48.560,80.080,19.920,87.77,224,0.900,bicubic,-45.840,-19.510,-6 +tf_efficientnet_b4.ns_jft_in1k,51.267,48.733,79.173,20.827,19.34,380,0.922,bicubic,-45.683,-20.087,+51 +efficientnet_b5.sw_in12k_ft_in1k,51.227,48.773,78.880,21.120,30.39,448,1.000,bicubic,-46.183,-20.670,-23 +resnext101_32x8d.fb_swsl_ig1b_ft_in1k,51.213,48.787,78.240,21.760,88.79,224,0.875,bilinear,-45.997,-21.330,+5 +flexivit_large.1200ep_in1k,51.200,48.800,80.640,19.360,304.36,240,0.950,bicubic,-46.210,-18.830,-27 +eva02_small_patch14_336.mim_in22k_ft_in1k,51.200,48.800,79.120,20.880,22.13,336,1.000,bicubic,-45.940,-20.350,+14 +resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384,51.120,48.880,78.533,21.467,236.34,384,1.000,bicubic,-45.710,-20.877,+64 +convnext_small.fb_in22k_ft_in1k,51.067,48.933,80.920,19.080,50.22,288,1.000,bicubic,-46.293,-18.610,-22 +mvitv2_large.fb_in1k,50.867,49.133,78.493,21.507,217.99,224,0.900,bicubic,-46.063,-20.907,+48 +beit_base_patch16_224.in22k_ft_in22k_in1k,50.720,49.280,79.733,20.267,86.53,224,0.900,bicubic,-46.360,-19.877,+18 +tf_efficientnetv2_l.in1k,50.693,49.307,77.613,22.387,118.52,480,1.000,bicubic,-46.777,-21.917,-41 +vit_base_patch16_384.orig_in21k_ft_in1k,50.640,49.360,78.200,21.800,86.86,384,1.000,bicubic,-46.080,-21.280,+75 +xcit_small_12_p8_384.fb_dist_in1k,50.587,49.413,79.573,20.427,26.21,384,1.000,bicubic,-46.643,-19.907,-7 +convformer_s36.sail_in1k_384,50.333,49.667,78.893,21.107,40.01,384,1.000,bicubic,-46.947,-20.577,-14 +convnext_tiny.in12k_ft_in1k_384,50.320,49.680,79.800,20.200,28.59,384,1.000,bicubic,-47.020,-19.800,-26 +volo_d3_224.sail_in1k,50.293,49.707,78.213,21.787,86.33,224,0.960,bicubic,-46.797,-21.247,+11 +flexivit_large.600ep_in1k,50.253,49.747,80.027,19.973,304.36,240,0.950,bicubic,-47.027,-19.403,-23 +vit_base_patch16_clip_224.laion2b_ft_in12k_in1k,50.120,49.880,78.040,21.960,86.57,224,0.950,bicubic,-47.330,-21.500,-45 +convformer_s18.sail_in22k_ft_in1k_384,50.067,49.933,80.973,19.027,26.77,384,1.000,bicubic,-47.203,-18.577,-18 +vit_base_patch16_224.augreg2_in21k_ft_in1k,49.813,50.187,78.960,21.040,86.57,224,0.900,bicubic,-47.337,-20.490,-3 +vit_base_patch16_clip_224.openai_ft_in12k_in1k,49.813,50.187,77.133,22.867,86.57,224,0.950,bicubic,-47.717,-22.367,-61 +cait_s24_384.fb_dist_in1k,49.733,50.267,78.760,21.240,47.06,384,1.000,bicubic,-47.337,-20.670,+14 +deit_base_distilled_patch16_384.fb_in1k,49.347,50.653,79.240,20.760,87.63,384,1.000,bicubic,-47.613,-20.240,+27 +xcit_medium_24_p16_384.fb_dist_in1k,49.333,50.667,79.867,20.133,84.40,384,1.000,bicubic,-47.947,-19.643,-25 +caformer_s18.sail_in1k_384,49.133,50.867,78.693,21.307,26.34,384,1.000,bicubic,-47.947,-20.797,+10 +coat_lite_medium_384.in1k,49.093,50.907,78.600,21.400,44.57,384,1.000,bicubic,-48.057,-20.940,-8 +tf_efficientnet_b8.ra_in1k,48.920,51.080,77.227,22.773,87.41,672,0.954,bicubic,-48.280,-22.273,-15 +convnextv2_base.fcmae_ft_in1k,48.693,51.307,78.827,21.173,88.72,288,1.000,bicubic,-48.527,-20.713,-21 +deit3_large_patch16_224.fb_in1k,48.627,51.373,78.120,21.880,304.37,224,0.900,bicubic,-48.313,-21.140,+26 +caformer_b36.sail_in1k,48.533,51.467,75.667,24.333,98.75,224,1.000,bicubic,-48.457,-23.673,+16 +flexivit_large.300ep_in1k,48.520,51.480,78.653,21.347,304.36,240,0.950,bicubic,-48.730,-20.837,-29 +convnext_base.clip_laion2b_augreg_ft_in1k,48.453,51.547,79.827,20.173,88.59,256,1.000,bicubic,-48.787,-19.693,-28 +tf_efficientnetv2_s.in21k_ft_in1k,48.427,51.573,77.867,22.133,21.46,384,1.000,bicubic,-48.303,-21.463,+52 +resnest269e.in1k,48.213,51.787,74.333,25.667,110.93,416,0.928,bicubic,-48.297,-25.017,+101 +deit3_medium_patch16_224.fb_in22k_ft_in1k,48.173,51.827,77.040,22.960,38.85,224,1.000,bicubic,-48.797,-22.390,+14 +xcit_large_24_p8_224.fb_dist_in1k,48.160,51.840,79.093,20.907,188.93,224,1.000,bicubic,-48.910,-20.327,+1 +vit_base_patch32_clip_384.laion2b_ft_in12k_in1k,47.973,52.027,76.853,23.147,88.30,384,1.000,bicubic,-49.387,-22.667,-50 +regnety_2560.seer_ft_in1k,47.920,52.080,76.787,23.213,"1,282.60",384,1.000,bicubic,-49.300,-22.733,-30 +regnetz_e8.ra3_in1k,47.800,52.200,76.200,23.800,57.70,320,1.000,bicubic,-49.400,-23.300,-28 +convnext_tiny.in12k_ft_in1k,47.507,52.493,78.747,21.253,28.59,288,1.000,bicubic,-49.553,-20.803,-2 +convformer_s36.sail_in22k_ft_in1k,47.440,52.560,77.107,22.893,40.01,224,1.000,bicubic,-49.640,-22.453,-11 +resnetv2_50x3_bit.goog_in21k_ft_in1k,47.307,52.693,77.333,22.667,217.32,448,1.000,bilinear,-49.403,-22.147,+47 +vit_base_patch16_clip_224.openai_ft_in1k,47.200,52.800,77.547,22.453,86.57,224,0.900,bicubic,-49.880,-21.923,-10 +xcit_large_24_p8_224.fb_in1k,47.160,52.840,74.480,25.520,188.93,224,1.000,bicubic,-49.240,-24.510,+106 +xcit_small_24_p16_384.fb_dist_in1k,46.987,53.013,77.160,22.840,47.67,384,1.000,bicubic,-50.133,-22.290,-23 +tf_efficientnet_b8.ap_in1k,46.893,53.107,76.533,23.467,87.41,672,0.954,bicubic,-50.217,-23.127,-23 +convnext_large.fb_in1k,46.813,53.187,76.627,23.373,197.77,288,1.000,bicubic,-50.287,-22.883,-21 +dm_nfnet_f2.dm_in1k,46.653,53.347,74.813,25.187,193.78,352,0.920,bicubic,-50.447,-24.637,-23 +efficientnetv2_rw_m.agc_in1k,46.293,53.707,75.720,24.280,53.24,416,1.000,bicubic,-50.687,-23.810,-2 +swinv2_base_window16_256.ms_in1k,46.213,53.787,75.173,24.827,87.92,256,0.900,bicubic,-50.537,-24.177,+32 +resnext101_32x16d.fb_swsl_ig1b_ft_in1k,46.120,53.880,72.240,27.760,194.03,224,0.875,bilinear,-50.480,-27.290,+65 +caformer_m36.sail_in1k,46.080,53.920,74.533,25.467,56.20,224,1.000,bicubic,-50.810,-24.997,+13 +volo_d2_224.sail_in1k,46.067,53.933,75.253,24.747,58.68,224,0.960,bicubic,-50.933,-24.137,-8 +vit_small_patch16_384.augreg_in21k_ft_in1k,45.880,54.120,76.747,23.253,22.20,384,1.000,bicubic,-50.820,-22.683,+38 +ecaresnet269d.ra2_in1k,45.853,54.147,75.067,24.933,102.09,352,1.000,bicubic,-51.227,-24.543,-21 +convnextv2_tiny.fcmae_ft_in22k_in1k_384,45.773,54.227,76.973,23.027,28.64,384,1.000,bicubic,-51.467,-22.637,-51 +vit_small_r26_s32_384.augreg_in21k_ft_in1k,45.707,54.293,76.040,23.960,36.47,384,1.000,bicubic,-50.973,-23.040,+45 +tf_efficientnet_b7.ap_in1k,45.387,54.613,74.200,25.800,66.35,600,0.949,bicubic,-51.803,-25.360,-44 +swin_base_patch4_window12_384.ms_in1k,45.333,54.667,74.360,25.640,87.90,384,1.000,bicubic,-51.247,-24.810,+60 +resnext101_32x8d.fb_wsl_ig1b_ft_in1k,45.320,54.680,70.907,29.093,88.79,224,0.875,bilinear,-51.010,-28.443,+102 +xcit_medium_24_p8_224.fb_dist_in1k,45.227,54.773,76.760,23.240,84.32,224,1.000,bicubic,-51.693,-22.640,-2 +eca_nfnet_l2.ra3_in1k,44.987,55.013,75.880,24.120,56.72,384,1.000,bicubic,-52.093,-23.630,-30 +coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k,44.787,55.213,73.747,26.253,41.72,224,0.950,bicubic,-51.853,-25.413,+46 +maxxvit_rmlp_small_rw_256.sw_in1k,44.600,55.400,75.040,24.960,66.01,256,0.950,bicubic,-52.200,-24.340,+11 +crossvit_18_dagger_408.in1k,44.280,55.720,73.813,26.187,44.61,408,1.000,bicubic,-52.260,-25.547,+64 +resnest200e.in1k,44.133,55.867,73.493,26.507,70.20,320,0.909,bicubic,-52.477,-25.857,+49 +seresnextaa101d_32x8d.ah_in1k,43.973,56.027,73.347,26.653,93.59,288,1.000,bicubic,-52.987,-25.903,-16 +cait_xs24_384.fb_dist_in1k,43.947,56.053,75.160,24.840,26.67,384,1.000,bicubic,-52.593,-24.260,+58 +mvitv2_base.fb_in1k,43.747,56.253,74.507,25.493,51.47,224,0.900,bicubic,-53.013,-24.753,+11 +resnetrs200.tf_in1k,43.733,56.267,72.827,27.173,93.21,320,1.000,bicubic,-52.967,-26.543,+25 +rexnetr_300.sw_in12k_ft_in1k,43.653,56.347,76.547,23.453,34.81,288,1.000,bicubic,-53.187,-22.963,-1 +tresnet_xl.miil_in1k_448,43.493,56.507,72.413,27.587,78.44,448,0.875,bilinear,-52.487,-26.637,+162 +caformer_s18.sail_in22k_ft_in1k,43.333,56.667,74.947,25.053,26.34,224,1.000,bicubic,-53.377,-24.603,+17 +xcit_small_12_p16_384.fb_dist_in1k,43.307,56.693,73.933,26.067,26.25,384,1.000,bicubic,-53.613,-25.457,-16 +vit_base_patch16_224.augreg_in21k_ft_in1k,43.280,56.720,72.920,27.080,86.57,224,0.900,bicubic,-53.610,-26.510,-11 +swin_small_patch4_window7_224.ms_in22k_ft_in1k,43.227,56.773,76.187,23.813,49.61,224,0.900,bicubic,-53.253,-23.203,+61 +resnetrs420.tf_in1k,43.147,56.853,70.453,29.547,191.89,416,1.000,bicubic,-53.763,-29.067,-16 +vit_base_patch32_clip_384.openai_ft_in12k_in1k,43.080,56.920,73.253,26.747,88.30,384,0.950,bicubic,-54.030,-26.247,-54 +edgenext_base.in21k_ft_in1k,43.040,56.960,75.440,24.560,18.51,320,1.000,bicubic,-53.690,-23.980,+4 +coatnet_rmlp_2_rw_224.sw_in1k,43.040,56.960,71.707,28.293,73.88,224,0.950,bicubic,-53.500,-27.593,+51 +xcit_medium_24_p8_224.fb_in1k,43.040,56.960,70.320,29.680,84.32,224,1.000,bicubic,-53.050,-28.570,+128 +tf_efficientnet_b7.ra_in1k,42.987,57.013,73.173,26.827,66.35,600,0.949,bicubic,-54.023,-26.347,-39 +tf_efficientnetv2_m.in1k,42.800,57.200,72.600,27.400,54.14,480,1.000,bicubic,-54.410,-26.930,-73 +vit_medium_patch16_gap_256.sw_in12k_ft_in1k,42.693,57.307,74.360,25.640,38.86,256,0.950,bicubic,-53.977,-25.010,+21 +hrnet_w48_ssld.paddle_in1k,42.600,57.400,72.133,27.867,77.47,288,1.000,bilinear,-54.430,-27.257,-45 +dm_nfnet_f1.dm_in1k,42.547,57.453,71.560,28.440,132.63,320,0.910,bicubic,-54.483,-28.080,-44 +xcit_tiny_24_p8_384.fb_dist_in1k,42.453,57.547,72.853,27.147,12.11,384,1.000,bicubic,-54.077,-26.417,+44 +gcvit_base.in1k,42.440,57.560,73.773,26.227,90.32,224,0.875,bicubic,-54.130,-25.687,+36 +swinv2_small_window16_256.ms_in1k,42.360,57.640,72.867,27.133,49.73,256,0.900,bicubic,-54.110,-26.333,+50 +maxvit_rmlp_small_rw_224.sw_in1k,42.227,57.773,72.373,27.627,64.90,224,0.900,bicubic,-54.353,-26.877,+32 +convformer_s18.sail_in1k_384,42.120,57.880,74.453,25.547,26.77,384,1.000,bicubic,-54.920,-24.927,-52 +convnextv2_tiny.fcmae_ft_in22k_in1k,42.093,57.907,75.747,24.253,28.64,288,1.000,bicubic,-54.757,-23.713,-24 +maxvit_base_tf_224.in1k,41.987,58.013,70.093,29.907,119.47,224,0.950,bicubic,-54.963,-29.487,-39 +convnext_base.fb_in1k,41.947,58.053,73.987,26.013,88.59,288,1.000,bicubic,-54.883,-25.463,-22 +xcit_small_24_p8_224.fb_dist_in1k,41.907,58.093,73.653,26.347,47.63,224,1.000,bicubic,-54.963,-25.827,-30 +crossvit_15_dagger_408.in1k,41.907,58.093,72.027,27.973,28.50,408,1.000,bicubic,-54.483,-27.323,+58 +resnetaa101d.sw_in12k_ft_in1k,41.893,58.107,72.387,27.613,44.57,288,1.000,bicubic,-54.807,-26.973,-1 +maxvit_large_tf_224.in1k,41.880,58.120,68.653,31.347,211.79,224,0.950,bicubic,-55.080,-30.737,-46 +xcit_small_24_p8_224.fb_in1k,41.800,58.200,71.093,28.907,47.63,224,1.000,bicubic,-54.610,-28.057,+50 +vit_large_r50_s32_224.augreg_in21k_ft_in1k,41.640,58.360,70.240,29.760,328.99,224,0.900,bicubic,-55.150,-29.100,-23 +vit_base_patch16_clip_224.laion2b_ft_in1k,41.613,58.387,73.613,26.387,86.57,224,1.000,bicubic,-55.517,-25.847,-80 +swinv2_base_window8_256.ms_in1k,41.547,58.453,72.427,27.573,87.92,256,0.900,bicubic,-54.983,-26.893,+30 +resnext101_32x4d.fb_swsl_ig1b_ft_in1k,41.533,58.467,71.707,28.293,44.18,224,0.875,bilinear,-54.887,-27.443,+42 +deit3_small_patch16_224.fb_in22k_ft_in1k,41.227,58.773,71.893,28.107,22.06,224,1.000,bicubic,-55.433,-27.437,+3 +maxvit_rmlp_tiny_rw_256.sw_in1k,41.173,58.827,71.187,28.813,29.15,256,0.950,bicubic,-55.247,-28.193,+41 +regnety_1280.seer_ft_in1k,41.147,58.853,71.200,28.800,644.81,384,1.000,bicubic,-55.713,-28.190,-39 +seresnext101d_32x8d.ah_in1k,41.147,58.853,70.920,29.080,93.59,288,1.000,bicubic,-55.553,-28.560,-10 +convnext_tiny.fb_in22k_ft_in1k_384,41.053,58.947,72.533,27.467,28.59,384,1.000,bicubic,-56.027,-26.977,-77 +caformer_s36.sail_in1k,41.040,58.960,70.880,29.120,39.30,224,1.000,bicubic,-55.650,-28.480,-10 +davit_base.msft_in1k,40.880,59.120,72.747,27.253,87.95,224,0.950,bicubic,-56.060,-26.593,-54 +tf_efficientnet_b6.ap_in1k,40.800,59.200,71.640,28.360,43.04,528,0.942,bicubic,-56.280,-27.780,-82 +flexivit_base.1200ep_in1k,40.613,59.387,72.320,27.680,86.59,240,0.950,bicubic,-56.127,-27.040,-29 +convformer_b36.sail_in1k,40.453,59.547,69.440,30.560,99.88,224,1.000,bicubic,-56.447,-30.040,-50 +resmlp_big_24_224.fb_in22k_ft_in1k,40.373,59.627,74.800,25.200,129.14,224,0.875,bicubic,-56.247,-24.470,-2 +deit3_small_patch16_384.fb_in1k,40.347,59.653,70.333,29.667,22.21,384,1.000,bicubic,-55.853,-28.967,+67 +tresnet_l.miil_in1k_448,40.213,59.787,69.920,30.080,55.99,448,0.875,bilinear,-55.647,-29.280,+140 +deit_base_patch16_384.fb_in1k,40.200,59.800,70.800,29.200,86.86,384,1.000,bicubic,-55.960,-28.440,+75 +regnetz_040_h.ra3_in1k,40.000,60.000,71.320,28.680,28.94,320,1.000,bicubic,-56.700,-27.970,-27 +resnetrs350.tf_in1k,39.973,60.027,68.907,31.093,163.96,384,1.000,bicubic,-56.777,-30.463,-38 +flexivit_base.600ep_in1k,39.933,60.067,71.880,28.120,86.59,240,0.950,bicubic,-56.717,-27.450,-12 +regnetz_d8.ra3_in1k,39.907,60.093,71.707,28.293,23.37,320,1.000,bicubic,-56.713,-27.743,-8 +swin_s3_base_224.ms_in1k,39.853,60.147,70.467,29.533,71.13,224,0.900,bicubic,-56.387,-28.733,+51 +flexivit_base.300ep_in1k,39.533,60.467,71.000,29.000,86.59,240,0.950,bicubic,-57.087,-28.510,-9 +seresnext101_32x8d.ah_in1k,39.520,60.480,69.480,30.520,93.57,288,1.000,bicubic,-57.250,-29.870,-45 +gcvit_small.in1k,39.413,60.587,70.480,29.520,51.09,224,0.875,bicubic,-56.867,-28.660,+44 +regnetz_d8_evos.ch_in1k,39.360,60.640,71.427,28.573,23.46,320,1.000,bicubic,-57.210,-27.803,-3 +deit3_base_patch16_224.fb_in1k,39.173,60.827,70.933,29.067,86.59,224,0.900,bicubic,-57.127,-28.247,+40 +volo_d1_224.sail_in1k,39.013,60.987,70.267,29.733,26.63,224,0.960,bicubic,-57.307,-29.043,+37 +vit_large_patch32_384.orig_in21k_ft_in1k,38.920,61.080,68.933,31.067,306.63,384,1.000,bicubic,-56.910,-30.237,+133 +resnetv2_101x1_bit.goog_in21k_ft_in1k,38.907,61.093,71.040,28.960,44.54,448,1.000,bilinear,-57.193,-28.230,+76 +mvitv2_small.fb_in1k,38.773,61.227,70.413,29.587,34.87,224,0.900,bicubic,-57.597,-28.787,+24 +regnetz_040.ra3_in1k,38.747,61.253,70.440,29.560,27.12,320,1.000,bicubic,-57.973,-29.060,-44 +coat_lite_medium.in1k,38.600,61.400,71.093,28.907,44.57,224,0.900,bicubic,-57.870,-28.147,+7 +xcit_small_12_p8_224.fb_dist_in1k,38.280,61.720,71.373,28.627,26.21,224,1.000,bicubic,-58.420,-27.987,-40 +tf_efficientnet_b7.aa_in1k,38.133,61.867,69.333,30.667,66.35,600,0.949,bicubic,-58.407,-29.927,-8 +resnet200d.ra2_in1k,38.133,61.867,68.573,31.427,64.69,320,1.000,bicubic,-58.597,-30.847,-49 +davit_small.msft_in1k,38.120,61.880,70.747,29.253,49.75,224,0.950,bicubic,-58.510,-28.593,-27 +focalnet_base_srf.ms_in1k,37.827,62.173,69.733,30.267,88.15,224,0.900,bicubic,-58.733,-29.407,-13 +focalnet_base_lrf.ms_in1k,37.787,62.213,68.573,31.427,88.75,224,0.900,bicubic,-58.663,-30.727,+5 +convformer_m36.sail_in1k,37.760,62.240,67.293,32.707,57.05,224,1.000,bicubic,-58.920,-32.287,-36 +swinv2_small_window8_256.ms_in1k,37.733,62.267,69.853,30.147,49.73,256,0.900,bicubic,-58.537,-29.357,+29 +xcit_large_24_p16_224.fb_dist_in1k,37.653,62.347,71.613,28.387,189.10,224,1.000,bicubic,-59.147,-27.737,-67 +seresnet152d.ra2_in1k,37.653,62.347,69.493,30.507,66.84,320,1.000,bicubic,-59.117,-29.947,-64 +maxvit_small_tf_224.in1k,37.560,62.440,67.947,32.053,68.93,224,0.950,bicubic,-59.130,-31.413,-44 +xcit_small_12_p8_224.fb_in1k,37.547,62.453,68.173,31.827,26.21,224,1.000,bicubic,-58.563,-30.987,+60 +eca_nfnet_l1.ra2_in1k,37.533,62.467,70.933,29.067,41.41,320,1.000,bicubic,-59.167,-28.447,-48 +twins_svt_large.in1k,37.213,62.787,69.213,30.787,99.27,224,0.900,bicubic,-59.037,-29.957,+24 +regnetz_d32.ra3_in1k,37.160,62.840,70.480,29.520,27.58,320,0.950,bicubic,-59.430,-28.900,-30 +vit_base_patch32_384.augreg_in21k_ft_in1k,37.107,62.893,69.800,30.200,88.30,384,1.000,bicubic,-59.383,-29.610,-13 +regnety_064.ra3_in1k,37.013,62.987,68.107,31.893,30.58,288,1.000,bicubic,-59.347,-31.123,+7 +swin_s3_small_224.ms_in1k,36.933,63.067,68.253,31.747,49.74,224,0.900,bicubic,-59.297,-30.827,+25 +efficientnetv2_rw_s.ra2_in1k,36.840,63.160,68.320,31.680,23.94,384,1.000,bicubic,-59.700,-30.780,-25 +resnext101_64x4d.c1_in1k,36.840,63.160,66.627,33.373,83.46,288,1.000,bicubic,-59.240,-32.603,+57 +regnety_160.deit_in1k,36.827,63.173,69.120,30.880,83.59,288,1.000,bicubic,-59.523,-30.060,+5 +pit_b_distilled_224.in1k,36.720,63.280,68.093,31.907,74.79,224,0.900,bicubic,-59.510,-31.017,+20 +convnext_small.fb_in1k,36.707,63.293,71.067,28.933,50.22,288,1.000,bicubic,-59.813,-28.273,-23 +pvt_v2_b4.in1k,36.627,63.373,68.653,31.347,62.56,224,0.900,bicubic,-59.723,-30.677,+3 +pvt_v2_b5.in1k,36.280,63.720,68.427,31.573,81.96,224,0.900,bicubic,-60.080,-30.813,0 +cait_xxs36_384.fb_dist_in1k,36.267,63.733,67.733,32.267,17.37,384,1.000,bicubic,-59.563,-31.417,+104 +regnety_640.seer_ft_in1k,36.120,63.880,68.307,31.693,281.38,384,1.000,bicubic,-60.730,-31.113,-91 +nest_base_jx.goog_in1k,36.053,63.947,66.747,33.253,67.72,224,0.875,bicubic,-60.187,-32.383,+11 +coatnet_1_rw_224.sw_in1k,35.973,64.027,67.133,32.867,41.72,224,0.950,bicubic,-60.057,-31.997,+63 +maxvit_tiny_rw_224.sw_in1k,35.960,64.040,65.573,34.427,29.06,224,0.950,bicubic,-60.280,-33.577,+11 +cs3se_edgenet_x.c2ns_in1k,35.653,64.347,67.827,32.173,50.72,320,1.000,bicubic,-60.797,-31.573,-23 +sequencer2d_l.in1k,35.600,64.400,67.360,32.640,54.30,224,0.875,bicubic,-60.550,-31.800,+30 +swin_base_patch4_window7_224.ms_in1k,35.560,64.440,68.160,31.840,87.77,224,0.900,bicubic,-60.560,-30.900,+37 +regnety_080.ra3_in1k,35.547,64.453,67.213,32.787,39.18,288,1.000,bicubic,-60.973,-32.107,-33 +tf_efficientnet_b3.ns_jft_in1k,35.520,64.480,67.773,32.227,12.23,300,0.904,bicubic,-60.870,-31.617,-16 +tf_efficientnet_b6.aa_in1k,35.133,64.867,67.747,32.253,43.04,528,0.942,bicubic,-61.537,-31.743,-63 +resnetrs270.tf_in1k,34.960,65.040,65.453,34.547,129.86,352,1.000,bicubic,-61.730,-33.897,-69 +gcvit_tiny.in1k,34.947,65.053,66.893,33.107,28.22,224,0.875,bicubic,-61.233,-32.297,+15 +tf_efficientnet_b5.ap_in1k,34.813,65.187,67.480,32.520,30.39,456,0.934,bicubic,-61.867,-31.980,-69 +xcit_tiny_12_p8_384.fb_dist_in1k,34.653,65.347,66.293,33.707,6.71,384,1.000,bicubic,-61.427,-32.567,+39 +vit_base_patch16_224_miil.in21k_ft_in1k,34.533,65.467,64.973,35.027,86.54,224,0.875,bilinear,-61.917,-34.337,-31 +xcit_medium_24_p16_224.fb_dist_in1k,34.333,65.667,67.880,32.120,84.40,224,1.000,bicubic,-62.267,-31.390,-58 +resnet152d.ra2_in1k,34.280,65.720,65.947,34.053,60.21,320,1.000,bicubic,-62.110,-33.213,-25 +deit3_medium_patch16_224.fb_in1k,34.253,65.747,66.027,33.973,38.85,224,0.900,bicubic,-61.817,-33.163,+38 +coat_small.in1k,34.187,65.813,66.133,33.867,21.69,224,0.900,bicubic,-61.723,-33.017,+71 +tresnet_m.miil_in1k_448,34.093,65.907,64.507,35.493,31.39,448,0.875,bilinear,-60.897,-33.953,+233 +resmlp_big_24_224.fb_distilled_in1k,34.053,65.947,69.573,30.427,129.14,224,0.875,bicubic,-62.397,-29.547,-38 +regnetv_064.ra3_in1k,34.000,66.000,67.880,32.120,30.58,288,1.000,bicubic,-62.410,-31.480,-33 +xcit_tiny_24_p16_384.fb_dist_in1k,33.827,66.173,65.400,34.600,12.12,384,1.000,bicubic,-62.113,-33.810,+61 +caformer_s18.sail_in1k,33.707,66.293,65.400,34.600,26.34,224,1.000,bicubic,-62.433,-33.770,+15 +pvt_v2_b3.in1k,33.640,66.360,67.680,32.320,45.24,224,0.900,bicubic,-62.350,-31.510,+48 +focalnet_small_srf.ms_in1k,33.520,66.480,65.907,34.093,49.89,224,0.900,bicubic,-62.550,-33.383,+32 +coatnet_rmlp_1_rw_224.sw_in1k,33.507,66.493,65.573,34.427,41.69,224,0.950,bicubic,-62.453,-33.617,+54 +convformer_s18.sail_in22k_ft_in1k,33.453,66.547,68.280,31.720,26.77,224,1.000,bicubic,-63.177,-31.070,-76 +resnet152.a1h_in1k,33.427,66.573,63.453,36.547,60.19,288,1.000,bicubic,-62.773,-35.767,-5 +twins_pcpvt_large.in1k,33.373,66.627,67.933,32.067,60.99,224,0.900,bicubic,-62.767,-31.427,+8 +convformer_s36.sail_in1k,33.333,66.667,63.840,36.160,40.01,224,1.000,bicubic,-63.247,-35.400,-69 +focalnet_small_lrf.ms_in1k,33.227,66.773,67.067,32.933,50.34,224,0.900,bicubic,-62.953,-32.163,-4 +twins_svt_base.in1k,33.200,66.800,65.720,34.280,56.07,224,0.900,bicubic,-62.960,-33.330,+1 +pit_b_224.in1k,33.160,66.840,62.360,37.640,73.76,224,0.900,bicubic,-62.460,-36.310,+99 +resnext50_32x4d.fb_swsl_ig1b_ft_in1k,33.027,66.973,65.120,34.880,25.03,224,0.875,bilinear,-62.833,-33.950,+59 +resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k,33.027,66.973,64.240,35.760,236.34,224,0.875,bicubic,-63.093,-35.000,+7 +mobilevitv2_200.cvnets_in22k_ft_in1k_384,32.987,67.013,65.493,34.507,18.45,384,1.000,bicubic,-63.073,-33.587,+23 +convnextv2_nano.fcmae_ft_in22k_in1k_384,32.947,67.053,67.173,32.827,15.62,384,1.000,bicubic,-63.423,-32.227,-43 +regnety_320.seer_ft_in1k,32.947,67.053,66.347,33.653,145.05,384,1.000,bicubic,-63.383,-33.083,-35 +swinv2_cr_small_ns_224.sw_in1k,32.893,67.107,65.947,34.053,49.70,224,0.900,bicubic,-63.287,-33.173,-11 +xception65.ra3_in1k,32.733,67.267,62.987,37.013,39.92,299,0.940,bicubic,-63.627,-36.183,-44 +xcit_large_24_p16_224.fb_in1k,32.733,67.267,62.067,37.933,189.10,224,1.000,bicubic,-62.697,-36.563,+137 +ecaresnet101d.miil_in1k,32.707,67.293,65.973,34.027,44.57,288,0.950,bicubic,-63.513,-33.337,-25 +resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k,32.640,67.360,63.987,36.013,194.03,224,0.875,bilinear,-63.150,-35.173,+65 +swin_small_patch4_window7_224.ms_in1k,32.573,67.427,65.347,34.653,49.61,224,0.900,bicubic,-63.357,-33.803,+43 +mobilevitv2_175.cvnets_in22k_ft_in1k_384,32.480,67.520,64.747,35.253,14.25,384,1.000,bicubic,-63.700,-34.393,-16 +tf_efficientnetv2_b3.in21k_ft_in1k,32.333,67.667,66.133,33.867,14.36,300,0.900,bicubic,-63.887,-33.097,-27 +nest_small_jx.goog_in1k,32.280,67.720,63.747,36.253,38.35,224,0.875,bicubic,-63.690,-35.283,+30 +convnext_tiny_hnf.a2h_in1k,32.227,67.773,62.893,37.107,28.59,288,1.000,bicubic,-63.793,-36.247,+21 +resnext101_64x4d.tv_in1k,32.160,67.840,64.227,35.773,83.46,224,0.875,bilinear,-63.870,-34.833,+14 +vit_base_patch16_224.orig_in21k_ft_in1k,32.053,67.947,61.627,38.373,86.57,224,0.900,bicubic,-63.287,-37.373,+143 +convnextv2_tiny.fcmae_ft_in1k,32.027,67.973,67.067,32.933,28.64,288,1.000,bicubic,-64.163,-32.263,-26 +maxvit_nano_rw_256.sw_in1k,31.933,68.067,64.187,35.813,15.45,256,0.950,bicubic,-63.987,-34.823,+36 +tf_efficientnet_b5.ra_in1k,31.813,68.187,65.280,34.720,30.39,456,0.934,bicubic,-64.517,-34.030,-49 +swinv2_cr_small_224.sw_in1k,31.733,68.267,62.547,37.453,49.70,224,0.900,bicubic,-64.347,-36.593,-1 +rexnetr_200.sw_in12k_ft_in1k,31.720,68.280,67.640,32.360,16.52,288,1.000,bicubic,-64.500,-31.620,-37 +swinv2_tiny_window16_256.ms_in1k,31.707,68.293,65.667,34.333,28.35,256,0.900,bicubic,-64.223,-33.353,+30 +regnetz_c16_evos.ch_in1k,31.507,68.493,66.320,33.680,13.49,320,0.950,bicubic,-64.633,-32.680,-21 +resnest101e.in1k,31.427,68.573,64.333,35.667,48.28,256,0.875,bilinear,-64.433,-34.767,+37 +maxvit_rmlp_nano_rw_256.sw_in1k,31.400,68.600,63.413,36.587,15.50,256,0.950,bicubic,-64.570,-35.737,+19 +regnety_320.tv2_in1k,31.360,68.640,64.827,35.173,145.05,224,0.965,bicubic,-64.720,-34.413,-9 +maxxvit_rmlp_nano_rw_256.sw_in1k,31.333,68.667,64.360,35.640,16.78,256,0.950,bicubic,-64.707,-34.900,0 +regnetv_040.ra3_in1k,31.293,68.707,64.693,35.307,20.64,288,1.000,bicubic,-64.897,-34.557,-38 +crossvit_base_240.in1k,31.267,68.733,61.293,38.707,105.03,240,0.875,bicubic,-64.253,-37.577,+87 +cait_s24_224.fb_dist_in1k,31.187,68.813,64.573,35.427,46.92,224,1.000,bicubic,-65.233,-34.897,-77 +convnext_nano.in12k_ft_in1k,31.107,68.893,67.333,32.667,15.59,288,1.000,bicubic,-64.883,-31.987,+6 +efficientnet_b4.ra2_in1k,30.880,69.120,64.667,35.333,19.34,384,1.000,bicubic,-65.270,-34.523,-32 +regnety_040.ra3_in1k,30.627,69.373,63.827,36.173,20.65,288,1.000,bicubic,-65.393,-35.243,-1 +maxvit_tiny_tf_224.in1k,30.587,69.413,62.773,37.227,30.92,224,0.950,bicubic,-65.513,-36.507,-22 +crossvit_18_240.in1k,30.587,69.413,61.920,38.080,43.27,240,0.875,bicubic,-64.853,-37.200,+105 +sequencer2d_m.in1k,30.560,69.440,62.987,37.013,38.31,224,0.875,bicubic,-65.250,-36.223,+36 +vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,30.560,69.440,62.053,37.947,88.22,224,0.900,bicubic,-65.570,-37.167,-31 +xcit_small_24_p16_224.fb_dist_in1k,30.547,69.453,64.733,35.267,47.67,224,1.000,bicubic,-65.673,-34.477,-52 +crossvit_18_dagger_240.in1k,30.520,69.480,61.800,38.200,44.27,240,0.875,bicubic,-65.050,-37.260,+63 +maxxvitv2_nano_rw_256.sw_in1k,30.440,69.560,63.707,36.293,23.70,256,0.950,bicubic,-65.460,-35.463,+17 +mvitv2_tiny.fb_in1k,30.173,69.827,64.320,35.680,24.17,224,0.900,bicubic,-65.687,-34.800,+23 +xcit_medium_24_p16_224.fb_in1k,30.173,69.827,59.307,40.693,84.40,224,1.000,bicubic,-65.367,-39.473,+68 +rexnet_300.nav_in1k,30.013,69.987,63.920,36.080,34.71,224,0.875,bicubic,-65.827,-35.210,+22 +cait_xxs24_384.fb_dist_in1k,30.013,69.987,63.907,36.093,12.03,384,1.000,bicubic,-65.267,-35.103,+126 +tf_efficientnet_b5.aa_in1k,29.973,70.027,63.080,36.920,30.39,456,0.934,bicubic,-66.497,-36.070,-101 +convnext_tiny.fb_in1k,29.960,70.040,65.120,34.880,28.59,288,1.000,bicubic,-65.830,-34.060,+29 +twins_pcpvt_base.in1k,29.933,70.067,64.627,35.373,43.83,224,0.900,bicubic,-65.837,-34.353,+29 +cs3sedarknet_x.c2ns_in1k,29.933,70.067,62.000,38.000,35.40,288,1.000,bicubic,-66.087,-37.190,-13 +resnet50.fb_swsl_ig1b_ft_in1k,29.827,70.173,63.853,36.147,25.56,224,0.875,bilinear,-65.573,-35.247,+100 +mobilevitv2_150.cvnets_in22k_ft_in1k_384,29.800,70.200,62.147,37.853,10.59,384,1.000,bicubic,-65.890,-36.993,+38 +vit_relpos_base_patch16_clsgap_224.sw_in1k,29.733,70.267,62.880,37.120,86.43,224,0.900,bicubic,-66.037,-36.250,+28 +resnet152.a1_in1k,29.720,70.280,57.280,42.720,60.19,288,1.000,bicubic,-65.780,-41.800,+73 +convnextv2_nano.fcmae_ft_in22k_in1k,29.693,70.307,65.920,34.080,15.62,288,1.000,bicubic,-66.367,-33.300,-29 +deit_base_distilled_patch16_224.fb_in1k,29.587,70.413,64.387,35.613,87.34,224,0.900,bicubic,-66.503,-34.803,-40 +convit_base.fb_in1k,29.520,70.480,61.747,38.253,86.54,224,0.875,bicubic,-66.030,-37.373,+51 +vit_relpos_medium_patch16_cls_224.sw_in1k,29.307,70.693,60.587,39.413,38.76,224,0.900,bicubic,-66.163,-38.363,+75 +swin_tiny_patch4_window7_224.ms_in22k_ft_in1k,29.293,70.707,66.107,33.893,28.29,224,0.900,bicubic,-66.217,-32.883,+60 +resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k,29.120,70.880,61.000,39.000,88.79,224,0.875,bilinear,-66.390,-38.120,+60 +davit_tiny.msft_in1k,29.107,70.893,63.573,36.427,28.36,224,0.950,bicubic,-66.553,-35.477,+34 +tf_efficientnetv2_s.in1k,29.040,70.960,61.200,38.800,21.46,384,1.000,bicubic,-67.300,-38.000,-93 +edgenext_base.usi_in1k,29.027,70.973,64.907,35.093,18.51,320,1.000,bicubic,-67.673,-34.593,-162 +xception65p.ra3_in1k,28.987,71.013,59.907,40.093,39.82,299,0.940,bicubic,-67.223,-39.273,-76 +convnext_tiny.fb_in22k_ft_in1k,28.987,71.013,55.600,44.400,28.59,288,1.000,bicubic,-65.853,-43.110,+181 +resnet101d.ra2_in1k,28.973,71.027,62.080,37.920,44.57,320,1.000,bicubic,-67.317,-37.150,-90 +resnetv2_101.a1h_in1k,28.933,71.067,59.867,40.133,44.54,288,1.000,bicubic,-67.107,-39.303,-37 +resnetrs152.tf_in1k,28.893,71.107,60.507,39.493,86.62,320,1.000,bicubic,-67.687,-38.613,-140 +regnety_160.tv2_in1k,28.867,71.133,61.613,38.387,83.59,224,0.965,bicubic,-67.103,-37.357,-25 +vit_relpos_medium_patch16_224.sw_in1k,28.853,71.147,61.973,38.027,38.75,224,0.900,bicubic,-66.607,-36.937,+64 +xcit_tiny_24_p8_224.fb_dist_in1k,28.707,71.293,61.373,38.627,12.11,224,1.000,bicubic,-67.103,-37.737,+2 +xcit_tiny_24_p8_224.fb_in1k,28.653,71.347,60.440,39.560,12.11,224,1.000,bicubic,-67.007,-38.590,+22 +crossvit_15_dagger_240.in1k,28.547,71.453,60.293,39.707,28.21,240,0.875,bicubic,-67.133,-38.537,+19 +cs3edgenet_x.c2_in1k,28.520,71.480,61.147,38.853,47.82,288,1.000,bicubic,-67.530,-37.993,-46 +pvt_v2_b2_li.in1k,28.480,71.520,62.000,38.000,22.55,224,0.900,bicubic,-67.080,-37.030,+31 +xcit_small_24_p16_224.fb_in1k,28.333,71.667,58.707,41.293,47.67,224,1.000,bicubic,-67.207,-40.013,+35 +efficientformerv2_l.snap_dist_in1k,28.253,71.747,61.907,38.093,26.32,224,0.950,bicubic,-67.817,-37.213,-53 +resnet101.a1h_in1k,28.160,71.840,59.387,40.613,44.55,288,1.000,bicubic,-67.860,-39.723,-43 +efficientformer_l7.snap_dist_in1k,28.000,72.000,63.013,36.987,82.23,224,0.950,bicubic,-68.110,-36.257,-67 +flexivit_small.1200ep_in1k,27.813,72.187,58.627,41.373,22.06,240,0.950,bicubic,-67.737,-40.253,+27 +resnetaa50d.sw_in12k_ft_in1k,27.800,72.200,62.253,37.747,25.58,288,1.000,bicubic,-68.030,-36.837,-12 +pvt_v2_b2.in1k,27.613,72.387,60.733,39.267,25.36,224,0.900,bicubic,-67.867,-38.267,+49 +regnetz_c16.ra3_in1k,27.573,72.427,62.720,37.280,13.46,320,1.000,bicubic,-68.367,-36.500,-30 +resnext101_32x8d.tv2_in1k,27.573,72.427,59.827,40.173,88.79,224,0.965,bilinear,-68.377,-39.073,-35 +vit_base_patch16_384.augreg_in1k,27.560,72.440,57.253,42.747,86.86,384,1.000,bicubic,-67.380,-41.637,+141 +coat_lite_small.in1k,27.507,72.493,58.507,41.493,19.84,224,0.900,bicubic,-68.033,-40.573,+24 +deit_base_patch16_224.fb_in1k,27.400,72.600,58.880,41.120,86.57,224,0.900,bicubic,-68.050,-40.210,+50 +vit_relpos_base_patch16_224.sw_in1k,27.320,72.680,61.147,38.853,86.43,224,0.900,bicubic,-68.240,-37.843,+17 +resnetv2_50x1_bit.goog_in21k_ft_in1k,27.307,72.693,62.853,37.147,25.55,448,1.000,bilinear,-67.703,-36.127,+127 +regnety_080_tv.tv2_in1k,27.267,72.733,61.533,38.467,39.38,224,0.965,bicubic,-68.593,-37.717,-25 +coatnet_bn_0_rw_224.sw_in1k,27.213,72.787,61.280,38.720,27.44,224,0.950,bicubic,-68.487,-37.770,-2 +xcit_small_12_p16_224.fb_dist_in1k,27.147,72.853,59.800,40.200,26.25,224,1.000,bicubic,-68.883,-39.360,-60 +dm_nfnet_f0.dm_in1k,27.080,72.920,58.307,41.693,71.49,256,0.900,bicubic,-69.230,-41.013,-119 +vit_small_patch16_224.augreg_in21k_ft_in1k,27.040,72.960,59.240,40.760,22.05,224,0.900,bicubic,-68.330,-39.700,+62 +coatnet_0_rw_224.sw_in1k,27.027,72.973,59.387,40.613,27.44,224,0.950,bicubic,-68.413,-39.663,+47 +sequencer2d_s.in1k,26.867,73.133,60.640,39.360,27.65,224,0.875,bicubic,-69.113,-38.490,-53 +flexivit_small.600ep_in1k,26.853,73.147,57.267,42.733,22.06,240,0.950,bicubic,-68.817,-41.793,-4 +tresnet_v2_l.miil_in21k_ft_in1k,26.707,73.293,59.827,40.173,46.17,224,0.875,bilinear,-69.453,-39.443,-99 +gcvit_xtiny.in1k,26.693,73.307,60.907,39.093,19.98,224,0.875,bicubic,-68.897,-38.133,+4 +mobilevitv2_200.cvnets_in22k_ft_in1k,26.653,73.347,59.400,40.600,18.45,256,0.888,bicubic,-68.507,-39.550,+89 +swin_s3_tiny_224.ms_in1k,26.520,73.480,60.347,39.653,28.33,224,0.900,bicubic,-68.660,-38.603,+83 +coatnet_rmlp_nano_rw_224.sw_in1k,26.467,73.533,60.547,39.453,15.15,224,0.900,bicubic,-68.963,-38.493,+43 +swinv2_tiny_window8_256.ms_in1k,26.387,73.613,60.480,39.520,28.35,256,0.900,bicubic,-69.103,-38.310,+25 +tf_efficientnet_b4.aa_in1k,26.293,73.707,60.093,39.907,19.34,380,0.922,bicubic,-69.607,-38.957,-46 +regnetx_320.tv2_in1k,26.267,73.733,58.133,41.867,107.81,224,0.965,bicubic,-69.723,-40.967,-64 +deit3_small_patch16_224.fb_in1k,26.240,73.760,54.493,45.507,22.06,224,0.900,bicubic,-68.750,-44.487,+115 +nfnet_l0.ra2_in1k,26.227,73.773,61.760,38.240,35.07,288,1.000,bicubic,-69.893,-37.510,-98 +tf_efficientnet_b4.ap_in1k,26.227,73.773,60.240,39.760,19.34,380,0.922,bicubic,-69.933,-38.900,-111 +coatnext_nano_rw_224.sw_in1k,26.227,73.773,59.613,40.387,14.70,224,0.900,bicubic,-69.203,-39.397,+37 +regnety_032.ra_in1k,26.173,73.827,61.013,38.987,19.44,288,1.000,bicubic,-69.787,-38.147,-63 +ecaresnet50t.ra2_in1k,26.120,73.880,60.013,39.987,25.57,320,0.950,bicubic,-69.400,-38.797,+4 +fbnetv3_g.ra2_in1k,26.093,73.907,61.080,38.920,16.62,288,0.950,bilinear,-69.417,-38.120,+9 +mobilevitv2_175.cvnets_in22k_ft_in1k,26.013,73.987,58.520,41.480,14.25,256,0.888,bicubic,-69.207,-40.280,+66 +flexivit_small.300ep_in1k,25.893,74.107,57.067,42.933,22.06,240,0.950,bicubic,-69.607,-41.713,+11 +visformer_small.in1k,25.853,74.147,58.933,41.067,40.22,224,0.900,bicubic,-69.637,-40.167,+14 +vit_small_patch16_384.augreg_in1k,25.773,74.227,57.613,42.387,22.20,384,1.000,bicubic,-69.517,-41.387,+53 +convformer_s18.sail_in1k,25.680,74.320,57.960,42.040,26.77,224,1.000,bicubic,-70.270,-41.120,-67 +halo2botnet50ts_256.a1h_in1k,25.573,74.427,56.827,43.173,22.64,256,0.950,bicubic,-69.847,-42.193,+29 +vit_relpos_medium_patch16_rpn_224.sw_in1k,25.520,74.480,58.667,41.333,38.73,224,0.900,bicubic,-69.980,-40.463,+5 +coat_mini.in1k,25.507,74.493,57.707,42.293,10.34,224,0.900,bicubic,-69.463,-41.373,+104 +crossvit_15_240.in1k,25.453,74.547,57.600,42.400,27.53,240,0.875,bicubic,-69.697,-41.360,+71 +vit_srelpos_medium_patch16_224.sw_in1k,25.373,74.627,58.427,41.573,38.74,224,0.900,bicubic,-69.867,-40.443,+52 +resnet101.a1_in1k,25.253,74.747,55.120,44.880,44.55,288,1.000,bicubic,-70.267,-43.730,-6 +resnetv2_50x1_bit.goog_distilled_in1k,25.200,74.800,59.653,40.347,25.55,224,0.875,bicubic,-70.930,-39.627,-117 +convit_small.fb_in1k,25.147,74.853,57.293,42.707,27.78,224,0.875,bicubic,-70.063,-41.607,+55 +xcit_small_12_p16_224.fb_in1k,25.107,74.893,56.080,43.920,26.25,224,1.000,bicubic,-70.313,-42.760,+22 +vit_base_patch16_rpn_224.sw_in1k,25.080,74.920,58.693,41.307,86.54,224,0.900,bicubic,-70.310,-40.167,+27 +gc_efficientnetv2_rw_t.agc_in1k,25.067,74.933,57.720,42.280,13.68,288,1.000,bicubic,-70.673,-41.460,-43 +resnet152.a2_in1k,25.053,74.947,54.307,45.693,60.19,288,1.000,bicubic,-70.437,-44.593,+1 +eca_nfnet_l0.ra2_in1k,24.813,75.187,60.053,39.947,24.14,288,1.000,bicubic,-71.127,-39.057,-78 +xception41p.ra3_in1k,24.787,75.213,55.253,44.747,26.91,299,0.940,bicubic,-70.723,-43.657,-9 +tnt_s_patch16_224,24.707,75.293,58.173,41.827,23.76,224,0.900,bicubic,-70.333,-40.657,+78 +convnext_nano_ols.d1h_in1k,24.547,75.453,57.027,42.973,15.65,288,1.000,bicubic,-70.593,-41.823,+64 +xcit_tiny_12_p16_384.fb_dist_in1k,24.453,75.547,57.080,42.920,6.72,384,1.000,bicubic,-70.677,-41.940,+64 +cs3darknet_x.c2ns_in1k,24.387,75.613,57.760,42.240,35.05,288,1.000,bicubic,-71.463,-41.410,-68 +efficientnetv2_rw_t.ra2_in1k,24.293,75.707,57.387,42.613,13.65,288,1.000,bicubic,-71.307,-41.683,-35 +swinv2_cr_tiny_ns_224.sw_in1k,24.147,75.853,58.187,41.813,28.33,224,0.900,bicubic,-71.223,-40.953,+20 +eva02_tiny_patch14_336.mim_in22k_ft_in1k,24.133,75.867,55.427,44.573,5.76,336,1.000,bicubic,-70.777,-43.453,+93 +resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k,24.120,75.880,57.387,42.613,44.18,224,0.875,bilinear,-71.320,-41.333,0 +twins_svt_small.in1k,24.093,75.907,57.160,42.840,24.06,224,0.900,bicubic,-71.097,-41.720,+42 +coatnet_nano_rw_224.sw_in1k,24.093,75.907,57.147,42.853,15.14,224,0.900,bicubic,-71.147,-41.843,+37 +tf_efficientnet_b5.in1k,24.080,75.920,58.333,41.667,30.39,456,0.934,bicubic,-71.990,-40.867,-120 +vit_small_r26_s32_224.augreg_in21k_ft_in1k,24.067,75.933,56.213,43.787,36.43,224,0.900,bicubic,-71.573,-42.977,-47 +tf_efficientnet_b2.ns_jft_in1k,24.040,75.960,57.320,42.680,9.11,260,0.890,bicubic,-71.730,-41.800,-64 +mobilevitv2_150.cvnets_in22k_ft_in1k,24.013,75.987,55.920,44.080,10.59,256,0.888,bicubic,-71.127,-42.860,+49 +vit_relpos_small_patch16_224.sw_in1k,24.000,76.000,58.160,41.840,21.98,224,0.900,bicubic,-71.150,-40.770,+44 +convnext_nano.d1h_in1k,24.000,76.000,56.200,43.800,15.59,288,1.000,bicubic,-71.350,-42.720,+14 +cs3sedarknet_l.c2ns_in1k,23.960,76.040,58.760,41.240,21.91,288,0.950,bicubic,-71.350,-40.370,+16 +ecaresnet50d.miil_in1k,23.933,76.067,58.760,41.240,25.58,288,0.950,bicubic,-71.517,-40.080,-13 +poolformer_m48.sail_in1k,23.867,76.133,57.160,42.840,73.47,224,0.950,bicubic,-71.763,-42.080,-51 +vit_small_patch32_384.augreg_in21k_ft_in1k,23.773,76.227,57.267,42.733,22.92,384,1.000,bicubic,-71.257,-41.723,+60 +lamhalobotnet50ts_256.a1h_in1k,23.613,76.387,55.320,44.680,22.57,256,0.950,bicubic,-71.547,-43.780,+38 +nasnetalarge.tf_in1k,23.493,76.507,55.000,45.000,88.75,331,0.911,bicubic,-72.197,-43.930,-62 +crossvit_small_240.in1k,23.427,76.573,56.813,43.187,26.86,240,0.875,bicubic,-71.423,-42.197,+87 +levit_conv_384.fb_dist_in1k,23.387,76.613,56.413,43.587,39.13,224,0.900,bicubic,-72.143,-42.637,-42 +levit_384.fb_dist_in1k,23.387,76.613,56.387,43.613,39.13,224,0.900,bicubic,-72.143,-42.673,-42 +seresnext50_32x4d.racm_in1k,23.360,76.640,57.453,42.547,27.56,288,0.950,bicubic,-72.380,-41.567,-73 +pnasnet5large.tf_in1k,23.333,76.667,53.627,46.373,86.06,331,0.911,bicubic,-72.377,-45.403,-70 +focalnet_tiny_srf.ms_in1k,23.267,76.733,58.333,41.667,28.43,224,0.900,bicubic,-72.233,-40.627,-36 +efficientnet_b3.ra2_in1k,23.200,76.800,55.987,44.013,12.23,320,1.000,bicubic,-72.520,-43.053,-74 +wide_resnet50_2.racm_in1k,23.187,76.813,56.000,44.000,68.88,288,0.950,bicubic,-72.443,-42.940,-64 +pit_s_distilled_224.in1k,23.160,76.840,57.107,42.893,24.04,224,0.900,bicubic,-71.980,-41.623,+31 +hrnet_w18_ssld.paddle_in1k,23.147,76.853,55.160,44.840,21.30,288,1.000,bilinear,-72.843,-44.150,-125 +efficientformer_l3.snap_dist_in1k,23.133,76.867,57.147,42.853,31.41,224,0.950,bicubic,-72.457,-42.013,-62 +nest_tiny_jx.goog_in1k,23.107,76.893,56.200,43.800,17.06,224,0.875,bicubic,-72.133,-42.710,+10 +focalnet_tiny_lrf.ms_in1k,23.080,76.920,58.560,41.440,28.65,224,0.900,bicubic,-72.380,-40.400,-31 +resnet61q.ra2_in1k,23.013,76.987,55.760,44.240,36.85,288,1.000,bicubic,-72.767,-43.230,-89 +regnetx_160.tv2_in1k,22.987,77.013,56.333,43.667,54.28,224,0.965,bicubic,-72.893,-42.757,-108 +resmlp_big_24_224.fb_in1k,22.893,77.107,54.280,45.720,129.14,224,0.875,bicubic,-71.787,-44.220,+96 +vit_srelpos_small_patch16_224.sw_in1k,22.880,77.120,55.747,44.253,21.97,224,0.900,bicubic,-72.150,-43.203,+42 +halonet50ts.a1h_in1k,22.867,77.133,54.013,45.987,22.73,256,0.940,bicubic,-72.273,-44.877,+25 +resnetv2_50d_evos.ah_in1k,22.853,77.147,55.173,44.827,25.59,288,1.000,bicubic,-72.777,-43.937,-74 +vit_base_patch32_clip_224.laion2b_ft_in1k,22.853,77.147,55.013,44.987,88.22,224,0.900,bicubic,-72.667,-44.097,-57 +tf_efficientnet_b4.in1k,22.773,77.227,57.080,42.920,19.34,380,0.922,bicubic,-73.047,-41.970,-102 +poolformerv2_m48.sail_in1k,22.760,77.240,55.733,44.267,73.35,224,1.000,bicubic,-73.010,-43.307,-93 +twins_pcpvt_small.in1k,22.707,77.293,56.827,43.173,24.11,224,0.900,bicubic,-72.503,-42.053,+5 +convnextv2_nano.fcmae_ft_in1k,22.653,77.347,58.307,41.693,15.62,288,1.000,bicubic,-73.147,-40.783,-102 +poolformer_m36.sail_in1k,22.587,77.413,55.373,44.627,56.17,224,0.950,bicubic,-72.803,-43.567,-23 +vit_base_patch32_clip_224.openai_ft_in1k,22.560,77.440,55.333,44.667,88.22,224,0.900,bicubic,-72.550,-43.597,+22 +vit_base_patch32_224.augreg_in21k_ft_in1k,22.427,77.573,54.027,45.973,88.22,224,0.900,bicubic,-72.583,-45.033,+37 +resnetv2_50d_gn.ah_in1k,22.307,77.693,55.000,45.000,25.57,288,1.000,bicubic,-73.173,-43.950,-49 +ecaresnet101d_pruned.miil_in1k,22.267,77.733,56.213,43.787,24.88,288,0.950,bicubic,-73.493,-42.967,-99 +wide_resnet101_2.tv2_in1k,22.160,77.840,54.973,45.027,126.89,224,0.965,bilinear,-73.380,-43.887,-74 +ecaresnet50t.a1_in1k,22.093,77.907,53.680,46.320,25.57,288,1.000,bicubic,-73.317,-45.330,-35 +xcit_tiny_12_p8_224.fb_dist_in1k,22.067,77.933,54.267,45.733,6.71,224,1.000,bicubic,-73.023,-44.643,+20 +resnext50_32x4d.a1h_in1k,22.027,77.973,54.080,45.920,25.03,288,1.000,bicubic,-73.423,-44.760,-48 +res2net101d.in1k,21.853,78.147,51.680,48.320,45.23,224,0.875,bilinear,-72.967,-47.090,+60 +tresnet_m.miil_in21k_ft_in1k,21.667,78.333,53.853,46.147,31.39,224,0.875,bilinear,-74.043,-45.067,-101 +efficientformerv2_s2.snap_dist_in1k,21.533,78.467,54.240,45.760,12.71,224,0.950,bicubic,-73.827,-44.690,-31 +resnet50_gn.a1h_in1k,21.400,78.600,54.067,45.933,25.56,288,0.950,bicubic,-73.850,-44.933,-17 +maxvit_rmlp_pico_rw_256.sw_in1k,21.240,78.760,51.920,48.080,7.52,256,0.950,bicubic,-73.390,-46.840,+83 +convmixer_1536_20.in1k,21.213,78.787,55.507,44.493,51.63,224,0.960,bicubic,-73.867,-43.523,+14 +swin_tiny_patch4_window7_224.ms_in1k,21.173,78.827,55.933,44.067,28.29,224,0.900,bicubic,-73.967,-42.927,+1 +resnet101.a2_in1k,21.173,78.827,51.920,48.080,44.55,288,1.000,bicubic,-74.237,-47.020,-43 +pit_s_224.in1k,21.080,78.920,53.627,46.373,23.46,224,0.900,bicubic,-73.490,-45.073,+93 +xcit_tiny_12_p8_224.fb_in1k,20.960,79.040,52.467,47.533,6.71,224,1.000,bicubic,-73.730,-46.193,+67 +resnet51q.ra2_in1k,20.920,79.080,55.680,44.320,35.70,288,1.000,bilinear,-74.950,-43.440,-137 +poolformerv2_m36.sail_in1k,20.920,79.080,53.120,46.880,56.08,224,1.000,bicubic,-74.480,-46.180,-44 +resnetrs101.tf_in1k,20.867,79.133,52.827,47.173,63.62,288,0.940,bicubic,-74.563,-46.163,-56 +deit_small_distilled_patch16_224.fb_in1k,20.733,79.267,55.133,44.867,22.44,224,0.900,bicubic,-73.977,-43.897,+61 +sebotnet33ts_256.a1h_in1k,20.720,79.280,48.733,51.267,13.70,256,0.940,bicubic,-73.890,-49.777,+83 +regnety_032.tv2_in1k,20.560,79.440,54.360,45.640,19.44,224,0.965,bicubic,-74.750,-44.550,-36 +resnet152.tv2_in1k,20.493,79.507,52.333,47.667,60.19,224,0.965,bilinear,-75.007,-46.627,-77 +ecaresnetlight.miil_in1k,20.467,79.533,53.413,46.587,30.16,288,0.950,bicubic,-74.823,-45.617,-36 +resnest50d_4s2x40d.in1k,20.387,79.613,52.773,47.227,30.42,224,0.875,bicubic,-74.583,-46.007,+18 +resnetaa50.a1h_in1k,20.067,79.933,51.947,48.053,25.56,288,1.000,bicubic,-75.133,-46.973,-24 +resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k,20.040,79.960,53.560,46.440,25.03,224,0.875,bilinear,-74.820,-45.300,+31 +haloregnetz_b.ra3_in1k,20.013,79.987,49.987,50.013,11.68,224,0.940,bicubic,-74.677,-48.843,+56 +regnetz_b16.ra3_in1k,19.813,80.187,52.853,47.147,9.72,288,1.000,bicubic,-75.357,-46.227,-23 +xcit_nano_12_p8_384.fb_dist_in1k,19.787,80.213,50.587,49.413,3.05,384,1.000,bicubic,-73.733,-47.943,+205 +resnext50_32x4d.a1_in1k,19.733,80.267,50.173,49.827,25.03,288,1.000,bicubic,-75.087,-48.427,+37 +tresnet_xl.miil_in1k,19.653,80.347,53.160,46.840,78.44,224,0.875,bilinear,-75.787,-45.630,-72 +senet154.gluon_in1k,19.320,80.680,47.600,52.400,115.09,224,0.875,bicubic,-75.600,-51.160,+17 +rexnet_200.nav_in1k,19.227,80.773,52.627,47.373,16.37,224,0.875,bicubic,-75.713,-46.383,+11 +levit_conv_256.fb_dist_in1k,19.187,80.813,50.067,49.933,18.89,224,0.900,bicubic,-75.833,-48.863,0 +levit_256.fb_dist_in1k,19.173,80.827,50.107,49.893,18.89,224,0.900,bicubic,-75.847,-48.773,-2 +lambda_resnet50ts.a1h_in1k,19.147,80.853,49.240,50.760,21.54,256,0.950,bicubic,-75.623,-49.450,+33 +repvgg_b3.rvgg_in1k,19.080,80.920,50.307,49.693,123.09,224,0.875,bilinear,-75.470,-48.403,+72 +mixer_b16_224.miil_in21k_ft_in1k,19.040,80.960,51.213,48.787,59.88,224,0.875,bilinear,-76.260,-47.667,-53 +legacy_senet154.in1k,19.040,80.960,47.960,52.040,115.09,224,0.875,bilinear,-76.030,-50.870,-11 +resnet50d.a1_in1k,18.960,81.040,48.813,51.187,25.58,288,1.000,bicubic,-75.770,-49.937,+38 +seresnext101_64x4d.gluon_in1k,18.933,81.067,49.213,50.787,88.23,224,0.875,bicubic,-75.997,-49.617,+5 +deit_small_patch16_224.fb_in1k,18.893,81.107,51.387,48.613,22.05,224,0.900,bicubic,-75.477,-47.313,+93 +mobilevitv2_200.cvnets_in1k,18.893,81.107,50.520,49.480,18.45,256,0.888,bicubic,-75.947,-48.010,+20 +gcvit_xxtiny.in1k,18.787,81.213,53.307,46.693,12.00,224,0.875,bicubic,-75.633,-45.583,+86 +edgenext_small.usi_in1k,18.680,81.320,53.600,46.400,5.59,320,1.000,bicubic,-76.720,-45.270,-74 +tf_efficientnet_b1.ns_jft_in1k,18.640,81.360,51.760,48.240,7.79,240,0.882,bicubic,-76.520,-47.200,-40 +regnetx_080.tv2_in1k,18.573,81.427,50.333,49.667,39.57,224,0.965,bicubic,-76.527,-48.497,-24 +ecaresnet50t.a2_in1k,18.533,81.467,48.773,51.227,25.57,288,1.000,bicubic,-76.817,-50.087,-70 +poolformer_s36.sail_in1k,18.493,81.507,52.187,47.813,30.86,224,0.900,bicubic,-76.587,-46.723,-23 +wide_resnet50_2.tv2_in1k,18.467,81.533,52.453,47.547,68.88,224,0.965,bilinear,-76.403,-46.457,+5 +cait_xxs36_224.fb_dist_in1k,18.307,81.693,49.480,50.520,17.30,224,1.000,bicubic,-75.963,-49.230,+97 +cs3darknet_l.c2ns_in1k,18.293,81.707,51.840,48.160,21.16,288,0.950,bicubic,-76.827,-47.140,-34 +seresnet50.ra2_in1k,18.293,81.707,51.253,48.747,28.09,288,0.950,bicubic,-77.037,-47.757,-72 +sehalonet33ts.ra2_in1k,18.227,81.773,47.733,52.267,13.69,256,0.940,bicubic,-76.533,-50.837,+17 +ese_vovnet39b.ra_in1k,18.200,81.800,49.880,50.120,24.57,288,0.950,bicubic,-76.670,-49.060,+1 +tf_efficientnet_lite4.in1k,18.133,81.867,50.707,49.293,13.01,380,0.920,bilinear,-76.747,-48.313,-2 +vit_tiny_patch16_384.augreg_in21k_ft_in1k,18.013,81.987,50.320,49.680,5.79,384,1.000,bicubic,-75.637,-48.270,+163 +gcresnet50t.ra2_in1k,17.880,82.120,49.413,50.587,25.90,288,1.000,bicubic,-77.360,-49.567,-63 +resnet50d.ra2_in1k,17.853,82.147,50.240,49.760,25.58,288,0.950,bicubic,-77.157,-48.790,-22 +mobilevitv2_175.cvnets_in1k,17.787,82.213,49.747,50.253,14.25,256,0.888,bicubic,-77.103,-49.113,-9 +resnest50d_1s4x24d.in1k,17.640,82.360,49.760,50.240,25.68,224,0.875,bicubic,-77.090,-49.220,+12 +resnetv2_50.a1h_in1k,17.573,82.427,49.813,50.187,25.55,288,1.000,bicubic,-77.277,-49.057,0 +resnet50.c2_in1k,17.533,82.467,49.760,50.240,25.56,288,1.000,bicubic,-77.387,-49.050,-15 +resnest50d.in1k,17.360,82.640,50.720,49.280,27.48,224,0.875,bilinear,-77.490,-48.160,-3 +convnext_pico.d1_in1k,17.347,82.653,50.200,49.800,9.05,288,0.950,bicubic,-77.413,-48.510,+5 +seresnext101_32x4d.gluon_in1k,17.333,82.667,46.373,53.627,48.96,224,0.875,bicubic,-77.557,-52.447,-13 +efficientnet_el.ra_in1k,17.320,82.680,50.027,49.973,10.59,300,0.904,bicubic,-77.800,-48.943,-48 +inception_v4.tf_in1k,17.293,82.707,45.867,54.133,42.68,299,0.875,bicubic,-77.077,-52.713,+68 +tf_efficientnet_b3.ap_in1k,17.227,82.773,49.693,50.307,12.23,300,0.904,bicubic,-78.093,-49.207,-87 +gcresnext50ts.ch_in1k,17.173,82.827,48.107,51.893,15.67,288,1.000,bicubic,-77.687,-50.703,-12 +xcit_tiny_24_p16_224.fb_dist_in1k,17.160,82.840,47.507,52.493,12.12,224,1.000,bicubic,-77.380,-51.293,+44 +regnetx_032.tv2_in1k,17.067,82.933,48.107,51.893,15.30,224,0.965,bicubic,-77.593,-50.743,+15 +xception71.tf_in1k,17.027,82.973,45.560,54.440,42.34,299,0.903,bicubic,-77.273,-53.090,+73 +regnety_016.tv2_in1k,16.973,83.027,49.827,50.173,11.20,224,0.965,bicubic,-77.547,-48.993,+43 +tf_efficientnet_b3.aa_in1k,16.973,83.027,49.293,50.707,12.23,300,0.904,bicubic,-78.027,-49.617,-37 +cs3darknet_focus_l.c2ns_in1k,16.960,83.040,50.493,49.507,21.15,288,0.950,bicubic,-78.200,-48.387,-69 +convnextv2_pico.fcmae_ft_in1k,16.907,83.093,50.307,49.693,9.07,288,0.950,bicubic,-78.323,-48.613,-80 +resmlp_36_224.fb_distilled_in1k,16.880,83.120,51.493,48.507,44.69,224,0.875,bicubic,-78.010,-47.367,-26 +resnext101_64x4d.gluon_in1k,16.867,83.133,44.147,55.853,83.46,224,0.875,bicubic,-77.803,-54.513,+7 +poolformerv2_s36.sail_in1k,16.680,83.320,49.600,50.400,30.79,224,1.000,bicubic,-78.630,-49.320,-96 +resnet152d.gluon_in1k,16.627,83.373,44.213,55.787,60.21,224,0.875,bicubic,-78.103,-54.277,-5 +tf_efficientnetv2_b3.in1k,16.600,83.400,48.680,51.320,14.36,300,0.904,bicubic,-78.580,-50.140,-78 +gmlp_s16_224.ra3_in1k,16.547,83.453,45.080,54.920,19.42,224,0.875,bicubic,-77.603,-53.590,+82 +resnet152s.gluon_in1k,16.547,83.453,44.480,55.520,60.32,224,0.875,bicubic,-78.473,-54.400,-52 +tresnet_l.miil_in1k,16.520,83.480,49.893,50.107,55.99,224,0.875,bilinear,-78.760,-49.067,-97 +inception_resnet_v2.tf_in1k,16.520,83.480,44.960,55.040,55.84,299,0.897,bicubic,-78.060,-53.830,+19 +convnext_pico_ols.d1_in1k,16.493,83.507,49.707,50.293,9.06,288,1.000,bicubic,-78.127,-49.153,+14 +seresnet50.a1_in1k,16.493,83.507,46.760,53.240,28.09,288,1.000,bicubic,-78.167,-52.020,+2 +resmlp_24_224.fb_distilled_in1k,16.453,83.547,50.347,49.653,30.02,224,0.875,bicubic,-77.997,-48.423,+38 +mobilevitv2_150.cvnets_in1k,16.453,83.547,48.453,51.547,10.59,256,0.888,bicubic,-78.097,-50.327,+21 +resnet101.tv2_in1k,16.413,83.587,48.720,51.280,44.55,224,0.965,bilinear,-78.857,-50.190,-100 +gernet_l.idstcv_in1k,16.320,83.680,47.227,52.773,31.08,256,0.875,bilinear,-78.790,-51.753,-70 +inception_resnet_v2.tf_ens_adv_in1k,16.280,83.720,43.627,56.373,55.84,299,0.897,bicubic,-77.890,-54.913,+66 +repvgg_b3g4.rvgg_in1k,16.227,83.773,47.653,52.347,83.83,224,0.875,bilinear,-78.283,-51.317,+25 +xcit_tiny_24_p16_224.fb_in1k,16.227,83.773,46.000,54.000,12.12,224,1.000,bicubic,-77.853,-52.540,+78 +resnet50.a1_in1k,16.040,83.960,45.773,54.227,25.56,288,1.000,bicubic,-78.700,-52.937,-24 +xception65.tf_in1k,16.040,83.960,43.773,56.227,39.92,299,0.903,bicubic,-77.750,-54.597,+108 +resnet50.c1_in1k,16.000,84.000,47.387,52.613,25.56,288,1.000,bicubic,-78.730,-51.433,-24 +ecaresnet50d_pruned.miil_in1k,15.987,84.013,49.707,50.293,19.94,288,0.950,bicubic,-79.123,-49.193,-78 +edgenext_small_rw.sw_in1k,15.987,84.013,49.667,50.333,7.83,320,1.000,bicubic,-78.683,-49.113,-15 +resnet50.fb_ssl_yfcc100m_ft_in1k,15.933,84.067,49.413,50.587,25.56,224,0.875,bilinear,-78.517,-49.327,+26 +resnext50_32x4d.ra_in1k,15.880,84.120,47.227,52.773,25.03,288,0.950,bicubic,-78.820,-51.533,-21 +resnet50.d_in1k,15.640,84.360,45.160,54.840,25.56,288,1.000,bicubic,-79.340,-53.680,-62 +regnety_320.pycls_in1k,15.627,84.373,44.760,55.240,145.05,224,0.875,bicubic,-78.913,-54.030,+8 +vit_base_patch32_384.augreg_in1k,15.600,84.400,44.147,55.853,88.30,384,1.000,bicubic,-78.040,-54.253,+118 +convmixer_768_32.in1k,15.507,84.493,47.907,52.093,21.11,224,0.960,bicubic,-78.993,-50.953,+15 +ecaresnet26t.ra2_in1k,15.453,84.547,47.960,52.040,16.01,320,0.950,bicubic,-78.867,-50.760,+35 +resnext50d_32x4d.bt_in1k,15.413,84.587,46.200,53.800,25.05,288,0.950,bicubic,-79.137,-52.490,+3 +coat_tiny.in1k,15.400,84.600,45.587,54.413,5.50,224,0.900,bicubic,-78.180,-52.833,+118 +resnet50d.a2_in1k,15.387,84.613,44.813,55.187,25.58,288,1.000,bicubic,-79.193,-53.877,-5 +skresnext50_32x4d.ra_in1k,15.387,84.613,44.560,55.440,27.48,224,0.875,bicubic,-78.853,-53.900,+38 +resnext50_32x4d.a2_in1k,15.293,84.707,45.253,54.747,25.03,288,1.000,bicubic,-79.287,-53.397,-6 +seresnet33ts.ra2_in1k,15.267,84.733,47.360,52.640,19.78,288,1.000,bicubic,-79.773,-51.540,-85 +vit_relpos_base_patch32_plus_rpn_256.sw_in1k,15.240,84.760,42.640,57.360,119.42,256,0.900,bicubic,-78.500,-55.900,+99 +cait_xxs24_224.fb_dist_in1k,15.160,84.840,44.893,55.107,11.96,224,1.000,bicubic,-78.450,-53.567,+111 +eca_resnet33ts.ra2_in1k,15.053,84.947,49.000,51.000,19.68,288,1.000,bicubic,-79.567,-49.760,-19 +vit_base_patch16_224.augreg_in1k,15.000,85.000,42.013,57.987,86.57,224,0.900,bicubic,-78.630,-56.227,+107 +levit_conv_192.fb_dist_in1k,14.907,85.093,44.933,55.067,10.95,224,0.900,bicubic,-79.263,-53.747,+43 +levit_192.fb_dist_in1k,14.880,85.120,44.933,55.067,10.95,224,0.900,bicubic,-79.290,-53.607,+41 +seresnet50.a2_in1k,14.840,85.160,44.400,55.600,28.09,288,1.000,bicubic,-79.820,-54.320,-31 +poolformerv2_s24.sail_in1k,14.800,85.200,45.920,54.080,21.34,224,1.000,bicubic,-79.850,-52.880,-30 +rexnet_150.nav_in1k,14.720,85.280,46.880,53.120,9.73,224,0.875,bicubic,-79.760,-51.920,+1 +darknet53.c2ns_in1k,14.693,85.307,47.107,52.893,41.61,288,1.000,bicubic,-79.927,-51.793,-25 +gcresnet33ts.ra2_in1k,14.667,85.333,46.320,53.680,19.88,288,1.000,bicubic,-80.253,-52.490,-77 +resnet50.tv2_in1k,14.640,85.360,46.973,53.027,25.56,224,0.965,bilinear,-80.020,-51.817,-37 +res2net50d.in1k,14.627,85.373,44.480,55.520,25.72,224,0.875,bilinear,-79.693,-54.160,+18 +darknetaa53.c2ns_in1k,14.560,85.440,45.413,54.587,36.02,288,1.000,bilinear,-79.910,-53.407,-3 +coat_lite_mini.in1k,14.560,85.440,44.493,55.507,11.01,224,0.900,bicubic,-79.480,-53.997,+50 +efficientnet_el_pruned.in1k,14.493,85.507,46.120,53.880,10.59,300,0.904,bicubic,-79.907,-52.620,+3 +efficientnet_b2.ra_in1k,14.440,85.560,46.053,53.947,9.11,288,1.000,bicubic,-80.180,-52.727,-28 +poolformer_s24.sail_in1k,14.293,85.707,47.347,52.653,21.39,224,0.900,bicubic,-80.267,-51.553,-23 +legacy_seresnext101_32x4d.in1k,14.173,85.827,43.000,57.000,48.96,224,0.875,bilinear,-80.187,-55.860,+6 +fbnetv3_d.ra2_in1k,14.093,85.907,46.467,53.533,10.31,256,0.950,bilinear,-79.827,-52.153,+56 +gernet_m.idstcv_in1k,14.080,85.920,46.080,53.920,21.14,224,0.875,bilinear,-80.540,-52.830,-35 +pvt_v2_b1.in1k,14.027,85.973,47.747,52.253,14.01,224,0.900,bicubic,-79.773,-50.913,+69 +mobilevitv2_125.cvnets_in1k,14.013,85.987,45.027,54.973,7.48,256,0.888,bicubic,-79.947,-53.523,+50 +dpn68b.ra_in1k,13.893,86.107,40.280,59.720,12.61,288,1.000,bicubic,-80.107,-58.220,+45 +resnext101_32x4d.gluon_in1k,13.853,86.147,41.640,58.360,44.18,224,0.875,bicubic,-80.687,-57.140,-22 +seresnext50_32x4d.gluon_in1k,13.653,86.347,43.733,56.267,27.56,224,0.875,bicubic,-80.677,-54.877,+2 +pit_xs_distilled_224.in1k,13.573,86.427,45.160,54.840,11.00,224,0.900,bicubic,-80.197,-53.460,+67 +resnet152.a3_in1k,13.547,86.453,43.400,56.600,60.19,224,0.950,bicubic,-81.183,-55.280,-64 +resmlp_36_224.fb_in1k,13.467,86.533,46.667,53.333,44.69,224,0.875,bicubic,-80.723,-51.943,+12 +repvgg_b2g4.rvgg_in1k,13.467,86.533,43.853,56.147,61.76,224,0.875,bilinear,-80.413,-54.807,+55 +efficientformerv2_s1.snap_dist_in1k,13.440,86.560,42.947,57.053,6.19,224,0.950,bicubic,-80.760,-55.693,+10 +vit_small_patch16_224.augreg_in1k,13.387,86.613,41.440,58.560,22.05,224,0.900,bicubic,-80.503,-57.000,+50 +eca_botnext26ts_256.c1_in1k,13.320,86.680,42.133,57.867,10.59,256,0.950,bicubic,-80.460,-56.367,+60 +visformer_tiny.in1k,13.307,86.693,43.933,56.067,10.32,224,0.900,bicubic,-80.253,-54.457,+82 +regnetx_320.pycls_in1k,13.293,86.707,40.747,59.253,107.81,224,0.875,bicubic,-81.157,-58.173,-19 +resnet101d.gluon_in1k,13.187,86.813,41.560,58.440,44.57,224,0.875,bicubic,-81.043,-56.980,+2 +efficientnet_b3_pruned.in1k,13.160,86.840,45.200,54.800,9.86,300,0.904,bicubic,-81.470,-53.610,-56 +resnet50.b1k_in1k,13.093,86.907,43.947,56.053,25.56,288,1.000,bicubic,-81.767,-54.923,-92 +mixnet_xl.ra_in1k,13.080,86.920,43.213,56.787,11.90,224,0.875,bicubic,-81.100,-55.117,+5 +cspresnext50.ra_in1k,13.053,86.947,44.973,55.027,20.57,256,0.887,bilinear,-81.777,-53.797,-88 +efficientformer_l1.snap_dist_in1k,13.013,86.987,45.600,54.400,12.29,224,0.950,bicubic,-81.467,-53.230,-32 +regnetx_016.tv2_in1k,13.000,87.000,45.427,54.573,9.19,224,0.965,bicubic,-81.130,-53.323,+14 +nf_regnet_b1.ra2_in1k,12.947,87.053,44.400,55.600,10.22,288,0.900,bicubic,-81.163,-54.220,+13 +eca_halonext26ts.c1_in1k,12.947,87.053,42.827,57.173,10.76,256,0.940,bicubic,-81.093,-55.833,+22 +mobilevit_s.cvnets_in1k,12.907,87.093,40.747,59.253,5.58,256,0.900,bicubic,-80.273,-57.683,+111 +pit_xs_224.in1k,12.800,87.200,42.813,57.187,10.62,224,0.900,bicubic,-80.300,-55.517,+119 +tf_efficientnet_b3.in1k,12.787,87.213,43.640,56.360,12.23,300,0.904,bicubic,-81.753,-55.210,-47 +resnet50.b2k_in1k,12.760,87.240,44.133,55.867,25.56,288,1.000,bicubic,-81.970,-54.797,-86 +resnext50_32x4d.tv2_in1k,12.680,87.320,43.120,56.880,25.03,224,0.965,bilinear,-81.940,-55.590,-62 +inception_v3.gluon_in1k,12.627,87.373,40.427,59.573,23.83,299,0.875,bicubic,-80.843,-58.143,+77 +tresnet_m.miil_in1k,12.613,87.387,41.907,58.093,31.39,224,0.875,bilinear,-82.017,-56.643,-68 +resnet50.a1h_in1k,12.600,87.400,44.227,55.773,25.56,224,1.000,bicubic,-82.170,-54.243,-97 +crossvit_9_dagger_240.in1k,12.560,87.440,41.733,58.267,8.78,240,0.875,bicubic,-80.340,-56.507,+130 +resnetblur50.bt_in1k,12.493,87.507,44.147,55.853,25.56,288,0.950,bicubic,-81.967,-54.693,-42 +resmlp_24_224.fb_in1k,12.493,87.507,43.413,56.587,30.02,224,0.875,bicubic,-81.537,-54.917,+12 +convnext_femto_ols.d1_in1k,12.480,87.520,43.933,56.067,5.23,288,0.950,bicubic,-81.440,-54.807,+21 +coat_lite_tiny.in1k,12.467,87.533,41.053,58.947,5.72,224,0.900,bicubic,-80.773,-57.207,+95 +efficientnet_em.ra2_in1k,12.413,87.587,43.933,56.067,6.90,240,0.882,bicubic,-81.427,-54.887,+28 +regnety_120.pycls_in1k,12.400,87.600,42.173,57.827,51.82,224,0.875,bicubic,-82.070,-56.587,-48 +regnety_160.pycls_in1k,12.227,87.773,41.387,58.613,83.59,224,0.875,bicubic,-82.133,-57.243,-36 +resnet50.a2_in1k,12.173,87.827,40.453,59.547,25.56,288,1.000,bicubic,-82.457,-58.207,-79 +ecaresnet50t.a3_in1k,12.147,87.853,41.573,58.427,25.57,224,0.950,bicubic,-82.203,-57.097,-36 +hrnet_w64.ms_in1k,12.000,88.000,40.840,59.160,128.06,224,0.875,bilinear,-82.020,-57.750,+4 +cspdarknet53.ra_in1k,11.960,88.040,43.267,56.733,27.64,256,0.887,bilinear,-82.690,-55.573,-85 +xcit_tiny_12_p16_224.fb_dist_in1k,11.933,88.067,40.120,59.880,6.72,224,1.000,bicubic,-81.477,-58.390,+69 +resnet101s.gluon_in1k,11.893,88.107,40.960,59.040,44.67,224,0.875,bicubic,-82.827,-57.860,-100 +resnet101.a3_in1k,11.867,88.133,40.827,59.173,44.55,224,0.950,bicubic,-82.173,-57.723,-5 +gmixer_24_224.ra3_in1k,11.867,88.133,37.800,62.200,24.72,224,0.875,bicubic,-80.963,-60.080,+120 +nf_resnet50.ra2_in1k,11.773,88.227,45.907,54.093,25.56,288,0.940,bicubic,-82.767,-52.723,-68 +fbnetv3_b.ra2_in1k,11.733,88.267,44.400,55.600,8.60,256,0.950,bilinear,-82.237,-54.090,0 +dpn92.mx_in1k,11.640,88.360,40.160,59.840,37.67,224,0.875,bicubic,-82.650,-58.590,-37 +botnet26t_256.c1_in1k,11.613,88.387,40.107,59.893,12.49,256,0.950,bicubic,-81.897,-58.193,+50 +convnextv2_femto.fcmae_ft_in1k,11.600,88.400,40.800,59.200,5.23,288,0.950,bicubic,-82.590,-57.860,-30 +xception41.tf_in1k,11.573,88.427,39.107,60.893,26.97,299,0.903,bicubic,-81.847,-59.323,+58 +dla102x2.in1k,11.560,88.440,41.293,58.707,41.28,224,0.875,bilinear,-82.410,-57.227,-3 +vit_small_patch32_224.augreg_in21k_ft_in1k,11.507,88.493,39.547,60.453,22.88,224,0.900,bicubic,-80.533,-58.743,+161 +levit_128.fb_dist_in1k,11.440,88.560,40.187,59.813,9.21,224,0.900,bicubic,-81.900,-58.183,+64 +levit_conv_128.fb_dist_in1k,11.440,88.560,40.173,59.827,9.21,224,0.900,bicubic,-81.910,-58.197,+61 +lambda_resnet26t.c1_in1k,11.387,88.613,40.187,59.813,10.96,256,0.940,bicubic,-82.443,-58.463,+9 +seresnext26t_32x4d.bt_in1k,11.373,88.627,41.107,58.893,16.81,288,0.950,bicubic,-82.187,-57.383,+36 +regnety_080.pycls_in1k,11.373,88.627,40.613,59.387,39.18,224,0.875,bicubic,-82.797,-58.007,-35 +tf_efficientnet_el.in1k,11.347,88.653,42.040,57.960,10.59,300,0.904,bicubic,-83.053,-56.670,-62 +efficientnet_b2_pruned.in1k,11.333,88.667,42.040,57.960,8.31,260,0.890,bicubic,-82.807,-56.670,-28 +resnet50.ra_in1k,11.333,88.667,41.013,58.987,25.56,288,0.950,bicubic,-82.877,-57.607,-45 +convnext_femto.d1_in1k,11.213,88.787,42.773,57.227,5.22,288,0.950,bicubic,-82.717,-55.747,-10 +xcit_nano_12_p16_384.fb_dist_in1k,11.213,88.787,39.827,60.173,3.05,384,1.000,bicubic,-80.617,-57.863,+164 +resnet152c.gluon_in1k,11.120,88.880,37.133,62.867,60.21,224,0.875,bicubic,-83.040,-61.457,-38 +hrnet_w48.ms_in1k,11.093,88.907,40.280,59.720,77.47,224,0.875,bilinear,-82.827,-58.330,-11 +halonet26t.a1h_in1k,11.093,88.907,38.800,61.200,12.48,256,0.950,bicubic,-82.907,-59.540,-20 +vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k,11.080,88.920,39.933,60.067,6.36,384,1.000,bicubic,-80.960,-58.297,+146 +mobilevitv2_100.cvnets_in1k,11.067,88.933,40.613,59.387,4.90,256,0.888,bicubic,-82.223,-57.667,+59 +inception_v3.tf_adv_in1k,11.013,88.987,36.733,63.267,23.83,299,0.875,bicubic,-81.887,-61.407,+92 +tf_efficientnet_b0.ns_jft_in1k,11.000,89.000,40.093,59.907,5.29,224,0.875,bicubic,-82.620,-58.547,+19 +tf_efficientnetv2_b2.in1k,11.000,89.000,39.747,60.253,10.10,260,0.890,bicubic,-83.420,-58.833,-76 +seresnext26d_32x4d.bt_in1k,10.987,89.013,41.347,58.653,16.81,288,0.950,bicubic,-82.453,-56.983,+35 +xcit_tiny_12_p16_224.fb_in1k,10.987,89.013,37.067,62.933,6.72,224,1.000,bicubic,-81.523,-61.173,+116 +regnety_008_tv.tv2_in1k,10.840,89.160,40.547,59.453,6.43,224,0.965,bicubic,-82.850,-57.943,+6 +resnet34d.ra2_in1k,10.827,89.173,38.653,61.347,21.82,288,0.950,bicubic,-82.813,-59.887,+8 +dpn107.mx_in1k,10.827,89.173,38.307,61.693,86.92,224,0.875,bicubic,-83.513,-60.193,-71 +inception_v3.tf_in1k,10.827,89.173,36.853,63.147,23.83,299,0.875,bicubic,-82.493,-61.527,+47 +xcit_nano_12_p8_224.fb_dist_in1k,10.760,89.240,38.120,61.880,3.05,224,1.000,bicubic,-81.330,-60.040,+132 +tf_efficientnet_b2.ap_in1k,10.547,89.453,40.133,59.867,9.11,260,0.890,bicubic,-83.963,-58.487,-96 +densenetblur121d.ra_in1k,10.547,89.453,39.707,60.293,8.00,288,0.950,bicubic,-82.073,-58.553,+100 +dpn131.mx_in1k,10.533,89.467,36.787,63.213,79.25,224,0.875,bicubic,-83.517,-61.923,-42 +rexnet_130.nav_in1k,10.413,89.587,41.547,58.453,7.56,224,0.875,bicubic,-83.487,-56.853,-24 +hrnet_w44.ms_in1k,10.307,89.693,39.480,60.520,67.06,224,0.875,bilinear,-83.243,-59.120,+12 +xcit_nano_12_p8_224.fb_in1k,10.293,89.707,36.960,63.040,3.05,224,1.000,bicubic,-80.717,-60.820,+166 +resnext50_32x4d.a3_in1k,10.253,89.747,38.200,61.800,25.03,224,0.950,bicubic,-83.407,-60.320,-2 +lambda_resnet26rpt_256.c1_in1k,10.227,89.773,38.120,61.880,10.99,256,0.940,bicubic,-83.483,-60.400,-7 +resnext101_32x8d.tv_in1k,10.173,89.827,37.747,62.253,88.79,224,0.875,bilinear,-83.647,-60.833,-21 +regnetx_160.pycls_in1k,10.133,89.867,38.053,61.947,54.28,224,0.875,bicubic,-84.007,-60.467,-58 +legacy_seresnext50_32x4d.in1k,10.093,89.907,39.213,60.787,27.56,224,0.875,bilinear,-83.657,-59.367,-16 +resnetrs50.tf_in1k,10.053,89.947,37.560,62.440,35.69,224,0.910,bicubic,-84.267,-60.970,-83 +dpn98.mx_in1k,10.013,89.987,36.187,63.813,61.57,224,0.875,bicubic,-84.147,-62.453,-64 +inception_v3.tv_in1k,10.013,89.987,35.213,64.787,23.83,299,0.875,bicubic,-82.737,-63.057,+80 +efficientnet_b1.ft_in1k,10.000,90.000,37.600,62.400,7.79,256,1.000,bicubic,-83.250,-60.690,+35 +legacy_xception.tf_in1k,9.987,90.013,37.987,62.013,22.86,299,0.897,bicubic,-83.473,-60.543,+12 +resnet33ts.ra2_in1k,9.973,90.027,39.813,60.187,19.68,288,1.000,bicubic,-84.127,-58.837,-59 +regnety_064.pycls_in1k,9.933,90.067,39.093,60.907,30.58,224,0.875,bicubic,-84.207,-59.657,-65 +resnet152.gluon_in1k,9.747,90.253,36.067,63.933,60.19,224,0.875,bicubic,-84.323,-62.393,-59 +tf_efficientnet_lite3.in1k,9.680,90.320,39.013,60.987,8.20,300,0.904,bilinear,-84.520,-59.617,-81 +tf_efficientnet_b2.aa_in1k,9.667,90.333,38.893,61.107,9.11,260,0.890,bicubic,-84.713,-59.717,-101 +tf_efficientnet_cc_b1_8e.in1k,9.573,90.427,36.827,63.173,39.72,240,0.882,bicubic,-84.347,-61.433,-44 +res2net101_26w_4s.in1k,9.507,90.493,35.093,64.907,45.21,224,0.875,bilinear,-84.213,-63.227,-23 +resnet50.ram_in1k,9.480,90.520,35.507,64.493,25.56,288,0.950,bicubic,-85.040,-63.143,-120 +legacy_seresnet152.in1k,9.333,90.667,37.373,62.627,66.82,224,0.875,bilinear,-84.037,-60.967,+11 +cspresnet50.ra_in1k,9.280,90.720,39.613,60.387,21.62,256,0.887,bilinear,-84.470,-59.027,-32 +resnet34.a1_in1k,9.267,90.733,34.947,65.053,21.80,288,1.000,bicubic,-83.833,-63.373,+36 +hrnet_w40.ms_in1k,9.253,90.747,36.947,63.053,57.56,224,0.875,bilinear,-84.247,-61.623,-5 +resnet32ts.ra2_in1k,9.213,90.787,38.613,61.387,17.96,288,1.000,bicubic,-84.617,-60.027,-44 +regnetx_120.pycls_in1k,9.213,90.787,37.200,62.800,46.11,224,0.875,bicubic,-85.017,-61.470,-93 +crossvit_tiny_240.in1k,9.107,90.893,34.600,65.400,7.01,240,0.875,bicubic,-81.123,-62.990,+161 +resnest26d.gluon_in1k,9.053,90.947,37.827,62.173,17.07,224,0.875,bilinear,-84.267,-60.533,+10 +resnet50d.a3_in1k,9.040,90.960,37.320,62.680,25.58,224,0.950,bicubic,-84.430,-61.130,-6 +vit_tiny_patch16_224.augreg_in21k_ft_in1k,9.040,90.960,34.627,65.373,5.72,224,0.900,bicubic,-82.720,-63.143,+117 +gcresnext26ts.ch_in1k,8.987,91.013,36.920,63.080,10.48,288,1.000,bicubic,-84.173,-61.450,+24 +vit_base_patch16_224.sam_in1k,8.987,91.013,36.120,63.880,86.57,224,0.900,bicubic,-85.163,-62.380,-86 +regnety_040.pycls_in1k,8.933,91.067,37.053,62.947,20.65,224,0.875,bicubic,-84.947,-61.467,-55 +resnext50_32x4d.gluon_in1k,8.933,91.067,36.307,63.693,25.03,224,0.875,bicubic,-84.877,-62.113,-49 +bat_resnext26ts.ch_in1k,8.893,91.107,36.440,63.560,10.73,256,0.900,bicubic,-84.427,-62.180,+5 +rexnet_100.nav_in1k,8.893,91.107,36.400,63.600,4.80,224,0.875,bicubic,-84.127,-61.900,+33 +mixnet_l.ft_in1k,8.880,91.120,36.227,63.773,7.33,224,0.875,bicubic,-84.550,-61.993,-11 +convit_tiny.fb_in1k,8.867,91.133,34.307,65.693,5.71,224,0.875,bicubic,-81.793,-63.423,+142 +mobilenetv3_large_100.miil_in21k_ft_in1k,8.853,91.147,33.067,66.933,5.48,224,0.875,bilinear,-83.407,-64.563,+81 +hrnet_w18.ms_aug_in1k,8.747,91.253,38.787,61.213,21.30,224,0.950,bilinear,-84.803,-59.913,-26 +levit_conv_128s.fb_dist_in1k,8.653,91.347,33.093,66.907,7.78,224,0.900,bicubic,-83.307,-64.967,+98 +resnet50.bt_in1k,8.640,91.360,38.720,61.280,25.56,288,0.950,bicubic,-85.670,-59.920,-117 +dla169.in1k,8.640,91.360,35.973,64.027,53.39,224,0.875,bilinear,-84.720,-62.637,-9 +levit_128s.fb_dist_in1k,8.640,91.360,33.067,66.933,7.78,224,0.900,bicubic,-83.320,-64.993,+95 +mixer_b16_224.goog_in21k_ft_in1k,8.627,91.373,29.413,70.587,59.88,224,0.875,bicubic,-83.253,-67.847,+97 +hrnet_w30.ms_in1k,8.587,91.413,37.040,62.960,37.71,224,0.875,bilinear,-84.613,-61.450,+3 +eca_resnext26ts.ch_in1k,8.560,91.440,36.827,63.173,10.30,288,1.000,bicubic,-84.500,-61.573,+18 +legacy_seresnet101.in1k,8.560,91.440,35.960,64.040,49.33,224,0.875,bilinear,-84.750,-62.560,-5 +convnext_atto_ols.a2_in1k,8.533,91.467,35.000,65.000,3.70,288,0.950,bicubic,-84.557,-63.470,+12 +tf_efficientnet_b2.in1k,8.520,91.480,36.507,63.493,9.11,260,0.890,bicubic,-85.590,-61.943,-97 +tf_efficientnet_b1.ap_in1k,8.453,91.547,35.213,64.787,7.79,240,0.882,bicubic,-85.227,-63.147,-52 +repvgg_b2.rvgg_in1k,8.440,91.560,36.480,63.520,89.02,224,0.875,bilinear,-85.060,-62.020,-34 +resmlp_12_224.fb_distilled_in1k,8.307,91.693,36.853,63.147,15.35,224,0.875,bicubic,-84.513,-61.287,+30 +ese_vovnet19b_dw.ra_in1k,8.280,91.720,37.000,63.000,6.54,288,0.950,bicubic,-84.870,-61.250,+2 +crossvit_9_240.in1k,8.267,91.733,34.107,65.893,8.55,240,0.875,bicubic,-82.373,-63.623,+126 +dla102x.in1k,8.200,91.800,37.027,62.973,26.31,224,0.875,bilinear,-85.300,-61.703,-36 +seresnext26ts.ch_in1k,8.147,91.853,36.093,63.907,10.39,288,1.000,bicubic,-84.813,-62.087,+17 +hrnet_w32.ms_in1k,8.067,91.933,37.547,62.453,41.23,224,0.875,bilinear,-85.463,-60.913,-43 +resnet101c.gluon_in1k,8.027,91.973,33.320,66.680,44.57,224,0.875,bicubic,-85.643,-65.100,-59 +vit_base_patch32_224.augreg_in1k,7.987,92.013,30.453,69.547,88.22,224,0.900,bicubic,-83.203,-66.937,+103 +cs3darknet_m.c2ns_in1k,7.960,92.040,36.507,63.493,9.31,288,0.950,bicubic,-85.380,-62.093,-26 +poolformerv2_s12.sail_in1k,7.960,92.040,34.560,65.440,11.89,224,1.000,bicubic,-85.000,-63.800,+13 +resnet50d.gluon_in1k,7.947,92.053,35.000,65.000,25.58,224,0.875,bicubic,-85.803,-63.390,-71 +resnet26t.ra2_in1k,7.893,92.107,36.720,63.280,16.01,320,1.000,bicubic,-85.307,-61.690,-16 +res2net50_26w_8s.in1k,7.853,92.147,33.707,66.293,48.40,224,0.875,bilinear,-85.537,-64.463,-34 +dla60_res2next.in1k,7.800,92.200,34.973,65.027,17.03,224,0.875,bilinear,-85.390,-63.427,-16 +mobilevitv2_075.cvnets_in1k,7.773,92.227,33.720,66.280,2.87,256,0.888,bicubic,-83.987,-64.140,+80 +convnextv2_atto.fcmae_ft_in1k,7.773,92.227,32.907,67.093,3.71,288,0.950,bicubic,-85.197,-65.253,+6 +mobilevit_xs.cvnets_in1k,7.747,92.253,32.520,67.480,2.32,256,0.900,bicubic,-83.053,-65.410,+105 +tf_efficientnetv2_b1.in1k,7.707,92.293,34.653,65.347,8.14,240,0.882,bicubic,-86.243,-63.967,-102 +deit_tiny_distilled_patch16_224.fb_in1k,7.707,92.293,33.507,66.493,5.91,224,0.900,bicubic,-83.003,-64.053,+108 +regnety_032.pycls_in1k,7.693,92.307,34.293,65.707,19.44,224,0.875,bicubic,-85.717,-64.347,-44 +efficientformerv2_s0.snap_dist_in1k,7.680,92.320,32.680,67.320,3.60,224,0.950,bicubic,-84.290,-65.210,+63 +convnext_atto.d2_in1k,7.613,92.387,35.053,64.947,3.70,288,0.950,bicubic,-85.177,-63.097,+12 +dla60_res2net.in1k,7.600,92.400,34.600,65.400,20.85,224,0.875,bilinear,-85.580,-63.840,-23 +efficientnet_b1_pruned.in1k,7.480,92.520,34.480,65.520,6.33,240,0.882,bicubic,-85.300,-63.560,+11 +regnetx_064.pycls_in1k,7.373,92.627,34.360,65.640,26.21,224,0.875,bicubic,-86.527,-64.280,-102 +wide_resnet101_2.tv_in1k,7.360,92.640,34.147,65.853,126.89,224,0.875,bilinear,-86.380,-63.923,-84 +densenet121.ra_in1k,7.320,92.680,35.453,64.547,7.98,288,0.950,bicubic,-85.200,-62.767,+26 +deit_tiny_patch16_224.fb_in1k,7.307,92.693,30.680,69.320,5.72,224,0.900,bicubic,-82.343,-66.780,+122 +regnetx_008.tv2_in1k,7.280,92.720,34.133,65.867,7.26,224,0.965,bicubic,-85.270,-64.047,+21 +resnet50s.gluon_in1k,7.280,92.720,33.453,66.547,25.68,224,0.875,bicubic,-86.360,-65.007,-78 +resnet34.a2_in1k,7.267,92.733,31.813,68.187,21.80,288,1.000,bicubic,-85.453,-66.357,+9 +edgenext_x_small.in1k,7.267,92.733,30.920,69.080,2.34,288,1.000,bicubic,-84.443,-66.680,+69 +resnet101.gluon_in1k,7.253,92.747,32.760,67.240,44.55,224,0.875,bicubic,-86.497,-65.620,-92 +hardcorenas_e.miil_green_in1k,7.240,92.760,33.280,66.720,8.07,224,0.875,bilinear,-85.340,-64.820,+15 +efficientnet_b0.ra_in1k,7.213,92.787,33.987,66.013,5.29,224,0.875,bicubic,-85.477,-64.083,+7 +tf_mixnet_l.in1k,7.173,92.827,31.680,68.320,7.33,224,0.875,bicubic,-86.147,-66.350,-46 +tf_efficientnet_b1.aa_in1k,7.147,92.853,33.027,66.973,7.79,240,0.882,bicubic,-86.343,-65.333,-68 +tf_efficientnet_cc_b0_8e.in1k,7.133,92.867,31.773,68.227,24.01,224,0.875,bicubic,-85.707,-66.407,-9 +convmixer_1024_20_ks9_p14.in1k,7.093,92.907,33.053,66.947,24.38,224,0.960,bicubic,-85.307,-65.217,+22 +resmlp_12_224.fb_in1k,7.013,92.987,33.933,66.067,15.35,224,0.875,bicubic,-85.207,-64.217,+30 +cs3darknet_focus_m.c2ns_in1k,6.933,93.067,34.587,65.413,9.30,288,0.950,bicubic,-86.037,-63.473,-22 +hardcorenas_f.miil_green_in1k,6.853,93.147,34.053,65.947,8.20,224,0.875,bilinear,-86.117,-64.337,-22 +pit_ti_distilled_224.in1k,6.840,93.160,30.947,69.053,5.10,224,0.900,bicubic,-83.930,-66.663,+80 +efficientnet_es.ra_in1k,6.693,93.307,33.987,66.013,5.44,224,0.875,bicubic,-86.467,-64.423,-43 +SelecSls60b.in1k,6.693,93.307,33.293,66.707,32.77,224,0.875,bicubic,-86.617,-64.997,-54 +res2net50_26w_6s.in1k,6.693,93.307,31.653,68.347,37.05,224,0.875,bilinear,-86.707,-66.627,-67 +poolformer_s12.sail_in1k,6.667,93.333,34.520,65.480,11.92,224,0.900,bicubic,-85.943,-63.660,0 +tinynet_a.in1k,6.653,93.347,32.227,67.773,6.19,192,0.875,bicubic,-85.787,-65.853,+9 +mixnet_m.ft_in1k,6.653,93.347,32.053,67.947,5.01,224,0.875,bicubic,-85.757,-65.817,+12 +dpn68b.mx_in1k,6.640,93.360,32.907,67.093,12.61,224,0.875,bicubic,-86.150,-65.173,-17 +legacy_seresnext26_32x4d.in1k,6.627,93.373,33.227,66.773,16.79,224,0.875,bicubic,-86.013,-64.893,-7 +tf_efficientnet_b1.in1k,6.627,93.373,32.640,67.360,7.79,240,0.882,bicubic,-86.463,-65.660,-42 +resnet50.a3_in1k,6.600,93.400,32.053,67.947,25.56,224,0.950,bicubic,-86.120,-65.957,-13 +regnety_004.tv2_in1k,6.533,93.467,30.467,69.533,4.34,224,0.965,bicubic,-85.047,-67.423,+47 +dla60x.in1k,6.493,93.507,34.080,65.920,17.35,224,0.875,bilinear,-86.587,-64.420,-44 +repvgg_b1.rvgg_in1k,6.467,93.533,33.800,66.200,57.42,224,0.875,bilinear,-86.863,-64.720,-71 +skresnet34.ra_in1k,6.467,93.533,31.587,68.413,22.28,224,0.875,bicubic,-85.913,-66.563,+7 +hardcorenas_d.miil_green_in1k,6.427,93.573,32.240,67.760,7.50,224,0.875,bilinear,-85.983,-65.830,+1 +resnet26d.bt_in1k,6.307,93.693,32.733,67.267,16.01,288,0.950,bicubic,-86.213,-65.477,-5 +regnetx_080.pycls_in1k,6.293,93.707,32.373,67.627,39.57,224,0.875,bicubic,-87.587,-66.217,-132 +resnet18.fb_swsl_ig1b_ft_in1k,6.253,93.747,31.600,68.400,11.69,224,0.875,bilinear,-84.447,-66.100,+66 +legacy_seresnet50.in1k,6.200,93.800,32.680,67.320,28.09,224,0.875,bilinear,-86.760,-65.730,-38 +pit_ti_224.in1k,6.133,93.867,30.200,69.800,4.85,224,0.900,bicubic,-83.807,-67.250,+80 +resnet152.tv_in1k,6.067,93.933,32.080,67.920,60.19,224,0.875,bilinear,-87.253,-65.960,-77 +wide_resnet50_2.tv_in1k,6.013,93.987,32.160,67.840,68.88,224,0.875,bilinear,-87.147,-66.160,-63 +tf_efficientnet_cc_b0_4e.in1k,5.987,94.013,29.573,70.427,13.31,224,0.875,bicubic,-86.603,-68.507,-18 +regnetx_040.pycls_in1k,5.947,94.053,31.493,68.507,22.12,224,0.875,bicubic,-87.613,-67.037,-109 +seresnet50.a3_in1k,5.947,94.053,30.813,69.187,28.09,224,0.950,bicubic,-86.123,-67.227,+9 +tf_efficientnetv2_b0.in1k,5.880,94.120,30.787,69.213,7.14,224,0.875,bicubic,-87.230,-67.603,-64 +mixer_l16_224.goog_in21k_ft_in1k,5.880,94.120,18.547,81.453,208.20,224,0.875,bicubic,-81.270,-77.553,+104 +dla102.in1k,5.867,94.133,32.760,67.240,33.27,224,0.875,bilinear,-87.193,-65.790,-59 +regnety_016.pycls_in1k,5.680,94.320,30.480,69.520,11.20,224,0.875,bicubic,-87.360,-67.890,-58 +SelecSls60.in1k,5.653,94.347,32.533,67.467,30.67,224,0.875,bicubic,-87.367,-65.657,-59 +res2next50.in1k,5.653,94.347,30.893,69.107,24.67,224,0.875,bilinear,-87.187,-67.287,-46 +hardcorenas_c.miil_green_in1k,5.653,94.347,30.453,69.547,5.52,224,0.875,bilinear,-86.367,-67.387,+8 +hrnet_w18.ms_in1k,5.493,94.507,30.920,69.080,21.30,224,0.875,bilinear,-86.827,-67.350,-11 +resnest14d.gluon_in1k,5.453,94.547,28.533,71.467,10.61,224,0.875,bilinear,-86.267,-69.337,+22 +tf_efficientnet_em.in1k,5.360,94.640,31.093,68.907,6.90,240,0.882,bicubic,-87.560,-67.117,-53 +tf_efficientnet_lite2.in1k,5.320,94.680,30.880,69.120,6.09,260,0.890,bicubic,-87.340,-67.350,-37 +gernet_s.idstcv_in1k,5.320,94.680,30.147,69.853,8.17,224,0.875,bilinear,-86.810,-68.043,-5 +resnext26ts.ra2_in1k,5.307,94.693,29.680,70.320,10.30,288,1.000,bicubic,-86.823,-68.350,-6 +tf_efficientnet_b0.ap_in1k,5.307,94.693,28.840,71.160,5.29,224,0.875,bicubic,-86.893,-69.180,-10 +repvgg_b1g4.rvgg_in1k,5.240,94.760,30.760,69.240,39.97,224,0.875,bilinear,-87.760,-67.670,-65 +resnet34.bt_in1k,5.213,94.787,29.413,70.587,21.80,288,0.950,bicubic,-87.187,-68.647,-22 +xcit_nano_12_p16_224.fb_dist_in1k,5.200,94.800,26.493,73.507,3.05,224,1.000,bicubic,-84.510,-70.607,+61 +res2net50_26w_4s.in1k,5.173,94.827,29.360,70.640,25.70,224,0.875,bilinear,-87.317,-68.670,-30 +vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k,5.080,94.920,27.027,72.973,6.34,224,0.900,bicubic,-84.100,-70.193,+66 +mobilenetv3_large_100.ra_in1k,5.067,94.933,28.187,71.813,5.48,224,0.875,bicubic,-86.283,-69.523,+18 +tf_efficientnet_b0.aa_in1k,5.053,94.947,28.773,71.227,5.29,224,0.875,bicubic,-87.197,-69.227,-20 +tf_mixnet_m.in1k,5.053,94.947,28.187,71.813,5.01,224,0.875,bicubic,-87.247,-69.703,-24 +res2net50_14w_8s.in1k,5.040,94.960,28.720,71.280,25.06,224,0.875,bilinear,-87.730,-69.450,-55 +regnetx_004_tv.tv2_in1k,5.000,95.000,27.560,72.440,5.50,224,0.965,bicubic,-85.640,-70.030,+38 +hardcorenas_b.miil_green_in1k,4.947,95.053,28.053,71.947,5.18,224,0.875,bilinear,-86.813,-69.987,+4 +mobilenetv3_rw.rmsp_in1k,4.933,95.067,29.853,70.147,5.48,224,0.875,bicubic,-86.277,-67.807,+14 +mixnet_s.ft_in1k,4.933,95.067,28.560,71.440,4.13,224,0.875,bicubic,-86.897,-69.460,0 +hardcorenas_a.miil_green_in1k,4.893,95.107,28.107,71.893,5.26,224,0.875,bilinear,-86.457,-69.743,+9 +resnet50c.gluon_in1k,4.893,95.107,28.080,71.920,25.58,224,0.875,bicubic,-88.137,-70.320,-82 +regnetx_032.pycls_in1k,4.880,95.120,30.227,69.773,15.30,224,0.875,bicubic,-88.230,-68.163,-93 +xcit_nano_12_p16_224.fb_in1k,4.853,95.147,25.467,74.533,3.05,224,1.000,bicubic,-83.767,-71.323,+65 +resnext50_32x4d.tv_in1k,4.827,95.173,30.267,69.733,25.03,224,0.875,bilinear,-87.923,-67.703,-63 +densenet161.tv_in1k,4.733,95.267,29.547,70.453,28.68,224,0.875,bicubic,-87.747,-68.753,-44 +resnet101.tv_in1k,4.707,95.293,29.333,70.667,44.55,224,0.875,bilinear,-88.103,-68.917,-70 +SelecSls42b.in1k,4.693,95.307,28.560,71.440,32.46,224,0.875,bicubic,-87.597,-69.550,-36 +tf_efficientnet_lite1.in1k,4.600,95.400,28.333,71.667,5.42,240,0.882,bicubic,-88.020,-69.727,-58 +mobilenetv2_120d.ra_in1k,4.547,95.453,29.320,70.680,5.83,224,0.875,bicubic,-87.853,-68.830,-42 +tf_efficientnet_b0.in1k,4.427,95.573,26.680,73.320,5.29,224,0.875,bicubic,-87.643,-71.240,-28 +pvt_v2_b0.in1k,4.347,95.653,25.960,74.040,3.67,224,0.900,bicubic,-84.433,-70.900,+54 +vit_base_patch32_224.sam_in1k,4.333,95.667,24.387,75.613,88.22,224,0.900,bicubic,-85.407,-72.613,+37 +resnet50.am_in1k,4.267,95.733,28.613,71.387,25.56,224,0.875,bicubic,-89.703,-70.017,-196 +edgenext_xx_small.in1k,4.267,95.733,24.093,75.907,1.33,288,1.000,bicubic,-84.623,-73.017,+51 +tinynet_b.in1k,4.200,95.800,26.787,73.213,3.73,188,0.875,bicubic,-86.720,-70.873,+7 +efficientnet_es_pruned.in1k,4.200,95.800,26.467,73.533,5.44,224,0.875,bicubic,-86.970,-71.273,+1 +densenet201.tv_in1k,4.133,95.867,27.547,72.453,20.01,224,0.875,bicubic,-88.607,-70.683,-74 +resnet50.gluon_in1k,4.120,95.880,26.933,73.067,25.56,224,0.875,bicubic,-88.420,-71.237,-63 +fbnetc_100.rmsp_in1k,4.120,95.880,25.893,74.107,5.57,224,0.875,bilinear,-86.610,-71.317,+11 +semnasnet_100.rmsp_in1k,3.947,96.053,26.920,73.080,3.89,224,0.875,bicubic,-87.363,-70.640,-10 +mobilevitv2_050.cvnets_in1k,3.947,96.053,23.933,76.067,1.37,256,0.888,bicubic,-84.243,-73.057,+51 +resnet26.bt_in1k,3.933,96.067,28.200,71.800,16.00,288,0.950,bicubic,-88.057,-69.820,-37 +repvgg_a2.rvgg_in1k,3.933,96.067,27.227,72.773,28.21,224,0.875,bilinear,-88.007,-70.873,-30 +dpn68.mx_in1k,3.893,96.107,25.693,74.307,12.61,224,0.875,bicubic,-88.097,-72.527,-37 +tf_mixnet_s.in1k,3.880,96.120,25.280,74.720,4.13,224,0.875,bicubic,-87.640,-72.340,-19 +semnasnet_075.rmsp_in1k,3.853,96.147,27.080,72.920,2.91,224,0.875,bicubic,-86.237,-70.360,+16 +tf_efficientnet_es.in1k,3.827,96.173,26.147,73.853,5.44,224,0.875,bicubic,-88.143,-71.733,-39 +mobilevit_xxs.cvnets_in1k,3.827,96.173,21.787,78.213,1.27,256,0.900,bicubic,-83.323,-71.733,+49 +resnet18d.ra2_in1k,3.813,96.187,25.987,74.013,11.71,288,0.950,bicubic,-86.467,-71.573,+10 +regnety_008.pycls_in1k,3.800,96.200,27.147,72.853,6.26,224,0.875,bicubic,-87.930,-71.033,-28 +dla60.in1k,3.787,96.213,27.973,72.027,22.04,224,0.875,bilinear,-88.413,-70.137,-56 +resnet18.fb_ssl_yfcc100m_ft_in1k,3.747,96.253,25.387,74.613,11.69,224,0.875,bilinear,-86.463,-72.153,+9 +mobilenetv2_140.ra_in1k,3.720,96.280,26.720,73.280,6.11,224,0.875,bicubic,-88.120,-71.140,-37 +densenet169.tv_in1k,3.707,96.293,25.587,74.413,14.15,224,0.875,bicubic,-88.233,-72.553,-41 +resnet18.a1_in1k,3.707,96.293,22.960,77.040,11.69,288,1.000,bicubic,-85.973,-74.140,+16 +regnetx_016.pycls_in1k,3.613,96.387,26.320,73.680,9.19,224,0.875,bicubic,-88.567,-71.880,-59 +spnasnet_100.rmsp_in1k,3.587,96.413,24.253,75.747,4.42,224,0.875,bilinear,-86.743,-72.937,+1 +res2net50_48w_2s.in1k,3.560,96.440,26.613,73.387,25.29,224,0.875,bilinear,-88.990,-71.467,-83 +tf_mobilenetv3_large_100.in1k,3.560,96.440,25.120,74.880,5.48,224,0.875,bilinear,-87.680,-72.540,-27 +regnety_006.pycls_in1k,3.453,96.547,24.920,75.080,6.06,224,0.875,bicubic,-87.937,-72.780,-32 +resnet34.a3_in1k,3.373,96.627,23.387,76.613,21.80,224,0.950,bicubic,-86.567,-73.793,+7 +legacy_seresnet34.in1k,3.347,96.653,23.813,76.187,21.96,224,0.875,bilinear,-87.553,-73.767,-18 +resnet18.a2_in1k,3.267,96.733,22.373,77.627,11.69,288,1.000,bicubic,-86.303,-74.587,+13 +efficientnet_lite0.ra_in1k,3.240,96.760,25.933,74.067,4.65,224,0.875,bicubic,-87.880,-71.697,-28 +dla34.in1k,3.240,96.760,23.587,76.413,15.74,224,0.875,bilinear,-87.520,-74.063,-16 +ghostnet_100.in1k,3.227,96.773,24.813,75.187,5.18,224,0.875,bilinear,-86.803,-72.557,-1 +regnety_004.pycls_in1k,3.187,96.813,22.680,77.320,4.34,224,0.875,bicubic,-87.303,-74.850,-11 +mobilenetv2_110d.ra_in1k,3.173,96.827,24.587,75.413,4.52,224,0.875,bicubic,-87.797,-73.043,-26 +mnasnet_100.rmsp_in1k,3.120,96.880,24.240,75.760,4.38,224,0.875,bicubic,-87.380,-73.230,-14 +tinynet_c.in1k,3.120,96.880,21.533,78.467,2.46,184,0.875,bicubic,-84.670,-74.837,+22 +tf_efficientnet_lite0.in1k,3.040,96.960,22.907,77.093,4.65,224,0.875,bicubic,-88.010,-74.673,-32 +skresnet18.ra_in1k,3.027,96.973,22.827,77.173,11.96,224,0.875,bicubic,-86.633,-74.403,0 +vgg19_bn.tv_in1k,2.947,97.053,23.440,76.560,143.68,224,0.875,bilinear,-87.133,-74.140,-9 +tinynet_d.in1k,2.853,97.147,17.787,82.213,2.34,152,0.875,bicubic,-81.867,-77.383,+33 +tf_mobilenetv3_large_075.in1k,2.840,97.160,21.547,78.453,3.99,224,0.875,bilinear,-86.820,-75.643,-2 +resnet14t.c3_in1k,2.760,97.240,20.213,79.787,10.08,224,0.950,bicubic,-86.240,-76.517,+4 +hrnet_w18_small_v2.ms_in1k,2.720,97.280,23.707,76.293,15.60,224,0.875,bilinear,-88.480,-74.193,-43 +regnetx_008.pycls_in1k,2.667,97.333,22.440,77.560,7.26,224,0.875,bicubic,-88.383,-75.280,-40 +vgg16_bn.tv_in1k,2.653,97.347,23.800,76.200,138.37,224,0.875,bilinear,-87.437,-73.570,-17 +resnet34.gluon_in1k,2.653,97.347,21.693,78.307,21.80,224,0.875,bicubic,-88.317,-75.847,-38 +lcnet_100.ra2_in1k,2.627,97.373,20.760,79.240,2.95,224,0.875,bicubic,-86.123,-76.220,+6 +vgg16.tv_in1k,2.627,97.373,20.360,79.640,138.36,224,0.875,bilinear,-85.933,-76.440,+7 +repvgg_b0.rvgg_in1k,2.560,97.440,24.013,75.987,15.82,224,0.875,bilinear,-88.840,-73.987,-56 +densenet121.tv_in1k,2.547,97.453,22.653,77.347,7.98,224,0.875,bicubic,-88.343,-75.057,-39 +regnetx_006.pycls_in1k,2.533,97.467,20.627,79.373,6.20,224,0.875,bicubic,-87.817,-76.803,-28 +legacy_seresnet18.in1k,2.480,97.520,20.093,79.907,11.78,224,0.875,bicubic,-86.410,-76.887,-3 +lcnet_075.ra2_in1k,2.333,97.667,17.187,82.813,2.36,224,0.875,bicubic,-83.637,-78.493,+17 +mobilenetv3_small_075.lamb_in1k,2.307,97.693,15.893,84.107,2.04,224,0.875,bicubic,-80.723,-78.207,+25 +resnet18.a3_in1k,2.227,97.773,17.760,82.240,11.69,224,0.950,bicubic,-84.223,-78.120,+11 +mobilenetv2_100.ra_in1k,2.133,97.867,19.933,80.067,3.50,224,0.875,bicubic,-87.447,-77.207,-15 +regnety_002.pycls_in1k,2.120,97.880,18.907,81.093,3.16,224,0.875,bicubic,-85.250,-77.703,+4 +vgg19.tv_in1k,2.107,97.893,20.760,79.240,143.67,224,0.875,bilinear,-86.943,-76.110,-13 +vgg13_bn.tv_in1k,2.093,97.907,20.333,79.667,133.05,224,0.875,bilinear,-86.657,-76.387,-7 +tf_mobilenetv3_small_100.in1k,2.013,97.987,15.827,84.173,2.54,224,0.875,bilinear,-83.177,-79.943,+12 +mobilenetv3_small_100.lamb_in1k,2.000,98.000,17.080,82.920,2.54,224,0.875,bicubic,-83.220,-78.570,+10 +tf_mobilenetv3_small_075.in1k,1.987,98.013,14.840,85.160,2.04,224,0.875,bilinear,-81.513,-80.000,+16 +regnetx_004.pycls_in1k,1.933,98.067,19.173,80.827,5.16,224,0.875,bicubic,-86.957,-77.527,-15 +resnet34.tv_in1k,1.853,98.147,20.053,79.947,21.80,224,0.875,bilinear,-88.097,-77.287,-32 +tinynet_e.in1k,1.853,98.147,14.013,85.987,2.04,106,0.875,bicubic,-77.067,-78.527,+17 +vgg13.tv_in1k,1.840,98.160,18.013,81.987,133.05,224,0.875,bilinear,-85.200,-78.317,-2 +lcnet_050.ra2_in1k,1.827,98.173,13.880,86.120,1.88,224,0.875,bicubic,-79.953,-79.860,+13 +mobilenetv3_small_050.lamb_in1k,1.813,98.187,12.533,87.467,1.59,224,0.875,bicubic,-75.207,-78.767,+15 +mnasnet_small.lamb_in1k,1.773,98.227,15.080,84.920,2.03,224,0.875,bicubic,-82.647,-80.110,+5 +dla46x_c.in1k,1.747,98.253,16.427,83.573,1.07,224,0.875,bilinear,-82.453,-78.843,+5 +vgg11_bn.tv_in1k,1.720,98.280,18.093,81.907,132.87,224,0.875,bilinear,-85.780,-78.727,-12 +dla60x_c.in1k,1.613,98.387,18.000,82.000,1.32,224,0.875,bilinear,-84.667,-78.160,-5 +tf_mobilenetv3_large_minimal_100.in1k,1.613,98.387,17.120,82.880,3.92,224,0.875,bilinear,-87.337,-79.740,-27 +mobilenetv2_050.lamb_in1k,1.613,98.387,14.187,85.813,1.97,224,0.875,bicubic,-82.287,-80.543,+3 +resnet10t.c3_in1k,1.600,98.400,16.040,83.960,5.44,224,0.950,bicubic,-84.620,-79.700,-7 +vgg11.tv_in1k,1.560,98.440,16.187,83.813,132.86,224,0.875,bilinear,-85.020,-80.093,-11 +resnet18.gluon_in1k,1.547,98.453,16.640,83.360,11.69,224,0.875,bicubic,-86.823,-80.030,-21 +hrnet_w18_small.ms_in1k,1.533,98.467,18.093,81.907,13.19,224,0.875,bilinear,-87.517,-79.027,-34 +dla46_c.in1k,1.493,98.507,15.213,84.787,1.30,224,0.875,bilinear,-82.117,-79.737,-2 +regnetx_002.pycls_in1k,1.373,98.627,15.067,84.933,2.68,224,0.875,bicubic,-84.767,-80.893,-11 +resnet18.tv_in1k,1.147,98.853,16.227,83.773,11.69,224,0.875,bilinear,-86.233,-80.063,-21 +tf_mobilenetv3_small_minimal_100.in1k,1.040,98.960,11.493,88.507,2.04,224,0.875,bilinear,-80.360,-82.187,-1 +resnet50.tv_in1k,0.000,100.000,14.440,85.560,25.56,224,0.875,bilinear,-91.870,-83.600,-102 diff --git a/results/results-imagenet-r-clean.csv b/results/results-imagenet-r-clean.csv index d26ae41632..a370722430 100644 --- a/results/results-imagenet-r-clean.csv +++ b/results/results-imagenet-r-clean.csv @@ -1,791 +1,1004 @@ model,top1,top1_err,top5,top5_err,param_count,img_size,crop_pct,interpolation -eva_giant_patch14_336.m30m_ft_in22k_in1k,98.000,2.000,99.900,0.100,"1,013.01",336,1.000,bicubic -eva_giant_patch14_560.m30m_ft_in22k_in1k,97.990,2.010,99.860,0.140,"1,014.45",560,1.000,bicubic +eva02_large_patch14_448.mim_in22k_ft_in22k_in1k,98.160,1.840,99.880,0.120,305.08,448,1.000,bicubic +eva02_large_patch14_448.mim_m38m_ft_in22k_in1k,98.030,1.970,99.890,0.110,305.08,448,1.000,bicubic +eva_giant_patch14_560.m30m_ft_in22k_in1k,98.000,2.000,99.860,0.140,"1,014.45",560,1.000,bicubic +eva_giant_patch14_336.m30m_ft_in22k_in1k,97.990,2.010,99.900,0.100,"1,013.01",336,1.000,bicubic +convnextv2_huge.fcmae_ft_in22k_in1k_384,97.870,2.130,99.910,0.090,660.29,384,1.000,bicubic eva_large_patch14_336.in22k_ft_in22k_in1k,97.860,2.140,99.880,0.120,304.53,336,1.000,bicubic +eva02_large_patch14_448.mim_in22k_ft_in1k,97.860,2.140,99.800,0.200,305.08,448,1.000,bicubic eva_giant_patch14_336.clip_ft_in1k,97.860,2.140,99.790,0.210,"1,013.01",336,1.000,bicubic +eva02_large_patch14_448.mim_m38m_ft_in1k,97.830,2.170,99.820,0.180,305.08,448,1.000,bicubic +convnextv2_huge.fcmae_ft_in22k_in1k_512,97.810,2.190,99.860,0.140,660.29,512,1.000,bicubic eva_large_patch14_336.in22k_ft_in1k,97.810,2.190,99.840,0.160,304.53,336,1.000,bicubic beit_large_patch16_384.in22k_ft_in22k_in1k,97.810,2.190,99.790,0.210,305.00,384,1.000,bicubic tf_efficientnet_l2.ns_jft_in1k,97.780,2.220,99.890,0.110,480.31,800,0.960,bicubic +regnety_1280.swag_ft_in1k,97.780,2.220,99.860,0.140,644.81,384,1.000,bicubic beit_large_patch16_512.in22k_ft_in22k_in1k,97.780,2.220,99.820,0.180,305.67,512,1.000,bicubic maxvit_base_tf_512.in21k_ft_in1k,97.760,2.240,99.860,0.140,119.88,512,1.000,bicubic maxvit_xlarge_tf_512.in21k_ft_in1k,97.760,2.240,99.820,0.180,475.77,512,1.000,bicubic tf_efficientnet_l2.ns_jft_in1k_475,97.750,2.250,99.820,0.180,480.31,475,0.936,bicubic +convnext_xxlarge.clip_laion2b_soup_ft_in1k,97.750,2.250,99.810,0.190,846.47,256,1.000,bicubic beitv2_large_patch16_224.in1k_ft_in22k_in1k,97.750,2.250,99.790,0.210,304.43,224,0.950,bicubic maxvit_xlarge_tf_384.in21k_ft_in1k,97.740,2.260,99.850,0.150,475.32,384,1.000,bicubic -eva_giant_patch14_224.clip_ft_in1k,97.680,2.320,99.750,0.250,"1,012.56",224,1.000,bicubic -maxvit_large_tf_384.in21k_ft_in1k,97.670,2.330,99.820,0.180,212.03,384,1.000,bicubic +eva02_base_patch14_448.mim_in22k_ft_in1k,97.720,2.280,99.760,0.240,87.12,448,1.000,bicubic maxvit_large_tf_512.in21k_ft_in1k,97.670,2.330,99.730,0.270,212.33,512,1.000,bicubic -eva_large_patch14_196.in22k_ft_in22k_in1k,97.610,2.390,99.810,0.190,304.14,196,1.000,bicubic +caformer_b36.sail_in22k_ft_in1k_384,97.660,2.340,99.860,0.140,98.75,384,1.000,bicubic +maxvit_large_tf_384.in21k_ft_in1k,97.660,2.340,99.820,0.180,212.03,384,1.000,bicubic +convnextv2_large.fcmae_ft_in22k_in1k_384,97.630,2.370,99.800,0.200,197.96,384,1.000,bicubic +eva_large_patch14_196.in22k_ft_in22k_in1k,97.620,2.380,99.810,0.190,304.14,196,1.000,bicubic +eva02_base_patch14_448.mim_in22k_ft_in22k_in1k,97.610,2.390,99.820,0.180,87.12,448,1.000,bicubic +vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,97.610,2.390,99.780,0.220,632.46,336,1.000,bicubic vit_large_patch14_clip_224.openai_ft_in12k_in1k,97.610,2.390,99.730,0.270,304.20,224,1.000,bicubic -vit_large_patch14_clip_336.openai_ft_in12k_in1k,97.610,2.390,99.730,0.270,304.53,336,1.000,bicubic -vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,97.600,2.400,99.780,0.220,632.46,336,1.000,bicubic +vit_large_patch14_clip_336.openai_ft_in12k_in1k,97.600,2.400,99.730,0.270,304.53,336,1.000,bicubic convnext_xlarge.fb_in22k_ft_in1k_384,97.590,2.410,99.770,0.230,350.20,384,1.000,bicubic +deit3_large_patch16_384.fb_in22k_ft_in1k,97.580,2.420,99.710,0.290,304.76,384,1.000,bicubic +eva_giant_patch14_224.clip_ft_in1k,97.570,2.430,99.710,0.290,"1,012.56",224,0.900,bicubic maxvit_base_tf_384.in21k_ft_in1k,97.560,2.440,99.760,0.240,119.65,384,1.000,bicubic -deit3_large_patch16_384_in21ft1k,97.560,2.440,99.710,0.290,304.76,384,1.000,bicubic eva_large_patch14_196.in22k_ft_in1k,97.520,2.480,99.790,0.210,304.14,196,1.000,bicubic +convformer_b36.sail_in22k_ft_in1k_384,97.490,2.510,99.760,0.240,99.88,384,1.000,bicubic beit_large_patch16_224.in22k_ft_in22k_in1k,97.480,2.520,99.690,0.310,304.43,224,0.900,bicubic -vit_large_patch14_clip_224.openai_ft_in1k,97.460,2.540,99.680,0.320,304.20,224,1.000,bicubic +convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384,97.470,2.530,99.760,0.240,200.13,384,1.000,bicubic +vit_large_patch14_clip_336.laion2b_ft_in12k_in1k,97.460,2.540,99.780,0.220,304.53,336,1.000,bicubic convnext_xlarge.fb_in22k_ft_in1k,97.450,2.550,99.820,0.180,350.20,288,1.000,bicubic -vit_large_patch14_clip_336.laion2b_ft_in12k_in1k,97.450,2.550,99.780,0.220,304.53,336,1.000,bicubic -vit_large_patch16_384.augreg_in21k_ft_in1k,97.420,2.580,99.780,0.220,304.72,384,1.000,bicubic +maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k,97.450,2.550,99.760,0.240,116.09,384,1.000,bicubic +vit_large_patch14_clip_224.openai_ft_in1k,97.440,2.560,99.680,0.320,304.20,224,1.000,bicubic +vit_large_patch16_384.augreg_in21k_ft_in1k,97.410,2.590,99.780,0.220,304.72,384,1.000,bicubic vit_large_patch14_clip_224.laion2b_ft_in12k_in1k,97.390,2.610,99.740,0.260,304.20,224,1.000,bicubic +convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384,97.390,2.610,99.730,0.270,200.13,384,1.000,bicubic +regnety_1280.swag_lc_in1k,97.390,2.610,99.730,0.270,644.81,224,0.965,bicubic +regnety_320.swag_ft_in1k,97.380,2.620,99.760,0.240,145.05,384,1.000,bicubic +convnextv2_base.fcmae_ft_in22k_in1k_384,97.380,2.620,99.720,0.280,88.72,384,1.000,bicubic +caformer_m36.sail_in22k_ft_in1k_384,97.370,2.630,99.790,0.210,56.20,384,1.000,bicubic +coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k,97.370,2.630,99.700,0.300,73.88,384,1.000,bicubic +convformer_m36.sail_in22k_ft_in1k_384,97.370,2.630,99.680,0.320,57.05,384,1.000,bicubic +caformer_b36.sail_in22k_ft_in1k,97.360,2.640,99.830,0.170,98.75,224,1.000,bicubic vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k,97.360,2.640,99.800,0.200,632.05,224,1.000,bicubic -beit_base_patch16_384.in22k_ft_in22k_in1k,97.330,2.670,99.720,0.280,86.74,384,1.000,bicubic +maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k,97.340,2.660,99.690,0.310,116.14,384,1.000,bicubic tf_efficientnetv2_xl.in21k_ft_in1k,97.330,2.670,99.600,0.400,208.12,512,1.000,bicubic +beit_base_patch16_384.in22k_ft_in22k_in1k,97.320,2.680,99.720,0.280,86.74,384,1.000,bicubic tf_efficientnetv2_l.in21k_ft_in1k,97.320,2.680,99.640,0.360,118.52,480,1.000,bicubic -convnext_large.fb_in22k_ft_in1k_384,97.310,2.690,99.760,0.240,197.77,384,1.000,bicubic -deit3_large_patch16_224_in21ft1k,97.310,2.690,99.680,0.320,304.37,224,1.000,bicubic -swinv2_large_window12to24_192to384_22kft1k,97.290,2.710,99.780,0.220,196.74,384,1.000,bicubic -volo_d5_512,97.290,2.710,99.760,0.240,296.09,512,1.150,bicubic -swinv2_base_window12to24_192to384_22kft1k,97.260,2.740,99.790,0.210,87.92,384,1.000,bicubic -deit3_huge_patch14_224_in21ft1k,97.250,2.750,99.720,0.280,632.13,224,1.000,bicubic -convnext_base.fb_in22k_ft_in1k_384,97.250,2.750,99.710,0.290,88.59,384,1.000,bicubic -volo_d5_448,97.240,2.760,99.740,0.260,295.91,448,1.150,bicubic -swinv2_large_window12to16_192to256_22kft1k,97.240,2.760,99.710,0.290,196.74,256,0.900,bicubic -deit3_base_patch16_384_in21ft1k,97.240,2.760,99.670,0.330,86.88,384,1.000,bicubic +convnextv2_large.fcmae_ft_in22k_in1k,97.310,2.690,99.760,0.240,197.96,288,1.000,bicubic +beitv2_large_patch16_224.in1k_ft_in1k,97.310,2.690,99.740,0.260,304.43,224,0.950,bicubic +deit3_large_patch16_224.fb_in22k_ft_in1k,97.310,2.690,99.680,0.320,304.37,224,1.000,bicubic +convnext_large.fb_in22k_ft_in1k_384,97.300,2.700,99.760,0.240,197.77,384,1.000,bicubic +volo_d5_512.sail_in1k,97.300,2.700,99.760,0.240,296.09,512,1.150,bicubic +seresnextaa101d_32x8d.sw_in12k_ft_in1k_288,97.290,2.710,99.780,0.220,93.59,320,1.000,bicubic +caformer_s36.sail_in22k_ft_in1k_384,97.290,2.710,99.720,0.280,39.30,384,1.000,bicubic +swinv2_large_window12to24_192to384.ms_in22k_ft_in1k,97.280,2.720,99.780,0.220,196.74,384,1.000,bicubic +swinv2_base_window12to24_192to384.ms_in22k_ft_in1k,97.270,2.730,99.790,0.210,87.92,384,1.000,bicubic +convformer_b36.sail_in22k_ft_in1k,97.260,2.740,99.750,0.250,99.88,224,1.000,bicubic +convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320,97.260,2.740,99.740,0.260,200.13,320,1.000,bicubic +convnext_base.fb_in22k_ft_in1k_384,97.260,2.740,99.710,0.290,88.59,384,1.000,bicubic +convnextv2_huge.fcmae_ft_in1k,97.250,2.750,99.720,0.280,660.29,288,1.000,bicubic +deit3_huge_patch14_224.fb_in22k_ft_in1k,97.250,2.750,99.720,0.280,632.13,224,1.000,bicubic +volo_d5_448.sail_in1k,97.240,2.760,99.740,0.260,295.91,448,1.150,bicubic +swinv2_large_window12to16_192to256.ms_in22k_ft_in1k,97.240,2.760,99.710,0.290,196.74,256,0.900,bicubic +deit3_base_patch16_384.fb_in22k_ft_in1k,97.240,2.760,99.670,0.330,86.88,384,1.000,bicubic vit_large_patch14_clip_336.laion2b_ft_in1k,97.230,2.770,99.720,0.280,304.53,336,1.000,bicubic -convnext_base.fb_in22k_ft_in1k,97.220,2.780,99.760,0.240,88.59,288,1.000,bicubic convnext_large.fb_in22k_ft_in1k,97.220,2.780,99.730,0.270,197.77,288,1.000,bicubic vit_base_patch16_clip_384.laion2b_ft_in12k_in1k,97.220,2.780,99.700,0.300,86.86,384,1.000,bicubic -tf_efficientnet_b7.ns_jft_in1k,97.200,2.800,99.700,0.300,66.35,600,0.949,bicubic -maxvit_base_tf_512.in1k,97.180,2.820,99.640,0.360,119.88,512,1.000,bicubic -maxvit_small_tf_512.in1k,97.180,2.820,99.620,0.380,69.13,512,1.000,bicubic -swin_large_patch4_window12_384,97.170,2.830,99.680,0.320,196.74,384,1.000,bicubic -vit_base_patch16_clip_384.openai_ft_in12k_in1k,97.140,2.860,99.640,0.360,86.86,384,0.950,bicubic -swin_base_patch4_window12_384,97.120,2.880,99.780,0.220,87.90,384,1.000,bicubic +convnext_base.fb_in22k_ft_in1k,97.200,2.800,99.760,0.240,88.59,288,1.000,bicubic +convnextv2_base.fcmae_ft_in22k_in1k,97.200,2.800,99.760,0.240,88.72,288,1.000,bicubic +tf_efficientnet_b7.ns_jft_in1k,97.190,2.810,99.700,0.300,66.35,600,0.949,bicubic +maxvit_small_tf_512.in1k,97.190,2.810,99.620,0.380,69.13,512,1.000,bicubic +coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k,97.180,2.820,99.650,0.350,73.88,224,0.950,bicubic +regnety_160.swag_ft_in1k,97.170,2.830,99.780,0.220,83.59,384,1.000,bicubic +seresnextaa101d_32x8d.sw_in12k_ft_in1k,97.170,2.830,99.740,0.260,93.59,288,1.000,bicubic +swin_large_patch4_window12_384.ms_in22k_ft_in1k,97.170,2.830,99.680,0.320,196.74,384,1.000,bicubic +maxvit_base_tf_512.in1k,97.170,2.830,99.640,0.360,119.88,512,1.000,bicubic +caformer_b36.sail_in1k_384,97.160,2.840,99.610,0.390,98.75,384,1.000,bicubic +swin_base_patch4_window12_384.ms_in22k_ft_in1k,97.130,2.870,99.780,0.220,87.90,384,1.000,bicubic +convnext_large_mlp.clip_laion2b_augreg_ft_in1k,97.130,2.870,99.720,0.280,200.13,256,1.000,bicubic +vit_base_patch16_clip_384.openai_ft_in12k_in1k,97.120,2.880,99.640,0.360,86.86,384,0.950,bicubic maxvit_base_tf_384.in1k,97.120,2.880,99.570,0.430,119.65,384,1.000,bicubic -vit_huge_patch14_clip_224.laion2b_ft_in1k,97.100,2.900,99.700,0.300,632.05,224,1.000,bicubic -convnext_small.fb_in22k_ft_in1k_384,97.100,2.900,99.640,0.360,50.22,384,1.000,bicubic -vit_base_patch8_224.augreg_in21k_ft_in1k,97.080,2.920,99.620,0.380,86.58,224,0.900,bicubic -volo_d4_448,97.070,2.930,99.750,0.250,193.41,448,1.150,bicubic -swinv2_base_window12to16_192to256_22kft1k,97.060,2.940,99.660,0.340,87.92,256,0.900,bicubic +convnext_small.fb_in22k_ft_in1k_384,97.110,2.890,99.640,0.360,50.22,384,1.000,bicubic +maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k,97.110,2.890,99.600,0.400,116.14,224,0.950,bicubic +vit_huge_patch14_clip_224.laion2b_ft_in1k,97.100,2.900,99.690,0.310,632.05,224,1.000,bicubic +maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k,97.090,2.910,99.680,0.320,116.09,224,0.950,bicubic +vit_base_patch8_224.augreg_in21k_ft_in1k,97.090,2.910,99.610,0.390,86.58,224,0.900,bicubic +volo_d4_448.sail_in1k,97.070,2.930,99.750,0.250,193.41,448,1.150,bicubic +convformer_m36.sail_in22k_ft_in1k,97.070,2.930,99.630,0.370,57.05,224,1.000,bicubic +convformer_s36.sail_in22k_ft_in1k_384,97.060,2.940,99.710,0.290,40.01,384,1.000,bicubic +swinv2_base_window12to16_192to256.ms_in22k_ft_in1k,97.050,2.950,99.660,0.340,87.92,256,0.900,bicubic maxvit_large_tf_512.in1k,97.050,2.950,99.590,0.410,212.33,512,1.000,bicubic +convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384,97.040,2.960,99.670,0.330,88.59,384,1.000,bicubic +caformer_m36.sail_in1k_384,97.030,2.970,99.710,0.290,56.20,384,1.000,bicubic +volo_d3_448.sail_in1k,97.030,2.970,99.680,0.320,86.63,448,1.000,bicubic +dm_nfnet_f5.dm_in1k,97.030,2.970,99.670,0.330,377.21,544,0.954,bicubic +caformer_m36.sail_in22k_ft_in1k,97.020,2.980,99.730,0.270,56.20,224,1.000,bicubic tf_efficientnet_b6.ns_jft_in1k,97.020,2.980,99.710,0.290,43.04,528,0.942,bicubic vit_base_patch16_384.augreg_in21k_ft_in1k,97.020,2.980,99.710,0.290,86.86,384,1.000,bicubic -volo_d3_448,97.020,2.980,99.680,0.320,86.63,448,1.000,bicubic vit_large_patch14_clip_224.laion2b_ft_in1k,97.020,2.980,99.670,0.330,304.20,224,1.000,bicubic tf_efficientnetv2_m.in21k_ft_in1k,97.000,3.000,99.630,0.370,54.14,480,1.000,bicubic -ig_resnext101_32x48d,96.970,3.030,99.670,0.330,828.41,224,0.875,bilinear +convnext_small.in12k_ft_in1k_384,96.990,3.010,99.660,0.340,50.22,384,1.000,bicubic +coatnet_2_rw_224.sw_in12k_ft_in1k,96.990,3.010,99.650,0.350,73.87,224,0.950,bicubic +dm_nfnet_f6.dm_in1k,96.970,3.030,99.760,0.240,438.36,576,0.956,bicubic maxvit_tiny_tf_512.in1k,96.970,3.030,99.670,0.330,31.05,512,1.000,bicubic vit_large_r50_s32_384.augreg_in21k_ft_in1k,96.950,3.050,99.710,0.290,329.09,384,1.000,bicubic -swin_large_patch4_window7_224,96.950,3.050,99.660,0.340,196.53,224,0.900,bicubic -vit_base_patch8_224.augreg2_in21k_ft_in1k,96.940,3.060,99.640,0.360,86.58,224,0.900,bicubic -maxvit_large_tf_384.in1k,96.940,3.060,99.580,0.420,212.03,384,1.000,bicubic -xcit_large_24_p16_384_dist,96.940,3.060,99.520,0.480,189.10,384,1.000,bicubic -dm_nfnet_f6,96.920,3.080,99.720,0.280,438.36,576,0.956,bicubic +vit_base_patch8_224.augreg2_in21k_ft_in1k,96.950,3.050,99.640,0.360,86.58,224,0.900,bicubic +dm_nfnet_f4.dm_in1k,96.950,3.050,99.630,0.370,316.07,512,0.951,bicubic +swin_large_patch4_window7_224.ms_in22k_ft_in1k,96.940,3.060,99.670,0.330,196.53,224,0.900,bicubic +xcit_large_24_p16_384.fb_dist_in1k,96.940,3.060,99.510,0.490,189.10,384,1.000,bicubic +maxvit_large_tf_384.in1k,96.930,3.070,99.570,0.430,212.03,384,1.000,bicubic beitv2_base_patch16_224.in1k_ft_in22k_in1k,96.910,3.090,99.730,0.270,86.53,224,0.900,bicubic -vit_base_patch16_clip_384.laion2b_ft_in1k,96.910,3.090,99.670,0.330,86.86,384,1.000,bicubic -volo_d5_224,96.880,3.120,99.670,0.330,295.46,224,0.960,bicubic -cait_m48_448,96.880,3.120,99.620,0.380,356.46,448,1.000,bicubic -resnetv2_152x4_bitm,96.870,3.130,99.660,0.340,936.53,480,1.000,bilinear +vit_base_patch16_clip_384.laion2b_ft_in1k,96.900,3.100,99.670,0.330,86.86,384,1.000,bicubic +caformer_s36.sail_in1k_384,96.880,3.120,99.670,0.330,39.30,384,1.000,bicubic +volo_d5_224.sail_in1k,96.880,3.120,99.670,0.330,295.46,224,0.960,bicubic +resnetv2_152x4_bit.goog_in21k_ft_in1k,96.880,3.120,99.660,0.340,936.53,480,1.000,bilinear +cait_m48_448.fb_dist_in1k,96.880,3.120,99.620,0.380,356.46,448,1.000,bicubic +convformer_b36.sail_in1k_384,96.870,3.130,99.650,0.350,99.88,384,1.000,bicubic tf_efficientnet_b5.ns_jft_in1k,96.870,3.130,99.640,0.360,30.39,456,0.934,bicubic -deit3_base_patch16_224_in21ft1k,96.870,3.130,99.620,0.380,86.59,224,1.000,bicubic -deit3_large_patch16_384,96.850,3.150,99.620,0.380,304.76,384,1.000,bicubic -cait_m36_384,96.830,3.170,99.660,0.340,271.22,384,1.000,bicubic -vit_base_patch16_clip_384.openai_ft_in1k,96.820,3.180,99.660,0.340,86.86,384,1.000,bicubic -xcit_small_24_p8_384_dist,96.820,3.180,99.630,0.370,47.63,384,1.000,bicubic -dm_nfnet_f5,96.810,3.190,99.670,0.330,377.21,544,0.954,bicubic +convnext_base.clip_laiona_augreg_ft_in1k_384,96.860,3.140,99.690,0.310,88.59,384,1.000,bicubic +deit3_base_patch16_224.fb_in22k_ft_in1k,96.860,3.140,99.620,0.380,86.59,224,1.000,bicubic +deit3_large_patch16_384.fb_in1k,96.850,3.150,99.620,0.380,304.76,384,1.000,bicubic +cait_m36_384.fb_dist_in1k,96.840,3.160,99.660,0.340,271.22,384,1.000,bicubic +convnextv2_large.fcmae_ft_in1k,96.830,3.170,99.760,0.240,197.96,288,1.000,bicubic +regnety_160.sw_in12k_ft_in1k,96.820,3.180,99.690,0.310,83.59,288,1.000,bicubic +caformer_s36.sail_in22k_ft_in1k,96.820,3.180,99.620,0.380,39.30,224,1.000,bicubic +regnety_160.lion_in12k_ft_in1k,96.810,3.190,99.710,0.290,83.59,288,1.000,bicubic +vit_base_patch16_clip_384.openai_ft_in1k,96.810,3.190,99.660,0.340,86.86,384,1.000,bicubic +xcit_small_24_p8_384.fb_dist_in1k,96.810,3.190,99.630,0.370,47.63,384,1.000,bicubic convnext_small.fb_in22k_ft_in1k,96.810,3.190,99.510,0.490,50.22,288,1.000,bicubic -volo_d4_224,96.780,3.220,99.670,0.330,192.96,224,0.960,bicubic -dm_nfnet_f4,96.780,3.220,99.620,0.380,316.07,512,0.951,bicubic +convformer_s18.sail_in22k_ft_in1k_384,96.790,3.210,99.710,0.290,26.77,384,1.000,bicubic +convnext_base.clip_laion2b_augreg_ft_in12k_in1k,96.790,3.210,99.680,0.320,88.59,256,1.000,bicubic +regnety_320.swag_lc_in1k,96.780,3.220,99.730,0.270,145.05,224,0.965,bicubic +volo_d4_224.sail_in1k,96.780,3.220,99.670,0.330,192.96,224,0.960,bicubic +convformer_m36.sail_in1k_384,96.780,3.220,99.620,0.380,57.05,384,1.000,bicubic flexivit_large.1200ep_in1k,96.780,3.220,99.610,0.390,304.36,240,0.950,bicubic -xcit_medium_24_p8_384_dist,96.780,3.220,99.610,0.390,84.32,384,1.000,bicubic -ig_resnext101_32x32d,96.780,3.220,99.530,0.470,468.53,224,0.875,bilinear -efficientnet_b5.in12k_ft_in1k,96.770,3.230,99.600,0.400,30.39,448,1.000,bicubic -xcit_large_24_p8_384_dist,96.760,3.240,99.560,0.440,188.93,384,1.000,bicubic -maxvit_small_tf_384.in1k,96.740,3.260,99.600,0.400,69.02,384,1.000,bicubic -flexivit_large.600ep_in1k,96.740,3.260,99.550,0.450,304.36,240,0.950,bicubic +xcit_medium_24_p8_384.fb_dist_in1k,96.770,3.230,99.620,0.380,84.32,384,1.000,bicubic +efficientnet_b5.sw_in12k_ft_in1k,96.770,3.230,99.600,0.400,30.39,448,1.000,bicubic +resnext101_32x32d.fb_wsl_ig1b_ft_in1k,96.770,3.230,99.530,0.470,468.53,224,0.875,bilinear +xcit_large_24_p8_384.fb_dist_in1k,96.760,3.240,99.560,0.440,188.93,384,1.000,bicubic +maxvit_small_tf_384.in1k,96.750,3.250,99.600,0.400,69.02,384,1.000,bicubic +beitv2_base_patch16_224.in1k_ft_in1k,96.750,3.250,99.540,0.460,86.53,224,0.900,bicubic tf_efficientnetv2_l.in1k,96.740,3.260,99.550,0.450,118.52,480,1.000,bicubic -dm_nfnet_f3,96.730,3.270,99.630,0.370,254.92,416,0.940,bicubic -vit_large_patch16_224.augreg_in21k_ft_in1k,96.710,3.290,99.650,0.350,304.33,224,0.900,bicubic +flexivit_large.600ep_in1k,96.730,3.270,99.560,0.440,304.36,240,0.950,bicubic tf_efficientnet_b4.ns_jft_in1k,96.710,3.290,99.640,0.360,19.34,380,0.922,bicubic -volo_d2_384,96.710,3.290,99.600,0.400,58.87,384,1.000,bicubic -xcit_medium_24_p16_384_dist,96.700,3.300,99.600,0.400,84.40,384,1.000,bicubic +volo_d2_384.sail_in1k,96.710,3.290,99.600,0.400,58.87,384,1.000,bicubic +vit_large_patch16_224.augreg_in21k_ft_in1k,96.700,3.300,99.650,0.350,304.33,224,0.900,bicubic +flexivit_large.300ep_in1k,96.700,3.300,99.580,0.420,304.36,240,0.950,bicubic +convformer_s36.sail_in1k_384,96.700,3.300,99.570,0.430,40.01,384,1.000,bicubic tf_efficientnet_b8.ra_in1k,96.700,3.300,99.530,0.470,87.41,672,0.954,bicubic -flexivit_large.300ep_in1k,96.690,3.310,99.580,0.420,304.36,240,0.950,bicubic -swin_base_patch4_window7_224,96.680,3.320,99.660,0.340,87.77,224,0.900,bicubic -deit3_small_patch16_384_in21ft1k,96.670,3.330,99.640,0.360,22.21,384,1.000,bicubic +eva02_small_patch14_336.mim_in22k_ft_in1k,96.690,3.310,99.610,0.390,22.13,336,1.000,bicubic +xcit_medium_24_p16_384.fb_dist_in1k,96.690,3.310,99.600,0.400,84.40,384,1.000,bicubic +swin_base_patch4_window7_224.ms_in22k_ft_in1k,96.680,3.320,99.670,0.330,87.77,224,0.900,bicubic +deit3_small_patch16_384.fb_in22k_ft_in1k,96.670,3.330,99.640,0.360,22.21,384,1.000,bicubic beit_base_patch16_224.in22k_ft_in22k_in1k,96.660,3.340,99.660,0.340,86.53,224,0.900,bicubic -xcit_large_24_p8_224_dist,96.640,3.360,99.460,0.540,188.93,224,1.000,bicubic -cait_s36_384,96.630,3.370,99.600,0.400,68.37,384,1.000,bicubic +cait_s36_384.fb_dist_in1k,96.630,3.370,99.610,0.390,68.37,384,1.000,bicubic +xcit_large_24_p8_224.fb_dist_in1k,96.630,3.370,99.460,0.540,188.93,224,1.000,bicubic +dm_nfnet_f3.dm_in1k,96.620,3.380,99.630,0.370,254.92,416,0.940,bicubic +convnextv2_tiny.fcmae_ft_in22k_in1k_384,96.620,3.380,99.580,0.420,28.64,384,1.000,bicubic +vit_base_patch16_clip_224.laion2b_ft_in12k_in1k,96.620,3.380,99.560,0.440,86.57,224,0.950,bicubic vit_base_patch32_clip_384.laion2b_ft_in12k_in1k,96.610,3.390,99.480,0.520,88.30,384,1.000,bicubic -regnetz_e8,96.600,3.400,99.610,0.390,57.70,320,1.000,bicubic -maxvit_tiny_tf_384.in1k,96.600,3.400,99.560,0.440,30.98,384,1.000,bicubic -vit_base_patch16_clip_224.laion2b_ft_in12k_in1k,96.600,3.400,99.560,0.440,86.57,224,0.950,bicubic -tf_efficientnet_b7.ra_in1k,96.580,3.420,99.510,0.490,66.35,600,0.949,bicubic -cait_s24_384,96.570,3.430,99.550,0.450,47.06,384,1.000,bicubic -deit3_huge_patch14_224,96.570,3.430,99.520,0.480,632.13,224,0.900,bicubic +regnetz_e8.ra3_in1k,96.600,3.400,99.620,0.380,57.70,320,1.000,bicubic +convnext_small.in12k_ft_in1k,96.600,3.400,99.580,0.420,50.22,288,1.000,bicubic +maxvit_tiny_tf_384.in1k,96.590,3.410,99.560,0.440,30.98,384,1.000,bicubic +deit3_huge_patch14_224.fb_in1k,96.580,3.420,99.520,0.480,632.13,224,0.900,bicubic +cait_s24_384.fb_dist_in1k,96.570,3.430,99.550,0.450,47.06,384,1.000,bicubic +tf_efficientnet_b7.ra_in1k,96.570,3.430,99.520,0.480,66.35,600,0.949,bicubic vit_base_patch32_clip_448.laion2b_ft_in12k_in1k,96.570,3.430,99.520,0.480,88.34,448,1.000,bicubic -xcit_small_24_p8_224_dist,96.550,3.450,99.570,0.430,47.63,224,1.000,bicubic +coat_lite_medium_384.in1k,96.570,3.430,99.470,0.530,44.57,384,1.000,bicubic +regnety_120.sw_in12k_ft_in1k,96.560,3.440,99.680,0.320,51.82,288,1.000,bicubic +convnext_base.clip_laion2b_augreg_ft_in1k,96.560,3.440,99.650,0.350,88.59,256,1.000,bicubic +convnext_tiny.in12k_ft_in1k_384,96.560,3.440,99.630,0.370,28.59,384,1.000,bicubic +xcit_small_24_p8_224.fb_dist_in1k,96.550,3.450,99.560,0.440,47.63,224,1.000,bicubic tf_efficientnet_b8.ap_in1k,96.550,3.450,99.540,0.460,87.41,672,0.954,bicubic -resnetv2_152x2_bitm,96.520,3.480,99.590,0.410,236.34,448,1.000,bilinear -xcit_medium_24_p8_224_dist,96.520,3.480,99.510,0.490,84.32,224,1.000,bicubic -vit_medium_patch16_gap_384.in12k_ft_in1k,96.510,3.490,99.620,0.380,39.03,384,0.950,bicubic -deit_base_distilled_patch16_384,96.510,3.490,99.590,0.410,87.63,384,1.000,bicubic +hrnet_w48_ssld.paddle_in1k,96.540,3.460,99.640,0.360,77.47,288,1.000,bilinear +caformer_s18.sail_in22k_ft_in1k_384,96.530,3.470,99.580,0.420,26.34,384,1.000,bicubic +regnety_2560.seer_ft_in1k,96.530,3.470,99.520,0.480,"1,282.60",384,1.000,bicubic +xcit_medium_24_p8_224.fb_dist_in1k,96.530,3.470,99.510,0.490,84.32,224,1.000,bicubic +resnetv2_152x2_bit.goog_in21k_ft_in1k,96.520,3.480,99.590,0.410,236.34,448,1.000,bilinear +dm_nfnet_f2.dm_in1k,96.520,3.480,99.570,0.430,193.78,352,0.920,bicubic +deit_base_distilled_patch16_384.fb_in1k,96.510,3.490,99.590,0.410,87.63,384,1.000,bicubic vit_base_patch16_224.augreg2_in21k_ft_in1k,96.510,3.490,99.560,0.440,86.57,224,0.900,bicubic vit_base_patch16_clip_224.openai_ft_in12k_in1k,96.510,3.490,99.550,0.450,86.57,224,0.950,bicubic +convformer_s36.sail_in22k_ft_in1k,96.500,3.500,99.630,0.370,40.01,224,1.000,bicubic +caformer_b36.sail_in1k,96.500,3.500,99.460,0.540,98.75,224,1.000,bicubic +vit_medium_patch16_gap_384.sw_in12k_ft_in1k,96.490,3.510,99.620,0.380,39.03,384,0.950,bicubic tf_efficientnetv2_m.in1k,96.480,3.520,99.610,0.390,54.14,480,1.000,bicubic -xcit_small_12_p8_384_dist,96.480,3.520,99.490,0.510,26.21,384,1.000,bicubic +volo_d1_384.sail_in1k,96.480,3.520,99.550,0.450,26.78,384,1.000,bicubic +convnextv2_base.fcmae_ft_in1k,96.480,3.520,99.520,0.480,88.72,288,1.000,bicubic tf_efficientnetv2_s.in21k_ft_in1k,96.470,3.530,99.570,0.430,21.46,384,1.000,bicubic -volo_d1_384,96.470,3.530,99.550,0.450,26.78,384,1.000,bicubic -ecaresnet269d,96.460,3.540,99.610,0.390,102.09,352,1.000,bicubic -dm_nfnet_f2,96.460,3.540,99.540,0.460,193.78,352,0.920,bicubic +xcit_small_12_p8_384.fb_dist_in1k,96.470,3.530,99.490,0.510,26.21,384,1.000,bicubic +regnety_160.swag_lc_in1k,96.450,3.550,99.750,0.250,83.59,224,0.965,bicubic vit_base_r50_s16_384.orig_in21k_ft_in1k,96.450,3.550,99.660,0.340,98.95,384,1.000,bicubic -eca_nfnet_l2,96.450,3.550,99.620,0.380,56.72,384,1.000,bicubic -volo_d3_224,96.450,3.550,99.620,0.380,86.33,224,0.960,bicubic -ig_resnext101_32x16d,96.440,3.560,99.540,0.460,194.03,224,0.875,bilinear -seresnextaa101d_32x8d,96.420,3.580,99.520,0.480,93.59,288,1.000,bicubic -volo_d2_224,96.420,3.580,99.500,0.500,58.68,224,0.960,bicubic +eca_nfnet_l2.ra3_in1k,96.450,3.550,99.610,0.390,56.72,384,1.000,bicubic +ecaresnet269d.ra2_in1k,96.450,3.550,99.610,0.390,102.09,352,1.000,bicubic +seresnextaa101d_32x8d.ah_in1k,96.440,3.560,99.510,0.490,93.59,288,1.000,bicubic +volo_d3_224.sail_in1k,96.430,3.570,99.630,0.370,86.33,224,0.960,bicubic +resnext101_32x16d.fb_wsl_ig1b_ft_in1k,96.430,3.570,99.540,0.460,194.03,224,0.875,bilinear +volo_d2_224.sail_in1k,96.420,3.580,99.500,0.500,58.68,224,0.960,bicubic vit_base_patch32_clip_384.openai_ft_in12k_in1k,96.420,3.580,99.460,0.540,88.30,384,0.950,bicubic -mvitv2_large,96.410,3.590,99.450,0.550,217.99,224,0.900,bicubic -resnetrs420,96.400,3.600,99.540,0.460,191.89,416,1.000,bicubic +caformer_s18.sail_in1k_384,96.410,3.590,99.560,0.440,26.34,384,1.000,bicubic +caformer_m36.sail_in1k,96.410,3.590,99.530,0.470,56.20,224,1.000,bicubic +resnetrs420.tf_in1k,96.400,3.600,99.540,0.460,191.89,416,1.000,bicubic convnext_large.fb_in1k,96.400,3.600,99.530,0.470,197.77,288,1.000,bicubic -dm_nfnet_f1,96.390,3.610,99.470,0.530,132.63,320,0.910,bicubic +mvitv2_large.fb_in1k,96.400,3.600,99.450,0.550,217.99,224,0.900,bicubic +swin_base_patch4_window12_384.ms_in1k,96.380,3.620,99.420,0.580,87.90,384,1.000,bicubic tf_efficientnet_b6.ap_in1k,96.370,3.630,99.550,0.450,43.04,528,0.942,bicubic -seresnext101d_32x8d,96.360,3.640,99.470,0.530,93.59,288,1.000,bicubic +seresnext101d_32x8d.ah_in1k,96.360,3.640,99.470,0.530,93.59,288,1.000,bicubic +resnetaa101d.sw_in12k_ft_in1k,96.360,3.640,99.440,0.560,44.57,288,1.000,bicubic tf_efficientnet_b7.ap_in1k,96.350,3.650,99.590,0.410,66.35,600,0.949,bicubic -resmlp_big_24_224_in22ft1k,96.350,3.650,99.520,0.480,129.14,224,0.875,bicubic -maxvit_base_tf_224.in1k,96.350,3.650,99.370,0.630,119.47,224,0.950,bicubic -xcit_small_24_p16_384_dist,96.340,3.660,99.580,0.420,47.67,384,1.000,bicubic -resnetrs200,96.340,3.660,99.550,0.450,93.21,320,1.000,bicubic -xcit_small_12_p16_384_dist,96.340,3.660,99.490,0.510,26.25,384,1.000,bicubic -regnetz_040h,96.330,3.670,99.520,0.480,28.94,320,1.000,bicubic +resnetrs200.tf_in1k,96.350,3.650,99.550,0.450,93.21,320,1.000,bicubic +resmlp_big_24_224.fb_in22k_ft_in1k,96.350,3.650,99.520,0.480,129.14,224,0.875,bicubic +xcit_small_24_p16_384.fb_dist_in1k,96.340,3.660,99.580,0.420,47.67,384,1.000,bicubic +convnextv2_tiny.fcmae_ft_in22k_in1k,96.340,3.660,99.550,0.450,28.64,288,1.000,bicubic +xcit_small_12_p16_384.fb_dist_in1k,96.340,3.660,99.490,0.510,26.25,384,1.000,bicubic +maxvit_base_tf_224.in1k,96.340,3.660,99.370,0.630,119.47,224,0.950,bicubic +maxvit_large_tf_224.in1k,96.330,3.670,99.410,0.590,211.79,224,0.950,bicubic vit_base_patch16_clip_224.laion2b_ft_in1k,96.320,3.680,99.540,0.460,86.57,224,1.000,bicubic -xcit_large_24_p16_224_dist,96.320,3.680,99.500,0.500,189.10,224,1.000,bicubic -maxvit_large_tf_224.in1k,96.320,3.680,99.410,0.590,211.79,224,0.950,bicubic -vit_base_patch16_clip_224.openai_ft_in1k,96.310,3.690,99.550,0.450,86.57,224,0.900,bicubic -seresnet152d,96.310,3.690,99.510,0.490,66.84,320,1.000,bicubic +regnetz_040_h.ra3_in1k,96.320,3.680,99.520,0.480,28.94,320,1.000,bicubic +xcit_large_24_p16_224.fb_dist_in1k,96.320,3.680,99.500,0.500,189.10,224,1.000,bicubic +vit_base_patch16_clip_224.openai_ft_in1k,96.310,3.690,99.560,0.440,86.57,224,0.900,bicubic +seresnet152d.ra2_in1k,96.310,3.690,99.510,0.490,66.84,320,1.000,bicubic convnext_base.fb_in1k,96.310,3.690,99.500,0.500,88.59,288,1.000,bicubic +regnety_1280.seer_ft_in1k,96.310,3.690,99.410,0.590,644.81,384,1.000,bicubic vit_base_patch16_224.augreg_in21k_ft_in1k,96.300,3.700,99.560,0.440,86.57,224,0.900,bicubic -tf_efficientnet_b6.aa_in1k,96.290,3.710,99.520,0.480,43.04,528,0.942,bicubic -resnetv2_50x3_bitm,96.270,3.730,99.630,0.370,217.32,448,1.000,bilinear +dm_nfnet_f1.dm_in1k,96.300,3.700,99.530,0.470,132.63,320,0.910,bicubic +tf_efficientnet_b6.aa_in1k,96.300,3.700,99.530,0.470,43.04,528,0.942,bicubic +resnetv2_50x3_bit.goog_in21k_ft_in1k,96.270,3.730,99.630,0.370,217.32,448,1.000,bilinear efficientnetv2_rw_m.agc_in1k,96.270,3.730,99.560,0.440,53.24,416,1.000,bicubic -swsl_resnext101_32x16d,96.270,3.730,99.500,0.500,194.03,224,0.875,bilinear -xcit_medium_24_p16_224_dist,96.260,3.740,99.410,0.590,84.40,224,1.000,bicubic -resnetv2_101x3_bitm,96.250,3.750,99.590,0.410,387.93,448,1.000,bilinear -swsl_resnext101_32x8d,96.240,3.760,99.590,0.410,88.79,224,0.875,bilinear -resnetrs350,96.240,3.760,99.470,0.530,163.96,384,1.000,bicubic -xcit_tiny_24_p8_384_dist,96.240,3.760,99.440,0.560,12.11,384,1.000,bicubic -deit3_base_patch16_384,96.230,3.770,99.400,0.600,86.88,384,1.000,bicubic -regnetz_d8_evos,96.220,3.780,99.490,0.510,23.46,320,0.950,bicubic -maxxvit_rmlp_small_rw_256,96.210,3.790,99.480,0.520,66.01,256,0.950,bicubic -maxvit_small_tf_224.in1k,96.210,3.790,99.460,0.540,68.93,224,0.950,bicubic -coatnet_rmlp_2_rw_224,96.200,3.800,99.280,0.720,73.88,224,0.950,bicubic -vit_base_patch16_384.orig_in21k_ft_in1k,96.190,3.810,99.530,0.470,86.86,384,1.000,bicubic -resnetv2_152x2_bit_teacher_384,96.190,3.810,99.500,0.500,236.34,384,1.000,bicubic -deit3_large_patch16_224,96.190,3.810,99.300,0.700,304.37,224,0.900,bicubic +resnext101_32x16d.fb_swsl_ig1b_ft_in1k,96.270,3.730,99.500,0.500,194.03,224,0.875,bilinear +resnext101_32x8d.fb_swsl_ig1b_ft_in1k,96.250,3.750,99.590,0.410,88.79,224,0.875,bilinear +resnetv2_101x3_bit.goog_in21k_ft_in1k,96.250,3.750,99.580,0.420,387.93,448,1.000,bilinear +convformer_s18.sail_in1k_384,96.250,3.750,99.540,0.460,26.77,384,1.000,bicubic +resnetrs350.tf_in1k,96.250,3.750,99.470,0.530,163.96,384,1.000,bicubic +xcit_medium_24_p16_224.fb_dist_in1k,96.250,3.750,99.410,0.590,84.40,224,1.000,bicubic +convnext_tiny.in12k_ft_in1k,96.240,3.760,99.640,0.360,28.59,288,1.000,bicubic +davit_base.msft_in1k,96.240,3.760,99.410,0.590,87.95,224,0.950,bicubic +convformer_b36.sail_in1k,96.240,3.760,99.290,0.710,99.88,224,1.000,bicubic +xcit_tiny_24_p8_384.fb_dist_in1k,96.230,3.770,99.440,0.560,12.11,384,1.000,bicubic +deit3_base_patch16_384.fb_in1k,96.230,3.770,99.400,0.600,86.88,384,1.000,bicubic +maxxvit_rmlp_small_rw_256.sw_in1k,96.210,3.790,99.480,0.520,66.01,256,0.950,bicubic +coatnet_rmlp_2_rw_224.sw_in1k,96.210,3.790,99.280,0.720,73.88,224,0.950,bicubic +vit_base_patch16_384.orig_in21k_ft_in1k,96.200,3.800,99.530,0.470,86.86,384,1.000,bicubic +edgenext_base.in21k_ft_in1k,96.200,3.800,99.470,0.530,18.51,320,1.000,bicubic +maxvit_small_tf_224.in1k,96.200,3.800,99.460,0.540,68.93,224,0.950,bicubic +resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384,96.190,3.810,99.500,0.500,236.34,384,1.000,bicubic +deit3_large_patch16_224.fb_in1k,96.190,3.810,99.300,0.700,304.37,224,0.900,bicubic vit_large_r50_s32_224.augreg_in21k_ft_in1k,96.180,3.820,99.530,0.470,328.99,224,0.900,bicubic -regnetz_040,96.180,3.820,99.510,0.490,27.12,320,1.000,bicubic -swinv2_base_window16_256,96.180,3.820,99.400,0.600,87.92,256,0.900,bicubic +regnetz_040.ra3_in1k,96.180,3.820,99.510,0.490,27.12,320,1.000,bicubic convnext_tiny.fb_in22k_ft_in1k_384,96.170,3.830,99.500,0.500,28.59,384,1.000,bicubic -deit3_medium_patch16_224_in21ft1k,96.140,3.860,99.490,0.510,38.85,224,1.000,bicubic -crossvit_18_dagger_408,96.130,3.870,99.470,0.530,44.61,408,1.000,bicubic -resnest269e,96.120,3.880,99.520,0.480,110.93,416,0.928,bicubic -seresnext101_32x8d,96.120,3.880,99.360,0.640,93.57,288,1.000,bicubic -resnet200d,96.110,3.890,99.460,0.540,64.69,320,1.000,bicubic -flexivit_base.1200ep_in1k,96.110,3.890,99.400,0.600,86.59,240,0.950,bicubic +swinv2_base_window16_256.ms_in1k,96.170,3.830,99.390,0.610,87.92,256,0.900,bicubic +crossvit_18_dagger_408.in1k,96.150,3.850,99.470,0.530,44.61,408,1.000,bicubic +regnetz_d8_evos.ch_in1k,96.140,3.860,99.490,0.510,23.46,320,1.000,bicubic +deit3_medium_patch16_224.fb_in22k_ft_in1k,96.140,3.860,99.480,0.520,38.85,224,1.000,bicubic +seresnext101_32x8d.ah_in1k,96.140,3.860,99.360,0.640,93.57,288,1.000,bicubic +coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k,96.130,3.870,99.340,0.660,41.72,224,0.950,bicubic +resnest269e.in1k,96.110,3.890,99.520,0.480,110.93,416,0.928,bicubic +resnet200d.ra2_in1k,96.110,3.890,99.460,0.540,64.69,320,1.000,bicubic +flexivit_base.1200ep_in1k,96.110,3.890,99.410,0.590,86.59,240,0.950,bicubic +convformer_s36.sail_in1k,96.110,3.890,99.310,0.690,40.01,224,1.000,bicubic +convformer_s18.sail_in22k_ft_in1k,96.100,3.900,99.490,0.510,26.77,224,1.000,bicubic tf_efficientnet_b3.ns_jft_in1k,96.100,3.900,99.480,0.520,12.23,300,0.904,bicubic -tf_efficientnet_b5.ap_in1k,96.080,3.920,99.540,0.460,30.39,456,0.934,bicubic -xcit_large_24_p8_224,96.080,3.920,99.150,0.850,188.93,224,1.000,bicubic -resnest200e,96.070,3.930,99.480,0.520,70.20,320,0.909,bicubic -swinv2_base_window8_256,96.070,3.930,99.420,0.580,87.92,256,0.900,bicubic -pit_b_distilled_224,96.070,3.930,99.380,0.620,74.79,224,0.900,bicubic -swinv2_small_window16_256,96.070,3.930,99.340,0.660,49.73,256,0.900,bicubic -vit_small_r26_s32_384.augreg_in21k_ft_in1k,96.060,3.940,99.560,0.440,36.47,384,1.000,bicubic -resnetrs270,96.060,3.940,99.490,0.510,129.86,352,1.000,bicubic -gcvit_base,96.060,3.940,99.380,0.620,90.32,224,0.875,bicubic -swsl_resnext101_32x4d,96.050,3.950,99.530,0.470,44.18,224,0.875,bilinear -maxvit_rmlp_tiny_rw_256,96.040,3.960,99.410,0.590,29.15,256,0.950,bicubic -swin_s3_base_224,96.040,3.960,99.350,0.650,71.13,224,0.900,bicubic -volo_d1_224,96.030,3.970,99.390,0.610,26.63,224,0.960,bicubic -vit_base_patch16_224_miil.in21k_ft_in1k,96.030,3.970,99.350,0.650,86.54,224,0.875,bilinear -regnetz_d8,96.010,3.990,99.520,0.480,23.37,320,1.000,bicubic -cs3se_edgenet_x,96.010,3.990,99.440,0.560,50.72,320,1.000,bicubic -cait_xs24_384,96.010,3.990,99.430,0.570,26.67,384,1.000,bicubic -mvitv2_base,96.010,3.990,99.330,0.670,51.47,224,0.900,bicubic +rexnetr_300.sw_in12k_ft_in1k,96.090,3.910,99.540,0.460,34.81,288,1.000,bicubic +tf_efficientnet_b5.ap_in1k,96.090,3.910,99.540,0.460,30.39,456,0.934,bicubic +xcit_large_24_p8_224.fb_in1k,96.090,3.910,99.140,0.860,188.93,224,1.000,bicubic +caformer_s36.sail_in1k,96.080,3.920,99.510,0.490,39.30,224,1.000,bicubic +gcvit_base.in1k,96.080,3.920,99.390,0.610,90.32,224,0.875,bicubic +convformer_m36.sail_in1k,96.080,3.920,99.250,0.750,57.05,224,1.000,bicubic +resnest200e.in1k,96.070,3.930,99.480,0.520,70.20,320,0.909,bicubic +tf_efficientnet_b7.aa_in1k,96.070,3.930,99.450,0.550,66.35,600,0.949,bicubic +swinv2_small_window16_256.ms_in1k,96.070,3.930,99.340,0.660,49.73,256,0.900,bicubic +regnety_640.seer_ft_in1k,96.060,3.940,99.500,0.500,281.38,384,1.000,bicubic +resnetrs270.tf_in1k,96.060,3.940,99.480,0.520,129.86,352,1.000,bicubic +swin_small_patch4_window7_224.ms_in22k_ft_in1k,96.060,3.940,99.480,0.520,49.61,224,0.900,bicubic +swinv2_base_window8_256.ms_in1k,96.060,3.940,99.410,0.590,87.92,256,0.900,bicubic +vit_small_r26_s32_384.augreg_in21k_ft_in1k,96.050,3.950,99.550,0.450,36.47,384,1.000,bicubic +resnext101_32x4d.fb_swsl_ig1b_ft_in1k,96.040,3.960,99.540,0.460,44.18,224,0.875,bilinear +maxvit_rmlp_tiny_rw_256.sw_in1k,96.040,3.960,99.410,0.590,29.15,256,0.950,bicubic +swin_s3_base_224.ms_in1k,96.040,3.960,99.350,0.650,71.13,224,0.900,bicubic +vit_base_patch16_224_miil.in21k_ft_in1k,96.040,3.960,99.350,0.650,86.54,224,0.875,bilinear +davit_small.msft_in1k,96.030,3.970,99.400,0.600,49.75,224,0.950,bicubic +volo_d1_224.sail_in1k,96.030,3.970,99.390,0.610,26.63,224,0.960,bicubic +caformer_s18.sail_in22k_ft_in1k,96.010,3.990,99.550,0.450,26.34,224,1.000,bicubic +regnetz_d8.ra3_in1k,96.010,3.990,99.520,0.480,23.37,320,1.000,bicubic +vit_medium_patch16_gap_256.sw_in12k_ft_in1k,96.000,4.000,99.500,0.500,38.86,256,0.950,bicubic +cs3se_edgenet_x.c2ns_in1k,96.000,4.000,99.430,0.570,50.72,320,1.000,bicubic +cait_xs24_384.fb_dist_in1k,96.000,4.000,99.420,0.580,26.67,384,1.000,bicubic +coat_lite_medium.in1k,96.000,4.000,99.350,0.650,44.57,224,0.900,bicubic vit_small_patch16_384.augreg_in21k_ft_in1k,95.980,4.020,99.590,0.410,22.20,384,1.000,bicubic -vit_medium_patch16_gap_256.in12k_ft_in1k,95.980,4.020,99.500,0.500,38.86,256,0.950,bicubic -tf_efficientnet_b5.ra_in1k,95.980,4.020,99.450,0.550,30.39,456,0.934,bicubic -convnext_small.fb_in1k,95.980,4.020,99.430,0.570,50.22,288,1.000,bicubic -flexivit_base.300ep_in1k,95.970,4.030,99.370,0.630,86.59,240,0.950,bicubic +mvitv2_base.fb_in1k,95.980,4.020,99.330,0.670,51.47,224,0.900,bicubic +tf_efficientnet_b5.ra_in1k,95.970,4.030,99.450,0.550,30.39,456,0.934,bicubic +convnext_small.fb_in1k,95.970,4.030,99.430,0.570,50.22,288,1.000,bicubic +xcit_small_12_p8_224.fb_dist_in1k,95.960,4.040,99.430,0.570,26.21,224,1.000,bicubic flexivit_base.600ep_in1k,95.960,4.040,99.420,0.580,86.59,240,0.950,bicubic -xcit_small_12_p8_224_dist,95.960,4.040,99.420,0.580,26.21,224,1.000,bicubic -resnetrs152,95.960,4.040,99.380,0.620,86.62,320,1.000,bicubic -maxvit_rmlp_small_rw_224,95.960,4.040,99.350,0.650,64.90,224,0.900,bicubic -pvt_v2_b5,95.950,4.050,99.390,0.610,81.96,224,0.900,bicubic -eca_nfnet_l1,95.940,4.060,99.490,0.510,41.41,320,1.000,bicubic -ig_resnext101_32x8d,95.930,4.070,99.380,0.620,88.79,224,0.875,bilinear -gcvit_small,95.930,4.070,99.280,0.720,51.09,224,0.875,bicubic +resnetrs152.tf_in1k,95.960,4.040,99.380,0.620,86.62,320,1.000,bicubic +flexivit_base.300ep_in1k,95.960,4.040,99.370,0.630,86.59,240,0.950,bicubic +maxvit_rmlp_small_rw_224.sw_in1k,95.960,4.040,99.350,0.650,64.90,224,0.900,bicubic +pvt_v2_b5.in1k,95.940,4.060,99.390,0.610,81.96,224,0.900,bicubic +resnext101_32x8d.fb_wsl_ig1b_ft_in1k,95.940,4.060,99.380,0.620,88.79,224,0.875,bilinear +eca_nfnet_l1.ra2_in1k,95.930,4.070,99.490,0.510,41.41,320,1.000,bicubic +pvt_v2_b4.in1k,95.920,4.080,99.360,0.640,62.56,224,0.900,bicubic +gcvit_small.in1k,95.910,4.090,99.280,0.720,51.09,224,0.875,bicubic vit_base_patch32_384.augreg_in21k_ft_in1k,95.900,4.100,99.440,0.560,88.30,384,1.000,bicubic -pvt_v2_b4,95.900,4.100,99.350,0.650,62.56,224,0.900,bicubic -xcit_small_24_p8_224,95.900,4.100,99.180,0.820,47.63,224,1.000,bicubic -mvitv2_small,95.890,4.110,99.360,0.640,34.87,224,0.900,bicubic -regnety_160,95.880,4.120,99.560,0.440,83.59,288,1.000,bicubic -sequencer2d_l,95.880,4.120,99.470,0.530,54.30,224,0.875,bicubic -resmlp_big_24_distilled_224,95.870,4.130,99.440,0.560,129.14,224,0.875,bicubic -resnet152d,95.870,4.130,99.430,0.570,60.21,320,1.000,bicubic -xcit_medium_24_p8_224,95.870,4.130,99.080,0.920,84.32,224,1.000,bicubic -regnety_080,95.860,4.140,99.440,0.560,39.18,288,1.000,bicubic -regnetz_d32,95.860,4.140,99.430,0.570,27.58,320,0.950,bicubic -swin_s3_small_224,95.840,4.160,99.200,0.800,49.74,224,0.900,bicubic -deit3_small_patch16_224_in21ft1k,95.820,4.180,99.410,0.590,22.06,224,1.000,bicubic -crossvit_15_dagger_408,95.820,4.180,99.310,0.690,28.50,408,1.000,bicubic -tresnet_v2_l,95.820,4.180,99.290,0.710,46.17,224,0.875,bilinear +focalnet_base_srf.ms_in1k,95.900,4.100,99.340,0.660,88.15,224,0.900,bicubic +swin_base_patch4_window7_224.ms_in1k,95.900,4.100,99.310,0.690,87.77,224,0.900,bicubic +xcit_small_24_p8_224.fb_in1k,95.900,4.100,99.180,0.820,47.63,224,1.000,bicubic +mvitv2_small.fb_in1k,95.890,4.110,99.360,0.640,34.87,224,0.900,bicubic +tf_efficientnet_b5.aa_in1k,95.880,4.120,99.350,0.650,30.39,456,0.934,bicubic +regnety_160.deit_in1k,95.870,4.130,99.560,0.440,83.59,288,1.000,bicubic +sequencer2d_l.in1k,95.870,4.130,99.470,0.530,54.30,224,0.875,bicubic +regnety_080.ra3_in1k,95.870,4.130,99.440,0.560,39.18,288,1.000,bicubic +resmlp_big_24_224.fb_distilled_in1k,95.870,4.130,99.440,0.560,129.14,224,0.875,bicubic +regnetz_d32.ra3_in1k,95.870,4.130,99.430,0.570,27.58,320,0.950,bicubic +resnet152d.ra2_in1k,95.870,4.130,99.430,0.570,60.21,320,1.000,bicubic +tf_efficientnet_b5.in1k,95.870,4.130,99.390,0.610,30.39,456,0.934,bicubic +xcit_medium_24_p8_224.fb_in1k,95.860,4.140,99.080,0.920,84.32,224,1.000,bicubic +deit3_small_patch16_224.fb_in22k_ft_in1k,95.830,4.170,99.390,0.610,22.06,224,1.000,bicubic +convnextv2_tiny.fcmae_ft_in1k,95.830,4.170,99.340,0.660,28.64,288,1.000,bicubic +crossvit_15_dagger_408.in1k,95.830,4.170,99.320,0.680,28.50,408,1.000,bicubic +swin_s3_small_224.ms_in1k,95.830,4.170,99.200,0.800,49.74,224,0.900,bicubic +focalnet_base_lrf.ms_in1k,95.830,4.170,99.180,0.820,88.75,224,0.900,bicubic +resnext101_64x4d.tv_in1k,95.820,4.180,99.320,0.680,83.46,224,0.875,bilinear +tresnet_v2_l.miil_in21k_ft_in1k,95.820,4.180,99.290,0.710,46.17,224,0.875,bilinear +pit_b_distilled_224.in1k,95.820,4.180,99.210,0.790,74.79,224,0.900,bicubic maxvit_tiny_tf_224.in1k,95.810,4.190,99.260,0.740,30.92,224,0.950,bicubic -xcit_small_24_p16_224_dist,95.800,4.200,99.340,0.660,47.67,224,1.000,bicubic -edgenext_base,95.790,4.210,99.570,0.430,18.51,320,1.000,bicubic -regnety_064,95.790,4.210,99.290,0.710,30.58,288,1.000,bicubic -deit3_base_patch16_224,95.780,4.220,99.270,0.730,86.59,224,0.900,bicubic -regnetv_064,95.770,4.230,99.420,0.580,30.58,288,1.000,bicubic -resnet101d,95.750,4.250,99.440,0.560,44.57,320,1.000,bicubic -resnetv2_152x2_bit_teacher,95.750,4.250,99.430,0.570,236.34,224,0.875,bicubic -deit_base_distilled_patch16_224,95.750,4.250,99.280,0.720,87.34,224,0.900,bicubic -xcit_small_12_p16_224_dist,95.740,4.260,99.310,0.690,26.25,224,1.000,bicubic -maxvit_tiny_rw_224,95.740,4.260,99.160,0.840,29.06,224,0.950,bicubic -regnetv_040,95.730,4.270,99.380,0.620,20.64,288,1.000,bicubic -swinv2_small_window8_256,95.730,4.270,99.360,0.640,49.73,256,0.900,bicubic -twins_pcpvt_large,95.720,4.280,99.490,0.510,60.99,224,0.900,bicubic -twins_svt_large,95.720,4.280,99.370,0.630,99.27,224,0.900,bicubic -swin_small_patch4_window7_224,95.720,4.280,99.290,0.710,49.61,224,0.900,bicubic +regnety_320.seer_ft_in1k,95.800,4.200,99.390,0.610,145.05,384,1.000,bicubic +edgenext_base.usi_in1k,95.790,4.210,99.570,0.430,18.51,320,1.000,bicubic +xcit_small_24_p16_224.fb_dist_in1k,95.790,4.210,99.350,0.650,47.67,224,1.000,bicubic +convnextv2_nano.fcmae_ft_in22k_in1k_384,95.790,4.210,99.300,0.700,15.62,384,1.000,bicubic +regnety_064.ra3_in1k,95.790,4.210,99.290,0.710,30.58,288,1.000,bicubic +regnetv_064.ra3_in1k,95.780,4.220,99.420,0.580,30.58,288,1.000,bicubic +deit3_base_patch16_224.fb_in1k,95.770,4.230,99.270,0.730,86.59,224,0.900,bicubic +efficientformerv2_l.snap_dist_in1k,95.760,4.240,99.370,0.630,26.32,224,0.950,bicubic +resnet152.a1h_in1k,95.750,4.250,99.430,0.570,60.19,288,1.000,bicubic +resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k,95.750,4.250,99.430,0.570,236.34,224,0.875,bicubic +deit_base_distilled_patch16_224.fb_in1k,95.750,4.250,99.280,0.720,87.34,224,0.900,bicubic +resnet101d.ra2_in1k,95.740,4.260,99.440,0.560,44.57,320,1.000,bicubic +focalnet_small_lrf.ms_in1k,95.740,4.260,99.210,0.790,50.34,224,0.900,bicubic +maxvit_tiny_rw_224.sw_in1k,95.740,4.260,99.160,0.840,29.06,224,0.950,bicubic +regnetv_040.ra3_in1k,95.730,4.270,99.380,0.620,20.64,288,1.000,bicubic +swinv2_small_window8_256.ms_in1k,95.730,4.270,99.360,0.640,49.73,256,0.900,bicubic +xcit_small_12_p16_224.fb_dist_in1k,95.730,4.270,99.300,0.700,26.25,224,1.000,bicubic +twins_pcpvt_large.in1k,95.720,4.280,99.490,0.510,60.99,224,0.900,bicubic tf_efficientnetv2_s.in1k,95.710,4.290,99.400,0.600,21.46,384,1.000,bicubic efficientnetv2_rw_s.ra2_in1k,95.710,4.290,99.380,0.620,23.94,384,1.000,bicubic -dm_nfnet_f0,95.690,4.310,99.330,0.670,71.49,256,0.900,bicubic -swinv2_cr_small_ns_224,95.690,4.310,99.310,0.690,49.70,224,0.900,bicubic -xception65,95.690,4.310,99.310,0.690,39.92,299,0.940,bicubic -gcvit_tiny,95.680,4.320,99.340,0.660,28.22,224,0.875,bicubic -xception65p,95.660,4.340,99.270,0.730,39.82,299,0.940,bicubic -cait_s24_224,95.650,4.350,99.390,0.610,46.92,224,1.000,bicubic -deit_base_patch16_384,95.650,4.350,99.240,0.760,86.86,384,1.000,bicubic -swsl_resnext50_32x4d,95.620,4.380,99.440,0.560,25.03,224,0.875,bilinear -regnetz_c16_evos,95.620,4.380,99.420,0.580,13.49,320,0.950,bicubic -coatnet_1_rw_224,95.620,4.380,99.220,0.780,41.72,224,0.950,bicubic -efficientformer_l7,95.600,4.400,99.440,0.560,82.23,224,0.950,bicubic -deit3_small_patch16_384,95.600,4.400,99.390,0.610,22.21,384,1.000,bicubic +hrnet_w18_ssld.paddle_in1k,95.710,4.290,99.340,0.660,21.30,288,1.000,bilinear +swin_small_patch4_window7_224.ms_in1k,95.710,4.290,99.290,0.710,49.61,224,0.900,bicubic +swinv2_cr_small_ns_224.sw_in1k,95.710,4.290,99.290,0.710,49.70,224,0.900,bicubic +twins_svt_large.in1k,95.700,4.300,99.370,0.630,99.27,224,0.900,bicubic +dm_nfnet_f0.dm_in1k,95.690,4.310,99.350,0.650,71.49,256,0.900,bicubic +xception65.ra3_in1k,95.690,4.310,99.320,0.680,39.92,299,0.940,bicubic +caformer_s18.sail_in1k,95.680,4.320,99.290,0.710,26.34,224,1.000,bicubic +cait_s24_224.fb_dist_in1k,95.660,4.340,99.390,0.610,46.92,224,1.000,bicubic +gcvit_tiny.in1k,95.660,4.340,99.330,0.670,28.22,224,0.875,bicubic +xception65p.ra3_in1k,95.660,4.340,99.270,0.730,39.82,299,0.940,bicubic +regnetz_c16_evos.ch_in1k,95.640,4.360,99.420,0.580,13.49,320,0.950,bicubic +deit_base_patch16_384.fb_in1k,95.640,4.360,99.240,0.760,86.86,384,1.000,bicubic +resnext50_32x4d.fb_swsl_ig1b_ft_in1k,95.630,4.370,99.440,0.560,25.03,224,0.875,bilinear +ecaresnet101d.miil_in1k,95.630,4.370,99.410,0.590,44.57,288,0.950,bicubic +focalnet_small_srf.ms_in1k,95.630,4.370,99.290,0.710,49.89,224,0.900,bicubic +coatnet_1_rw_224.sw_in1k,95.610,4.390,99.220,0.780,41.72,224,0.950,bicubic +efficientformer_l7.snap_dist_in1k,95.600,4.400,99.440,0.560,82.23,224,0.950,bicubic +deit3_small_patch16_384.fb_in1k,95.600,4.400,99.390,0.610,22.21,384,1.000,bicubic +tf_efficientnetv2_b3.in21k_ft_in1k,95.600,4.400,99.280,0.720,14.36,300,0.900,bicubic tf_efficientnet_b4.aa_in1k,95.590,4.410,99.330,0.670,19.34,380,0.922,bicubic -sequencer2d_m,95.590,4.410,99.280,0.720,38.31,224,0.875,bicubic -tf_efficientnetv2_b3.in21k_ft_in1k,95.590,4.410,99.280,0.720,14.36,300,0.900,bicubic -resnest101e,95.570,4.430,99.270,0.730,48.28,256,0.875,bilinear -twins_svt_base,95.570,4.430,99.230,0.770,56.07,224,0.900,bicubic -resnet152,95.550,4.450,99.270,0.730,60.19,224,0.950,bicubic -jx_nest_base,95.540,4.460,99.300,0.700,67.72,224,0.875,bicubic -resnext101_64x4d,95.540,4.460,99.290,0.710,83.46,288,1.000,bicubic -jx_nest_small,95.530,4.470,99.210,0.790,38.35,224,0.875,bicubic -efficientnet_b4.ra2_in1k,95.520,4.480,99.390,0.610,19.34,384,1.000,bicubic +sequencer2d_m.in1k,95.580,4.420,99.270,0.730,38.31,224,0.875,bicubic +resnet101.a1h_in1k,95.580,4.420,99.250,0.750,44.55,288,1.000,bicubic +resnetv2_101.a1h_in1k,95.570,4.430,99.370,0.630,44.54,288,1.000,bicubic +resnest101e.in1k,95.570,4.430,99.270,0.730,48.28,256,0.875,bilinear +regnety_320.tv2_in1k,95.560,4.440,99.390,0.610,145.05,224,0.965,bicubic +twins_svt_base.in1k,95.560,4.440,99.230,0.770,56.07,224,0.900,bicubic +rexnet_300.nav_in1k,95.540,4.460,99.320,0.680,34.71,224,0.875,bicubic +nest_base_jx.goog_in1k,95.540,4.460,99.290,0.710,67.72,224,0.875,bicubic +nest_small_jx.goog_in1k,95.540,4.460,99.220,0.780,38.35,224,0.875,bicubic +efficientnet_b4.ra2_in1k,95.530,4.470,99.400,0.600,19.34,384,1.000,bicubic +resnext101_64x4d.c1_in1k,95.530,4.470,99.290,0.710,83.46,288,1.000,bicubic tf_efficientnet_b2.ns_jft_in1k,95.520,4.480,99.340,0.660,9.11,260,0.890,bicubic -tresnet_xl_448,95.510,4.490,99.340,0.660,78.44,448,0.875,bilinear +tresnet_xl.miil_in1k_448,95.510,4.490,99.340,0.660,78.44,448,0.875,bilinear +coatnet_rmlp_1_rw_224.sw_in1k,95.500,4.500,99.250,0.750,41.69,224,0.950,bicubic +regnety_040.ra3_in1k,95.490,4.510,99.420,0.580,20.65,288,1.000,bicubic tf_efficientnet_b4.ap_in1k,95.490,4.510,99.390,0.610,19.34,380,0.922,bicubic -xcit_tiny_24_p16_384_dist,95.490,4.510,99.360,0.640,12.12,384,1.000,bicubic -coatnet_rmlp_1_rw_224,95.490,4.510,99.240,0.760,41.69,224,0.950,bicubic -maxvit_nano_rw_256,95.490,4.510,99.130,0.870,15.45,256,0.950,bicubic -regnety_040,95.480,4.520,99.420,0.580,20.65,288,1.000,bicubic -regnety_032,95.470,4.530,99.320,0.680,19.44,288,1.000,bicubic -pvt_v2_b3,95.470,4.530,99.310,0.690,45.24,224,0.900,bicubic -sequencer2d_s,95.470,4.530,99.270,0.730,27.65,224,0.875,bicubic -twins_pcpvt_base,95.460,4.540,99.390,0.610,43.83,224,0.900,bicubic -eca_nfnet_l0,95.450,4.550,99.390,0.610,24.14,288,1.000,bicubic -xcit_tiny_24_p8_224_dist,95.450,4.550,99.360,0.640,12.11,224,1.000,bicubic -cs3edgenet_x,95.450,4.550,99.280,0.720,47.82,288,1.000,bicubic -maxvit_rmlp_nano_rw_256,95.440,4.560,99.060,0.940,15.50,256,0.950,bicubic -xcit_small_12_p8_224,95.420,4.580,99.200,0.800,26.21,224,1.000,bicubic -ssl_resnext101_32x16d,95.410,4.590,99.410,0.590,194.03,224,0.875,bilinear -tresnet_l_448,95.410,4.590,99.300,0.700,55.99,448,0.875,bilinear -mvitv2_tiny,95.410,4.590,99.160,0.840,24.17,224,0.900,bicubic -swinv2_cr_small_224,95.410,4.590,99.060,0.940,49.70,224,0.900,bicubic -cs3sedarknet_x,95.400,4.600,99.320,0.680,35.40,288,1.000,bicubic -regnetz_c16,95.400,4.600,99.310,0.690,13.46,320,0.940,bicubic -resnetv2_50x1_bit_distilled,95.390,4.610,99.430,0.570,25.55,224,0.875,bicubic -nfnet_l0,95.390,4.610,99.420,0.580,35.07,288,1.000,bicubic -mobilevitv2_200_384_in22ft1k,95.390,4.610,99.280,0.720,18.45,384,1.000,bicubic -deit3_medium_patch16_224,95.390,4.610,99.210,0.790,38.85,224,0.900,bicubic -tresnet_m,95.380,4.620,99.150,0.850,31.39,224,0.875,bilinear -convnext_nano.in12k_ft_in1k,95.360,4.640,99.450,0.550,15.59,288,1.000,bicubic -swinv2_tiny_window16_256,95.360,4.640,99.300,0.700,28.35,256,0.900,bicubic -pnasnet5large,95.360,4.640,99.130,0.870,86.06,331,0.911,bicubic -maxxvit_rmlp_nano_rw_256,95.350,4.650,99.320,0.680,16.78,256,0.950,bicubic -xcit_tiny_12_p8_384_dist,95.340,4.660,99.340,0.660,6.71,384,1.000,bicubic -ssl_resnext101_32x8d,95.340,4.660,99.320,0.680,88.79,224,0.875,bilinear -mobilevitv2_150_384_in22ft1k,95.330,4.670,99.130,0.870,10.59,384,1.000,bicubic -resnetv2_101x1_bitm,95.320,4.680,99.370,0.630,44.54,448,1.000,bilinear -vit_relpos_medium_patch16_cls_224.sw_in1k,95.300,4.700,99.090,0.910,38.76,224,0.900,bicubic -cs3darknet_x,95.280,4.720,99.280,0.720,35.05,288,1.000,bicubic -gc_efficientnetv2_rw_t.agc_in1k,95.280,4.720,99.220,0.780,13.68,288,1.000,bicubic -flexivit_small.600ep_in1k,95.270,4.730,99.160,0.840,22.06,240,0.950,bicubic -convnext_tiny_hnf.a2h_in1k,95.270,4.730,98.980,1.020,28.59,288,1.000,bicubic -mobilevitv2_175_384_in22ft1k,95.260,4.740,99.380,0.620,14.25,384,1.000,bicubic -resnetrs101,95.250,4.750,99.210,0.790,63.62,288,0.940,bicubic +xcit_tiny_24_p16_384.fb_dist_in1k,95.490,4.510,99.360,0.640,12.12,384,1.000,bicubic +tf_efficientnet_b4.in1k,95.480,4.520,99.270,0.730,19.34,380,0.922,bicubic +twins_pcpvt_base.in1k,95.470,4.530,99.390,0.610,43.83,224,0.900,bicubic +pvt_v2_b3.in1k,95.470,4.530,99.310,0.690,45.24,224,0.900,bicubic +maxvit_nano_rw_256.sw_in1k,95.470,4.530,99.120,0.880,15.45,256,0.950,bicubic +eca_nfnet_l0.ra2_in1k,95.460,4.540,99.390,0.610,24.14,288,1.000,bicubic +regnety_032.ra_in1k,95.460,4.540,99.320,0.680,19.44,288,1.000,bicubic +cs3edgenet_x.c2_in1k,95.460,4.540,99.280,0.720,47.82,288,1.000,bicubic +sequencer2d_s.in1k,95.460,4.540,99.260,0.740,27.65,224,0.875,bicubic +xcit_tiny_24_p8_224.fb_dist_in1k,95.450,4.550,99.360,0.640,12.11,224,1.000,bicubic +maxvit_rmlp_nano_rw_256.sw_in1k,95.440,4.560,99.060,0.940,15.50,256,0.950,bicubic +maxxvitv2_nano_rw_256.sw_in1k,95.430,4.570,99.190,0.810,23.70,256,0.950,bicubic +convnextv2_nano.fcmae_ft_in22k_in1k,95.420,4.580,99.310,0.690,15.62,288,1.000,bicubic +xcit_small_12_p8_224.fb_in1k,95.420,4.580,99.190,0.810,26.21,224,1.000,bicubic +resnetv2_50x1_bit.goog_distilled_in1k,95.410,4.590,99.430,0.570,25.55,224,0.875,bicubic +cs3sedarknet_x.c2ns_in1k,95.410,4.590,99.320,0.680,35.40,288,1.000,bicubic +swinv2_cr_small_224.sw_in1k,95.410,4.590,99.060,0.940,49.70,224,0.900,bicubic +resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k,95.400,4.600,99.400,0.600,194.03,224,0.875,bilinear +tresnet_l.miil_in1k_448,95.400,4.600,99.300,0.700,55.99,448,0.875,bilinear +mvitv2_tiny.fb_in1k,95.400,4.600,99.160,0.840,24.17,224,0.900,bicubic +mobilevitv2_200.cvnets_in22k_ft_in1k_384,95.390,4.610,99.280,0.720,18.45,384,1.000,bicubic +nfnet_l0.ra2_in1k,95.380,4.620,99.420,0.580,35.07,288,1.000,bicubic +regnetz_c16.ra3_in1k,95.380,4.620,99.350,0.650,13.46,320,1.000,bicubic +deit3_medium_patch16_224.fb_in1k,95.380,4.620,99.210,0.790,38.85,224,0.900,bicubic +tresnet_m.miil_in21k_ft_in1k,95.380,4.620,99.150,0.850,31.39,224,0.875,bilinear +pnasnet5large.tf_in1k,95.360,4.640,99.130,0.870,86.06,331,0.911,bicubic +convnext_nano.in12k_ft_in1k,95.350,4.650,99.450,0.550,15.59,288,1.000,bicubic +mobilevitv2_150.cvnets_in22k_ft_in1k_384,95.350,4.650,99.120,0.880,10.59,384,1.000,bicubic +xcit_tiny_12_p8_384.fb_dist_in1k,95.340,4.660,99.340,0.660,6.71,384,1.000,bicubic +maxxvit_rmlp_nano_rw_256.sw_in1k,95.340,4.660,99.310,0.690,16.78,256,0.950,bicubic +swinv2_tiny_window16_256.ms_in1k,95.330,4.670,99.300,0.700,28.35,256,0.900,bicubic +convformer_s18.sail_in1k,95.330,4.670,99.150,0.850,26.77,224,1.000,bicubic +resnetv2_101x1_bit.goog_in21k_ft_in1k,95.320,4.680,99.370,0.630,44.54,448,1.000,bilinear +resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k,95.320,4.680,99.320,0.680,88.79,224,0.875,bilinear +rexnetr_200.sw_in12k_ft_in1k,95.310,4.690,99.480,0.520,16.52,288,1.000,bicubic +resnext101_32x8d.tv2_in1k,95.300,4.700,99.360,0.640,88.79,224,0.965,bilinear +regnety_080_tv.tv2_in1k,95.300,4.700,99.230,0.770,39.38,224,0.965,bicubic +vit_relpos_medium_patch16_cls_224.sw_in1k,95.300,4.700,99.100,0.900,38.76,224,0.900,bicubic +resnetaa50d.sw_in12k_ft_in1k,95.290,4.710,99.380,0.620,25.58,288,1.000,bicubic +gc_efficientnetv2_rw_t.agc_in1k,95.290,4.710,99.220,0.780,13.68,288,1.000,bicubic +cs3darknet_x.c2ns_in1k,95.280,4.720,99.290,0.710,35.05,288,1.000,bicubic +regnetx_320.tv2_in1k,95.280,4.720,99.290,0.710,107.81,224,0.965,bicubic +mobilevitv2_175.cvnets_in22k_ft_in1k_384,95.260,4.740,99.380,0.620,14.25,384,1.000,bicubic +flexivit_small.600ep_in1k,95.260,4.740,99.160,0.840,22.06,240,0.950,bicubic +resnetrs101.tf_in1k,95.250,4.750,99.210,0.790,63.62,288,0.940,bicubic vit_relpos_base_patch16_clsgap_224.sw_in1k,95.250,4.750,99.200,0.800,86.43,224,0.900,bicubic +convnext_tiny_hnf.a2h_in1k,95.250,4.750,98.980,1.020,28.59,288,1.000,bicubic +cait_xxs36_384.fb_dist_in1k,95.240,4.760,99.320,0.680,17.37,384,1.000,bicubic vit_large_patch32_384.orig_in21k_ft_in1k,95.240,4.760,99.320,0.680,306.63,384,1.000,bicubic -vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,95.240,4.760,99.240,0.760,88.22,224,0.900,bicubic -cait_xxs36_384,95.220,4.780,99.320,0.680,17.37,384,1.000,bicubic -efficientformer_l3,95.210,4.790,99.310,0.690,31.41,224,0.950,bicubic -vit_base_patch16_224.orig_in21k_ft_in1k,95.210,4.790,99.230,0.770,86.57,224,0.900,bicubic -vit_relpos_medium_patch16_224.sw_in1k,95.210,4.790,99.220,0.780,38.75,224,0.900,bicubic -levit_384,95.210,4.790,99.160,0.840,39.13,224,0.900,bicubic -swsl_resnet50,95.200,4.800,99.390,0.610,25.56,224,0.875,bilinear -convnext_tiny.fb_in1k,95.200,4.800,99.330,0.670,28.59,288,1.000,bicubic -resnet51q,95.200,4.800,99.280,0.720,35.70,288,1.000,bilinear -pvt_v2_b2_li,95.200,4.800,99.260,0.740,22.55,224,0.900,bicubic -flexivit_small.1200ep_in1k,95.200,4.800,99.170,0.830,22.06,240,0.950,bicubic -crossvit_18_dagger_240,95.180,4.820,99.120,0.880,44.27,240,0.875,bicubic -ssl_resnext101_32x4d,95.160,4.840,99.300,0.700,44.18,224,0.875,bilinear -ecaresnet101d,95.160,4.840,99.230,0.770,44.57,224,0.875,bicubic -vit_relpos_base_patch16_224.sw_in1k,95.150,4.850,99.300,0.700,86.43,224,0.900,bicubic -flexivit_small.300ep_in1k,95.150,4.850,99.160,0.840,22.06,240,0.950,bicubic -nasnetalarge,95.150,4.850,99.130,0.870,88.75,331,0.911,bicubic -efficientnet_b3.ra2_in1k,95.140,4.860,99.210,0.790,12.23,320,1.000,bicubic -resnetv2_50d_evos,95.130,4.870,99.230,0.770,25.59,288,0.950,bicubic +wide_resnet101_2.tv2_in1k,95.240,4.760,99.200,0.800,126.89,224,0.965,bilinear +vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,95.230,4.770,99.240,0.760,88.22,224,0.900,bicubic +pvt_v2_b2_li.in1k,95.220,4.780,99.260,0.740,22.55,224,0.900,bicubic +resnetv2_50d_gn.ah_in1k,95.220,4.780,99.030,0.970,25.57,288,1.000,bicubic +convnext_tiny.fb_in1k,95.210,4.790,99.310,0.690,28.59,288,1.000,bicubic +efficientformer_l3.snap_dist_in1k,95.210,4.790,99.310,0.690,31.41,224,0.950,bicubic +regnetx_160.tv2_in1k,95.210,4.790,99.280,0.720,54.28,224,0.965,bicubic +levit_384.fb_dist_in1k,95.210,4.790,99.160,0.840,39.13,224,0.900,bicubic +levit_conv_384.fb_dist_in1k,95.210,4.790,99.160,0.840,39.13,224,0.900,bicubic +resnet50.fb_swsl_ig1b_ft_in1k,95.200,4.800,99.390,0.610,25.56,224,0.875,bilinear +resnet51q.ra2_in1k,95.200,4.800,99.280,0.720,35.70,288,1.000,bilinear +vit_base_patch16_224.orig_in21k_ft_in1k,95.200,4.800,99.230,0.770,86.57,224,0.900,bicubic +coat_small.in1k,95.190,4.810,99.280,0.720,21.69,224,0.900,bicubic +focalnet_tiny_lrf.ms_in1k,95.190,4.810,99.220,0.780,28.65,224,0.900,bicubic +vit_relpos_medium_patch16_224.sw_in1k,95.190,4.810,99.220,0.780,38.75,224,0.900,bicubic +flexivit_small.1200ep_in1k,95.180,4.820,99.180,0.820,22.06,240,0.950,bicubic +poolformerv2_m48.sail_in1k,95.180,4.820,99.160,0.840,73.35,224,1.000,bicubic +crossvit_18_dagger_240.in1k,95.180,4.820,99.120,0.880,44.27,240,0.875,bicubic +regnety_160.tv2_in1k,95.160,4.840,99.250,0.750,83.59,224,0.965,bicubic +efficientnet_b3.ra2_in1k,95.150,4.850,99.210,0.790,12.23,320,1.000,bicubic +flexivit_small.300ep_in1k,95.150,4.850,99.150,0.850,22.06,240,0.950,bicubic +nasnetalarge.tf_in1k,95.150,4.850,99.130,0.870,88.75,331,0.911,bicubic +resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k,95.140,4.860,99.300,0.700,44.18,224,0.875,bilinear +convnextv2_nano.fcmae_ft_in1k,95.140,4.860,99.220,0.780,15.62,288,1.000,bicubic +vit_relpos_base_patch16_224.sw_in1k,95.130,4.870,99.290,0.710,86.43,224,0.900,bicubic +wide_resnet50_2.racm_in1k,95.130,4.870,99.260,0.740,68.88,288,0.950,bicubic vit_small_r26_s32_224.augreg_in21k_ft_in1k,95.130,4.870,99.220,0.780,36.43,224,0.900,bicubic -fbnetv3_g.ra2_in1k,95.130,4.870,99.200,0.800,16.62,288,0.950,bilinear -poolformer_m48,95.130,4.870,99.120,0.880,73.47,224,0.950,bicubic -xcit_medium_24_p16_224,95.130,4.870,98.920,1.080,84.40,224,1.000,bicubic +resnet61q.ra2_in1k,95.130,4.870,99.080,0.920,36.85,288,1.000,bicubic +xcit_medium_24_p16_224.fb_in1k,95.130,4.870,98.940,1.060,84.40,224,1.000,bicubic +fbnetv3_g.ra2_in1k,95.120,4.880,99.200,0.800,16.62,288,0.950,bilinear tf_efficientnetv2_b3.in1k,95.120,4.880,99.200,0.800,14.36,300,0.904,bicubic -resnet61q,95.120,4.880,99.080,0.920,36.85,288,1.000,bicubic -cs3sedarknet_l,95.110,4.890,99.210,0.790,21.91,288,0.950,bicubic -convit_base,95.100,4.900,99.140,0.860,86.54,224,0.875,bicubic -resnetv2_50d_gn,95.100,4.900,99.060,0.940,25.57,288,0.950,bicubic -coatnet_rmlp_nano_rw_224,95.090,4.910,99.170,0.830,15.15,224,0.900,bicubic -xcit_small_24_p16_224,95.080,4.920,99.060,0.940,47.67,224,1.000,bicubic -coat_lite_small,95.080,4.920,99.020,0.980,19.84,224,0.900,bicubic -ecaresnet50t,95.070,4.930,99.290,0.710,25.57,320,0.950,bicubic -efficientnetv2_rw_t.ra2_in1k,95.070,4.930,99.220,0.780,13.65,288,1.000,bicubic -vit_relpos_medium_patch16_rpn_224.sw_in1k,95.070,4.930,99.200,0.800,38.73,224,0.900,bicubic -xception41p,95.070,4.930,99.150,0.850,26.91,299,0.940,bicubic -crossvit_18_240,95.070,4.930,99.120,0.880,43.27,240,0.875,bicubic -crossvit_base_240,95.070,4.930,98.980,1.020,105.03,240,0.875,bicubic -tresnet_xl,95.060,4.940,99.260,0.740,78.44,224,0.875,bilinear -coatnet_nano_rw_224,95.050,4.950,99.150,0.850,15.14,224,0.900,bicubic -mobilevitv2_200_in22ft1k,95.050,4.950,99.080,0.920,18.45,256,0.888,bicubic -swinv2_tiny_window8_256,95.030,4.970,99.170,0.830,28.35,256,0.900,bicubic -halo2botnet50ts_256,95.030,4.970,99.030,0.970,22.64,256,0.950,bicubic -gcvit_xtiny,95.010,4.990,99.180,0.820,19.98,224,0.875,bicubic -pvt_v2_b2,95.010,4.990,99.140,0.860,25.36,224,0.900,bicubic -poolformer_m36,95.010,4.990,99.100,0.900,56.17,224,0.950,bicubic -deit_base_patch16_224,95.010,4.990,98.980,1.020,86.57,224,0.900,bicubic -coatnet_bn_0_rw_224,94.980,5.020,99.230,0.770,27.44,224,0.950,bicubic -crossvit_15_dagger_240,94.980,5.020,99.160,0.840,28.21,240,0.875,bicubic -convmixer_1536_20,94.970,5.030,99.170,0.830,51.63,224,0.960,bicubic +efficientformerv2_s2.snap_dist_in1k,95.120,4.880,99.120,0.880,12.71,224,0.950,bicubic +cs3sedarknet_l.c2ns_in1k,95.110,4.890,99.210,0.790,21.91,288,0.950,bicubic +convit_base.fb_in1k,95.100,4.900,99.150,0.850,86.54,224,0.875,bicubic +poolformer_m48.sail_in1k,95.100,4.900,99.100,0.900,73.47,224,0.950,bicubic +coatnet_rmlp_nano_rw_224.sw_in1k,95.090,4.910,99.170,0.830,15.15,224,0.900,bicubic +resnet152.a1_in1k,95.090,4.910,98.990,1.010,60.19,288,1.000,bicubic +ecaresnet50t.ra2_in1k,95.080,4.920,99.290,0.710,25.57,320,0.950,bicubic +tresnet_xl.miil_in1k,95.080,4.920,99.260,0.740,78.44,224,0.875,bilinear +davit_tiny.msft_in1k,95.080,4.920,99.140,0.860,28.36,224,0.950,bicubic +crossvit_18_240.in1k,95.070,4.930,99.120,0.880,43.27,240,0.875,bicubic +coat_lite_small.in1k,95.070,4.930,99.030,0.970,19.84,224,0.900,bicubic +crossvit_base_240.in1k,95.070,4.930,98.980,1.020,105.03,240,0.875,bicubic +efficientnetv2_rw_t.ra2_in1k,95.060,4.940,99.220,0.780,13.65,288,1.000,bicubic +vit_relpos_medium_patch16_rpn_224.sw_in1k,95.060,4.940,99.200,0.800,38.73,224,0.900,bicubic +xception41p.ra3_in1k,95.060,4.940,99.160,0.840,26.91,299,0.940,bicubic +xcit_small_24_p16_224.fb_in1k,95.060,4.940,99.070,0.930,47.67,224,1.000,bicubic +focalnet_tiny_srf.ms_in1k,95.050,4.950,99.280,0.720,28.43,224,0.900,bicubic +poolformerv2_m36.sail_in1k,95.050,4.950,99.150,0.850,56.08,224,1.000,bicubic +coatnet_nano_rw_224.sw_in1k,95.050,4.950,99.140,0.860,15.14,224,0.900,bicubic +mobilevitv2_200.cvnets_in22k_ft_in1k,95.050,4.950,99.080,0.920,18.45,256,0.888,bicubic +resnet152.tv2_in1k,95.040,4.960,99.180,0.820,60.19,224,0.965,bilinear +poolformer_m36.sail_in1k,95.030,4.970,99.100,0.900,56.17,224,0.950,bicubic +swinv2_tiny_window8_256.ms_in1k,95.020,4.980,99.170,0.830,28.35,256,0.900,bicubic +gcvit_xtiny.in1k,95.020,4.980,99.160,0.840,19.98,224,0.875,bicubic +deit_base_patch16_224.fb_in1k,95.020,4.980,98.970,1.030,86.57,224,0.900,bicubic +pvt_v2_b2.in1k,95.010,4.990,99.140,0.860,25.36,224,0.900,bicubic +halo2botnet50ts_256.a1h_in1k,95.010,4.990,99.040,0.960,22.64,256,0.950,bicubic +ecaresnet101d_pruned.miil_in1k,95.000,5.000,99.230,0.770,24.88,288,0.950,bicubic +seresnext50_32x4d.racm_in1k,95.000,5.000,99.200,0.800,27.56,288,0.950,bicubic +resnext50_32x4d.a1h_in1k,94.990,5.010,99.190,0.810,25.03,288,1.000,bicubic +crossvit_15_dagger_240.in1k,94.990,5.010,99.160,0.840,28.21,240,0.875,bicubic +coatnet_bn_0_rw_224.sw_in1k,94.980,5.020,99.240,0.760,27.44,224,0.950,bicubic +visformer_small.in1k,94.970,5.030,99.210,0.790,40.22,224,0.900,bicubic +convmixer_1536_20.in1k,94.970,5.030,99.170,0.830,51.63,224,0.960,bicubic tf_efficientnet_b3.ap_in1k,94.970,5.030,99.110,0.890,12.23,300,0.904,bicubic -visformer_small,94.960,5.040,99.210,0.790,40.22,224,0.900,bicubic -jx_nest_tiny,94.950,5.050,99.100,0.900,17.06,224,0.875,bicubic -resnet101,94.950,5.050,99.070,0.930,44.55,224,0.950,bicubic -xcit_large_24_p16_224,94.940,5.060,98.830,1.170,189.10,224,1.000,bicubic -gernet_l,94.930,5.070,99.200,0.800,31.08,256,0.875,bilinear -cait_xxs24_384,94.920,5.080,99.140,0.860,12.03,384,1.000,bicubic -resnetv2_101,94.920,5.080,99.120,0.880,44.54,224,0.950,bicubic -convit_small,94.920,5.080,99.110,0.890,27.78,224,0.875,bicubic +resnet152.a2_in1k,94.970,5.030,99.070,0.930,60.19,288,1.000,bicubic +xcit_large_24_p16_224.fb_in1k,94.960,5.040,98.830,1.170,189.10,224,1.000,bicubic +cait_xxs24_384.fb_dist_in1k,94.950,5.050,99.130,0.870,12.03,384,1.000,bicubic +vit_srelpos_medium_patch16_224.sw_in1k,94.940,5.060,99.200,0.800,38.74,224,0.900,bicubic +resnet101.a1_in1k,94.940,5.060,99.040,0.960,44.55,288,1.000,bicubic +gernet_l.idstcv_in1k,94.930,5.070,99.200,0.800,31.08,256,0.875,bilinear +resnetv2_50d_evos.ah_in1k,94.920,5.080,99.180,0.820,25.59,288,1.000,bicubic +swin_s3_tiny_224.ms_in1k,94.920,5.080,99.170,0.830,28.33,224,0.900,bicubic +convit_small.fb_in1k,94.920,5.080,99.100,0.900,27.78,224,0.875,bicubic +nest_tiny_jx.goog_in1k,94.920,5.080,99.100,0.900,17.06,224,0.875,bicubic tf_efficientnet_b3.aa_in1k,94.910,5.090,99.110,0.890,12.23,300,0.904,bicubic -coatnet_0_rw_224,94.910,5.090,99.020,0.980,27.44,224,0.950,bicubic -vit_srelpos_medium_patch16_224.sw_in1k,94.900,5.100,99.200,0.800,38.74,224,0.900,bicubic -swin_s3_tiny_224,94.900,5.100,99.160,0.840,28.33,224,0.900,bicubic -xcit_tiny_24_p8_224,94.890,5.110,99.190,0.810,12.11,224,1.000,bicubic -tresnet_l,94.890,5.110,99.030,0.970,55.99,224,0.875,bilinear -vit_small_patch16_224.augreg_in21k_ft_in1k,94.880,5.120,99.270,0.730,22.05,224,0.900,bicubic -mixer_b16_224_miil,94.880,5.120,99.080,0.920,59.88,224,0.875,bilinear +xcit_tiny_24_p8_224.fb_in1k,94.900,5.100,99.190,0.810,12.11,224,1.000,bicubic +tresnet_l.miil_in1k,94.900,5.100,99.030,0.970,55.99,224,0.875,bilinear +coatnet_0_rw_224.sw_in1k,94.900,5.100,99.020,0.980,27.44,224,0.950,bicubic +vit_small_patch16_224.augreg_in21k_ft_in1k,94.890,5.110,99.270,0.730,22.05,224,0.900,bicubic +ecaresnet50t.a1_in1k,94.890,5.110,99.070,0.930,25.57,288,1.000,bicubic +resnet101.a2_in1k,94.890,5.110,99.060,0.940,44.55,288,1.000,bicubic +mixer_b16_224.miil_in21k_ft_in1k,94.880,5.120,99.080,0.920,59.88,224,0.875,bilinear +regnety_032.tv2_in1k,94.870,5.130,99.230,0.770,19.44,224,0.965,bicubic convnext_nano.d1h_in1k,94.870,5.130,99.140,0.860,15.59,288,1.000,bicubic -resnetaa50,94.870,5.130,99.120,0.880,25.56,288,1.000,bicubic -tf_efficientnet_lite4.in1k,94.870,5.130,99.090,0.910,13.01,380,0.920,bilinear +tf_efficientnet_lite4.in1k,94.870,5.130,99.100,0.900,13.01,380,0.920,bilinear tf_efficientnet_b1.ns_jft_in1k,94.860,5.140,99.250,0.750,7.79,240,0.882,bicubic -coatnext_nano_rw_224,94.850,5.150,99.200,0.800,14.70,224,0.900,bicubic -edgenext_small,94.830,5.170,99.410,0.590,5.59,320,1.000,bicubic -vit_base_patch16_rpn_224.in1k,94.830,5.170,99.090,0.910,86.54,224,0.900,bicubic -xcit_small_12_p16_224,94.830,5.170,99.060,0.940,26.25,224,1.000,bicubic -seresnext50_32x4d,94.820,5.180,99.130,0.870,27.56,224,0.875,bicubic -cs3darknet_focus_l,94.790,5.210,99.150,0.850,21.15,288,0.950,bicubic -mobilevitv2_175_in22ft1k,94.790,5.210,99.090,0.910,14.25,256,0.888,bicubic -pit_b_224,94.790,5.210,98.820,1.180,73.76,224,0.900,bicubic -lamhalobotnet50ts_256,94.780,5.220,98.980,1.020,22.57,256,0.950,bicubic -twins_svt_small,94.770,5.230,99.080,0.920,24.06,224,0.900,bicubic -coat_mini,94.770,5.230,98.950,1.050,10.34,224,0.900,bicubic -swinv2_cr_tiny_ns_224,94.760,5.240,99.110,0.890,28.33,224,0.900,bicubic -vit_base_patch32_clip_224.laion2b_ft_in1k,94.740,5.260,99.070,0.930,88.22,224,0.900,bicubic -pit_s_distilled_224,94.730,5.270,99.190,0.810,24.04,224,0.900,bicubic -resnetv2_50x1_bitm,94.730,5.270,99.180,0.820,25.55,448,1.000,bilinear -legacy_senet154,94.730,5.270,99.100,0.900,115.09,224,0.875,bilinear -xcit_tiny_12_p8_224_dist,94.720,5.280,99.180,0.820,6.71,224,1.000,bicubic -crossvit_15_240,94.720,5.280,99.080,0.920,27.53,240,0.875,bicubic -gluon_resnet152_v1s,94.720,5.280,99.060,0.940,60.32,224,0.875,bicubic -resnest50d_4s2x40d,94.710,5.290,99.130,0.870,30.42,224,0.875,bicubic -gluon_senet154,94.710,5.290,98.970,1.030,115.09,224,0.875,bicubic -ssl_resnext50_32x4d,94.700,5.300,99.240,0.760,25.03,224,0.875,bilinear -mobilevitv2_150_in22ft1k,94.700,5.300,98.920,1.080,10.59,256,0.888,bicubic -halonet50ts,94.700,5.300,98.830,1.170,22.73,256,0.940,bicubic -vit_relpos_small_patch16_224.sw_in1k,94.690,5.310,99.100,0.900,21.98,224,0.900,bicubic -deit3_small_patch16_224,94.690,5.310,98.750,1.250,22.06,224,0.900,bicubic -cs3darknet_l,94.680,5.320,99.220,0.780,21.16,288,0.950,bicubic -regnetz_b16,94.680,5.320,99.160,0.840,9.72,288,0.940,bicubic +coatnext_nano_rw_224.sw_in1k,94.850,5.150,99.200,0.800,14.70,224,0.900,bicubic +resnetaa50.a1h_in1k,94.850,5.150,99.120,0.880,25.56,288,1.000,bicubic +resnet101.tv2_in1k,94.840,5.160,99.030,0.970,44.55,224,0.965,bilinear +edgenext_small.usi_in1k,94.830,5.170,99.410,0.590,5.59,320,1.000,bicubic +vit_base_patch16_rpn_224.sw_in1k,94.830,5.170,99.090,0.910,86.54,224,0.900,bicubic +xcit_small_12_p16_224.fb_in1k,94.820,5.180,99.060,0.940,26.25,224,1.000,bicubic +wide_resnet50_2.tv2_in1k,94.810,5.190,99.260,0.740,68.88,224,0.965,bilinear +resnet50d.ra2_in1k,94.810,5.190,99.230,0.770,25.58,288,0.950,bicubic +lamhalobotnet50ts_256.a1h_in1k,94.810,5.190,98.980,1.020,22.57,256,0.950,bicubic +pit_b_224.in1k,94.810,5.190,98.820,1.180,73.76,224,0.900,bicubic +swin_tiny_patch4_window7_224.ms_in22k_ft_in1k,94.800,5.200,99.290,0.710,28.29,224,0.900,bicubic +cs3darknet_focus_l.c2ns_in1k,94.790,5.210,99.160,0.840,21.15,288,0.950,bicubic +gcresnet50t.ra2_in1k,94.780,5.220,99.120,0.880,25.90,288,1.000,bicubic +mobilevitv2_175.cvnets_in22k_ft_in1k,94.780,5.220,99.090,0.910,14.25,256,0.888,bicubic +swinv2_cr_tiny_ns_224.sw_in1k,94.770,5.230,99.110,0.890,28.33,224,0.900,bicubic +twins_svt_small.in1k,94.760,5.240,99.090,0.910,24.06,224,0.900,bicubic +coat_mini.in1k,94.760,5.240,98.950,1.050,10.34,224,0.900,bicubic +vit_base_patch32_clip_224.laion2b_ft_in1k,94.750,5.250,99.070,0.930,88.22,224,0.900,bicubic +resnetv2_50x1_bit.goog_in21k_ft_in1k,94.740,5.260,99.180,0.820,25.55,448,1.000,bilinear +seresnet50.ra2_in1k,94.740,5.260,99.110,0.890,28.09,288,0.950,bicubic +legacy_senet154.in1k,94.730,5.270,99.100,0.900,115.09,224,0.875,bilinear +regnetx_080.tv2_in1k,94.730,5.270,99.030,0.970,39.57,224,0.965,bicubic +resnet152s.gluon_in1k,94.720,5.280,99.060,0.940,60.32,224,0.875,bicubic +halonet50ts.a1h_in1k,94.720,5.280,98.830,1.170,22.73,256,0.940,bicubic +resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k,94.710,5.290,99.240,0.760,25.03,224,0.875,bilinear +poolformerv2_s36.sail_in1k,94.700,5.300,99.230,0.770,30.79,224,1.000,bicubic +resnest50d_4s2x40d.in1k,94.700,5.300,99.130,0.870,30.42,224,0.875,bicubic +crossvit_15_240.in1k,94.700,5.300,99.080,0.920,27.53,240,0.875,bicubic +senet154.gluon_in1k,94.700,5.300,98.970,1.030,115.09,224,0.875,bicubic +xcit_tiny_12_p8_224.fb_dist_in1k,94.690,5.310,99.180,0.820,6.71,224,1.000,bicubic +pit_s_distilled_224.in1k,94.690,5.310,99.150,0.850,24.04,224,0.900,bicubic +resnetv2_50.a1h_in1k,94.690,5.310,99.090,0.910,25.55,288,1.000,bicubic +deit3_small_patch16_224.fb_in1k,94.690,5.310,98.760,1.240,22.06,224,0.900,bicubic +cs3darknet_l.c2ns_in1k,94.680,5.320,99.230,0.770,21.16,288,0.950,bicubic +vit_relpos_small_patch16_224.sw_in1k,94.680,5.320,99.110,0.890,21.98,224,0.900,bicubic +mobilevitv2_150.cvnets_in22k_ft_in1k,94.680,5.320,98.920,1.080,10.59,256,0.888,bicubic +ecaresnet50d.miil_in1k,94.670,5.330,99.260,0.740,25.58,288,0.950,bicubic efficientnet_el.ra_in1k,94.670,5.330,99.130,0.870,10.59,300,0.904,bicubic -wide_resnet50_2,94.670,5.330,99.050,0.950,68.88,224,0.875,bicubic -tresnet_m_448,94.660,5.340,99.150,0.850,31.39,448,0.875,bilinear -rexnet_200,94.660,5.340,99.090,0.910,16.37,224,0.875,bicubic -gluon_seresnext101_64x4d,94.650,5.350,98.980,1.020,88.23,224,0.875,bicubic -poolformer_s36,94.630,5.370,99.050,0.950,30.86,224,0.900,bicubic -vit_small_patch16_384.augreg_in1k,94.620,5.380,99.140,0.860,22.20,384,1.000,bicubic -swin_tiny_patch4_window7_224,94.620,5.380,99.120,0.880,28.29,224,0.900,bicubic -resnest50d,94.620,5.380,99.030,0.970,27.48,224,0.875,bilinear -gcresnet50t,94.620,5.380,98.980,1.020,25.90,256,0.900,bicubic -twins_pcpvt_small,94.600,5.400,99.150,0.850,24.11,224,0.900,bicubic +regnetz_b16.ra3_in1k,94.670,5.330,99.130,0.870,9.72,288,1.000,bicubic +rexnet_200.nav_in1k,94.670,5.330,99.090,0.910,16.37,224,0.875,bicubic +tresnet_m.miil_in1k_448,94.660,5.340,99.150,0.850,31.39,448,0.875,bilinear +seresnext101_64x4d.gluon_in1k,94.650,5.350,98.970,1.030,88.23,224,0.875,bicubic +resnet50_gn.a1h_in1k,94.620,5.380,99.150,0.850,25.56,288,0.950,bicubic +swin_tiny_patch4_window7_224.ms_in1k,94.620,5.380,99.120,0.880,28.29,224,0.900,bicubic +poolformer_s36.sail_in1k,94.620,5.380,99.050,0.950,30.86,224,0.900,bicubic +vit_small_patch16_384.augreg_in1k,94.610,5.390,99.140,0.860,22.20,384,1.000,bicubic +twins_pcpvt_small.in1k,94.600,5.400,99.150,0.850,24.11,224,0.900,bicubic +deit_small_distilled_patch16_224.fb_in1k,94.600,5.400,99.100,0.900,22.44,224,0.900,bicubic +resnet50.tv2_in1k,94.600,5.400,99.090,0.910,25.56,224,0.965,bilinear +resnest50d.in1k,94.600,5.400,99.030,0.970,27.48,224,0.875,bilinear vit_small_patch32_384.augreg_in21k_ft_in1k,94.590,5.410,99.140,0.860,22.92,384,1.000,bicubic -deit_small_distilled_patch16_224,94.590,5.410,99.100,0.900,22.44,224,0.900,bicubic -pit_s_224,94.590,5.410,98.930,1.070,23.46,224,0.900,bicubic -tnt_s_patch16_224,94.580,5.420,99.180,0.820,23.76,224,0.900,bicubic -crossvit_small_240,94.580,5.420,99.110,0.890,26.86,240,0.875,bicubic -efficientnet_b3_pruned.in1k,94.580,5.420,99.070,0.930,9.86,300,0.904,bicubic +efficientnet_b3_pruned.in1k,94.590,5.410,99.070,0.930,9.86,300,0.904,bicubic +pit_s_224.in1k,94.590,5.410,98.930,1.070,23.46,224,0.900,bicubic +crossvit_small_240.in1k,94.580,5.420,99.110,0.890,26.86,240,0.875,bicubic convnext_nano_ols.d1h_in1k,94.580,5.420,99.050,0.950,15.65,288,1.000,bicubic -resmlp_36_distilled_224,94.570,5.430,99.160,0.840,44.69,224,0.875,bicubic -resnext50_32x4d,94.570,5.430,98.800,1.200,25.03,224,0.950,bicubic -vit_srelpos_small_patch16_224.sw_in1k,94.550,5.450,99.140,0.860,21.97,224,0.900,bicubic -gernet_m,94.550,5.450,98.930,1.070,21.14,224,0.875,bilinear -repvgg_b3,94.550,5.450,98.910,1.090,123.09,224,0.875,bilinear -lambda_resnet50ts,94.550,5.450,98.660,1.340,21.54,256,0.950,bicubic -xcit_tiny_12_p16_384_dist,94.530,5.470,99.170,0.830,6.72,384,1.000,bicubic -regnety_320,94.520,5.480,99.170,0.830,145.05,224,0.875,bicubic -sehalonet33ts,94.520,5.480,98.760,1.240,13.69,256,0.940,bicubic -mobilevitv2_200,94.510,5.490,98.970,1.030,18.45,256,0.888,bicubic -haloregnetz_b,94.510,5.490,98.960,1.040,11.68,224,0.940,bicubic -repvgg_b3g4,94.490,5.510,99.020,0.980,83.83,224,0.875,bilinear -ecaresnet101d_pruned,94.450,5.550,99.100,0.900,24.88,224,0.875,bicubic -gluon_seresnext101_32x4d,94.450,5.550,99.090,0.910,48.96,224,0.875,bicubic +ecaresnet50t.a2_in1k,94.570,5.430,99.040,0.960,25.57,288,1.000,bicubic +repvgg_b3.rvgg_in1k,94.570,5.430,98.910,1.090,123.09,224,0.875,bilinear +lambda_resnet50ts.a1h_in1k,94.570,5.430,98.650,1.350,21.54,256,0.950,bicubic +tnt_s_patch16_224,94.560,5.440,99.170,0.830,23.76,224,0.900,bicubic +resmlp_36_224.fb_distilled_in1k,94.560,5.440,99.160,0.840,44.69,224,0.875,bicubic +convnextv2_pico.fcmae_ft_in1k,94.560,5.440,99.140,0.860,9.07,288,0.950,bicubic +vit_srelpos_small_patch16_224.sw_in1k,94.550,5.450,99.150,0.850,21.97,224,0.900,bicubic +gernet_m.idstcv_in1k,94.540,5.460,98.920,1.080,21.14,224,0.875,bilinear +ecaresnetlight.miil_in1k,94.530,5.470,99.180,0.820,30.16,288,0.950,bicubic +res2net101d.in1k,94.530,5.470,98.980,1.020,45.23,224,0.875,bilinear +regnety_320.pycls_in1k,94.520,5.480,99.170,0.830,145.05,224,0.875,bicubic +xcit_tiny_12_p16_384.fb_dist_in1k,94.520,5.480,99.170,0.830,6.72,384,1.000,bicubic +mobilevitv2_200.cvnets_in1k,94.520,5.480,98.970,1.030,18.45,256,0.888,bicubic +haloregnetz_b.ra3_in1k,94.520,5.480,98.960,1.040,11.68,224,0.940,bicubic +regnetx_032.tv2_in1k,94.520,5.480,98.910,1.090,15.30,224,0.965,bicubic +sehalonet33ts.ra2_in1k,94.520,5.480,98.770,1.230,13.69,256,0.940,bicubic +resnet50.c1_in1k,94.510,5.490,99.070,0.930,25.56,288,1.000,bicubic +resnet50.b1k_in1k,94.510,5.490,99.000,1.000,25.56,288,1.000,bicubic +repvgg_b3g4.rvgg_in1k,94.500,5.500,99.020,0.980,83.83,224,0.875,bilinear +gcresnext50ts.ch_in1k,94.490,5.510,99.010,0.990,15.67,288,1.000,bicubic +ese_vovnet39b.ra_in1k,94.480,5.520,99.060,0.940,24.57,288,0.950,bicubic +poolformerv2_s24.sail_in1k,94.470,5.530,99.010,0.990,21.34,224,1.000,bicubic +resnet50.d_in1k,94.470,5.530,99.000,1.000,25.56,288,1.000,bicubic +resnext50_32x4d.tv2_in1k,94.460,5.540,99.030,0.970,25.03,224,0.965,bilinear +resnet50d.a2_in1k,94.460,5.540,98.900,1.100,25.58,288,1.000,bicubic +eva02_tiny_patch14_336.mim_in22k_ft_in1k,94.450,5.550,99.100,0.900,5.76,336,1.000,bicubic +seresnet50.a2_in1k,94.450,5.550,98.890,1.110,28.09,288,1.000,bicubic vit_base_patch32_clip_224.openai_ft_in1k,94.440,5.560,99.180,0.820,88.22,224,0.900,bicubic +convmixer_768_32.in1k,94.440,5.560,99.110,0.890,21.11,224,0.960,bicubic vit_base_patch16_384.augreg_in1k,94.440,5.560,99.020,0.980,86.86,384,1.000,bicubic -gluon_resnet152_v1d,94.440,5.560,99.010,0.990,60.21,224,0.875,bicubic -convmixer_768_32,94.420,5.580,99.110,0.890,21.11,224,0.960,bicubic -gcresnext50ts,94.410,5.590,98.990,1.010,15.67,256,0.900,bicubic -nf_resnet50,94.400,5.600,99.070,0.930,25.56,288,0.940,bicubic -levit_256,94.400,5.600,99.060,0.940,18.89,224,0.900,bicubic -resnest50d_1s4x24d,94.390,5.610,99.070,0.930,25.68,224,0.875,bicubic -vit_base_patch32_224.augreg_in21k_ft_in1k,94.390,5.610,99.060,0.940,88.22,224,0.900,bicubic -inception_v4,94.380,5.620,98.820,1.180,42.68,299,0.875,bicubic -darknet53,94.370,5.630,99.050,0.950,41.61,288,1.000,bicubic -efficientnet_b2.ra_in1k,94.370,5.630,99.050,0.950,9.11,288,1.000,bicubic -tf_efficientnet_el.in1k,94.360,5.640,99.100,0.900,10.59,300,0.904,bicubic -xcit_tiny_12_p8_224,94.360,5.640,99.070,0.930,6.71,224,1.000,bicubic -edgenext_small_rw,94.360,5.640,99.040,0.960,7.83,320,1.000,bicubic -gluon_resnext101_64x4d,94.350,5.650,98.880,1.120,83.46,224,0.875,bicubic -inception_resnet_v2,94.340,5.660,98.800,1.200,55.84,299,0.897,bicubic -resmlp_24_distilled_224,94.330,5.670,99.090,0.910,30.02,224,0.875,bicubic -poolformer_s24,94.330,5.670,99.060,0.940,21.39,224,0.900,bicubic -sebotnet33ts_256,94.330,5.670,98.580,1.420,13.70,256,0.940,bicubic -ssl_resnet50,94.310,5.690,99.150,0.850,25.56,224,0.875,bilinear -resnetv2_50,94.290,5.710,98.930,1.070,25.55,224,0.950,bicubic -regnetx_120,94.270,5.730,99.190,0.810,46.11,224,0.875,bicubic -rexnet_150,94.270,5.730,99.080,0.920,9.73,224,0.875,bicubic +resnet152.a3_in1k,94.440,5.560,98.880,1.120,60.19,224,0.950,bicubic +seresnext101_32x4d.gluon_in1k,94.430,5.570,99.090,0.910,48.96,224,0.875,bicubic +resnet152d.gluon_in1k,94.430,5.570,99.000,1.000,60.21,224,0.875,bicubic +regnety_016.tv2_in1k,94.410,5.590,99.040,0.960,11.20,224,0.965,bicubic +levit_256.fb_dist_in1k,94.400,5.600,99.060,0.940,18.89,224,0.900,bicubic +levit_conv_256.fb_dist_in1k,94.400,5.600,99.060,0.940,18.89,224,0.900,bicubic +vit_base_patch32_224.augreg_in21k_ft_in1k,94.400,5.600,99.060,0.940,88.22,224,0.900,bicubic +resnext50d_32x4d.bt_in1k,94.400,5.600,99.050,0.950,25.05,288,0.950,bicubic +resnet50d.a1_in1k,94.400,5.600,98.790,1.210,25.58,288,1.000,bicubic +poolformer_s24.sail_in1k,94.390,5.610,99.060,0.940,21.39,224,0.900,bicubic +nf_resnet50.ra2_in1k,94.380,5.620,99.070,0.930,25.56,288,0.940,bicubic +resnest50d_1s4x24d.in1k,94.380,5.620,99.070,0.930,25.68,224,0.875,bicubic +inception_v4.tf_in1k,94.380,5.620,98.820,1.180,42.68,299,0.875,bicubic +resnext50_32x4d.a1_in1k,94.380,5.620,98.780,1.220,25.03,288,1.000,bicubic +darknet53.c2ns_in1k,94.360,5.640,99.050,0.950,41.61,288,1.000,bicubic +efficientnet_b2.ra_in1k,94.360,5.640,99.050,0.950,9.11,288,1.000,bicubic +edgenext_small_rw.sw_in1k,94.360,5.640,99.040,0.960,7.83,320,1.000,bicubic +inception_resnet_v2.tf_in1k,94.360,5.640,98.800,1.200,55.84,299,0.897,bicubic +tf_efficientnet_el.in1k,94.350,5.650,99.100,0.900,10.59,300,0.904,bicubic +xcit_tiny_12_p8_224.fb_in1k,94.350,5.650,99.070,0.930,6.71,224,1.000,bicubic +gcresnet33ts.ra2_in1k,94.350,5.650,98.960,1.040,19.88,288,1.000,bicubic +resnext101_64x4d.gluon_in1k,94.350,5.650,98.880,1.120,83.46,224,0.875,bicubic +resmlp_24_224.fb_distilled_in1k,94.330,5.670,99.090,0.910,30.02,224,0.875,bicubic +resnext50_32x4d.ra_in1k,94.330,5.670,99.030,0.970,25.03,288,0.950,bicubic +resnet50.fb_ssl_yfcc100m_ft_in1k,94.320,5.680,99.150,0.850,25.56,224,0.875,bilinear +sebotnet33ts_256.a1h_in1k,94.310,5.690,98.600,1.400,13.70,256,0.940,bicubic +ecaresnet50d_pruned.miil_in1k,94.300,5.700,99.200,0.800,19.94,288,0.950,bicubic +resnet50.b2k_in1k,94.300,5.700,98.930,1.070,25.56,288,1.000,bicubic +tf_efficientnet_b3.in1k,94.290,5.710,99.100,0.900,12.23,300,0.904,bicubic +res2net50d.in1k,94.280,5.720,98.860,1.140,25.72,224,0.875,bilinear +rexnet_150.nav_in1k,94.270,5.730,99.090,0.910,9.73,224,0.875,bicubic +resnet50.c2_in1k,94.270,5.730,99.040,0.960,25.56,288,1.000,bicubic tf_efficientnet_b2.ap_in1k,94.270,5.730,98.950,1.050,9.11,260,0.890,bicubic -seresnet33ts,94.270,5.730,98.780,1.220,19.78,256,0.900,bicubic -resmlp_big_24_224,94.260,5.740,98.820,1.180,129.14,224,0.875,bicubic -cspresnext50,94.250,5.750,99.050,0.950,20.57,256,0.887,bilinear -xcit_tiny_24_p16_224_dist,94.230,5.770,98.960,1.040,12.12,224,1.000,bicubic -mobilevitv2_175,94.230,5.770,98.930,1.070,14.25,256,0.888,bicubic +resmlp_big_24_224.fb_in1k,94.270,5.730,98.820,1.180,129.14,224,0.875,bicubic +regnetx_120.pycls_in1k,94.260,5.740,99.170,0.830,46.11,224,0.875,bicubic +seresnet33ts.ra2_in1k,94.260,5.740,99.000,1.000,19.78,288,1.000,bicubic +eca_resnet33ts.ra2_in1k,94.250,5.750,99.030,0.970,19.68,288,1.000,bicubic +cspresnext50.ra_in1k,94.240,5.760,99.050,0.950,20.57,256,0.887,bilinear +xcit_tiny_24_p16_224.fb_dist_in1k,94.240,5.760,98.960,1.040,12.12,224,1.000,bicubic +regnetx_320.pycls_in1k,94.230,5.770,99.050,0.950,107.81,224,0.875,bicubic +mobilevitv2_175.cvnets_in1k,94.230,5.770,98.930,1.070,14.25,256,0.888,bicubic mixnet_xl.ra_in1k,94.230,5.770,98.820,1.180,11.90,224,0.875,bicubic -maxvit_rmlp_pico_rw_256,94.220,5.780,99.000,1.000,7.52,256,0.950,bicubic -regnetx_320,94.210,5.790,99.050,0.950,107.81,224,0.875,bicubic -tf_efficientnet_b2.aa_in1k,94.210,5.790,99.030,0.970,9.11,260,0.890,bicubic -darknetaa53,94.210,5.790,98.950,1.050,36.02,288,1.000,bilinear -ecaresnet50d,94.190,5.810,99.020,0.980,25.58,224,0.875,bicubic -dpn92,94.190,5.810,98.930,1.070,37.67,224,0.875,bicubic -resnet50_gn,94.180,5.820,98.920,1.080,25.56,224,0.940,bicubic -gluon_resnet101_v1s,94.170,5.830,99.010,0.990,44.67,224,0.875,bicubic -gluon_resnet101_v1d,94.170,5.830,98.940,1.060,44.57,224,0.875,bicubic -gluon_seresnext50_32x4d,94.170,5.830,98.910,1.090,27.56,224,0.875,bicubic -ecaresnetlight,94.140,5.860,98.950,1.050,30.16,224,0.875,bicubic -legacy_seresnext101_32x4d,94.130,5.870,98.970,1.030,48.96,224,0.875,bilinear -tf_efficientnet_lite3.in1k,94.130,5.870,98.960,1.040,8.20,300,0.904,bilinear -ens_adv_inception_resnet_v2,94.130,5.870,98.790,1.210,55.84,299,0.897,bicubic -gluon_resnext101_32x4d,94.120,5.880,98.930,1.070,44.18,224,0.875,bicubic -efficientnet_el_pruned.in1k,94.090,5.910,99.010,0.990,10.59,300,0.904,bicubic -cspdarknet53,94.090,5.910,98.980,1.020,27.64,256,0.887,bilinear -seresnet50,94.080,5.920,98.970,1.030,28.09,224,0.875,bicubic -tf_efficientnetv2_b2.in1k,94.070,5.930,98.930,1.070,10.10,260,0.890,bicubic -resnet50d,94.070,5.930,98.920,1.080,25.58,224,0.875,bicubic -gcvit_xxtiny,94.050,5.950,99.070,0.930,12.00,224,0.875,bicubic -mobilevitv2_150,94.050,5.950,98.900,1.100,10.59,256,0.888,bicubic -hrnet_w48,94.030,5.970,99.040,0.960,77.47,224,0.875,bilinear -convnext_pico.d1_in1k,94.030,5.970,99.000,1.000,9.05,288,0.950,bicubic -convnext_pico_ols.d1_in1k,94.030,5.970,98.940,1.060,9.06,288,1.000,bicubic -gluon_resnet152_v1b,94.030,5.970,98.740,1.260,60.19,224,0.875,bicubic -resnetrs50,94.020,5.980,98.850,1.150,35.69,224,0.910,bicubic -regnety_120,94.010,5.990,99.030,0.970,51.82,224,0.875,bicubic -gluon_xception65,94.010,5.990,99.020,0.980,39.92,299,0.903,bicubic -dla102x2,94.000,6.000,99.030,0.970,41.28,224,0.875,bilinear -deit_small_patch16_224,94.000,6.000,98.960,1.040,22.05,224,0.900,bicubic -dpn107,93.960,6.040,98.840,1.160,86.92,224,0.875,bicubic -skresnext50_32x4d,93.950,6.050,98.820,1.180,27.48,224,0.875,bicubic -efficientformer_l1,93.940,6.060,99.030,0.970,12.29,224,0.950,bicubic -dpn98,93.940,6.060,98.920,1.080,61.57,224,0.875,bicubic -ecaresnet26t,93.940,6.060,98.920,1.080,16.01,320,0.950,bicubic -cait_xxs36_224,93.940,6.060,98.890,1.110,17.30,224,1.000,bicubic -resnet50,93.920,6.080,98.470,1.530,25.56,224,0.950,bicubic -xception71,93.890,6.110,98.950,1.050,42.34,299,0.903,bicubic -vit_base_patch16_224.sam,93.890,6.110,98.890,1.110,86.57,224,0.900,bicubic -regnetx_160,93.880,6.120,99.090,0.910,54.28,224,0.875,bicubic -gluon_resnet152_v1c,93.880,6.120,98.800,1.200,60.21,224,0.875,bicubic -nf_regnet_b1,93.880,6.120,98.740,1.260,10.22,288,0.900,bicubic -eca_resnet33ts,93.860,6.140,98.890,1.110,19.68,256,0.900,bicubic -cspresnet50,93.860,6.140,98.870,1.130,21.62,256,0.887,bilinear -ese_vovnet39b,93.850,6.150,98.900,1.100,24.57,224,0.875,bicubic -xcit_tiny_24_p16_224,93.850,6.150,98.760,1.240,12.12,224,1.000,bicubic -fbnetv3_d.ra2_in1k,93.840,6.160,98.910,1.090,10.31,256,0.950,bilinear -hrnet_w64,93.830,6.170,98.930,1.070,128.06,224,0.875,bilinear -ecaresnet50d_pruned,93.820,6.180,99.000,1.000,19.94,224,0.875,bicubic -repvgg_b2g4,93.820,6.180,98.930,1.070,61.76,224,0.875,bilinear -gcresnet33ts,93.820,6.180,98.910,1.090,19.88,256,0.900,bicubic -resnext50d_32x4d,93.810,6.190,98.740,1.260,25.05,224,0.875,bicubic +tf_efficientnet_b2.aa_in1k,94.220,5.780,99.040,0.960,9.11,260,0.890,bicubic +resnet50.a1_in1k,94.220,5.780,98.930,1.070,25.56,288,1.000,bicubic +resnext50_32x4d.a2_in1k,94.220,5.780,98.750,1.250,25.03,288,1.000,bicubic +maxvit_rmlp_pico_rw_256.sw_in1k,94.210,5.790,99.000,1.000,7.52,256,0.950,bicubic +darknetaa53.c2ns_in1k,94.210,5.790,98.950,1.050,36.02,288,1.000,bilinear +resnet50.a1h_in1k,94.210,5.790,98.920,1.080,25.56,224,1.000,bicubic +resnet101s.gluon_in1k,94.180,5.820,99.010,0.990,44.67,224,0.875,bicubic +resnet101d.gluon_in1k,94.180,5.820,98.940,1.060,44.57,224,0.875,bicubic +seresnext50_32x4d.gluon_in1k,94.180,5.820,98.920,1.080,27.56,224,0.875,bicubic +resnetblur50.bt_in1k,94.170,5.830,99.010,0.990,25.56,288,0.950,bicubic +seresnet50.a1_in1k,94.160,5.840,98.850,1.150,28.09,288,1.000,bicubic +dpn92.mx_in1k,94.150,5.850,98.950,1.050,37.67,224,0.875,bicubic +regnety_064.pycls_in1k,94.130,5.870,99.030,0.970,30.58,224,0.875,bicubic +regnety_160.pycls_in1k,94.130,5.870,99.020,0.980,83.59,224,0.875,bicubic +resnext101_32x4d.gluon_in1k,94.130,5.870,98.940,1.060,44.18,224,0.875,bicubic +resnet50.a2_in1k,94.130,5.870,98.850,1.150,25.56,288,1.000,bicubic +legacy_seresnext101_32x4d.in1k,94.120,5.880,98.970,1.030,48.96,224,0.875,bilinear +inception_resnet_v2.tf_ens_adv_in1k,94.120,5.880,98.790,1.210,55.84,299,0.897,bicubic +resnet50.ra_in1k,94.100,5.900,98.840,1.160,25.56,288,0.950,bicubic +cspdarknet53.ra_in1k,94.090,5.910,98.980,1.020,27.64,256,0.887,bilinear +tf_efficientnet_lite3.in1k,94.090,5.910,98.960,1.040,8.20,300,0.904,bilinear +efficientnet_el_pruned.in1k,94.080,5.920,99.020,0.980,10.59,300,0.904,bicubic +tresnet_m.miil_in1k,94.080,5.920,98.830,1.170,31.39,224,0.875,bilinear +tf_efficientnetv2_b2.in1k,94.060,5.940,98.930,1.070,10.10,260,0.890,bicubic +gcvit_xxtiny.in1k,94.050,5.950,99.080,0.920,12.00,224,0.875,bicubic +mobilevitv2_150.cvnets_in1k,94.050,5.950,98.900,1.100,10.59,256,0.888,bicubic +convnext_pico.d1_in1k,94.030,5.970,99.010,0.990,9.05,288,0.950,bicubic +resnetrs50.tf_in1k,94.030,5.970,98.850,1.150,35.69,224,0.910,bicubic +resnet152.gluon_in1k,94.030,5.970,98.740,1.260,60.19,224,0.875,bicubic +regnetx_016.tv2_in1k,94.020,5.980,98.930,1.070,9.19,224,0.965,bicubic +hrnet_w48.ms_in1k,94.010,5.990,99.030,0.970,77.47,224,0.875,bilinear +regnety_120.pycls_in1k,94.010,5.990,99.030,0.970,51.82,224,0.875,bicubic +convnext_pico_ols.d1_in1k,94.010,5.990,98.930,1.070,9.06,288,1.000,bicubic +dpn107.mx_in1k,94.010,5.990,98.820,1.180,86.92,224,0.875,bicubic +resnet50.ram_in1k,94.000,6.000,98.880,1.120,25.56,288,0.950,bicubic +dla102x2.in1k,93.990,6.010,99.040,0.960,41.28,224,0.875,bilinear +deit_small_patch16_224.fb_in1k,93.990,6.010,98.960,1.040,22.05,224,0.900,bicubic +resnet50.bt_in1k,93.960,6.040,98.930,1.070,25.56,288,0.950,bicubic +skresnext50_32x4d.ra_in1k,93.960,6.040,98.830,1.170,27.48,224,0.875,bicubic +efficientformer_l1.snap_dist_in1k,93.940,6.060,99.030,0.970,12.29,224,0.950,bicubic +ecaresnet26t.ra2_in1k,93.940,6.060,98.930,1.070,16.01,320,0.950,bicubic +dpn98.mx_in1k,93.930,6.070,98.910,1.090,61.57,224,0.875,bicubic +resnet33ts.ra2_in1k,93.930,6.070,98.880,1.120,19.68,288,1.000,bicubic +xception71.tf_in1k,93.920,6.080,98.950,1.050,42.34,299,0.903,bicubic +regnetx_160.pycls_in1k,93.910,6.090,99.090,0.910,54.28,224,0.875,bicubic +cait_xxs36_224.fb_dist_in1k,93.910,6.090,98.890,1.110,17.30,224,1.000,bicubic +vit_base_patch16_224.sam_in1k,93.890,6.110,98.890,1.110,86.57,224,0.900,bicubic +nf_regnet_b1.ra2_in1k,93.890,6.110,98.750,1.250,10.22,288,0.900,bicubic +regnety_080.pycls_in1k,93.880,6.120,99.000,1.000,39.18,224,0.875,bicubic +resnet152c.gluon_in1k,93.880,6.120,98.800,1.200,60.21,224,0.875,bicubic +fbnetv3_d.ra2_in1k,93.870,6.130,98.900,1.100,10.31,256,0.950,bilinear +cspresnet50.ra_in1k,93.870,6.130,98.870,1.130,21.62,256,0.887,bilinear +ecaresnet50t.a3_in1k,93.860,6.140,98.850,1.150,25.57,224,0.950,bicubic +resnet101.a3_in1k,93.860,6.140,98.760,1.240,44.55,224,0.950,bicubic +xcit_tiny_24_p16_224.fb_in1k,93.850,6.150,98.750,1.250,12.12,224,1.000,bicubic +efficientformerv2_s1.snap_dist_in1k,93.840,6.160,98.890,1.110,6.19,224,0.950,bicubic +hrnet_w64.ms_in1k,93.830,6.170,98.940,1.060,128.06,224,0.875,bilinear +repvgg_b2g4.rvgg_in1k,93.830,6.170,98.930,1.070,61.76,224,0.875,bilinear efficientnet_b2_pruned.in1k,93.800,6.200,98.910,1.090,8.31,260,0.890,bicubic -dla169,93.800,6.200,98.840,1.160,53.39,224,0.875,bilinear -regnetx_080,93.790,6.210,98.910,1.090,39.57,224,0.875,bicubic -resnext101_32x8d,93.770,6.230,98.950,1.050,88.79,224,0.875,bilinear -dpn131,93.760,6.240,98.800,1.200,79.25,224,0.875,bicubic -gluon_resnet101_v1b,93.760,6.240,98.700,1.300,44.55,224,0.875,bicubic -tf_efficientnet_b0.ns_jft_in1k,93.740,6.260,98.980,1.020,5.29,224,0.875,bicubic -efficientnet_em.ra2_in1k,93.740,6.260,98.930,1.070,6.90,240,0.882,bicubic -wide_resnet101_2,93.730,6.270,98.810,1.190,126.89,224,0.875,bilinear +regnetx_080.pycls_in1k,93.790,6.210,98.910,1.090,39.57,224,0.875,bicubic +dla169.in1k,93.790,6.210,98.860,1.140,53.39,224,0.875,bilinear +dpn68b.ra_in1k,93.790,6.210,98.540,1.460,12.61,288,1.000,bicubic +resnext101_32x8d.tv_in1k,93.780,6.220,98.960,1.040,88.79,224,0.875,bilinear +dpn131.mx_in1k,93.780,6.220,98.850,1.150,79.25,224,0.875,bicubic +resnet101.gluon_in1k,93.760,6.240,98.700,1.300,44.55,224,0.875,bicubic +tf_efficientnet_b0.ns_jft_in1k,93.750,6.250,98.970,1.030,5.29,224,0.875,bicubic +convnextv2_femto.fcmae_ft_in1k,93.750,6.250,98.930,1.070,5.23,288,0.950,bicubic +xception65.tf_in1k,93.750,6.250,98.860,1.140,39.92,299,0.903,bicubic +efficientnet_em.ra2_in1k,93.730,6.270,98.930,1.070,6.90,240,0.882,bicubic +hrnet_w40.ms_in1k,93.730,6.270,98.800,1.200,57.56,224,0.875,bilinear +wide_resnet101_2.tv_in1k,93.720,6.280,98.810,1.190,126.89,224,0.875,bilinear +tf_efficientnet_b1.aa_in1k,93.720,6.280,98.800,1.200,7.79,240,0.882,bicubic +tf_efficientnet_b2.in1k,93.710,6.290,98.930,1.070,9.11,260,0.890,bicubic tf_efficientnetv2_b1.in1k,93.710,6.290,98.820,1.180,8.14,240,0.882,bicubic -resnetblur50,93.710,6.290,98.810,1.190,25.56,224,0.875,bicubic -hrnet_w40,93.710,6.290,98.800,1.200,57.56,224,0.875,bilinear -tf_efficientnet_b1.aa_in1k,93.710,6.290,98.800,1.200,7.79,240,0.882,bicubic -levit_192,93.710,6.290,98.790,1.210,10.95,224,0.900,bicubic -gluon_resnet101_v1c,93.690,6.310,98.760,1.240,44.57,224,0.875,bicubic -regnetx_040,93.680,6.320,98.940,1.060,22.12,224,0.875,bicubic -rexnet_130,93.670,6.330,98.710,1.290,7.56,224,0.875,bicubic -resmlp_36_224,93.650,6.350,98.950,1.050,44.69,224,0.875,bicubic -fbnetv3_b.ra2_in1k,93.650,6.350,98.910,1.090,8.60,256,0.950,bilinear -gluon_resnext50_32x4d,93.650,6.350,98.690,1.310,25.03,224,0.875,bicubic -xception,93.640,6.360,98.770,1.230,22.86,299,0.897,bicubic -regnetx_064,93.630,6.370,99.050,0.950,26.21,224,0.875,bicubic -tf_efficientnet_b1.ap_in1k,93.630,6.370,98.800,1.200,7.79,240,0.882,bicubic -resnet33ts,93.630,6.370,98.750,1.250,19.68,256,0.900,bicubic -hrnet_w44,93.620,6.380,98.960,1.040,67.06,224,0.875,bilinear -dpn68b,93.620,6.380,98.700,1.300,12.61,224,0.875,bicubic -halonet26t,93.610,6.390,98.640,1.360,12.48,256,0.950,bicubic -repvgg_b2,93.590,6.410,99.070,0.930,89.02,224,0.875,bilinear -gluon_resnet50_v1s,93.590,6.410,98.840,1.160,25.68,224,0.875,bicubic -res2net50_26w_6s,93.590,6.410,98.750,1.250,37.05,224,0.875,bilinear -dla60_res2next,93.570,6.430,98.800,1.200,17.03,224,0.875,bilinear -resnet32ts,93.570,6.430,98.750,1.250,17.96,256,0.900,bicubic -tf_efficientnet_cc_b1_8e.in1k,93.570,6.430,98.690,1.310,39.72,240,0.882,bicubic -eca_halonext26ts,93.550,6.450,98.680,1.320,10.76,256,0.940,bicubic -convnext_tiny.fb_in22k_ft_in1k,93.550,6.450,98.580,1.420,28.59,288,1.000,bicubic -gluon_inception_v3,93.540,6.460,98.830,1.170,23.83,299,0.875,bicubic -dla102x,93.530,6.470,98.850,1.150,26.31,224,0.875,bilinear -gluon_resnet50_v1d,93.530,6.470,98.710,1.290,25.58,224,0.875,bicubic -res2net101_26w_4s,93.520,6.480,98.600,1.400,45.21,224,0.875,bilinear -coat_tiny,93.510,6.490,98.690,1.310,5.50,224,0.900,bicubic -selecsls60b,93.500,6.500,98.840,1.160,32.77,224,0.875,bicubic -gmlp_s16_224,93.500,6.500,98.780,1.220,19.42,224,0.875,bicubic -pvt_v2_b1,93.490,6.510,98.860,1.140,14.01,224,0.900,bicubic -cait_xxs24_224,93.490,6.510,98.770,1.230,11.96,224,1.000,bicubic -xception41,93.480,6.520,98.750,1.250,26.97,299,0.903,bicubic -mobilevitv2_125,93.460,6.540,98.860,1.140,7.48,256,0.888,bicubic -coat_lite_mini,93.450,6.550,98.780,1.220,11.01,224,0.900,bicubic -res2net50_26w_8s,93.450,6.550,98.700,1.300,48.40,224,0.875,bilinear -botnet26t_256,93.450,6.550,98.650,1.350,12.49,256,0.950,bicubic -legacy_seresnet152,93.440,6.560,98.850,1.150,66.82,224,0.875,bilinear -convnext_femto.d1_in1k,93.440,6.560,98.810,1.190,5.22,288,0.950,bicubic -resmlp_24_224,93.440,6.560,98.810,1.190,30.02,224,0.875,bicubic -lambda_resnet26rpt_256,93.430,6.570,98.880,1.120,10.99,256,0.940,bicubic -legacy_seresnext50_32x4d,93.430,6.570,98.800,1.200,27.56,224,0.875,bilinear -vit_small_patch16_224.augreg_in1k,93.430,6.570,98.780,1.220,22.05,224,0.900,bicubic +levit_192.fb_dist_in1k,93.710,6.290,98.790,1.210,10.95,224,0.900,bicubic +levit_conv_192.fb_dist_in1k,93.710,6.290,98.790,1.210,10.95,224,0.900,bicubic +regnetx_040.pycls_in1k,93.690,6.310,98.930,1.070,22.12,224,0.875,bicubic +resnet101c.gluon_in1k,93.690,6.310,98.760,1.240,44.57,224,0.875,bicubic +rexnet_130.nav_in1k,93.680,6.320,98.700,1.300,7.56,224,0.875,bicubic +resnext50_32x4d.gluon_in1k,93.670,6.330,98.690,1.310,25.03,224,0.875,bicubic +resmlp_36_224.fb_in1k,93.650,6.350,98.950,1.050,44.69,224,0.875,bicubic +regnetx_064.pycls_in1k,93.640,6.360,99.040,0.960,26.21,224,0.875,bicubic +regnety_040.pycls_in1k,93.630,6.370,98.950,1.050,20.65,224,0.875,bicubic +fbnetv3_b.ra2_in1k,93.630,6.370,98.910,1.090,8.60,256,0.950,bilinear +resnet50.am_in1k,93.630,6.370,98.870,1.130,25.56,224,0.875,bicubic +hrnet_w44.ms_in1k,93.620,6.380,98.960,1.040,67.06,224,0.875,bilinear +tf_efficientnet_b1.ap_in1k,93.620,6.380,98.800,1.200,7.79,240,0.882,bicubic +legacy_xception.tf_in1k,93.620,6.380,98.770,1.230,22.86,299,0.897,bicubic +resnet34d.ra2_in1k,93.600,6.400,98.760,1.240,21.82,288,0.950,bicubic +res2net50_26w_6s.in1k,93.590,6.410,98.740,1.260,37.05,224,0.875,bilinear +resnet32ts.ra2_in1k,93.590,6.410,98.740,1.260,17.96,288,1.000,bicubic +halonet26t.a1h_in1k,93.590,6.410,98.630,1.370,12.48,256,0.950,bicubic +repvgg_b2.rvgg_in1k,93.580,6.420,99.070,0.930,89.02,224,0.875,bilinear +dla60_res2next.in1k,93.580,6.420,98.780,1.220,17.03,224,0.875,bilinear +tf_efficientnet_cc_b1_8e.in1k,93.580,6.420,98.690,1.310,39.72,240,0.882,bicubic +resnet50s.gluon_in1k,93.570,6.430,98.840,1.160,25.68,224,0.875,bicubic +inception_v3.gluon_in1k,93.560,6.440,98.840,1.160,23.83,299,0.875,bicubic +resnext50_32x4d.a3_in1k,93.550,6.450,98.820,1.180,25.03,224,0.950,bicubic +eca_halonext26ts.c1_in1k,93.550,6.450,98.680,1.320,10.76,256,0.940,bicubic +dla102x.in1k,93.540,6.460,98.850,1.150,26.31,224,0.875,bilinear +resnet50d.gluon_in1k,93.540,6.460,98.710,1.290,25.58,224,0.875,bicubic +res2net101_26w_4s.in1k,93.530,6.470,98.600,1.400,45.21,224,0.875,bilinear +convnext_tiny.fb_in22k_ft_in1k,93.530,6.470,98.570,1.430,28.59,288,1.000,bicubic +coat_tiny.in1k,93.510,6.490,98.680,1.320,5.50,224,0.900,bicubic +SelecSls60b.in1k,93.500,6.500,98.840,1.160,32.77,224,0.875,bicubic +gmlp_s16_224.ra3_in1k,93.500,6.500,98.780,1.220,19.42,224,0.875,bicubic +pvt_v2_b1.in1k,93.490,6.510,98.860,1.140,14.01,224,0.900,bicubic +hrnet_w18.ms_aug_in1k,93.480,6.520,98.980,1.020,21.30,224,0.950,bilinear +mobilevitv2_125.cvnets_in1k,93.480,6.520,98.840,1.160,7.48,256,0.888,bicubic +xception41.tf_in1k,93.480,6.520,98.750,1.250,26.97,299,0.903,bicubic +coat_lite_mini.in1k,93.470,6.530,98.770,1.230,11.01,224,0.900,bicubic +regnety_032.pycls_in1k,93.460,6.540,98.950,1.050,19.44,224,0.875,bicubic +wide_resnet50_2.tv_in1k,93.460,6.540,98.950,1.050,68.88,224,0.875,bilinear +legacy_seresnext50_32x4d.in1k,93.450,6.550,98.800,1.200,27.56,224,0.875,bilinear +cait_xxs24_224.fb_dist_in1k,93.450,6.550,98.780,1.220,11.96,224,1.000,bicubic +vit_small_patch16_224.augreg_in1k,93.450,6.550,98.780,1.220,22.05,224,0.900,bicubic +convnext_femto.d1_in1k,93.440,6.560,98.820,1.180,5.22,288,0.950,bicubic +repvgg_b1.rvgg_in1k,93.440,6.560,98.790,1.210,57.42,224,0.875,bilinear +botnet26t_256.c1_in1k,93.440,6.560,98.650,1.350,12.49,256,0.950,bicubic +lambda_resnet26rpt_256.c1_in1k,93.430,6.570,98.880,1.120,10.99,256,0.940,bicubic +lambda_resnet26t.c1_in1k,93.430,6.570,98.730,1.270,10.96,256,0.940,bicubic vit_tiny_patch16_384.augreg_in21k_ft_in1k,93.420,6.580,98.830,1.170,5.79,384,1.000,bicubic -repvgg_b1,93.410,6.590,98.790,1.210,57.42,224,0.875,bilinear -lambda_resnet26t,93.400,6.600,98.740,1.260,10.96,256,0.940,bicubic +resmlp_24_224.fb_in1k,93.420,6.580,98.810,1.190,30.02,224,0.875,bicubic +legacy_seresnet152.in1k,93.410,6.590,98.850,1.150,66.82,224,0.875,bilinear +hrnet_w30.ms_in1k,93.410,6.590,98.830,1.170,37.71,224,0.875,bilinear +resnet50d.a3_in1k,93.410,6.590,98.750,1.250,25.58,224,0.950,bicubic +res2net50_26w_8s.in1k,93.410,6.590,98.690,1.310,48.40,224,0.875,bilinear convnext_femto_ols.d1_in1k,93.390,6.610,98.910,1.090,5.23,288,0.950,bicubic -dla60_res2net,93.380,6.620,98.860,1.140,20.85,224,0.875,bilinear -hrnet_w30,93.370,6.630,98.830,1.170,37.71,224,0.875,bilinear -eca_botnext26ts_256,93.360,6.640,98.700,1.300,10.59,256,0.950,bicubic -xcit_tiny_12_p16_224_dist,93.350,6.650,98.740,1.260,6.72,224,1.000,bicubic -vit_base_patch16_224.augreg_in1k,93.350,6.650,98.670,1.330,86.57,224,0.900,bicubic -cs3darknet_m,93.280,6.720,98.720,1.280,9.31,288,0.950,bicubic -dla102,93.260,6.740,98.780,1.220,33.27,224,0.875,bilinear -legacy_seresnet101,93.260,6.740,98.740,1.260,49.33,224,0.875,bilinear -mixnet_l.ft_in1k,93.260,6.740,98.700,1.300,7.33,224,0.875,bicubic -xcit_nano_12_p8_384_dist,93.250,6.750,98.850,1.150,3.05,384,1.000,bicubic -regnetx_032,93.250,6.750,98.730,1.270,15.30,224,0.875,bicubic -resnest26d,93.240,6.760,98.850,1.150,17.07,224,0.875,bilinear -pit_xs_distilled_224,93.240,6.760,98.820,1.180,11.00,224,0.900,bicubic -tv_resnet152,93.240,6.760,98.750,1.250,60.19,224,0.875,bilinear -tf_inception_v3,93.200,6.800,98.480,1.520,23.83,299,0.875,bicubic -dla60x,93.190,6.810,98.710,1.290,17.35,224,0.875,bilinear -res2net50_26w_4s,93.180,6.820,98.670,1.330,25.70,224,0.875,bilinear -tf_efficientnet_em.in1k,93.170,6.830,98.670,1.330,6.90,240,0.882,bicubic -mobilevit_s,93.160,6.840,98.770,1.230,5.58,256,0.900,bicubic -vit_base_patch32_384.augreg_in1k,93.160,6.840,98.610,1.390,88.30,384,1.000,bicubic -vit_relpos_base_patch32_plus_rpn_256.sw_in1k,93.160,6.840,98.310,1.690,119.42,256,0.900,bicubic -res2next50,93.150,6.850,98.660,1.340,24.67,224,0.875,bilinear -mobilevitv2_100,93.140,6.860,98.760,1.240,4.90,256,0.888,bicubic -cs3darknet_focus_m,93.110,6.890,98.740,1.260,9.30,288,0.950,bicubic -bat_resnext26ts,93.100,6.900,98.720,1.280,10.73,256,0.900,bicubic +dla60_res2net.in1k,93.370,6.630,98.830,1.170,20.85,224,0.875,bilinear +xcit_tiny_12_p16_224.fb_dist_in1k,93.350,6.650,98.760,1.240,6.72,224,1.000,bicubic +eca_botnext26ts_256.c1_in1k,93.350,6.650,98.690,1.310,10.59,256,0.950,bicubic +seresnext26t_32x4d.bt_in1k,93.350,6.650,98.690,1.310,16.81,288,0.950,bicubic +vit_base_patch16_224.augreg_in1k,93.350,6.650,98.660,1.340,86.57,224,0.900,bicubic +xcit_nano_12_p8_384.fb_dist_in1k,93.300,6.700,98.860,1.140,3.05,384,1.000,bicubic +pit_xs_distilled_224.in1k,93.280,6.720,98.790,1.210,11.00,224,0.900,bicubic +cs3darknet_m.c2ns_in1k,93.280,6.720,98.720,1.280,9.31,288,0.950,bicubic +legacy_seresnet101.in1k,93.270,6.730,98.740,1.260,49.33,224,0.875,bilinear +dla102.in1k,93.250,6.750,98.790,1.210,33.27,224,0.875,bilinear +resnet152.tv_in1k,93.240,6.760,98.750,1.250,60.19,224,0.875,bilinear +regnetx_032.pycls_in1k,93.240,6.760,98.720,1.280,15.30,224,0.875,bicubic +mixnet_l.ft_in1k,93.240,6.760,98.700,1.300,7.33,224,0.875,bicubic +resnest26d.gluon_in1k,93.230,6.770,98.850,1.150,17.07,224,0.875,bilinear +dla60x.in1k,93.190,6.810,98.720,1.280,17.35,224,0.875,bilinear +tf_efficientnet_em.in1k,93.190,6.810,98.660,1.340,6.90,240,0.882,bicubic +inception_v3.tf_in1k,93.190,6.810,98.490,1.510,23.83,299,0.875,bicubic +res2net50_26w_4s.in1k,93.180,6.820,98.660,1.340,25.70,224,0.875,bilinear +regnety_008_tv.tv2_in1k,93.160,6.840,98.680,1.320,6.43,224,0.965,bicubic +mobilevit_s.cvnets_in1k,93.150,6.850,98.780,1.220,5.58,256,0.900,bicubic +res2next50.in1k,93.150,6.850,98.640,1.360,24.67,224,0.875,bilinear +vit_base_patch32_384.augreg_in1k,93.150,6.850,98.610,1.390,88.30,384,1.000,bicubic +mobilevitv2_100.cvnets_in1k,93.140,6.860,98.760,1.240,4.90,256,0.888,bicubic +vit_relpos_base_patch32_plus_rpn_256.sw_in1k,93.140,6.860,98.310,1.690,119.42,256,0.900,bicubic +bat_resnext26ts.ch_in1k,93.120,6.880,98.730,1.270,10.73,256,0.900,bicubic +cs3darknet_focus_m.c2ns_in1k,93.100,6.900,98.750,1.250,9.30,288,0.950,bicubic +seresnext26d_32x4d.bt_in1k,93.060,6.940,98.710,1.290,16.81,288,0.950,bicubic tf_efficientnetv2_b0.in1k,93.060,6.940,98.700,1.300,7.14,224,0.875,bicubic -levit_128,93.050,6.950,98.690,1.310,9.21,224,0.900,bicubic -tf_mixnet_l.in1k,93.040,6.960,98.540,1.460,7.33,224,0.875,bicubic -repvgg_b1g4,93.030,6.970,98.820,1.180,39.97,224,0.875,bilinear -efficientnet_b1.ft_in1k,93.030,6.970,98.710,1.290,7.79,256,1.000,bicubic -res2net50_14w_8s,93.030,6.970,98.700,1.300,25.06,224,0.875,bilinear -selecsls60,93.010,6.990,98.830,1.170,30.67,224,0.875,bicubic -adv_inception_v3,93.010,6.990,98.490,1.510,23.83,299,0.875,bicubic -regnety_016,93.000,7.000,98.680,1.320,11.20,224,0.875,bicubic -convnext_atto_ols.a2_in1k,92.980,7.020,98.680,1.320,3.70,288,0.950,bicubic -hardcorenas_f,92.980,7.020,98.620,1.380,8.20,224,0.875,bilinear +repvgg_b1g4.rvgg_in1k,93.030,6.970,98.820,1.180,39.97,224,0.875,bilinear +levit_128.fb_dist_in1k,93.030,6.970,98.710,1.290,9.21,224,0.900,bicubic +levit_conv_128.fb_dist_in1k,93.030,6.970,98.700,1.300,9.21,224,0.900,bicubic +res2net50_14w_8s.in1k,93.030,6.970,98.700,1.300,25.06,224,0.875,bilinear +densenetblur121d.ra_in1k,93.030,6.970,98.600,1.400,8.00,288,0.950,bicubic +tf_mixnet_l.in1k,93.030,6.970,98.530,1.470,7.33,224,0.875,bicubic +efficientnet_b1.ft_in1k,93.020,6.980,98.710,1.290,7.79,256,1.000,bicubic +regnety_016.pycls_in1k,93.010,6.990,98.670,1.330,11.20,224,0.875,bicubic +SelecSls60.in1k,93.000,7.000,98.820,1.180,30.67,224,0.875,bicubic +resnet34.a1_in1k,93.000,7.000,98.630,1.370,21.80,288,1.000,bicubic +inception_v3.tf_adv_in1k,93.000,7.000,98.490,1.510,23.83,299,0.875,bicubic +visformer_tiny.in1k,92.980,7.020,98.730,1.270,10.32,224,0.900,bicubic +convnext_atto_ols.a2_in1k,92.980,7.020,98.670,1.330,3.70,288,0.950,bicubic +hardcorenas_f.miil_green_in1k,92.980,7.020,98.620,1.380,8.20,224,0.875,bilinear efficientnet_b1_pruned.in1k,92.980,7.020,98.530,1.470,6.33,240,0.882,bicubic -hrnet_w32,92.950,7.050,98.840,1.160,41.23,224,0.875,bilinear -hardcorenas_e,92.950,7.050,98.570,1.430,8.07,224,0.875,bilinear -pit_xs_224,92.910,7.090,98.780,1.220,10.62,224,0.900,bicubic -gluon_resnet50_v1c,92.910,7.090,98.710,1.290,25.58,224,0.875,bicubic -efficientnet_es.ra_in1k,92.910,7.090,98.690,1.310,5.44,224,0.875,bicubic -densenet161,92.900,7.100,98.810,1.190,28.68,224,0.875,bicubic -tv_resnext50_32x4d,92.900,7.100,98.720,1.280,25.03,224,0.875,bilinear -inception_v3,92.900,7.100,98.330,1.670,23.83,299,0.875,bicubic -tv_resnet101,92.880,7.120,98.660,1.340,44.55,224,0.875,bilinear -resmlp_12_distilled_224,92.870,7.130,98.630,1.370,15.35,224,0.875,bicubic +hrnet_w32.ms_in1k,92.960,7.040,98.850,1.150,41.23,224,0.875,bilinear +seresnext26ts.ch_in1k,92.940,7.060,98.670,1.330,10.39,288,1.000,bicubic +tf_efficientnet_b1.in1k,92.940,7.060,98.660,1.340,7.79,240,0.882,bicubic +hardcorenas_e.miil_green_in1k,92.940,7.060,98.580,1.420,8.07,224,0.875,bilinear +resnet50.a3_in1k,92.940,7.060,98.530,1.470,25.56,224,0.950,bicubic +efficientnet_es.ra_in1k,92.920,7.080,98.690,1.310,5.44,224,0.875,bicubic +resnet26t.ra2_in1k,92.920,7.080,98.680,1.320,16.01,320,1.000,bicubic +convnextv2_atto.fcmae_ft_in1k,92.920,7.080,98.560,1.440,3.71,288,0.950,bicubic +resnet50c.gluon_in1k,92.910,7.090,98.700,1.300,25.58,224,0.875,bicubic +resnext50_32x4d.tv_in1k,92.900,7.100,98.730,1.270,25.03,224,0.875,bilinear +inception_v3.tv_in1k,92.900,7.100,98.320,1.680,23.83,299,0.875,bicubic +densenet161.tv_in1k,92.890,7.110,98.790,1.210,28.68,224,0.875,bicubic +pit_xs_224.in1k,92.890,7.110,98.770,1.230,10.62,224,0.900,bicubic +poolformerv2_s12.sail_in1k,92.890,7.110,98.530,1.470,11.89,224,1.000,bicubic +resnet101.tv_in1k,92.880,7.120,98.660,1.340,44.55,224,0.875,bilinear +resmlp_12_224.fb_distilled_in1k,92.870,7.130,98.620,1.380,15.35,224,0.875,bicubic tf_efficientnet_cc_b0_8e.in1k,92.870,7.130,98.460,1.540,24.01,224,0.875,bicubic -coat_lite_tiny,92.850,7.150,98.640,1.360,5.72,224,0.900,bicubic -rexnet_100,92.850,7.150,98.620,1.380,4.80,224,0.875,bicubic -tf_efficientnet_cc_b0_4e.in1k,92.840,7.160,98.440,1.560,13.31,224,0.875,bicubic -seresnext26ts,92.830,7.170,98.600,1.400,10.39,256,0.900,bicubic -seresnext26t_32x4d,92.820,7.180,98.560,1.440,16.81,224,0.875,bicubic +coat_lite_tiny.in1k,92.860,7.140,98.630,1.370,5.72,224,0.900,bicubic +rexnet_100.nav_in1k,92.830,7.170,98.600,1.400,4.80,224,0.875,bicubic +tf_efficientnet_cc_b0_4e.in1k,92.820,7.180,98.440,1.560,13.31,224,0.875,bicubic tinynet_a.in1k,92.800,7.200,98.560,1.440,6.19,192,0.875,bicubic -res2net50_48w_2s,92.790,7.210,98.470,1.530,25.29,224,0.875,bilinear -hrnet_w18,92.760,7.240,98.660,1.340,21.30,224,0.875,bilinear -convnext_atto.d2_in1k,92.760,7.240,98.610,1.390,3.70,288,0.950,bicubic -crossvit_9_dagger_240,92.760,7.240,98.510,1.490,8.78,240,0.875,bicubic -densenet201,92.690,7.310,98.650,1.350,20.01,224,0.875,bicubic -resnet26t,92.680,7.320,98.580,1.420,16.01,256,0.940,bicubic -repvgg_a2,92.680,7.320,98.520,1.480,28.21,224,0.875,bilinear -gmixer_24_224,92.680,7.320,98.280,1.720,24.72,224,0.875,bicubic -legacy_seresnet50,92.670,7.330,98.650,1.350,28.09,224,0.875,bilinear -dla60,92.670,7.330,98.630,1.370,22.04,224,0.875,bilinear -resnet34d,92.640,7.360,98.420,1.580,21.82,224,0.875,bicubic +dpn68b.mx_in1k,92.790,7.210,98.520,1.480,12.61,224,0.875,bicubic +res2net50_48w_2s.in1k,92.780,7.220,98.470,1.530,25.29,224,0.875,bilinear +hrnet_w18.ms_in1k,92.770,7.230,98.660,1.340,21.30,224,0.875,bilinear +convnext_atto.d2_in1k,92.770,7.230,98.620,1.380,3.70,288,0.950,bicubic +ese_vovnet19b_dw.ra_in1k,92.760,7.240,98.650,1.350,6.54,288,0.950,bicubic +crossvit_9_dagger_240.in1k,92.760,7.240,98.490,1.510,8.78,240,0.875,bicubic +eca_resnext26ts.ch_in1k,92.750,7.250,98.710,1.290,10.30,288,1.000,bicubic +gcresnext26ts.ch_in1k,92.740,7.260,98.610,1.390,10.48,288,1.000,bicubic +densenet201.tv_in1k,92.700,7.300,98.640,1.360,20.01,224,0.875,bicubic +densenet121.ra_in1k,92.700,7.300,98.600,1.400,7.98,288,0.950,bicubic +repvgg_a2.rvgg_in1k,92.680,7.320,98.530,1.470,28.21,224,0.875,bilinear +gmixer_24_224.ra3_in1k,92.680,7.320,98.280,1.720,24.72,224,0.875,bicubic +legacy_seresnet50.in1k,92.670,7.330,98.650,1.350,28.09,224,0.875,bilinear +dla60.in1k,92.640,7.360,98.630,1.370,22.04,224,0.875,bilinear +tf_efficientnet_b0.ap_in1k,92.620,7.380,98.370,1.630,5.29,224,0.875,bicubic mobilenetv2_120d.ra_in1k,92.610,7.390,98.510,1.490,5.83,224,0.875,bicubic -tf_efficientnet_b0.ap_in1k,92.610,7.390,98.370,1.630,5.29,224,0.875,bicubic -hardcorenas_d,92.600,7.400,98.430,1.570,7.50,224,0.875,bilinear -tf_efficientnet_lite2.in1k,92.590,7.410,98.550,1.450,6.09,260,0.890,bicubic -skresnet34,92.570,7.430,98.520,1.480,22.28,224,0.875,bicubic -legacy_seresnext26_32x4d,92.570,7.430,98.420,1.580,16.79,224,0.875,bicubic -gluon_resnet50_v1b,92.560,7.440,98.550,1.450,25.56,224,0.875,bicubic -regnetx_016,92.540,7.460,98.550,1.450,9.19,224,0.875,bicubic +hardcorenas_d.miil_green_in1k,92.610,7.390,98.430,1.570,7.50,224,0.875,bilinear +legacy_seresnext26_32x4d.in1k,92.600,7.400,98.410,1.590,16.79,224,0.875,bicubic +tf_efficientnet_lite2.in1k,92.590,7.410,98.540,1.460,6.09,260,0.890,bicubic +resnet34.a2_in1k,92.570,7.430,98.570,1.430,21.80,288,1.000,bicubic +skresnet34.ra_in1k,92.570,7.430,98.520,1.480,22.28,224,0.875,bicubic +resnet50.gluon_in1k,92.560,7.440,98.550,1.450,25.56,224,0.875,bicubic +resnet26d.bt_in1k,92.550,7.450,98.650,1.350,16.01,288,0.950,bicubic +regnetx_016.pycls_in1k,92.530,7.470,98.550,1.450,9.19,224,0.875,bicubic +poolformer_s12.sail_in1k,92.500,7.500,98.400,1.600,11.92,224,0.900,bicubic +regnetx_008.tv2_in1k,92.490,7.510,98.430,1.570,7.26,224,0.965,bicubic efficientnet_b0.ra_in1k,92.480,7.520,98.680,1.320,5.29,224,0.875,bicubic -selecsls42b,92.480,7.520,98.440,1.560,32.46,224,0.875,bicubic -poolformer_s12,92.470,7.530,98.350,1.650,11.92,224,0.900,bicubic -xcit_tiny_12_p16_224,92.460,7.540,98.630,1.370,6.72,224,1.000,bicubic -gcresnext26ts,92.460,7.540,98.490,1.510,10.48,256,0.900,bicubic -seresnext26d_32x4d,92.440,7.560,98.540,1.460,16.81,224,0.875,bicubic -gernet_s,92.440,7.560,98.500,1.500,8.17,224,0.875,bilinear -xcit_nano_12_p8_224_dist,92.430,7.570,98.530,1.470,3.05,224,1.000,bicubic -eca_resnext26ts,92.420,7.580,98.620,1.380,10.30,256,0.900,bicubic +xcit_tiny_12_p16_224.fb_in1k,92.480,7.520,98.630,1.370,6.72,224,1.000,bicubic +SelecSls42b.in1k,92.480,7.520,98.430,1.570,32.46,224,0.875,bicubic +gernet_s.idstcv_in1k,92.440,7.560,98.500,1.500,8.17,224,0.875,bilinear +xcit_nano_12_p8_224.fb_dist_in1k,92.430,7.570,98.530,1.470,3.05,224,1.000,bicubic tf_efficientnet_b0.aa_in1k,92.400,7.600,98.470,1.530,5.29,224,0.875,bicubic -densenetblur121d,92.400,7.600,98.410,1.590,8.00,224,0.875,bicubic -convmixer_1024_20_ks9_p14,92.340,7.660,98.430,1.570,24.38,224,0.960,bicubic -hardcorenas_c,92.330,7.670,98.340,1.660,5.52,224,0.875,bilinear -tf_efficientnet_lite1.in1k,92.310,7.690,98.490,1.510,5.42,240,0.882,bicubic -densenet169,92.300,7.700,98.590,1.410,14.15,224,0.875,bicubic -mixnet_m.ft_in1k,92.270,7.730,98.350,1.650,5.01,224,0.875,bicubic -mobilenetv3_large_100.miil_in21k_ft_in1k,92.250,7.750,98.250,1.750,5.48,224,0.875,bilinear -dpn68,92.240,7.760,98.610,1.390,12.61,224,0.875,bicubic -resnet26d,92.230,7.770,98.450,1.550,16.01,224,0.875,bicubic -resnext26ts,92.210,7.790,98.250,1.750,10.30,256,0.900,bicubic -tf_mixnet_m.in1k,92.200,7.800,98.420,1.580,5.01,224,0.875,bicubic -vit_small_patch32_224.augreg_in21k_ft_in1k,92.150,7.850,98.510,1.490,22.88,224,0.900,bicubic -tv_resnet50,92.140,7.860,98.420,1.580,25.56,224,0.875,bilinear -resmlp_12_224,92.120,7.880,98.570,1.430,15.35,224,0.875,bicubic -xcit_nano_12_p16_384_dist,92.110,7.890,98.520,1.480,3.05,384,1.000,bicubic -tf_efficientnet_es.in1k,92.100,7.900,98.440,1.560,5.44,224,0.875,bicubic -mobilenetv2_140.ra_in1k,92.030,7.970,98.250,1.750,6.11,224,0.875,bicubic -ese_vovnet19b_dw,92.010,7.990,98.510,1.490,6.54,224,0.875,bicubic -mobilevitv2_075,91.980,8.020,98.300,1.700,2.87,256,0.888,bicubic -hardcorenas_b,91.940,8.060,98.400,1.600,5.18,224,0.875,bilinear -densenet121,91.940,8.060,98.280,1.720,7.98,224,0.875,bicubic -vit_tiny_patch16_224.augreg_in21k_ft_in1k,91.930,8.070,98.340,1.660,5.72,224,0.900,bicubic -regnety_008,91.900,8.100,98.420,1.580,6.26,224,0.875,bicubic -mixnet_s.ft_in1k,91.780,8.220,98.300,1.700,4.13,224,0.875,bicubic +resnext26ts.ra2_in1k,92.380,7.620,98.390,1.610,10.30,288,1.000,bicubic +seresnet50.a3_in1k,92.360,7.640,98.330,1.670,28.09,224,0.950,bicubic +hardcorenas_c.miil_green_in1k,92.350,7.650,98.340,1.660,5.52,224,0.875,bilinear +convmixer_1024_20_ks9_p14.in1k,92.330,7.670,98.430,1.570,24.38,224,0.960,bicubic +dpn68.mx_in1k,92.300,7.700,98.610,1.390,12.61,224,0.875,bicubic +densenet169.tv_in1k,92.300,7.700,98.590,1.410,14.15,224,0.875,bicubic +tf_efficientnet_lite1.in1k,92.290,7.710,98.500,1.500,5.42,240,0.882,bicubic +resnet34.bt_in1k,92.280,7.720,98.600,1.400,21.80,288,0.950,bicubic +tf_efficientnet_b0.in1k,92.280,7.720,98.550,1.450,5.29,224,0.875,bicubic +mixnet_m.ft_in1k,92.270,7.730,98.360,1.640,5.01,224,0.875,bicubic +mobilenetv3_large_100.miil_in21k_ft_in1k,92.260,7.740,98.240,1.760,5.48,224,0.875,bilinear +tf_mixnet_m.in1k,92.210,7.790,98.420,1.580,5.01,224,0.875,bicubic +vit_small_patch32_224.augreg_in21k_ft_in1k,92.140,7.860,98.520,1.480,22.88,224,0.900,bicubic +xcit_nano_12_p16_384.fb_dist_in1k,92.140,7.860,98.510,1.490,3.05,384,1.000,bicubic +resmlp_12_224.fb_in1k,92.120,7.880,98.570,1.430,15.35,224,0.875,bicubic +resnet26.bt_in1k,92.120,7.880,98.550,1.450,16.00,288,0.950,bicubic +resnet50.tv_in1k,92.120,7.880,98.410,1.590,25.56,224,0.875,bilinear +tf_efficientnet_es.in1k,92.110,7.890,98.430,1.570,5.44,224,0.875,bicubic +mobilenetv2_140.ra_in1k,92.050,7.950,98.250,1.750,6.11,224,0.875,bicubic +mobilevitv2_075.cvnets_in1k,91.970,8.030,98.300,1.700,2.87,256,0.888,bicubic +hardcorenas_b.miil_green_in1k,91.920,8.080,98.410,1.590,5.18,224,0.875,bilinear +vit_tiny_patch16_224.augreg_in21k_ft_in1k,91.920,8.080,98.340,1.660,5.72,224,0.900,bicubic +regnety_008.pycls_in1k,91.890,8.110,98.410,1.590,6.26,224,0.875,bicubic +efficientformerv2_s0.snap_dist_in1k,91.870,8.130,98.370,1.630,3.60,224,0.950,bicubic +mixnet_s.ft_in1k,91.770,8.230,98.310,1.690,4.13,224,0.875,bicubic vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k,91.730,8.270,98.430,1.570,6.36,384,1.000,bicubic -efficientnet_es_pruned.in1k,91.700,8.300,98.420,1.580,5.44,224,0.875,bicubic -repvgg_b0,91.680,8.320,98.450,1.550,15.82,224,0.875,bilinear +efficientnet_es_pruned.in1k,91.690,8.310,98.410,1.590,5.44,224,0.875,bicubic +repvgg_b0.rvgg_in1k,91.680,8.320,98.450,1.550,15.82,224,0.875,bilinear tf_mixnet_s.in1k,91.680,8.320,98.240,1.760,4.13,224,0.875,bicubic -semnasnet_100.rmsp_in1k,91.660,8.340,98.270,1.730,3.89,224,0.875,bicubic -hardcorenas_a,91.620,8.380,98.170,1.830,5.26,224,0.875,bilinear -regnety_006,91.570,8.430,98.430,1.570,6.06,224,0.875,bicubic -edgenext_x_small,91.570,8.430,98.180,1.820,2.34,288,1.000,bicubic -mobilenetv3_rw.rmsp_in1k,91.550,8.450,98.270,1.730,5.48,224,0.875,bicubic -levit_128s,91.500,8.500,98.400,1.600,7.78,224,0.900,bicubic -mobilenetv3_large_100.ra_in1k,91.480,8.520,98.320,1.680,5.48,224,0.875,bicubic -legacy_seresnet34,91.480,8.520,98.200,1.800,21.96,224,0.875,bilinear -resnet26,91.440,8.560,98.280,1.720,16.00,224,0.875,bicubic +semnasnet_100.rmsp_in1k,91.670,8.330,98.290,1.710,3.89,224,0.875,bicubic +regnety_004.tv2_in1k,91.620,8.380,98.290,1.710,4.34,224,0.965,bicubic +hardcorenas_a.miil_green_in1k,91.620,8.380,98.170,1.830,5.26,224,0.875,bilinear +edgenext_x_small.in1k,91.580,8.420,98.190,1.810,2.34,288,1.000,bicubic +regnety_006.pycls_in1k,91.560,8.440,98.430,1.570,6.06,224,0.875,bicubic +mobilenetv3_rw.rmsp_in1k,91.550,8.450,98.280,1.720,5.48,224,0.875,bicubic +levit_128s.fb_dist_in1k,91.510,8.490,98.400,1.600,7.78,224,0.900,bicubic +levit_conv_128s.fb_dist_in1k,91.500,8.500,98.400,1.600,7.78,224,0.900,bicubic +legacy_seresnet34.in1k,91.490,8.510,98.200,1.800,21.96,224,0.875,bilinear +mobilenetv3_large_100.ra_in1k,91.470,8.530,98.320,1.680,5.48,224,0.875,bicubic tf_mobilenetv3_large_100.in1k,91.420,8.580,98.260,1.740,5.48,224,0.875,bilinear -tv_densenet121,91.400,8.600,98.250,1.750,7.98,224,0.875,bicubic -mobilenetv2_110d.ra_in1k,91.350,8.650,98.190,1.810,4.52,224,0.875,bicubic -tf_efficientnet_lite0.in1k,91.300,8.700,98.090,1.910,4.65,224,0.875,bicubic -fbnetc_100.rmsp_in1k,91.270,8.730,97.830,2.170,5.57,224,0.875,bilinear -efficientnet_lite0.ra_in1k,91.260,8.740,98.250,1.750,4.65,224,0.875,bicubic -dla34,91.240,8.760,98.180,1.820,15.74,224,0.875,bilinear -resnet34,91.200,8.800,98.240,1.760,21.80,224,0.875,bilinear -mnasnet_100.rmsp_in1k,91.200,8.800,98.050,1.950,4.38,224,0.875,bicubic -mobilevit_xs,91.190,8.810,98.220,1.780,2.32,256,0.900,bicubic -regnetx_008,91.180,8.820,98.380,1.620,7.26,224,0.875,bicubic -hrnet_w18_small_v2,91.170,8.830,98.340,1.660,15.60,224,0.875,bilinear -mixer_b16_224,91.140,8.860,97.400,2.600,59.88,224,0.875,bicubic -resnest14d,91.130,8.870,98.330,1.670,10.61,224,0.875,bilinear -xcit_nano_12_p8_224,91.120,8.880,98.240,1.760,3.05,224,1.000,bicubic -tinynet_b.in1k,91.120,8.880,98.070,1.930,3.73,188,0.875,bicubic -deit_tiny_distilled_patch16_224,91.100,8.900,98.270,1.730,5.91,224,0.900,bicubic -gluon_resnet34_v1b,91.100,8.900,98.180,1.820,21.80,224,0.875,bicubic -swsl_resnet18,91.090,8.910,98.210,1.790,11.69,224,0.875,bilinear -crossvit_9_240,91.050,8.950,98.310,1.690,8.55,240,0.875,bicubic -vgg19_bn,90.990,9.010,98.110,1.890,143.68,224,0.875,bilinear -pit_ti_distilled_224,90.900,9.100,98.220,1.780,5.10,224,0.900,bicubic -regnety_004,90.780,9.220,98.080,1.920,4.34,224,0.875,bicubic -regnetx_006,90.760,9.240,98.100,1.900,6.20,224,0.875,bicubic -ssl_resnet18,90.700,9.300,98.020,1.980,11.69,224,0.875,bilinear -spnasnet_100.rmsp_in1k,90.610,9.390,97.950,2.050,4.42,224,0.875,bilinear +densenet121.tv_in1k,91.400,8.600,98.250,1.750,7.98,224,0.875,bicubic +mobilenetv2_110d.ra_in1k,91.330,8.670,98.190,1.810,4.52,224,0.875,bicubic +tf_efficientnet_lite0.in1k,91.280,8.720,98.090,1.910,4.65,224,0.875,bicubic +fbnetc_100.rmsp_in1k,91.280,8.720,97.840,2.160,5.57,224,0.875,bilinear +efficientnet_lite0.ra_in1k,91.260,8.740,98.240,1.760,4.65,224,0.875,bicubic +dla34.in1k,91.220,8.780,98.170,1.830,15.74,224,0.875,bilinear +mobilevit_xs.cvnets_in1k,91.210,8.790,98.220,1.780,2.32,256,0.900,bicubic +mnasnet_100.rmsp_in1k,91.210,8.790,98.060,1.940,4.38,224,0.875,bicubic +regnetx_008.pycls_in1k,91.180,8.820,98.370,1.630,7.26,224,0.875,bicubic +hrnet_w18_small_v2.ms_in1k,91.160,8.840,98.340,1.660,15.60,224,0.875,bilinear +regnetx_004_tv.tv2_in1k,91.160,8.840,98.110,1.890,5.50,224,0.965,bicubic +resnest14d.gluon_in1k,91.150,8.850,98.330,1.670,10.61,224,0.875,bilinear +mixer_b16_224.goog_in21k_ft_in1k,91.140,8.860,97.400,2.600,59.88,224,0.875,bicubic +tinynet_b.in1k,91.120,8.880,98.060,1.940,3.73,188,0.875,bicubic +xcit_nano_12_p8_224.fb_in1k,91.100,8.900,98.230,1.770,3.05,224,1.000,bicubic +resnet34.gluon_in1k,91.090,8.910,98.170,1.830,21.80,224,0.875,bicubic +deit_tiny_distilled_patch16_224.fb_in1k,91.080,8.920,98.270,1.730,5.91,224,0.900,bicubic +resnet18.fb_swsl_ig1b_ft_in1k,91.080,8.920,98.200,1.800,11.69,224,0.875,bilinear +crossvit_9_240.in1k,91.060,8.940,98.300,1.700,8.55,240,0.875,bicubic +vgg19_bn.tv_in1k,90.990,9.010,98.100,1.900,143.68,224,0.875,bilinear +resnet18d.ra2_in1k,90.800,9.200,98.160,1.840,11.71,288,0.950,bicubic +regnetx_006.pycls_in1k,90.790,9.210,98.090,1.910,6.20,224,0.875,bicubic +regnety_004.pycls_in1k,90.770,9.230,98.070,1.930,4.34,224,0.875,bicubic +pit_ti_distilled_224.in1k,90.730,9.270,98.250,1.750,5.10,224,0.900,bicubic +resnet18.fb_ssl_yfcc100m_ft_in1k,90.700,9.300,98.030,1.970,11.69,224,0.875,bilinear +spnasnet_100.rmsp_in1k,90.590,9.410,97.950,2.050,4.42,224,0.875,bilinear vit_base_patch32_224.augreg_in1k,90.590,9.410,97.720,2.280,88.22,224,0.900,bicubic -vgg16_bn,90.540,9.460,97.990,2.010,138.37,224,0.875,bilinear -crossvit_tiny_240,90.540,9.460,97.940,2.060,7.01,240,0.875,bicubic -convit_tiny,90.530,9.470,98.210,1.790,5.71,224,0.875,bicubic -ghostnet_100,90.440,9.560,97.830,2.170,5.18,224,0.875,bilinear -pit_ti_224,90.420,9.580,98.010,1.990,4.85,224,0.900,bicubic -tf_mobilenetv3_large_075.in1k,90.320,9.680,97.870,2.130,3.99,224,0.875,bilinear -tv_resnet34,90.290,9.710,97.980,2.020,21.80,224,0.875,bilinear -semnasnet_075.rmsp_in1k,90.200,9.800,97.970,2.030,2.91,224,0.875,bicubic -skresnet18,90.160,9.840,97.780,2.220,11.96,224,0.875,bicubic -xcit_nano_12_p16_224_dist,90.150,9.850,97.760,2.240,3.05,224,1.000,bicubic -resnet18d,89.990,10.010,97.830,2.170,11.71,224,0.875,bicubic -hrnet_w18_small,89.880,10.120,97.900,2.100,13.19,224,0.875,bilinear -vit_base_patch32_224.sam,89.860,10.140,97.600,2.400,88.22,224,0.900,bicubic -mobilenetv2_100.ra_in1k,89.830,10.170,97.830,2.170,3.50,224,0.875,bicubic -edgenext_xx_small,89.780,10.220,97.520,2.480,1.33,288,1.000,bicubic -vgg19,89.680,10.320,97.550,2.450,143.67,224,0.875,bilinear -deit_tiny_patch16_224,89.620,10.380,97.960,2.040,5.72,224,0.900,bicubic -regnetx_004,89.460,10.540,97.770,2.230,5.16,224,0.875,bicubic -vgg16,89.360,10.640,97.520,2.480,138.36,224,0.875,bilinear +convit_tiny.fb_in1k,90.550,9.450,98.190,1.810,5.71,224,0.875,bicubic +vgg16_bn.tv_in1k,90.540,9.460,97.990,2.010,138.37,224,0.875,bilinear +crossvit_tiny_240.in1k,90.530,9.470,97.950,2.050,7.01,240,0.875,bicubic +ghostnet_100.in1k,90.450,9.550,97.820,2.180,5.18,224,0.875,bilinear +pit_ti_224.in1k,90.420,9.580,98.010,1.990,4.85,224,0.900,bicubic +tf_mobilenetv3_large_075.in1k,90.330,9.670,97.870,2.130,3.99,224,0.875,bilinear +resnet34.tv_in1k,90.300,9.700,97.970,2.030,21.80,224,0.875,bilinear +resnet34.a3_in1k,90.240,9.760,97.880,2.120,21.80,224,0.950,bicubic +semnasnet_075.rmsp_in1k,90.220,9.780,97.950,2.050,2.91,224,0.875,bicubic +resnet18.a1_in1k,90.200,9.800,97.760,2.240,11.69,288,1.000,bicubic +xcit_nano_12_p16_224.fb_dist_in1k,90.190,9.810,97.750,2.250,3.05,224,1.000,bicubic +skresnet18.ra_in1k,90.180,9.820,97.780,2.220,11.96,224,0.875,bicubic +hrnet_w18_small.ms_in1k,89.870,10.130,97.890,2.110,13.19,224,0.875,bilinear +vit_base_patch32_224.sam_in1k,89.870,10.130,97.600,2.400,88.22,224,0.900,bicubic +mobilenetv2_100.ra_in1k,89.850,10.150,97.830,2.170,3.50,224,0.875,bicubic +edgenext_xx_small.in1k,89.800,10.200,97.500,2.500,1.33,288,1.000,bicubic +vgg19.tv_in1k,89.680,10.320,97.550,2.450,143.67,224,0.875,bilinear +deit_tiny_patch16_224.fb_in1k,89.610,10.390,97.960,2.040,5.72,224,0.900,bicubic +resnet18.a2_in1k,89.480,10.520,97.630,2.370,11.69,288,1.000,bicubic +regnetx_004.pycls_in1k,89.460,10.540,97.760,2.240,5.16,224,0.875,bicubic +vgg16.tv_in1k,89.370,10.630,97.520,2.480,138.36,224,0.875,bilinear vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k,89.340,10.660,97.700,2.300,6.34,224,0.900,bicubic -legacy_seresnet18,89.270,10.730,97.680,2.320,11.78,224,0.875,bicubic -vgg13_bn,89.200,10.800,97.530,2.470,133.05,224,0.875,bilinear -tf_mobilenetv3_large_minimal_100.in1k,89.180,10.820,97.320,2.680,3.92,224,0.875,bilinear -resnet14t,89.110,10.890,97.370,2.630,10.08,224,0.950,bilinear -mobilevitv2_050,89.030,10.970,97.590,2.410,1.37,256,0.888,bicubic -pvt_v2_b0,88.980,11.020,97.690,2.310,3.67,224,0.900,bicubic -xcit_nano_12_p16_224,88.960,11.040,97.390,2.610,3.05,224,1.000,bicubic -lcnet_100.ra2_in1k,88.960,11.040,97.360,2.640,2.95,224,0.875,bicubic -gluon_resnet18_v1b,88.660,11.340,97.100,2.900,11.69,224,0.875,bicubic -tinynet_c.in1k,88.420,11.580,97.270,2.730,2.46,184,0.875,bicubic -vgg11_bn,88.390,11.610,97.270,2.730,132.87,224,0.875,bilinear -regnety_002,88.200,11.800,97.430,2.570,3.16,224,0.875,bicubic -resnet18,88.150,11.850,97.120,2.880,11.69,224,0.875,bilinear -mobilevit_xxs,87.950,12.050,97.180,2.820,1.27,256,0.900,bicubic -vgg13,87.570,12.430,97.120,2.880,133.05,224,0.875,bilinear -regnetx_002,87.380,12.620,96.990,3.010,2.68,224,0.875,bicubic -vgg11,87.340,12.660,97.110,2.890,132.86,224,0.875,bilinear -dla60x_c,87.110,12.890,97.140,2.860,1.32,224,0.875,bilinear -mixer_l16_224,86.970,13.030,94.060,5.940,208.20,224,0.875,bicubic -lcnet_075.ra2_in1k,86.940,13.060,96.530,3.470,2.36,224,0.875,bicubic -resnet10t,86.690,13.310,96.670,3.330,5.44,224,0.950,bilinear -mobilenetv3_small_100.lamb_in1k,86.170,13.830,96.470,3.530,2.54,224,0.875,bicubic -tf_mobilenetv3_small_100.in1k,85.960,14.040,96.400,3.600,2.54,224,0.875,bilinear -mnasnet_small.lamb_in1k,85.510,14.490,95.980,4.020,2.03,224,0.875,bicubic -dla46x_c,85.480,14.520,96.440,3.560,1.07,224,0.875,bilinear -tinynet_d.in1k,85.430,14.570,96.010,3.990,2.34,152,0.875,bicubic +legacy_seresnet18.in1k,89.260,10.740,97.690,2.310,11.78,224,0.875,bicubic +resnet14t.c3_in1k,89.250,10.750,97.440,2.560,10.08,224,0.950,bicubic +vgg13_bn.tv_in1k,89.200,10.800,97.530,2.470,133.05,224,0.875,bilinear +tf_mobilenetv3_large_minimal_100.in1k,89.160,10.840,97.310,2.690,3.92,224,0.875,bilinear +mobilevitv2_050.cvnets_in1k,89.030,10.970,97.590,2.410,1.37,256,0.888,bicubic +pvt_v2_b0.in1k,88.970,11.030,97.690,2.310,3.67,224,0.900,bicubic +xcit_nano_12_p16_224.fb_in1k,88.970,11.030,97.410,2.590,3.05,224,1.000,bicubic +lcnet_100.ra2_in1k,88.910,11.090,97.380,2.620,2.95,224,0.875,bicubic +resnet18.gluon_in1k,88.660,11.340,97.090,2.910,11.69,224,0.875,bicubic +tinynet_c.in1k,88.400,11.600,97.260,2.740,2.46,184,0.875,bicubic +vgg11_bn.tv_in1k,88.400,11.600,97.250,2.750,132.87,224,0.875,bilinear +regnety_002.pycls_in1k,88.190,11.810,97.440,2.560,3.16,224,0.875,bicubic +resnet18.tv_in1k,88.150,11.850,97.120,2.880,11.69,224,0.875,bilinear +mobilevit_xxs.cvnets_in1k,87.930,12.070,97.190,2.810,1.27,256,0.900,bicubic +vgg13.tv_in1k,87.570,12.430,97.110,2.890,133.05,224,0.875,bilinear +regnetx_002.pycls_in1k,87.360,12.640,97.000,3.000,2.68,224,0.875,bicubic +vgg11.tv_in1k,87.350,12.650,97.100,2.900,132.86,224,0.875,bilinear +dla60x_c.in1k,87.130,12.870,97.140,2.860,1.32,224,0.875,bilinear +resnet18.a3_in1k,87.070,12.930,96.660,3.340,11.69,224,0.950,bicubic +mixer_l16_224.goog_in21k_ft_in1k,86.990,13.010,94.070,5.930,208.20,224,0.875,bicubic +lcnet_075.ra2_in1k,86.960,13.040,96.550,3.450,2.36,224,0.875,bicubic +resnet10t.c3_in1k,86.680,13.320,96.730,3.270,5.44,224,0.950,bicubic +mobilenetv3_small_100.lamb_in1k,86.180,13.820,96.450,3.550,2.54,224,0.875,bicubic +tf_mobilenetv3_small_100.in1k,85.940,14.060,96.400,3.600,2.54,224,0.875,bilinear +mnasnet_small.lamb_in1k,85.480,14.520,96.000,4.000,2.03,224,0.875,bicubic +tinynet_d.in1k,85.440,14.560,96.020,3.980,2.34,152,0.875,bicubic +dla46x_c.in1k,85.430,14.570,96.430,3.570,1.07,224,0.875,bilinear mobilenetv2_050.lamb_in1k,84.990,15.010,95.620,4.380,1.97,224,0.875,bicubic -dla46_c,84.660,15.340,96.200,3.800,1.30,224,0.875,bilinear -tf_mobilenetv3_small_075.in1k,84.530,15.470,95.890,4.110,2.04,224,0.875,bilinear -mobilenetv3_small_075.lamb_in1k,84.120,15.880,95.500,4.500,2.04,224,0.875,bicubic -lcnet_050.ra2_in1k,83.000,17.000,95.010,4.990,1.88,224,0.875,bicubic -tf_mobilenetv3_small_minimal_100.in1k,82.670,17.330,95.000,5.000,2.04,224,0.875,bilinear -tinynet_e.in1k,79.810,20.190,93.980,6.020,2.04,106,0.875,bicubic -mobilenetv3_small_050.lamb_in1k,78.100,21.900,93.010,6.990,1.59,224,0.875,bicubic +dla46_c.in1k,84.700,15.300,96.210,3.790,1.30,224,0.875,bilinear +tf_mobilenetv3_small_075.in1k,84.500,15.500,95.880,4.120,2.04,224,0.875,bilinear +mobilenetv3_small_075.lamb_in1k,84.120,15.880,95.520,4.480,2.04,224,0.875,bicubic +lcnet_050.ra2_in1k,83.030,16.970,95.000,5.000,1.88,224,0.875,bicubic +tf_mobilenetv3_small_minimal_100.in1k,82.670,17.330,95.020,4.980,2.04,224,0.875,bilinear +tinynet_e.in1k,79.820,20.180,93.970,6.030,2.04,106,0.875,bicubic +mobilenetv3_small_050.lamb_in1k,78.090,21.910,93.010,6.990,1.59,224,0.875,bicubic diff --git a/results/results-imagenet-r.csv b/results/results-imagenet-r.csv index 9e2fee5ba2..8abcca6dc4 100644 --- a/results/results-imagenet-r.csv +++ b/results/results-imagenet-r.csv @@ -1,791 +1,1004 @@ model,top1,top1_err,top5,top5_err,param_count,img_size,crop_pct,interpolation,top1_diff,top5_diff,rank_diff -eva_giant_patch14_336.clip_ft_in1k,90.553,9.447,97.230,2.770,"1,013.01",336,1.000,bicubic,-7.307,-2.650,+3 -eva_giant_patch14_224.clip_ft_in1k,90.227,9.773,97.173,2.827,"1,012.56",224,1.000,bicubic,-7.453,-2.577,+12 -eva_giant_patch14_336.m30m_ft_in22k_in1k,88.583,11.417,95.930,4.070,"1,013.01",336,1.000,bicubic,-9.417,-3.970,-2 -eva_giant_patch14_560.m30m_ft_in22k_in1k,88.410,11.590,95.613,4.387,"1,014.45",560,1.000,bicubic,-9.580,-4.247,-2 -vit_large_patch14_clip_336.openai_ft_in12k_in1k,83.910,16.090,93.880,6.120,304.53,336,1.000,bicubic,-13.700,-5.850,+14 -vit_large_patch14_clip_336.laion2b_ft_in1k,83.587,16.413,93.507,6.493,304.53,336,1.000,bicubic,-13.643,-6.213,+39 -eva_large_patch14_336.in22k_ft_in1k,83.523,16.477,93.100,6.900,304.53,336,1.000,bicubic,-14.287,-6.690,-2 -vit_huge_patch14_clip_224.laion2b_ft_in1k,83.280,16.720,93.103,6.897,632.05,224,1.000,bicubic,-13.820,-6.537,+48 -vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,83.063,16.937,92.850,7.150,632.46,336,1.000,bicubic,-14.537,-6.930,+11 -vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k,82.810,17.190,92.620,7.380,632.05,224,1.000,bicubic,-14.550,-7.180,+21 -vit_large_patch14_clip_224.openai_ft_in1k,82.317,17.683,92.913,7.087,304.20,224,1.000,bicubic,-15.143,-6.767,+15 -vit_large_patch14_clip_224.laion2b_ft_in1k,81.703,18.297,92.270,7.730,304.20,224,1.000,bicubic,-15.317,-7.410,+53 -eva_large_patch14_196.in22k_ft_in1k,81.290,18.710,91.550,8.450,304.14,196,1.000,bicubic,-16.230,-8.240,+11 -eva_large_patch14_336.in22k_ft_in22k_in1k,80.077,19.923,89.363,10.637,304.53,336,1.000,bicubic,-17.783,-10.427,-11 -ig_resnext101_32x48d,79.650,20.350,89.393,10.607,828.41,224,0.875,bilinear,-17.320,-10.277,+52 -ig_resnext101_32x32d,79.457,20.543,89.183,10.817,468.53,224,0.875,bilinear,-17.323,-10.427,+76 -ig_resnext101_32x16d,78.837,21.163,88.480,11.520,194.03,224,0.875,bilinear,-17.603,-11.060,+118 -vit_large_patch14_clip_224.openai_ft_in12k_in1k,78.687,21.313,88.920,11.080,304.20,224,1.000,bicubic,-18.923,-10.810,0 -eva_large_patch14_196.in22k_ft_in22k_in1k,78.503,21.497,88.320,11.680,304.14,196,1.000,bicubic,-19.107,-11.490,-2 -vit_large_patch14_clip_336.laion2b_ft_in12k_in1k,78.427,21.573,88.503,11.497,304.53,336,1.000,bicubic,-19.023,-11.277,+8 -vit_large_patch14_clip_224.laion2b_ft_in12k_in1k,78.263,21.737,88.673,11.327,304.20,224,1.000,bicubic,-19.127,-11.067,+9 -tf_efficientnet_l2.ns_jft_in1k_475,76.480,23.520,88.653,11.347,480.31,475,0.936,bicubic,-21.270,-11.137,-11 -beitv2_large_patch16_224.in1k_ft_in22k_in1k,76.370,23.630,87.093,12.907,304.43,224,0.950,bicubic,-21.380,-12.727,-11 -swsl_resnext101_32x16d,76.303,23.697,87.733,12.267,194.03,224,0.875,bilinear,-19.967,-11.767,+138 -ig_resnext101_32x8d,75.813,24.187,86.200,13.800,88.79,224,0.875,bilinear,-20.117,-13.080,+191 -swsl_resnext101_32x8d,75.590,24.410,86.937,13.063,88.79,224,0.875,bilinear,-20.650,-12.533,+139 -tf_efficientnet_l2.ns_jft_in1k,74.650,25.350,87.543,12.457,480.31,800,0.960,bicubic,-23.130,-12.277,-20 -beit_large_patch16_384.in22k_ft_in22k_in1k,73.277,26.723,85.017,14.983,305.00,384,1.000,bicubic,-24.533,-14.823,-22 -beit_large_patch16_512.in22k_ft_in22k_in1k,73.163,26.837,85.080,14.920,305.67,512,1.000,bicubic,-24.617,-14.810,-21 -swsl_resnext101_32x4d,72.660,27.340,85.157,14.843,44.18,224,0.875,bilinear,-23.390,-14.373,+166 -maxvit_xlarge_tf_512.in21k_ft_in1k,71.893,28.107,82.920,17.080,475.77,512,1.000,bicubic,-25.867,-16.900,-21 -maxvit_xlarge_tf_384.in21k_ft_in1k,71.697,28.303,82.727,17.273,475.32,384,1.000,bicubic,-26.043,-17.123,-19 -beit_large_patch16_224.in22k_ft_in22k_in1k,71.043,28.957,83.420,16.580,304.43,224,0.900,bicubic,-26.437,-16.270,-8 -deit3_huge_patch14_224_in21ft1k,70.810,29.190,82.197,17.803,632.13,224,1.000,bicubic,-26.440,-17.513,+6 -vit_base_patch16_clip_384.laion2b_ft_in1k,70.793,29.207,83.810,16.190,86.86,384,1.000,bicubic,-26.117,-15.860,+41 -deit3_large_patch16_384_in21ft1k,70.570,29.430,82.437,17.563,304.76,384,1.000,bicubic,-26.990,-17.323,-13 -maxvit_base_tf_512.in21k_ft_in1k,70.397,29.603,81.597,18.403,119.88,512,1.000,bicubic,-27.363,-18.263,-28 -maxvit_large_tf_512.in21k_ft_in1k,70.390,29.610,81.647,18.353,212.33,512,1.000,bicubic,-27.280,-18.083,-22 -maxvit_large_tf_384.in21k_ft_in1k,70.030,29.970,81.033,18.967,212.03,384,1.000,bicubic,-27.640,-18.787,-24 -deit3_large_patch16_224_in21ft1k,69.717,30.283,81.190,18.810,304.37,224,1.000,bicubic,-27.593,-18.490,-4 -maxvit_base_tf_384.in21k_ft_in1k,69.557,30.443,80.733,19.267,119.65,384,1.000,bicubic,-28.003,-18.977,-19 -swsl_resnext50_32x4d,68.977,31.023,82.810,17.190,25.03,224,0.875,bilinear,-26.643,-16.410,+216 -vit_base_patch16_clip_224.laion2b_ft_in1k,68.747,31.253,82.500,17.500,86.57,224,1.000,bicubic,-27.573,-16.910,+109 -swsl_resnet50,68.297,31.703,83.313,16.687,25.56,224,0.875,bilinear,-26.903,-16.017,+279 -convnext_xlarge.fb_in22k_ft_in1k_384,68.160,31.840,80.467,19.533,350.20,384,1.000,bicubic,-29.430,-19.303,-24 -swinv2_large_window12to24_192to384_22kft1k,67.670,32.330,80.100,19.900,196.74,384,1.000,bicubic,-29.620,-19.680,-9 -tf_efficientnet_b7.ns_jft_in1k,67.510,32.490,81.383,18.617,66.35,600,0.949,bicubic,-29.690,-18.317,+2 -vit_base_patch16_clip_384.openai_ft_in1k,67.357,32.643,81.690,18.310,86.86,384,1.000,bicubic,-29.463,-17.970,+36 -vit_large_patch16_384.augreg_in21k_ft_in1k,67.053,32.947,78.707,21.293,304.72,384,1.000,bicubic,-30.367,-21.073,-20 -convnext_large.fb_in22k_ft_in1k_384,66.667,33.333,79.807,20.193,197.77,384,1.000,bicubic,-30.643,-19.953,-15 -swin_large_patch4_window12_384,66.283,33.717,79.783,20.217,196.74,384,1.000,bicubic,-30.887,-19.897,+1 -vit_base_patch16_clip_384.laion2b_ft_in12k_in1k,66.160,33.840,78.890,21.110,86.86,384,1.000,bicubic,-31.060,-20.810,-4 -vit_base_patch16_clip_224.openai_ft_in1k,66.023,33.977,80.990,19.010,86.57,224,0.900,bicubic,-30.287,-18.510,+102 -beitv2_base_patch16_224.in1k_ft_in22k_in1k,65.757,34.243,78.890,21.110,86.53,224,0.900,bicubic,-31.153,-20.840,+21 -swinv2_base_window12to24_192to384_22kft1k,65.743,34.257,79.313,20.687,87.92,384,1.000,bicubic,-31.517,-20.477,-16 -swinv2_large_window12to16_192to256_22kft1k,65.627,34.373,78.460,21.540,196.74,256,0.900,bicubic,-31.613,-21.250,-13 -tf_efficientnet_b6.ns_jft_in1k,65.587,34.413,79.553,20.447,43.04,528,0.942,bicubic,-31.433,-20.157,+5 -convnext_xlarge.fb_in22k_ft_in1k,65.390,34.610,78.340,21.660,350.20,288,1.000,bicubic,-32.060,-21.480,-31 -vit_base_patch16_clip_384.openai_ft_in12k_in1k,65.357,34.643,78.943,21.057,86.86,384,0.950,bicubic,-31.783,-20.697,-6 -convnext_base.fb_in22k_ft_in1k_384,64.883,35.117,78.393,21.607,88.59,384,1.000,bicubic,-32.367,-21.327,-19 -vit_base_patch16_clip_224.laion2b_ft_in12k_in1k,64.767,35.233,77.787,22.213,86.57,224,0.950,bicubic,-31.833,-21.773,+52 -vit_large_patch16_224.augreg_in21k_ft_in1k,64.347,35.653,76.190,23.810,304.33,224,0.900,bicubic,-32.363,-23.450,+37 -convnext_large.fb_in22k_ft_in1k,64.270,35.730,77.787,22.213,197.77,288,1.000,bicubic,-32.950,-21.943,-16 -vit_large_r50_s32_384.augreg_in21k_ft_in1k,64.100,35.900,75.850,24.150,329.09,384,1.000,bicubic,-32.850,-23.810,+5 -swin_large_patch4_window7_224,63.870,36.130,78.180,21.820,196.53,224,0.900,bicubic,-33.080,-21.530,+5 -beit_base_patch16_384.in22k_ft_in22k_in1k,63.617,36.383,78.107,21.893,86.74,384,1.000,bicubic,-33.713,-21.613,-34 -swin_base_patch4_window12_384,63.470,36.530,78.063,21.937,87.90,384,1.000,bicubic,-33.650,-21.507,-13 -swinv2_base_window12to16_192to256_22kft1k,63.180,36.820,77.117,22.883,87.92,256,0.900,bicubic,-33.880,-22.543,-8 -tf_efficientnet_b5.ns_jft_in1k,63.047,36.953,77.777,22.223,30.39,456,0.934,bicubic,-33.823,-21.883,+11 -vit_base_patch16_clip_224.openai_ft_in12k_in1k,62.947,37.053,76.610,23.390,86.57,224,0.950,bicubic,-33.563,-23.010,+55 -deit3_base_patch16_384_in21ft1k,62.640,37.360,75.553,24.447,86.88,384,1.000,bicubic,-34.600,-24.187,-27 -convnext_base.fb_in22k_ft_in1k,62.520,37.480,76.563,23.437,88.59,288,1.000,bicubic,-34.700,-23.197,-26 -vit_base_patch8_224.augreg2_in21k_ft_in1k,62.407,37.593,76.607,23.393,86.58,224,0.900,bicubic,-34.533,-22.973,-2 -tf_efficientnetv2_l.in21k_ft_in1k,62.367,37.633,76.743,23.257,118.52,480,1.000,bicubic,-34.953,-22.897,-40 -vit_base_patch8_224.augreg_in21k_ft_in1k,62.190,37.810,75.610,24.390,86.58,224,0.900,bicubic,-34.890,-24.010,-17 -tf_efficientnetv2_xl.in21k_ft_in1k,62.090,37.910,75.650,24.350,208.12,512,1.000,bicubic,-35.240,-23.950,-43 -deit3_base_patch16_224_in21ft1k,61.780,38.220,74.713,25.287,86.59,224,1.000,bicubic,-35.090,-24.927,+4 -tf_efficientnet_b4.ns_jft_in1k,61.230,38.770,76.173,23.827,19.34,380,0.922,bicubic,-35.480,-23.477,+22 -maxvit_base_tf_512.in1k,61.113,38.887,74.057,25.943,119.88,512,1.000,bicubic,-36.067,-25.583,-29 -vit_base_patch32_clip_384.laion2b_ft_in12k_in1k,60.373,39.627,73.810,26.190,88.30,384,1.000,bicubic,-36.237,-25.670,+30 -beit_base_patch16_224.in22k_ft_in22k_in1k,60.317,39.683,75.597,24.403,86.53,224,0.900,bicubic,-36.343,-24.063,+26 -tf_efficientnetv2_m.in21k_ft_in1k,60.280,39.720,75.070,24.930,54.14,480,1.000,bicubic,-36.720,-24.560,-16 -vit_base_patch32_clip_448.laion2b_ft_in12k_in1k,60.240,39.760,73.540,26.460,88.34,448,1.000,bicubic,-36.330,-25.980,+34 -vit_base_patch16_384.augreg_in21k_ft_in1k,60.180,39.820,73.843,26.157,86.86,384,1.000,bicubic,-36.840,-25.867,-21 -convnext_small.fb_in22k_ft_in1k_384,59.947,40.053,74.470,25.530,50.22,384,1.000,bicubic,-37.153,-25.230,-28 -maxvit_large_tf_512.in1k,59.877,40.123,72.847,27.153,212.33,512,1.000,bicubic,-37.173,-26.743,-25 -swin_base_patch4_window7_224,59.537,40.463,74.247,25.753,87.77,224,0.900,bicubic,-37.143,-25.413,+18 -vit_base_patch32_clip_224.laion2b_ft_in1k,59.170,40.830,73.897,26.103,88.22,224,0.900,bicubic,-35.570,-25.173,+311 -maxvit_base_tf_384.in1k,59.110,40.890,71.700,28.300,119.65,384,1.000,bicubic,-38.010,-28.080,-34 -vit_base_patch16_224.augreg2_in21k_ft_in1k,59.047,40.953,73.640,26.360,86.57,224,0.900,bicubic,-37.463,-25.910,+34 -volo_d5_512,58.917,41.083,73.200,26.800,296.09,512,1.150,bicubic,-38.373,-26.560,-53 -volo_d5_448,58.793,41.207,73.057,26.943,295.91,448,1.150,bicubic,-38.447,-26.613,-50 -vit_large_r50_s32_224.augreg_in21k_ft_in1k,58.633,41.367,71.720,28.280,328.99,224,0.900,bicubic,-37.547,-27.790,+83 -vit_base_patch32_clip_384.openai_ft_in12k_in1k,58.603,41.397,73.140,26.860,88.30,384,0.950,bicubic,-37.817,-26.360,+44 -maxvit_large_tf_384.in1k,58.453,41.547,71.167,28.833,212.03,384,1.000,bicubic,-38.487,-28.473,-23 -deit3_large_patch16_384,58.360,41.640,72.970,27.030,304.76,384,1.000,bicubic,-38.490,-26.650,-14 -deit3_huge_patch14_224,58.107,41.893,72.130,27.870,632.13,224,0.900,bicubic,-38.463,-27.390,+19 -tf_efficientnet_b8.ap_in1k,57.830,42.170,72.957,27.043,87.41,672,0.954,bicubic,-38.720,-26.613,+21 -convnext_small.fb_in22k_ft_in1k,57.743,42.257,72.790,27.210,50.22,288,1.000,bicubic,-39.067,-26.880,-12 -mvitv2_large,57.487,42.513,70.773,29.227,217.99,224,0.900,bicubic,-38.923,-28.677,+39 -cait_m48_448,57.470,42.530,71.860,28.140,356.46,448,1.000,bicubic,-39.410,-27.810,-23 -cait_m36_384,57.467,42.533,72.313,27.687,271.22,384,1.000,bicubic,-39.363,-27.347,-19 -tf_efficientnet_b3.ns_jft_in1k,57.417,42.583,72.387,27.613,12.23,300,0.904,bicubic,-38.683,-27.093,+83 -volo_d4_448,57.283,42.717,71.537,28.463,193.41,448,1.150,bicubic,-39.787,-28.213,-45 -maxvit_small_tf_512.in1k,57.093,42.907,70.967,29.033,69.13,512,1.000,bicubic,-40.087,-28.653,-54 -vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,57.057,42.943,71.290,28.710,88.22,224,0.900,bicubic,-38.183,-28.030,+211 -vit_base_patch16_224.augreg_in21k_ft_in1k,56.823,43.177,70.633,29.367,86.57,224,0.900,bicubic,-39.477,-28.927,+51 -deit3_medium_patch16_224_in21ft1k,56.650,43.350,69.737,30.263,38.85,224,1.000,bicubic,-39.490,-29.753,+72 -volo_d5_224,56.480,43.520,70.643,29.357,295.46,224,0.960,bicubic,-40.400,-28.977,-32 -deit3_large_patch16_224,56.463,43.537,70.457,29.543,304.37,224,0.900,bicubic,-39.727,-29.073,+65 -xcit_large_24_p8_384_dist,56.353,43.647,71.323,28.677,188.93,384,1.000,bicubic,-40.407,-28.237,-17 -flexivit_large.1200ep_in1k,56.293,43.707,71.560,28.440,304.36,240,0.950,bicubic,-40.487,-27.970,-22 -flexivit_large.600ep_in1k,56.047,43.953,71.173,28.827,304.36,240,0.950,bicubic,-40.693,-28.427,-17 -xcit_large_24_p8_224_dist,56.027,43.973,70.663,29.337,188.93,224,1.000,bicubic,-40.613,-28.797,-6 -vit_base_patch32_clip_224.openai_ft_in1k,55.907,44.093,72.173,27.827,88.22,224,0.900,bicubic,-38.533,-26.837,+332 -vit_medium_patch16_gap_384.in12k_ft_in1k,55.787,44.213,70.993,29.007,39.03,384,0.950,bicubic,-40.723,-28.597,+6 -flexivit_large.300ep_in1k,55.700,44.300,70.713,29.287,304.36,240,0.950,bicubic,-40.990,-28.867,-13 -xcit_large_24_p16_384_dist,54.907,45.093,69.867,30.133,189.10,384,1.000,bicubic,-42.033,-29.653,-45 -volo_d4_224,54.747,45.253,68.867,31.133,192.96,224,0.960,bicubic,-42.033,-30.753,-31 -maxvit_tiny_tf_512.in1k,54.723,45.277,68.933,31.067,31.05,512,1.000,bicubic,-42.247,-30.737,-52 -deit3_small_patch16_384_in21ft1k,54.470,45.530,68.313,31.687,22.21,384,1.000,bicubic,-42.200,-31.327,-15 -efficientnet_b5.in12k_ft_in1k,54.447,45.553,69.857,30.143,30.39,448,1.000,bicubic,-42.323,-29.743,-29 -vit_base_r50_s16_384.orig_in21k_ft_in1k,54.403,45.597,69.560,30.440,98.95,384,1.000,bicubic,-42.047,-30.060,+9 -maxvit_small_tf_384.in1k,54.343,45.657,68.193,31.807,69.02,384,1.000,bicubic,-42.397,-31.357,-29 -resnetv2_152x4_bitm,54.320,45.680,70.167,29.833,936.53,480,1.000,bilinear,-42.550,-29.453,-46 -xcit_large_24_p16_224_dist,54.260,45.740,68.970,31.030,189.10,224,1.000,bicubic,-42.060,-30.570,+27 -vit_small_r26_s32_384.augreg_in21k_ft_in1k,54.197,45.803,68.757,31.243,36.47,384,1.000,bicubic,-41.863,-30.623,+66 -volo_d3_448,53.990,46.010,68.020,31.980,86.63,448,1.000,bicubic,-43.030,-31.650,-64 -tf_efficientnet_b5.ap_in1k,53.870,46.130,69.160,30.840,30.39,456,0.934,bicubic,-42.210,-30.380,+58 -xcit_medium_24_p8_224_dist,53.660,46.340,68.410,31.590,84.32,224,1.000,bicubic,-42.860,-31.100,-9 -tf_efficientnet_b2.ns_jft_in1k,53.600,46.400,70.270,29.730,9.11,260,0.890,bicubic,-41.920,-29.070,+142 -tf_efficientnet_b6.ap_in1k,53.560,46.440,68.550,31.450,43.04,528,0.942,bicubic,-42.810,-31.000,+11 -cait_s36_384,53.550,46.450,68.000,32.000,68.37,384,1.000,bicubic,-43.080,-31.600,-24 -vit_medium_patch16_gap_256.in12k_ft_in1k,53.537,46.463,69.067,30.933,38.86,256,0.950,bicubic,-42.443,-30.383,+72 -deit3_base_patch16_384,53.513,46.487,67.637,32.363,86.88,384,1.000,bicubic,-42.717,-31.763,+33 -deit3_base_patch16_224,53.453,46.547,67.590,32.410,86.59,224,0.900,bicubic,-42.327,-31.680,+101 -tf_efficientnet_b8.ra_in1k,53.410,46.590,69.090,30.910,87.41,672,0.954,bicubic,-43.290,-30.510,-34 -xcit_medium_24_p8_384_dist,53.407,46.593,68.143,31.857,84.32,384,1.000,bicubic,-43.373,-31.527,-47 -vit_base_patch32_384.augreg_in21k_ft_in1k,53.307,46.693,68.047,31.953,88.30,384,1.000,bicubic,-42.593,-31.303,+79 -tf_efficientnet_b7.ap_in1k,53.260,46.740,68.873,31.127,66.35,600,0.949,bicubic,-43.090,-30.497,+5 -convnext_large.fb_in1k,53.227,46.773,67.877,32.123,197.77,288,1.000,bicubic,-43.173,-31.663,0 -xcit_medium_24_p16_384_dist,53.213,46.787,68.050,31.950,84.40,384,1.000,bicubic,-43.487,-31.480,-40 -maxvit_base_tf_224.in1k,53.210,46.790,66.147,33.853,119.47,224,0.950,bicubic,-43.140,-33.443,+4 -tf_efficientnetv2_l.in1k,53.163,46.837,67.833,32.167,118.52,480,1.000,bicubic,-43.577,-31.717,-47 -tf_efficientnetv2_s.in21k_ft_in1k,53.150,46.850,69.000,31.000,21.46,384,1.000,bicubic,-43.320,-30.570,-17 -tf_efficientnet_b4.ap_in1k,53.090,46.910,68.210,31.790,19.34,380,0.922,bicubic,-42.400,-31.030,+129 -regnetz_e8,53.017,46.983,67.140,32.860,57.70,320,1.000,bicubic,-43.583,-32.420,-36 -maxvit_large_tf_224.in1k,52.983,47.017,65.343,34.657,211.79,224,0.950,bicubic,-43.337,-34.157,+6 -dm_nfnet_f5,52.870,47.130,67.430,32.570,377.21,544,0.954,bicubic,-43.940,-32.080,-63 -volo_d3_224,52.703,47.297,66.317,33.683,86.33,224,0.960,bicubic,-43.747,-33.303,-16 -deit3_small_patch16_224_in21ft1k,52.690,47.310,66.877,33.123,22.06,224,1.000,bicubic,-43.130,-32.433,+79 -maxvit_tiny_tf_384.in1k,52.463,47.537,66.780,33.220,30.98,384,1.000,bicubic,-44.137,-32.830,-40 -dm_nfnet_f6,52.447,47.553,67.120,32.880,438.36,576,0.956,bicubic,-44.473,-32.600,-79 -tf_efficientnet_b7.ra_in1k,52.393,47.607,68.233,31.767,66.35,600,0.949,bicubic,-44.187,-31.277,-40 -xcit_small_24_p8_384_dist,52.360,47.640,66.840,33.160,47.63,384,1.000,bicubic,-44.460,-32.790,-70 -swsl_resnet18,52.327,47.673,70.480,29.520,11.69,224,0.875,bilinear,-38.763,-27.730,+572 -efficientnetv2_rw_m.agc_in1k,52.323,47.677,67.210,32.790,53.24,416,1.000,bicubic,-43.947,-32.420,+4 -deit_base_distilled_patch16_384,52.257,47.743,67.733,32.267,87.63,384,1.000,bicubic,-44.253,-31.827,-35 -xcit_medium_24_p16_224_dist,52.210,47.790,66.900,33.100,84.40,224,1.000,bicubic,-44.050,-32.510,+4 -xcit_small_24_p8_224_dist,52.197,47.803,66.767,33.233,47.63,224,1.000,bicubic,-44.353,-32.773,-42 -convnext_tiny.fb_in22k_ft_in1k_384,52.163,47.837,66.917,33.083,28.59,384,1.000,bicubic,-44.007,-32.583,+18 -dm_nfnet_f3,52.130,47.870,66.743,33.257,254.92,416,0.940,bicubic,-44.600,-32.887,-64 -resnetv2_152x2_bit_teacher_384,51.937,48.063,68.670,31.330,236.34,384,1.000,bicubic,-44.253,-30.830,+11 -resmlp_big_24_224_in22ft1k,51.903,48.097,68.463,31.537,129.14,224,0.875,bicubic,-44.447,-31.057,-18 -xcit_small_24_p16_384_dist,51.883,48.117,66.353,33.647,47.67,384,1.000,bicubic,-44.457,-33.197,-17 -cait_s24_384,51.783,48.217,66.313,33.687,47.06,384,1.000,bicubic,-44.787,-33.237,-51 -resnetv2_152x2_bitm,51.757,48.243,69.250,30.750,236.34,448,1.000,bilinear,-44.763,-30.340,-47 -ecaresnet269d,51.670,48.330,66.047,33.953,102.09,352,1.000,bicubic,-44.790,-33.493,-38 -mvitv2_base,51.567,48.433,65.623,34.377,51.47,224,0.900,bicubic,-44.443,-33.897,+35 -vit_base_patch16_224_miil.in21k_ft_in1k,51.557,48.443,65.207,34.793,86.54,224,0.875,bilinear,-44.473,-34.183,+30 -tf_efficientnetv2_m.in1k,51.437,48.563,66.630,33.370,54.14,480,1.000,bicubic,-45.043,-32.980,-45 -maxvit_rmlp_small_rw_224,51.423,48.577,65.180,34.820,64.90,224,0.900,bicubic,-44.537,-34.240,+41 -maxvit_small_tf_224.in1k,51.180,48.820,65.277,34.723,68.93,224,0.950,bicubic,-45.030,-34.203,-2 -pit_b_distilled_224,51.153,48.847,66.770,33.230,74.79,224,0.900,bicubic,-44.917,-32.650,+17 -xcit_small_12_p8_384_dist,51.100,48.900,65.833,34.167,26.21,384,1.000,bicubic,-45.380,-33.657,-48 -convnext_base.fb_in1k,51.073,48.927,65.883,34.117,88.59,288,1.000,bicubic,-45.237,-33.667,-19 -dm_nfnet_f4,50.900,49.100,65.557,34.443,316.07,512,0.951,bicubic,-45.880,-34.053,-88 -tf_efficientnet_b1.ns_jft_in1k,50.883,49.117,67.910,32.090,7.79,240,0.882,bicubic,-43.977,-31.340,+208 -vit_base_patch16_384.orig_in21k_ft_in1k,50.883,49.117,65.270,34.730,86.86,384,1.000,bicubic,-45.307,-34.030,-6 -volo_d2_384,50.873,49.127,65.637,34.363,58.87,384,1.000,bicubic,-45.837,-33.963,-79 -xcit_small_24_p16_224_dist,50.733,49.267,65.010,34.990,47.67,224,1.000,bicubic,-45.067,-34.330,+53 -flexivit_base.1200ep_in1k,50.693,49.307,65.117,34.883,86.59,240,0.950,bicubic,-45.417,-34.343,+3 -coatnet_rmlp_2_rw_224,50.563,49.437,63.370,36.630,73.88,224,0.950,bicubic,-45.637,-35.910,-11 -xcit_small_12_p16_384_dist,50.520,49.480,65.313,34.687,26.25,384,1.000,bicubic,-45.820,-34.267,-34 -efficientnet_b4.ra2_in1k,50.510,49.490,65.703,34.297,19.34,384,1.000,bicubic,-45.010,-33.687,+87 -volo_d1_384,50.477,49.523,64.917,35.083,26.78,384,1.000,bicubic,-45.993,-34.633,-57 -xcit_small_12_p8_224_dist,50.440,49.560,65.433,34.567,26.21,224,1.000,bicubic,-45.520,-33.917,+24 -resnetv2_101x3_bitm,50.407,49.593,67.790,32.210,387.93,448,1.000,bilinear,-45.843,-31.800,-24 -flexivit_base.600ep_in1k,50.357,49.643,64.613,35.387,86.59,240,0.950,bicubic,-45.603,-34.807,+21 -regnetz_040h,50.330,49.670,65.633,34.367,28.94,320,1.000,bicubic,-46.000,-33.887,-39 -ssl_resnext101_32x16d,50.257,49.743,66.033,33.967,194.03,224,0.875,bilinear,-45.153,-33.127,+98 -mvitv2_small,50.250,49.750,64.910,35.090,34.87,224,0.900,bicubic,-45.640,-34.450,+29 -cait_s24_224,50.243,49.757,65.027,34.973,46.92,224,1.000,bicubic,-45.407,-34.363,+63 -eca_nfnet_l2,50.237,49.763,65.450,34.550,56.72,384,1.000,bicubic,-46.213,-34.210,-61 -tresnet_v2_l,50.167,49.833,65.093,34.907,46.17,224,0.875,bilinear,-45.653,-34.197,+35 -pvt_v2_b5,50.167,49.833,65.037,34.963,81.96,224,0.900,bicubic,-45.783,-34.353,+18 -deit3_medium_patch16_224,50.167,49.833,64.697,35.303,38.85,224,0.900,bicubic,-45.223,-34.733,+103 -vit_small_patch16_384.augreg_in21k_ft_in1k,50.160,49.840,65.807,34.193,22.20,384,1.000,bicubic,-45.820,-33.623,+7 -resnest269e,50.153,49.847,64.670,35.330,110.93,416,0.928,bicubic,-45.967,-34.850,-17 -deit_base_distilled_patch16_224,50.063,49.937,66.227,33.773,87.34,224,0.900,bicubic,-45.687,-33.203,+41 -pvt_v2_b4,50.063,49.937,65.150,34.850,62.56,224,0.900,bicubic,-45.837,-34.290,+18 -tf_efficientnet_b3.ap_in1k,50.057,49.943,65.210,34.790,12.23,300,0.904,bicubic,-44.913,-33.900,+164 -flexivit_base.300ep_in1k,50.013,49.987,64.113,35.887,86.59,240,0.950,bicubic,-45.957,-35.257,+6 -resnest200e,49.873,50.127,64.743,35.257,70.20,320,0.909,bicubic,-46.197,-34.637,-15 -efficientformer_l7,49.837,50.163,66.020,33.980,82.23,224,0.950,bicubic,-45.763,-33.370,+56 -volo_d2_224,49.813,50.187,64.593,35.407,58.68,224,0.960,bicubic,-46.607,-34.867,-69 -seresnextaa101d_32x8d,49.760,50.240,64.410,35.590,93.59,288,1.000,bicubic,-46.660,-35.110,-71 -xception65,49.760,50.240,63.520,36.480,39.92,299,0.940,bicubic,-45.930,-35.790,+45 -swinv2_base_window16_256,49.680,50.320,63.813,36.187,87.92,256,0.900,bicubic,-46.500,-35.717,-31 -pvt_v2_b3,49.580,50.420,64.787,35.213,45.24,224,0.900,bicubic,-45.890,-34.533,+71 -cait_xs24_384,49.527,50.473,64.900,35.100,26.67,384,1.000,bicubic,-46.483,-34.430,-8 -maxvit_rmlp_tiny_rw_256,49.523,50.477,63.817,36.183,29.15,256,0.950,bicubic,-46.517,-35.593,-15 -tf_efficientnet_b5.ra_in1k,49.510,50.490,65.657,34.343,30.39,456,0.934,bicubic,-46.470,-33.843,-6 -resnetv2_152x2_bit_teacher,49.480,50.520,65.617,34.383,236.34,224,0.875,bicubic,-46.270,-33.823,+26 -resnet200d,49.470,50.530,64.330,35.670,64.69,320,1.000,bicubic,-46.640,-35.070,-31 -xcit_small_12_p16_224_dist,49.417,50.583,63.850,36.150,26.25,224,1.000,bicubic,-46.323,-35.310,+26 -resnest101e,49.367,50.633,65.587,34.413,48.28,256,0.875,bilinear,-46.203,-33.683,+49 -regnetz_040,49.280,50.720,64.067,35.933,27.12,320,1.000,bicubic,-46.900,-35.333,-41 -resnet152d,49.253,50.747,64.413,35.587,60.21,320,1.000,bicubic,-46.617,-35.017,+6 -vit_base_patch32_224.augreg_in21k_ft_in1k,49.253,50.747,64.340,35.660,88.22,224,0.900,bicubic,-45.137,-34.720,+235 -seresnet152d,49.247,50.753,64.170,35.830,66.84,320,1.000,bicubic,-47.063,-35.340,-65 -xcit_large_24_p8_224,49.247,50.753,62.850,37.150,188.93,224,1.000,bicubic,-46.833,-36.300,-34 -maxxvit_rmlp_small_rw_256,49.147,50.853,63.343,36.657,66.01,256,0.950,bicubic,-47.063,-36.117,-53 -gcvit_base,49.143,50.857,63.963,36.037,90.32,224,0.875,bicubic,-46.917,-35.597,-29 -resmlp_big_24_distilled_224,49.097,50.903,65.470,34.530,129.14,224,0.875,bicubic,-46.773,-33.970,-1 -convnext_small.fb_in1k,49.077,50.923,64.820,35.180,50.22,288,1.000,bicubic,-46.903,-34.770,-18 -ssl_resnext101_32x8d,49.067,50.933,65.480,34.520,88.79,224,0.875,bilinear,-46.273,-33.860,+78 -volo_d1_224,48.967,51.033,63.187,36.813,26.63,224,0.960,bicubic,-47.063,-36.163,-29 -repvgg_b3,48.917,51.083,64.887,35.113,123.09,224,0.875,bilinear,-45.633,-34.023,+208 -resnetrs420,48.857,51.143,63.427,36.573,191.89,416,1.000,bicubic,-47.543,-36.103,-90 -maxvit_tiny_tf_224.in1k,48.810,51.190,62.947,37.053,30.92,224,0.950,bicubic,-47.000,-36.313,+2 -deit3_small_patch16_384,48.680,51.320,62.833,37.167,22.21,384,1.000,bicubic,-46.920,-36.607,+30 -seresnext101d_32x8d,48.610,51.390,62.963,37.037,93.59,288,1.000,bicubic,-47.750,-36.507,-89 -efficientnetv2_rw_s.ra2_in1k,48.603,51.397,63.840,36.160,23.94,384,1.000,bicubic,-47.107,-35.560,+16 -regnetz_d32,48.590,51.410,65.187,34.813,27.58,320,0.950,bicubic,-47.270,-34.243,-7 -swinv2_small_window16_256,48.583,51.417,62.767,37.233,49.73,256,0.900,bicubic,-47.487,-36.573,-44 -efficientnet_b3.ra2_in1k,48.563,51.437,64.250,35.750,12.23,320,1.000,bicubic,-46.577,-34.960,+97 -ecaresnet101d,48.527,51.473,64.100,35.900,44.57,224,0.875,bicubic,-46.633,-35.200,+92 -edgenext_base,48.433,51.567,64.317,35.683,18.51,320,1.000,bicubic,-47.357,-35.253,-4 -dm_nfnet_f2,48.373,51.627,63.233,36.767,193.78,352,0.920,bicubic,-48.087,-36.377,-109 -vit_small_r26_s32_224.augreg_in21k_ft_in1k,48.363,51.637,63.797,36.203,36.43,224,0.900,bicubic,-46.767,-35.323,+95 -swinv2_base_window8_256,48.340,51.660,63.610,36.390,87.92,256,0.900,bicubic,-47.730,-35.870,-52 -repvgg_b3g4,48.310,51.690,64.800,35.200,83.83,224,0.875,bilinear,-46.180,-34.220,+201 -vit_large_patch32_384.orig_in21k_ft_in1k,48.250,51.750,61.830,38.170,306.63,384,1.000,bicubic,-46.990,-37.410,+72 -convit_base,48.217,51.783,63.000,37.000,86.54,224,0.875,bicubic,-46.883,-36.140,+98 -swin_s3_base_224,48.147,51.853,62.250,37.750,71.13,224,0.900,bicubic,-47.893,-37.100,-48 -sequencer2d_l,48.100,51.900,62.350,37.650,54.30,224,0.875,bicubic,-47.780,-37.120,-24 -resnetrs350,48.050,51.950,62.653,37.347,163.96,384,1.000,bicubic,-48.190,-36.937,-82 -tf_efficientnetv2_b3.in21k_ft_in1k,48.037,51.963,64.730,35.270,14.36,300,0.900,bicubic,-47.553,-34.550,+16 -gcvit_small,48.033,51.967,62.700,37.300,51.09,224,0.875,bicubic,-47.897,-36.680,-33 -regnetz_d8,48.010,51.990,64.417,35.583,23.37,320,1.000,bicubic,-48.000,-35.013,-50 -twins_svt_large,47.947,52.053,62.907,37.093,99.27,224,0.900,bicubic,-47.773,-36.583,-5 -vit_relpos_base_patch16_224.sw_in1k,47.927,52.073,62.853,37.147,86.43,224,0.900,bicubic,-47.223,-36.307,+78 -mixer_b16_224_miil,47.790,52.210,63.400,36.600,59.88,224,0.875,bilinear,-47.090,-35.870,+128 -repvgg_b2g4,47.787,52.213,64.390,35.610,61.76,224,0.875,bilinear,-46.033,-34.520,+273 -vit_relpos_base_patch16_clsgap_224.sw_in1k,47.767,52.233,62.403,37.597,86.43,224,0.900,bicubic,-47.483,-36.797,+59 -mvitv2_tiny,47.693,52.307,62.810,37.190,24.17,224,0.900,bicubic,-47.717,-36.250,+34 -vit_relpos_medium_patch16_cls_224.sw_in1k,47.660,52.340,61.800,38.200,38.76,224,0.900,bicubic,-47.640,-37.290,+50 -eca_nfnet_l1,47.650,52.350,62.763,37.237,41.41,320,1.000,bicubic,-48.290,-36.727,-44 -seresnext101_32x8d,47.643,52.357,61.443,38.557,93.57,288,1.000,bicubic,-48.477,-37.917,-77 -resnetv2_50x3_bitm,47.593,52.407,65.603,34.397,217.32,448,1.000,bilinear,-48.677,-33.957,-101 -pit_s_distilled_224,47.543,52.457,63.493,36.507,24.04,224,0.900,bicubic,-47.187,-35.607,+138 -resnest50d_4s2x40d,47.483,52.517,63.807,36.193,30.42,224,0.875,bicubic,-47.227,-35.163,+143 -efficientnet_b3_pruned.in1k,47.447,52.553,62.793,37.207,9.86,300,0.904,bicubic,-47.133,-36.277,+167 -crossvit_18_dagger_408,47.380,52.620,60.943,39.057,44.61,408,1.000,bicubic,-48.750,-38.527,-84 -coatnet_rmlp_1_rw_224,47.370,52.630,61.430,38.570,41.69,224,0.950,bicubic,-48.120,-37.960,+11 -vit_base_patch16_224.orig_in21k_ft_in1k,47.340,52.660,61.607,38.393,86.57,224,0.900,bicubic,-47.870,-37.553,+53 -xcit_small_24_p8_224,47.287,52.713,60.990,39.010,47.63,224,1.000,bicubic,-48.613,-38.190,-48 -efficientformer_l3,47.230,52.770,63.400,36.600,31.41,224,0.950,bicubic,-47.980,-35.910,+50 -tresnet_m,47.230,52.770,61.993,38.007,31.39,224,0.875,bilinear,-48.150,-37.157,+29 -tf_efficientnet_b6.aa_in1k,47.213,52.787,63.110,36.890,43.04,528,0.942,bicubic,-49.077,-36.410,-112 -ssl_resnext101_32x4d,47.177,52.823,63.367,36.633,44.18,224,0.875,bilinear,-47.983,-35.863,+57 -resnetrs270,47.107,52.893,62.010,37.990,129.86,352,1.000,bicubic,-48.953,-37.480,-79 -tf_efficientnet_b4.aa_in1k,47.083,52.917,62.867,37.133,19.34,380,0.922,bicubic,-48.507,-36.413,-11 -regnetz_d8_evos,47.080,52.920,63.397,36.603,23.46,320,0.950,bicubic,-49.140,-36.093,-106 -vit_base_patch16_rpn_224.in1k,47.057,52.943,62.400,37.600,86.54,224,0.900,bicubic,-47.773,-36.690,+113 -swinv2_small_window8_256,47.027,52.973,62.307,37.693,49.73,256,0.900,bicubic,-48.703,-37.053,-32 -xcit_small_12_p8_224,46.983,53.017,60.533,39.467,26.21,224,1.000,bicubic,-48.437,-38.667,+10 -xcit_large_24_p16_224,46.957,53.043,60.670,39.330,189.10,224,1.000,bicubic,-47.983,-38.160,+91 -xception65p,46.937,53.063,61.083,38.917,39.82,299,0.940,bicubic,-48.723,-38.187,-25 -resnet101d,46.893,53.107,62.317,37.683,44.57,320,1.000,bicubic,-48.857,-36.963,-42 -maxvit_tiny_rw_224,46.887,53.113,60.897,39.103,29.06,224,0.950,bicubic,-48.853,-38.413,-39 -pvt_v2_b2_li,46.833,53.167,62.507,37.493,22.55,224,0.900,bicubic,-48.367,-36.773,+43 -resnet152,46.817,53.183,60.427,39.573,60.19,224,0.950,bicubic,-48.733,-38.843,-16 -gluon_seresnext101_64x4d,46.677,53.323,61.303,38.697,88.23,224,0.875,bicubic,-47.973,-37.677,+134 -twins_pcpvt_large,46.637,53.363,62.240,37.760,60.99,224,0.900,bicubic,-49.083,-37.050,-40 -convnext_tiny.fb_in1k,46.573,53.427,63.183,36.817,28.59,288,1.000,bicubic,-48.627,-35.987,+37 -dm_nfnet_f1,46.547,53.453,61.407,38.593,132.63,320,0.910,bicubic,-49.843,-38.063,-146 -regnetv_064,46.480,53.520,62.253,37.747,30.58,288,1.000,bicubic,-49.290,-37.167,-51 -crossvit_15_dagger_408,46.463,53.537,60.480,39.520,28.50,408,1.000,bicubic,-49.357,-38.930,-59 -xcit_medium_24_p8_224,46.463,53.537,59.647,40.353,84.32,224,1.000,bicubic,-49.407,-39.433,-65 -resnetrs200,46.423,53.577,61.060,38.940,93.21,320,1.000,bicubic,-49.917,-38.430,-143 -coatnet_1_rw_224,46.403,53.597,60.080,39.920,41.72,224,0.950,bicubic,-49.217,-39.360,-33 -swin_s3_small_224,46.400,53.600,60.900,39.100,49.74,224,0.900,bicubic,-49.440,-38.300,-65 -gcvit_tiny,46.373,53.627,61.603,38.397,28.22,224,0.875,bicubic,-49.307,-37.737,-41 -fbnetv3_g.ra2_in1k,46.337,53.663,62.417,37.583,16.62,288,0.950,bilinear,-48.793,-36.813,+41 -sequencer2d_m,46.300,53.700,60.897,39.103,38.31,224,0.875,bicubic,-49.290,-38.433,-33 -tresnet_xl,46.283,53.717,61.943,38.057,78.44,224,0.875,bilinear,-48.777,-37.317,+56 -xcit_tiny_24_p8_384_dist,46.267,53.733,60.713,39.287,12.11,384,1.000,bicubic,-49.973,-38.727,-132 -xcit_tiny_24_p8_224_dist,46.260,53.740,60.600,39.400,12.11,224,1.000,bicubic,-49.190,-38.790,-15 -deit_small_distilled_patch16_224,46.160,53.840,62.417,37.583,22.44,224,0.900,bicubic,-48.430,-36.513,+126 -regnety_160,46.153,53.847,61.837,38.163,83.59,288,1.000,bicubic,-49.727,-37.723,-80 -gernet_m,46.150,53.850,62.700,37.300,21.14,224,0.875,bilinear,-48.400,-35.960,+133 -crossvit_base_240,46.133,53.867,60.217,39.783,105.03,240,0.875,bicubic,-48.937,-38.933,+49 -swinv2_cr_small_ns_224,46.117,53.883,60.780,39.220,49.70,224,0.900,bicubic,-49.573,-38.530,-53 -resnest50d_1s4x24d,46.083,53.917,62.377,37.623,25.68,224,0.875,bicubic,-48.307,-36.693,+148 -tf_efficientnet_b0.ns_jft_in1k,46.047,53.953,63.253,36.747,5.29,224,0.875,bicubic,-47.693,-35.677,+230 -jx_nest_base,46.040,53.960,60.103,39.897,67.72,224,0.875,bicubic,-49.500,-39.197,-39 -resnet51q,46.027,53.973,60.910,39.090,35.70,288,1.000,bilinear,-49.173,-38.350,+16 -vit_small_patch16_224.augreg_in21k_ft_in1k,45.990,54.010,61.820,38.180,22.05,224,0.900,bicubic,-48.890,-37.260,+71 -regnety_080,45.960,54.040,60.850,39.150,39.18,288,1.000,bicubic,-49.900,-38.590,-84 -vit_relpos_medium_patch16_224.sw_in1k,45.947,54.053,61.030,38.970,38.75,224,0.900,bicubic,-49.263,-38.200,+9 -resnest50d,45.937,54.063,62.623,37.377,27.48,224,0.875,bilinear,-48.683,-36.497,+110 -deit3_small_patch16_224,45.927,54.073,58.903,41.097,22.06,224,0.900,bicubic,-48.763,-40.197,+98 -convnext_nano.in12k_ft_in1k,45.903,54.097,62.680,37.320,15.59,288,1.000,bicubic,-49.457,-36.770,-15 -crossvit_18_240,45.903,54.097,60.373,39.627,43.27,240,0.875,bicubic,-49.167,-38.827,+36 -regnety_032,45.893,54.107,61.537,38.463,19.44,288,1.000,bicubic,-49.577,-37.773,-37 -twins_pcpvt_base,45.893,54.107,61.337,38.663,43.83,224,0.900,bicubic,-49.567,-38.053,-35 -levit_384,45.877,54.123,61.693,38.307,39.13,224,0.900,bicubic,-49.333,-37.527,+3 -twins_svt_base,45.877,54.123,60.967,39.033,56.07,224,0.900,bicubic,-49.693,-38.263,-53 -crossvit_18_dagger_240,45.853,54.147,59.927,40.073,44.27,240,0.875,bicubic,-49.327,-39.193,+7 -convnext_tiny_hnf.a2h_in1k,45.850,54.150,60.183,39.817,28.59,288,1.000,bicubic,-49.420,-38.977,-10 -vit_relpos_medium_patch16_rpn_224.sw_in1k,45.737,54.263,60.963,39.037,38.73,224,0.900,bicubic,-49.333,-38.327,+27 -vit_srelpos_medium_patch16_224.sw_in1k,45.720,54.280,61.067,38.933,38.74,224,0.900,bicubic,-49.180,-38.093,+53 -crossvit_15_dagger_240,45.700,54.300,60.097,39.903,28.21,240,0.875,bicubic,-49.280,-39.063,+39 -regnetz_c16,45.687,54.313,62.520,37.480,13.46,320,0.940,bicubic,-49.713,-36.790,-32 -convmixer_1536_20,45.663,54.337,61.770,38.230,51.63,224,0.960,bicubic,-49.307,-37.400,+38 -gc_efficientnetv2_rw_t.agc_in1k,45.653,54.347,60.203,39.797,13.68,288,1.000,bicubic,-49.627,-39.017,-18 -flexivit_small.1200ep_in1k,45.610,54.390,59.883,40.117,22.06,240,0.950,bicubic,-49.590,-39.507,-2 -efficientnetv2_rw_t.ra2_in1k,45.607,54.393,60.183,39.817,13.65,288,1.000,bicubic,-49.463,-38.797,+19 -gluon_seresnext101_32x4d,45.590,54.410,61.143,38.857,48.96,224,0.875,bicubic,-48.860,-37.947,+115 -xcit_tiny_24_p16_384_dist,45.583,54.417,60.510,39.490,12.12,384,1.000,bicubic,-49.907,-38.620,-56 -xcit_small_24_p16_224,45.547,54.453,58.920,41.080,47.67,224,1.000,bicubic,-49.533,-40.100,+13 -xcit_medium_24_p16_224,45.540,54.460,59.000,41.000,84.40,224,1.000,bicubic,-49.590,-39.920,+5 -dm_nfnet_f0,45.483,54.517,60.983,39.017,71.49,256,0.900,bicubic,-50.207,-38.347,-84 -resnext101_64x4d,45.470,54.530,59.047,40.953,83.46,288,1.000,bicubic,-50.070,-40.243,-66 -gluon_resnet152_v1d,45.430,54.570,60.077,39.923,60.21,224,0.875,bicubic,-49.010,-39.103,+112 -nfnet_l0,45.420,54.580,62.080,37.920,35.07,288,1.000,bicubic,-49.970,-37.200,-42 -ssl_resnext50_32x4d,45.407,54.593,62.047,37.953,25.03,224,0.875,bilinear,-49.293,-36.783,+69 -resnetv2_50x1_bit_distilled,45.393,54.607,62.303,37.697,25.55,224,0.875,bicubic,-49.997,-36.907,-46 -cs3se_edgenet_x,45.393,54.607,60.427,39.573,50.72,320,1.000,bicubic,-50.617,-39.013,-138 -xcit_small_12_p16_224,45.387,54.613,59.417,40.583,26.25,224,1.000,bicubic,-49.443,-39.643,+48 -jx_nest_small,45.360,54.640,59.007,40.993,38.35,224,0.875,bicubic,-50.170,-40.203,-72 -pvt_v2_b2,45.297,54.703,60.620,39.380,25.36,224,0.900,bicubic,-49.713,-38.560,+16 -resnet61q,45.283,54.717,59.400,40.600,36.85,288,1.000,bicubic,-49.837,-39.800,-4 -cs3edgenet_x,45.253,54.747,60.257,39.743,47.82,288,1.000,bicubic,-50.197,-39.103,-60 -tresnet_xl_448,45.223,54.777,61.437,38.563,78.44,448,0.875,bilinear,-50.287,-37.903,-73 -nasnetalarge,45.210,54.790,57.883,42.117,88.75,331,0.911,bicubic,-49.940,-41.417,-15 -convit_small,45.203,54.797,60.510,39.490,27.78,224,0.875,bicubic,-49.717,-38.610,+25 -flexivit_small.600ep_in1k,45.197,54.803,59.413,40.587,22.06,240,0.950,bicubic,-50.073,-39.567,-39 -swin_small_patch4_window7_224,45.163,54.837,60.330,39.670,49.61,224,0.900,bicubic,-50.557,-39.040,-103 -resnet101,45.127,54.873,59.573,40.427,44.55,224,0.950,bicubic,-49.823,-39.497,+17 -tf_efficientnet_b3.aa_in1k,45.107,54.893,60.650,39.350,12.23,300,0.904,bicubic,-49.803,-38.370,+22 -sequencer2d_s,45.093,54.907,60.050,39.950,27.65,224,0.875,bicubic,-50.377,-39.220,-72 -rexnet_200,45.047,54.953,62.317,37.683,16.37,224,0.875,bicubic,-49.613,-36.833,+63 -maxxvit_rmlp_nano_rw_256,45.023,54.977,59.660,40.340,16.78,256,0.950,bicubic,-50.327,-39.660,-53 -resnetrs152,44.943,55.057,59.713,40.287,86.62,320,1.000,bicubic,-51.017,-39.667,-145 -resnetv2_101,44.937,55.063,58.850,41.150,44.54,224,0.950,bicubic,-49.983,-40.260,+15 -ecaresnetlight,44.890,55.110,60.770,39.230,30.16,224,0.875,bicubic,-49.250,-38.180,+129 -deit_base_patch16_224,44.870,55.130,59.177,40.823,86.57,224,0.900,bicubic,-50.140,-39.963,+2 -flexivit_small.300ep_in1k,44.867,55.133,59.343,40.657,22.06,240,0.950,bicubic,-50.283,-39.787,-29 -coatnet_bn_0_rw_224,44.813,55.187,60.903,39.097,27.44,224,0.950,bicubic,-50.167,-38.327,+1 -deit_base_patch16_384,44.777,55.223,59.617,40.383,86.86,384,1.000,bicubic,-50.873,-39.623,-106 -cait_xxs36_384,44.773,55.227,59.380,40.620,17.37,384,1.000,bicubic,-50.447,-39.940,-46 -resmlp_36_distilled_224,44.757,55.243,61.073,38.927,44.69,224,0.875,bicubic,-49.813,-38.087,+68 -gernet_l,44.740,55.260,58.943,41.057,31.08,256,0.875,bilinear,-50.190,-40.257,+5 -xcit_tiny_24_p16_224_dist,44.710,55.290,59.417,40.583,12.12,224,1.000,bicubic,-49.520,-39.403,+108 -resmlp_24_distilled_224,44.707,55.293,61.467,38.533,30.02,224,0.875,bicubic,-49.623,-37.593,+96 -tf_efficientnet_b2.ap_in1k,44.700,55.300,60.680,39.320,9.11,260,0.890,bicubic,-49.570,-38.100,+102 -swinv2_tiny_window16_256,44.573,55.427,59.570,40.430,28.35,256,0.900,bicubic,-50.787,-39.560,-69 -vit_relpos_small_patch16_224.sw_in1k,44.553,55.447,60.203,39.797,21.98,224,0.900,bicubic,-50.137,-38.547,+40 -gmlp_s16_224,44.473,55.527,58.630,41.370,19.42,224,0.875,bicubic,-49.027,-40.210,+200 -ens_adv_inception_resnet_v2,44.393,55.607,58.117,41.883,55.84,299,0.897,bicubic,-49.737,-40.843,+118 -tresnet_l,44.363,55.637,59.953,40.047,55.99,224,0.875,bilinear,-50.527,-39.237,+6 -gluon_resnext101_32x4d,44.290,55.710,59.090,40.910,44.18,224,0.875,bicubic,-49.830,-39.840,+117 -poolformer_m48,44.267,55.733,59.300,40.700,73.47,224,0.950,bicubic,-50.863,-39.920,-38 -gcvit_xtiny,44.237,55.763,59.963,40.037,19.98,224,0.875,bicubic,-50.773,-39.017,-18 -maxvit_rmlp_nano_rw_256,44.180,55.820,58.240,41.760,15.50,256,0.950,bicubic,-51.260,-40.820,-91 -wide_resnet50_2,44.177,55.823,59.727,40.273,68.88,224,0.875,bicubic,-50.493,-39.323,+37 -regnetz_c16_evos,44.160,55.840,61.060,38.940,13.49,320,0.950,bicubic,-51.460,-38.360,-121 -vit_srelpos_small_patch16_224.sw_in1k,44.137,55.863,59.710,40.290,21.97,224,0.900,bicubic,-50.413,-39.220,+54 -resnetv2_101x1_bitm,44.127,55.873,61.983,38.017,44.54,448,1.000,bilinear,-51.193,-37.387,-75 -seresnext50_32x4d,44.127,55.873,59.490,40.510,27.56,224,0.875,bicubic,-50.693,-39.640,+8 -crossvit_15_240,44.117,55.883,59.130,40.870,27.53,240,0.875,bicubic,-50.603,-39.930,+20 -gluon_resnet152_v1s,44.073,55.927,58.703,41.297,60.32,224,0.875,bicubic,-50.647,-40.477,+20 -pit_b_224,44.070,55.930,58.017,41.983,73.76,224,0.900,bicubic,-50.720,-40.803,+8 -poolformer_m36,44.027,55.973,59.060,40.940,56.17,224,0.950,bicubic,-50.983,-40.040,-26 -ssl_resnet50,44.010,55.990,61.887,38.113,25.56,224,0.875,bilinear,-50.300,-37.263,+79 -inception_resnet_v2,44.003,55.997,57.907,42.093,55.84,299,0.897,bicubic,-50.337,-40.893,+74 -pnasnet5large,43.950,56.050,56.730,43.270,86.06,331,0.911,bicubic,-51.410,-42.570,-88 -coatnext_nano_rw_224,43.907,56.093,58.653,41.347,14.70,224,0.900,bicubic,-50.943,-40.547,-4 -pit_s_224,43.890,56.110,58.627,41.373,23.46,224,0.900,bicubic,-50.700,-40.513,+36 -gluon_resnext101_64x4d,43.877,56.123,58.710,41.290,83.46,224,0.875,bicubic,-50.473,-40.170,+69 -coat_lite_small,43.823,56.177,57.147,42.853,19.84,224,0.900,bicubic,-51.257,-41.913,-47 -regnetv_040,43.787,56.213,58.457,41.543,20.64,288,1.000,bicubic,-51.943,-40.923,-151 -tnt_s_patch16_224,43.773,56.227,59.197,40.803,23.76,224,0.900,bicubic,-50.807,-39.853,+32 -swinv2_cr_small_224,43.773,56.227,57.703,42.297,49.70,224,0.900,bicubic,-51.637,-41.597,-104 -mobilevitv2_200_in22ft1k,43.770,56.230,59.493,40.507,18.45,256,0.888,bicubic,-51.280,-39.587,-42 -cait_xxs36_224,43.760,56.240,58.720,41.280,17.30,224,1.000,bicubic,-50.180,-40.310,+115 -cspresnext50,43.757,56.243,60.130,39.870,20.57,256,0.887,bilinear,-50.493,-38.920,+74 -ecaresnet50d,43.750,56.250,60.387,39.613,25.58,224,0.875,bicubic,-50.440,-38.543,+81 -ecaresnet101d_pruned,43.737,56.263,59.607,40.393,24.88,224,0.875,bicubic,-50.713,-39.493,+43 -swin_s3_tiny_224,43.710,56.290,59.497,40.503,28.33,224,0.900,bicubic,-51.190,-39.703,-25 -tf_efficientnetv2_s.in1k,43.710,56.290,58.597,41.403,21.46,384,1.000,bicubic,-52.000,-40.783,-155 -rexnet_150,43.690,56.310,60.897,39.103,9.73,224,0.875,bicubic,-50.580,-38.183,+65 -pit_xs_distilled_224,43.663,56.337,60.703,39.297,11.00,224,0.900,bicubic,-49.577,-38.147,+196 -xcit_tiny_12_p8_224_dist,43.640,56.360,58.457,41.543,6.71,224,1.000,bicubic,-51.080,-40.623,-4 -edgenext_small,43.620,56.380,59.887,40.113,5.59,320,1.000,bicubic,-51.210,-39.523,-20 -efficientformer_l1,43.587,56.413,59.927,40.073,12.29,224,0.950,bicubic,-50.353,-38.963,+102 -maxvit_nano_rw_256,43.537,56.463,57.600,42.400,15.45,256,0.950,bicubic,-51.953,-41.760,-132 -cs3sedarknet_x,43.520,56.480,58.793,41.207,35.40,288,1.000,bicubic,-51.880,-40.527,-118 -crossvit_small_240,43.470,56.530,58.933,41.067,26.86,240,0.875,bicubic,-51.110,-40.177,+18 -coatnet_rmlp_nano_rw_224,43.450,56.550,58.607,41.393,15.15,224,0.900,bicubic,-51.640,-40.563,-68 -gluon_resnet101_v1d,43.440,56.560,58.613,41.387,44.57,224,0.875,bicubic,-50.730,-40.397,+72 -ecaresnet50t,43.407,56.593,59.300,40.700,25.57,320,0.950,bicubic,-51.663,-39.820,-67 -gluon_resnet101_v1s,43.363,56.637,58.503,41.497,44.67,224,0.875,bicubic,-50.807,-40.437,+69 -cspdarknet53,43.357,56.643,59.430,40.570,27.64,256,0.887,bilinear,-50.733,-39.580,+77 -xcit_tiny_24_p8_224,43.313,56.687,57.280,42.720,12.11,224,1.000,bicubic,-51.577,-41.750,-39 -xcit_tiny_12_p8_384_dist,43.310,56.690,58.180,41.820,6.71,384,1.000,bicubic,-52.030,-41.140,-115 -dpn68b,43.287,56.713,58.673,41.327,12.61,224,0.875,bicubic,-50.333,-40.287,+136 -convmixer_768_32,43.267,56.733,59.367,40.633,21.11,224,0.960,bicubic,-51.153,-39.743,+29 -visformer_small,43.253,56.747,57.993,42.007,40.22,224,0.900,bicubic,-51.707,-41.217,-55 -eca_nfnet_l0,43.233,56.767,59.913,40.087,24.14,288,1.000,bicubic,-52.217,-39.367,-139 -regnety_064,43.227,56.773,57.237,42.763,30.58,288,1.000,bicubic,-52.563,-42.053,-188 -vit_relpos_base_patch32_plus_rpn_256.sw_in1k,43.163,56.837,58.427,41.573,119.42,256,0.900,bicubic,-49.997,-39.883,+185 -vit_small_patch32_384.augreg_in21k_ft_in1k,43.143,56.857,59.293,40.707,22.92,384,1.000,bicubic,-51.447,-39.807,0 -resnest26d,43.140,56.860,60.623,39.377,17.07,224,0.875,bilinear,-50.100,-38.197,+174 -twins_pcpvt_small,43.090,56.910,58.873,41.127,24.11,224,0.900,bicubic,-51.510,-40.277,-3 -resmlp_36_224,43.050,56.950,59.310,40.690,44.69,224,0.875,bicubic,-50.600,-39.600,+119 -coatnet_nano_rw_224,43.047,56.953,57.930,42.070,15.14,224,0.900,bicubic,-52.003,-41.220,-75 -dpn131,43.047,56.953,57.440,42.560,79.25,224,0.875,bicubic,-50.713,-41.360,+104 -cspresnet50,43.030,56.970,59.153,40.847,21.62,256,0.887,bilinear,-50.830,-39.737,+90 -tf_efficientnet_lite4.in1k,42.967,57.033,57.620,42.380,13.01,380,0.920,bilinear,-51.903,-41.470,-48 -twins_svt_small,42.923,57.077,58.453,41.547,24.06,224,0.900,bicubic,-51.847,-40.497,-38 -mobilevitv2_200_384_in22ft1k,42.920,57.080,58.980,41.020,18.45,384,1.000,bicubic,-52.470,-40.440,-138 -gluon_resnet152_v1b,42.903,57.097,57.750,42.250,60.19,224,0.875,bicubic,-51.127,-41.290,+67 -fbnetv3_d.ra2_in1k,42.873,57.127,59.693,40.307,10.31,256,0.950,bilinear,-50.967,-39.217,+88 -dpn107,42.857,57.143,57.367,42.633,86.92,224,0.875,bicubic,-51.103,-41.473,+71 -levit_256,42.823,57.177,57.897,42.103,18.89,224,0.900,bicubic,-51.577,-41.173,+14 -tf_efficientnet_b1.ap_in1k,42.803,57.197,58.813,41.187,7.79,240,0.882,bicubic,-50.827,-39.937,+113 -gcresnet50t,42.800,57.200,59.190,40.810,25.90,256,0.900,bicubic,-51.820,-39.950,-17 -gluon_resnet152_v1c,42.800,57.200,57.737,42.263,60.21,224,0.875,bicubic,-51.080,-41.003,+77 -gluon_xception65,42.793,57.207,58.820,41.180,39.92,299,0.903,bicubic,-51.217,-40.210,+63 -tresnet_l_448,42.753,57.247,58.947,41.053,55.99,448,0.875,bilinear,-52.657,-40.463,-154 -coatnet_0_rw_224,42.747,57.253,56.250,43.750,27.44,224,0.950,bicubic,-52.163,-42.860,-69 -cs3darknet_x,42.723,57.277,58.193,41.807,35.05,288,1.000,bicubic,-52.557,-41.087,-137 -resnet50d,42.707,57.293,58.697,41.303,25.58,224,0.875,bicubic,-51.363,-40.233,+50 -gluon_seresnext50_32x4d,42.683,57.317,58.710,41.290,27.56,224,0.875,bicubic,-51.487,-40.200,+39 -convnext_nano.d1h_in1k,42.673,57.327,57.560,42.440,15.59,288,1.000,bicubic,-52.197,-41.580,-66 -xcit_tiny_12_p16_384_dist,42.583,57.417,58.090,41.910,6.72,384,1.000,bicubic,-51.947,-41.080,-11 -regnety_040,42.570,57.430,57.027,42.973,20.65,288,1.000,bicubic,-52.910,-42.393,-172 -resnext101_32x8d,42.557,57.443,58.317,41.683,88.79,224,0.875,bilinear,-51.213,-40.633,+82 -nf_resnet50,42.510,57.490,59.520,40.480,25.56,288,0.940,bicubic,-51.890,-39.540,-1 -seresnet50,42.510,57.490,58.667,41.333,28.09,224,0.875,bicubic,-51.570,-40.303,+41 -mobilevitv2_175_in22ft1k,42.490,57.510,58.157,41.843,14.25,256,0.888,bicubic,-52.300,-40.933,-62 -resnetrs101,42.437,57.563,57.300,42.700,63.62,288,0.940,bicubic,-52.813,-41.910,-142 -poolformer_s36,42.323,57.677,58.743,41.257,30.86,224,0.900,bicubic,-52.307,-40.307,-38 -jx_nest_tiny,42.323,57.677,57.053,42.947,17.06,224,0.875,bicubic,-52.627,-42.047,-89 -tf_efficientnetv2_b3.in1k,42.313,57.687,57.940,42.060,14.36,300,0.904,bicubic,-52.807,-41.140,-119 -convmixer_1024_20_ks9_p14,42.280,57.720,59.713,40.287,24.38,224,0.960,bicubic,-50.060,-38.717,+214 -dpn98,42.280,57.720,56.880,43.120,61.57,224,0.875,bicubic,-51.660,-42.040,+51 -deit_small_patch16_224,42.263,57.737,58.020,41.980,22.05,224,0.900,bicubic,-51.737,-41.010,+46 -xcit_tiny_24_p16_224,42.260,57.740,56.830,43.170,12.12,224,1.000,bicubic,-51.590,-41.930,+61 -tf_efficientnet_cc_b1_8e.in1k,42.233,57.767,58.420,41.580,39.72,240,0.882,bicubic,-51.337,-40.270,+99 -legacy_senet154,42.207,57.793,56.597,43.403,115.09,224,0.875,bilinear,-52.523,-42.583,-63 -cait_xxs24_384,42.187,57.813,57.460,42.540,12.03,384,1.000,bicubic,-52.733,-41.680,-94 -xception41p,42.170,57.830,56.900,43.100,26.91,299,0.940,bicubic,-52.900,-42.320,-116 -tf_efficientnet_b2.aa_in1k,42.120,57.880,58.197,41.803,9.11,260,0.890,bicubic,-52.090,-40.853,+12 -convnext_nano_ols.d1h_in1k,42.047,57.953,56.880,43.120,15.65,288,1.000,bicubic,-52.533,-42.300,-37 -gluon_resnext50_32x4d,42.043,57.957,57.667,42.333,25.03,224,0.875,bicubic,-51.607,-41.283,+80 -resnext50_32x4d,41.987,58.013,56.767,43.233,25.03,224,0.950,bicubic,-52.583,-42.033,-37 -pvt_v2_b1,41.970,58.030,59.570,40.430,14.01,224,0.900,bicubic,-51.520,-39.200,+101 -ecaresnet50d_pruned,41.953,58.047,58.217,41.783,19.94,224,0.875,bicubic,-51.867,-40.783,+54 -mobilevitv2_150_in22ft1k,41.937,58.063,57.937,42.063,10.59,256,0.888,bicubic,-52.763,-40.983,-65 -efficientnet_b2.ra_in1k,41.933,58.067,58.300,41.700,9.11,288,1.000,bicubic,-52.437,-40.750,-17 -xcit_tiny_12_p16_224_dist,41.923,58.077,57.230,42.770,6.72,224,1.000,bicubic,-51.427,-41.440,+117 -gcvit_xxtiny,41.823,58.177,58.457,41.543,12.00,224,0.875,bicubic,-52.227,-40.613,+21 -mobilevitv2_150_384_in22ft1k,41.773,58.227,57.807,42.193,10.59,384,1.000,bicubic,-53.557,-41.323,-172 -edgenext_small_rw,41.687,58.313,58.513,41.487,7.83,320,1.000,bicubic,-52.673,-40.557,-18 -mobilevitv2_175_384_in22ft1k,41.683,58.317,57.997,42.003,14.25,384,1.000,bicubic,-53.577,-41.383,-167 -dla102x2,41.647,58.353,57.967,42.033,41.28,224,0.875,bilinear,-52.353,-40.993,+26 -hrnet_w64,41.637,58.363,57.130,42.870,128.06,224,0.875,bilinear,-52.193,-41.800,+44 -gluon_senet154,41.627,58.373,56.373,43.627,115.09,224,0.875,bicubic,-53.083,-42.757,-76 -poolformer_s24,41.600,58.400,58.437,41.563,21.39,224,0.900,bicubic,-52.730,-40.653,-19 -inception_v4,41.577,58.423,55.383,44.617,42.68,299,0.875,bicubic,-52.803,-43.437,-29 -haloregnetz_b,41.547,58.453,57.087,42.913,11.68,224,0.940,bicubic,-52.963,-41.883,-43 -swinv2_cr_tiny_ns_224,41.543,58.457,57.183,42.817,28.33,224,0.900,bicubic,-53.217,-41.927,-89 -cs3sedarknet_l,41.540,58.460,57.340,42.660,21.91,288,0.950,bicubic,-53.570,-41.870,-146 -convnext_tiny.fb_in22k_ft_in1k,41.533,58.467,55.470,44.530,28.59,288,1.000,bicubic,-52.017,-43.210,+76 -efficientnet_el.ra_in1k,41.497,58.503,58.303,41.697,10.59,300,0.904,bicubic,-53.173,-40.827,-75 -efficientnet_em.ra2_in1k,41.493,58.507,58.877,41.123,6.90,240,0.882,bicubic,-52.247,-40.103,+47 -tf_efficientnet_cc_b0_8e.in1k,41.487,58.513,57.377,42.623,24.01,224,0.875,bicubic,-51.383,-41.083,+145 -swin_tiny_patch4_window7_224,41.457,58.543,57.303,42.697,28.29,224,0.900,bicubic,-53.163,-41.727,-72 -halo2botnet50ts_256,41.457,58.543,56.210,43.790,22.64,256,0.950,bicubic,-53.573,-42.960,-135 -resnetv2_50,41.390,58.610,56.763,43.237,25.55,224,0.950,bicubic,-52.900,-42.167,-27 -swinv2_tiny_window8_256,41.387,58.613,57.117,42.883,28.35,256,0.900,bicubic,-53.643,-41.913,-139 -cait_xxs24_224,41.383,58.617,57.527,42.473,11.96,224,1.000,bicubic,-52.107,-41.333,+77 -tv_resnet152,41.327,58.673,57.520,42.480,60.19,224,0.875,bilinear,-51.913,-41.230,+105 -cs3darknet_l,41.290,58.710,57.353,42.647,21.16,288,0.950,bicubic,-53.390,-41.867,-86 -gcresnext50ts,41.270,58.730,57.140,42.860,15.67,256,0.900,bicubic,-53.140,-41.850,-49 -xception71,41.270,58.730,55.873,44.127,42.34,299,0.903,bicubic,-52.620,-43.017,+15 -dpn92,41.267,58.733,56.333,43.667,37.67,224,0.875,bicubic,-52.923,-42.687,-19 -adv_inception_v3,41.263,58.737,56.317,43.683,23.83,299,0.875,bicubic,-51.747,-42.513,+119 -gernet_s,41.247,58.753,58.830,41.170,8.17,224,0.875,bilinear,-51.193,-39.710,+165 -resnetv2_50d_evos,41.133,58.867,56.050,43.950,25.59,288,0.950,bicubic,-53.997,-43.150,-170 -resnetblur50,41.053,58.947,57.077,42.923,25.56,224,0.875,bicubic,-52.657,-41.713,+35 -nf_regnet_b1,41.013,58.987,58.120,41.880,10.22,288,0.900,bicubic,-52.867,-40.970,+13 -gluon_resnet50_v1d,40.970,59.030,57.137,42.863,25.58,224,0.875,bicubic,-52.560,-41.573,+60 -fbnetv3_b.ra2_in1k,40.947,59.053,58.653,41.347,8.60,256,0.950,bilinear,-52.703,-40.037,+40 -gluon_inception_v3,40.903,59.097,55.613,44.387,23.83,299,0.875,bicubic,-52.637,-43.217,+56 -cs3darknet_focus_l,40.890,59.110,56.637,43.363,21.15,288,0.950,bicubic,-53.900,-42.513,-119 -ese_vovnet39b,40.867,59.133,56.950,43.050,24.57,224,0.875,bicubic,-52.983,-41.950,+11 -levit_192,40.847,59.153,56.687,43.313,10.95,224,0.900,bicubic,-52.863,-42.133,+31 -regnety_320,40.813,59.187,56.117,43.883,145.05,224,0.875,bicubic,-53.707,-43.053,-74 -resnet34d,40.810,59.190,56.530,43.470,21.82,224,0.875,bicubic,-51.830,-41.890,+139 -resnetv2_50d_gn,40.777,59.223,56.210,43.790,25.57,288,0.950,bicubic,-54.323,-42.850,-172 -maxvit_rmlp_pico_rw_256,40.773,59.227,55.210,44.790,7.52,256,0.950,bicubic,-53.447,-43.790,-39 -xception,40.763,59.237,56.387,43.613,22.86,299,0.897,bicubic,-52.877,-42.383,+33 -lamhalobotnet50ts_256,40.747,59.253,56.090,43.910,22.57,256,0.950,bicubic,-54.033,-42.890,-124 -resnet50_gn,40.737,59.263,55.743,44.257,25.56,224,0.940,bicubic,-53.443,-43.177,-36 -skresnext50_32x4d,40.700,59.300,56.023,43.977,27.48,224,0.875,bicubic,-53.250,-42.797,-11 -vit_base_patch32_384.augreg_in1k,40.700,59.300,55.187,44.813,88.30,384,1.000,bicubic,-52.460,-43.423,+87 -gluon_resnet101_v1b,40.683,59.317,56.117,43.883,44.55,224,0.875,bicubic,-53.077,-42.583,+13 -hrnet_w40,40.660,59.340,56.753,43.247,57.56,224,0.875,bilinear,-53.050,-42.057,+18 -resmlp_24_224,40.653,59.347,56.573,43.427,30.02,224,0.875,bicubic,-52.787,-42.237,+57 -repvgg_b1,40.593,59.407,57.837,42.163,57.42,224,0.875,bilinear,-52.817,-40.953,+61 -halonet50ts,40.580,59.420,55.177,44.823,22.73,256,0.940,bicubic,-54.120,-44.063,-117 -tf_efficientnet_lite3.in1k,40.563,59.437,56.477,43.523,8.20,300,0.904,bilinear,-53.567,-42.493,-38 -tresnet_m_448,40.530,59.470,56.700,43.300,31.39,448,0.875,bilinear,-54.130,-42.390,-113 -mobilevitv2_175,40.530,59.470,56.280,43.720,14.25,256,0.888,bicubic,-53.700,-42.650,-53 -xcit_tiny_12_p8_224,40.530,59.470,55.630,44.370,6.71,224,1.000,bicubic,-53.830,-43.470,-71 -pit_xs_224,40.497,59.503,56.530,43.470,10.62,224,0.900,bicubic,-52.413,-42.160,+97 -dla169,40.493,59.507,57.263,42.737,53.39,224,0.875,bilinear,-53.307,-41.647,-1 -repvgg_b2,40.467,59.533,57.780,42.220,89.02,224,0.875,bilinear,-53.123,-41.060,+24 -resnetaa50,40.467,59.533,56.007,43.993,25.56,288,1.000,bicubic,-54.403,-43.113,-151 -vit_base_patch16_384.augreg_in1k,40.460,59.540,53.240,46.760,86.86,384,1.000,bicubic,-53.980,-45.780,-88 -regnetx_320,40.443,59.557,55.660,44.340,107.81,224,0.875,bicubic,-53.767,-43.290,-58 -coat_mini,40.420,59.580,55.167,44.833,10.34,224,0.900,bicubic,-54.350,-43.913,-141 -skresnet34,40.397,59.603,56.737,43.263,22.28,224,0.875,bicubic,-52.173,-41.683,+120 -efficientnet_el_pruned.in1k,40.390,59.610,56.903,43.097,10.59,300,0.904,bicubic,-53.700,-42.077,-47 -resnet50,40.387,59.613,54.673,45.327,25.56,224,0.950,bicubic,-53.533,-43.797,-26 -efficientnet_b2_pruned.in1k,40.383,59.617,56.537,43.463,8.31,260,0.890,bicubic,-53.417,-42.303,-11 -wide_resnet101_2,40.360,59.640,55.780,44.220,126.89,224,0.875,bilinear,-53.370,-43.030,-6 -coat_lite_mini,40.360,59.640,55.717,44.283,11.01,224,0.900,bicubic,-53.090,-42.933,+34 -legacy_seresnext101_32x4d,40.360,59.640,54.817,45.183,48.96,224,0.875,bilinear,-53.770,-43.973,-55 -sebotnet33ts_256,40.340,59.660,53.180,46.820,13.70,256,0.940,bicubic,-53.990,-45.400,-80 -tf_efficientnet_b0.ap_in1k,40.337,59.663,56.787,43.213,5.29,224,0.875,bicubic,-52.273,-41.583,+109 -regnetx_160,40.270,59.730,56.050,43.950,54.28,224,0.875,bicubic,-53.610,-42.750,-30 -densenet201,40.267,59.733,56.710,43.290,20.01,224,0.875,bicubic,-52.423,-41.940,+99 -resnext50d_32x4d,40.170,59.830,55.487,44.513,25.05,224,0.875,bicubic,-53.640,-43.253,-20 -eca_resnet33ts,40.137,59.863,57.003,42.997,19.68,256,0.900,bicubic,-53.723,-41.867,-30 -mobilevitv2_200,40.130,59.870,55.510,44.490,18.45,256,0.888,bicubic,-54.380,-43.450,-110 -darknetaa53,40.117,59.883,55.783,44.217,36.02,288,1.000,bilinear,-54.093,-43.247,-72 -vit_base_patch16_224.sam,40.097,59.903,55.430,44.570,86.57,224,0.900,bicubic,-53.793,-43.520,-37 -hrnet_w48,40.093,59.907,56.640,43.360,77.47,224,0.875,bilinear,-53.937,-42.360,-55 -legacy_seresnet152,40.043,59.957,55.820,44.180,66.82,224,0.875,bilinear,-53.397,-42.990,+24 -hrnet_w30,40.030,59.970,57.093,42.907,37.71,224,0.875,bilinear,-53.340,-41.737,+34 -regnetx_080,40.000,60.000,55.977,44.023,39.57,224,0.875,bicubic,-53.790,-42.933,-25 -regnetz_b16,40.000,60.000,55.627,44.373,9.72,288,0.940,bicubic,-54.680,-43.533,-145 -tf_efficientnet_b1.aa_in1k,39.977,60.023,56.137,43.863,7.79,240,0.882,bicubic,-53.733,-42.663,-17 -gluon_resnet101_v1c,39.953,60.047,55.300,44.700,44.57,224,0.875,bicubic,-53.737,-43.460,-16 -convnext_pico_ols.d1_in1k,39.870,60.130,55.620,44.380,9.06,288,1.000,bicubic,-54.160,-43.120,-60 -resmlp_12_distilled_224,39.843,60.157,57.440,42.560,15.35,224,0.875,bicubic,-53.027,-41.190,+73 -seresnet33ts,39.827,60.173,56.527,43.473,19.78,256,0.900,bicubic,-54.443,-42.423,-92 -tf_efficientnetv2_b0.in1k,39.787,60.213,56.283,43.717,7.14,224,0.875,bicubic,-53.273,-42.417,+50 -lambda_resnet50ts,39.733,60.267,54.337,45.663,21.54,256,0.950,bicubic,-54.817,-44.803,-128 -darknet53,39.723,60.277,55.293,44.707,41.61,288,1.000,bicubic,-54.647,-43.757,-110 -res2net101_26w_4s,39.717,60.283,54.550,45.450,45.21,224,0.875,bilinear,-53.803,-44.050,+1 -regnetx_120,39.687,60.313,55.633,44.367,46.11,224,0.875,bicubic,-54.583,-43.557,-100 -hrnet_w44,39.677,60.323,55.333,44.667,67.06,224,0.875,bilinear,-53.943,-43.367,-15 -vit_small_patch32_224.augreg_in21k_ft_in1k,39.670,60.330,55.253,44.747,22.88,224,0.900,bicubic,-52.480,-43.257,+113 -densenet161,39.620,60.380,56.133,43.867,28.68,224,0.875,bicubic,-53.280,-42.677,+60 -resmlp_big_24_224,39.620,60.380,54.817,45.183,129.14,224,0.875,bicubic,-54.640,-44.003,-100 -mixnet_xl.ra_in1k,39.617,60.383,55.887,44.113,11.90,224,0.875,bicubic,-54.613,-43.073,-97 -vit_small_patch16_384.augreg_in1k,39.617,60.383,54.253,45.747,22.20,384,1.000,bicubic,-55.003,-44.727,-154 -xception41,39.610,60.390,55.037,44.963,26.97,299,0.903,bicubic,-53.870,-43.713,-1 -res2net50_26w_8s,39.603,60.397,54.550,45.450,48.40,224,0.875,bilinear,-53.847,-44.230,+1 -tf_efficientnetv2_b1.in1k,39.570,60.430,55.343,44.657,8.14,240,0.882,bicubic,-54.140,-43.457,-38 -dla102x,39.553,60.447,56.323,43.677,26.31,224,0.875,bilinear,-53.977,-42.527,-12 -xcit_tiny_12_p16_224,39.553,60.447,55.027,44.973,6.72,224,1.000,bicubic,-52.907,-43.463,+86 -gcresnet33ts,39.550,60.450,55.830,44.170,19.88,256,0.900,bicubic,-54.270,-43.100,-52 -sehalonet33ts,39.550,60.450,54.020,45.980,13.69,256,0.940,bicubic,-54.970,-44.740,-141 -convnext_pico.d1_in1k,39.503,60.497,55.323,44.677,9.05,288,0.950,bicubic,-54.527,-43.617,-82 -rexnet_130,39.487,60.513,56.640,43.360,7.56,224,0.875,bicubic,-54.183,-42.070,-37 -hrnet_w32,39.463,60.537,56.123,43.877,41.23,224,0.875,bilinear,-53.487,-42.447,+42 -resnetv2_50x1_bitm,39.440,60.560,57.847,42.153,25.55,448,1.000,bilinear,-55.290,-41.343,-185 -levit_128,39.433,60.567,55.350,44.650,9.21,224,0.900,bicubic,-53.617,-43.340,+29 -densenetblur121d,39.380,60.620,56.640,43.360,8.00,224,0.875,bicubic,-53.020,-41.830,+85 -regnety_120,39.347,60.653,55.277,44.723,51.82,224,0.875,bicubic,-54.663,-43.743,-84 -mobilevitv2_150,39.333,60.667,55.210,44.790,10.59,256,0.888,bicubic,-54.717,-43.690,-91 -tv_resnet101,39.307,60.693,55.803,44.197,44.55,224,0.875,bilinear,-53.573,-42.857,+44 -tf_efficientnet_el.in1k,39.303,60.697,55.387,44.613,10.59,300,0.904,bicubic,-55.057,-43.653,-133 -tf_inception_v3,39.237,60.763,54.303,45.697,23.83,299,0.875,bicubic,-53.963,-44.177,+11 -gluon_resnet50_v1s,39.233,60.767,55.010,44.990,25.68,224,0.875,bicubic,-54.357,-44.060,-35 -tf_efficientnetv2_b2.in1k,39.180,60.820,54.570,45.430,10.10,260,0.890,bicubic,-54.890,-44.350,-99 -densenet169,39.167,60.833,55.843,44.157,14.15,224,0.875,bicubic,-53.133,-42.747,+81 -legacy_seresnet101,39.037,60.963,55.003,44.997,49.33,224,0.875,bilinear,-54.223,-43.737,0 -efficientnet_b1_pruned.in1k,39.010,60.990,55.647,44.353,6.33,240,0.882,bicubic,-53.970,-42.973,+28 -repvgg_b1g4,38.990,61.010,56.350,43.650,39.97,224,0.875,bilinear,-54.040,-42.360,+19 -crossvit_9_dagger_240,38.977,61.023,54.850,45.150,8.78,240,0.875,bicubic,-53.783,-43.810,+47 -inception_v3,38.963,61.037,53.850,46.150,23.83,299,0.875,bicubic,-53.937,-44.870,+33 -dpn68,38.933,61.067,54.933,45.067,12.61,224,0.875,bicubic,-53.307,-43.677,+78 -resnet33ts,38.920,61.080,55.580,44.420,19.68,256,0.900,bicubic,-54.710,-43.220,-49 -legacy_seresnext50_32x4d,38.877,61.123,54.593,45.407,27.56,224,0.875,bilinear,-54.553,-44.207,-20 -dla102,38.833,61.167,55.323,44.677,33.27,224,0.875,bilinear,-54.427,-43.457,-9 -densenet121,38.783,61.217,56.273,43.727,7.98,224,0.875,bicubic,-53.157,-42.127,+87 -resnet32ts,38.770,61.230,55.813,44.187,17.96,256,0.900,bicubic,-54.800,-42.937,-45 -res2net50_14w_8s,38.710,61.290,54.077,45.923,25.06,224,0.875,bilinear,-54.320,-44.623,+12 -regnetx_040,38.703,61.297,55.340,44.660,22.12,224,0.875,bicubic,-54.977,-43.600,-63 -res2net50_26w_6s,38.687,61.313,53.743,46.257,37.05,224,0.875,bilinear,-54.903,-45.007,-50 -regnetx_032,38.680,61.320,55.157,44.843,15.30,224,0.875,bicubic,-54.570,-43.693,-11 -selecsls60,38.623,61.377,55.630,44.370,30.67,224,0.875,bicubic,-54.387,-42.860,+9 -dla60x,38.617,61.383,55.383,44.617,17.35,224,0.875,bilinear,-54.573,-43.327,-8 -tf_efficientnet_b0.aa_in1k,38.600,61.400,55.957,44.043,5.29,224,0.875,bicubic,-53.800,-42.453,+58 -dla60_res2net,38.590,61.410,54.560,45.440,20.85,224,0.875,bilinear,-54.790,-44.300,-25 -selecsls60b,38.573,61.427,55.307,44.693,32.77,224,0.875,bicubic,-54.927,-43.473,-45 -repvgg_a2,38.563,61.437,55.770,44.230,28.21,224,0.875,bilinear,-54.117,-42.750,+33 -hardcorenas_f,38.500,61.500,55.657,44.343,8.20,224,0.875,bilinear,-54.480,-42.873,+7 -dla60_res2next,38.450,61.550,54.950,45.050,17.03,224,0.875,bilinear,-55.120,-43.850,-58 -resmlp_12_224,38.443,61.557,56.327,43.673,15.35,224,0.875,bicubic,-53.677,-42.243,+66 -regnetx_064,38.430,61.570,54.990,45.010,26.21,224,0.875,bicubic,-55.200,-44.060,-69 -tf_efficientnet_cc_b0_4e.in1k,38.413,61.587,55.150,44.850,13.31,224,0.875,bicubic,-54.427,-43.290,+18 -gluon_resnet50_v1b,38.407,61.593,54.833,45.167,25.56,224,0.875,bicubic,-54.153,-43.717,+38 -hrnet_w18,38.277,61.723,55.643,44.357,21.30,224,0.875,bilinear,-54.483,-42.967,+21 -tinynet_a.in1k,38.220,61.780,55.177,44.823,6.19,192,0.875,bicubic,-54.580,-43.383,+18 -poolformer_s12,38.173,61.827,56.187,43.813,11.92,224,0.900,bicubic,-54.297,-42.163,+39 -mixnet_l.ft_in1k,38.160,61.840,54.757,45.243,7.33,224,0.875,bicubic,-55.100,-43.943,-29 -hardcorenas_e,38.137,61.863,55.173,44.827,8.07,224,0.875,bilinear,-54.813,-43.667,0 -efficientnet_b1.ft_in1k,38.087,61.913,54.010,45.990,7.79,256,1.000,bicubic,-54.943,-44.810,-10 -coat_lite_tiny,38.070,61.930,53.453,46.547,5.72,224,0.900,bicubic,-54.780,-45.187,+8 -gmixer_24_224,38.050,61.950,52.083,47.917,24.72,224,0.875,bicubic,-54.630,-46.497,+20 -vit_base_patch16_224.augreg_in1k,38.037,61.963,50.687,49.313,86.57,224,0.900,bicubic,-55.313,-48.053,-38 -resnetrs50,37.957,62.043,53.310,46.690,35.69,224,0.910,bicubic,-56.063,-45.540,-129 -hardcorenas_c,37.883,62.117,55.717,44.283,5.52,224,0.875,bilinear,-54.447,-42.623,+41 -mobilevitv2_125,37.877,62.123,54.060,45.940,7.48,256,0.888,bicubic,-55.583,-44.800,-59 -gluon_resnet50_v1c,37.843,62.157,54.123,45.877,25.58,224,0.875,bicubic,-55.067,-44.587,-6 -res2net50_26w_4s,37.827,62.173,53.073,46.927,25.70,224,0.875,bilinear,-55.353,-45.597,-31 -efficientnet_es.ra_in1k,37.770,62.230,54.967,45.033,5.44,224,0.875,bicubic,-55.140,-43.813,-7 -resnest14d,37.767,62.233,56.470,43.530,10.61,224,0.875,bilinear,-53.363,-41.860,+84 -tv_resnext50_32x4d,37.750,62.250,54.113,45.887,25.03,224,0.875,bilinear,-55.150,-44.217,-7 -convnext_femto.d1_in1k,37.740,62.260,54.123,45.877,5.22,288,0.950,bicubic,-55.700,-44.727,-60 -resnet26t,37.707,62.293,55.257,44.743,16.01,256,0.940,bicubic,-54.973,-43.023,+7 -ecaresnet26t,37.650,62.350,54.350,45.650,16.01,320,0.950,bicubic,-56.290,-44.570,-130 -vit_base_patch32_224.augreg_in1k,37.557,62.443,51.813,48.187,88.22,224,0.900,bicubic,-53.033,-45.907,+92 -hardcorenas_d,37.550,62.450,54.723,45.277,7.50,224,0.875,bilinear,-55.050,-43.707,+12 -res2next50,37.477,62.523,52.853,47.147,24.67,224,0.875,bilinear,-55.673,-45.807,-35 -resnet34,37.443,62.557,54.297,45.703,21.80,224,0.875,bilinear,-53.757,-43.753,+70 -pit_ti_distilled_224,37.337,62.663,55.137,44.863,5.10,224,0.900,bicubic,-53.563,-43.083,+83 -lambda_resnet26t,37.300,62.700,53.570,46.430,10.96,256,0.940,bicubic,-56.100,-45.170,-61 -convnext_femto_ols.d1_in1k,37.260,62.740,53.053,46.947,5.23,288,0.950,bicubic,-56.130,-45.857,-61 -hardcorenas_b,37.243,62.757,55.073,44.927,5.18,224,0.875,bilinear,-54.697,-43.207,+41 -mobilenetv3_large_100.miil_in21k_ft_in1k,37.210,62.790,53.513,46.487,5.48,224,0.875,bilinear,-55.040,-44.737,+27 -eca_halonext26ts,37.187,62.813,53.113,46.887,10.76,256,0.940,bicubic,-56.363,-45.467,-89 -cs3darknet_focus_m,37.140,62.860,53.910,46.090,9.30,288,0.950,bicubic,-55.970,-44.830,-41 -res2net50_48w_2s,37.117,62.883,53.333,46.667,25.29,224,0.875,bilinear,-55.673,-45.137,-11 -lambda_resnet26rpt_256,37.093,62.907,53.860,46.140,10.99,256,0.940,bicubic,-56.337,-45.020,-73 -vit_small_patch16_224.augreg_in1k,37.093,62.907,51.533,48.467,22.05,224,0.900,bicubic,-56.337,-47.247,-72 -dla60,37.073,62.927,54.200,45.800,22.04,224,0.875,bilinear,-55.597,-44.450,-5 -rexnet_100,37.063,62.937,54.020,45.980,4.80,224,0.875,bicubic,-55.787,-44.600,-21 -bat_resnext26ts,37.063,62.937,53.743,46.257,10.73,256,0.900,bicubic,-56.037,-44.977,-45 -regnety_016,37.017,62.983,54.093,45.907,11.20,224,0.875,bicubic,-55.983,-44.587,-38 -tf_mixnet_l.in1k,36.987,63.013,52.583,47.417,7.33,224,0.875,bicubic,-56.053,-45.957,-45 -botnet26t_256,36.970,63.030,53.083,46.917,12.49,256,0.950,bicubic,-56.480,-45.617,-84 -legacy_seresnet50,36.873,63.127,53.487,46.513,28.09,224,0.875,bilinear,-55.797,-45.143,-12 -halonet26t,36.850,63.150,52.290,47.710,12.48,256,0.950,bicubic,-56.760,-46.350,-108 -tv_densenet121,36.810,63.190,54.033,45.967,7.98,224,0.875,bicubic,-54.590,-44.217,+45 -tf_efficientnet_lite2.in1k,36.807,63.193,53.320,46.680,6.09,260,0.890,bicubic,-55.783,-45.230,-9 -mobilenetv2_120d.ra_in1k,36.780,63.220,54.047,45.953,5.83,224,0.875,bicubic,-55.830,-44.463,-13 -tf_efficientnet_lite1.in1k,36.737,63.263,53.590,46.410,5.42,240,0.882,bicubic,-55.573,-44.900,+7 -regnetx_016,36.683,63.317,53.297,46.703,9.19,224,0.875,bicubic,-55.857,-45.253,-8 -eca_botnext26ts_256,36.670,63.330,52.467,47.533,10.59,256,0.950,bicubic,-56.690,-46.233,-79 -hardcorenas_a,36.640,63.360,54.910,45.090,5.26,224,0.875,bilinear,-54.980,-43.260,+30 -levit_128s,36.620,63.380,53.117,46.883,7.78,224,0.900,bicubic,-54.880,-45.283,+33 -efficientnet_b0.ra_in1k,36.600,63.400,53.497,46.503,5.29,224,0.875,bicubic,-55.880,-45.183,-11 -vit_base_patch32_224.sam,36.550,63.450,53.040,46.960,88.22,224,0.900,bicubic,-53.310,-44.560,+74 -xcit_nano_12_p8_224_dist,36.530,63.470,52.880,47.120,3.05,224,1.000,bicubic,-55.900,-45.650,-6 -cs3darknet_m,36.467,63.533,53.217,46.783,9.31,288,0.950,bicubic,-56.813,-45.503,-82 -mobilevitv2_100,36.387,63.613,53.070,46.930,4.90,256,0.888,bicubic,-56.753,-45.690,-66 -tf_efficientnet_em.in1k,36.380,63.620,52.840,47.160,6.90,240,0.882,bicubic,-56.790,-45.830,-72 -skresnet18,36.320,63.680,54.197,45.803,11.96,224,0.875,bicubic,-53.840,-43.583,+65 -repvgg_b0,36.287,63.713,54.057,45.943,15.82,224,0.875,bilinear,-55.393,-44.393,+18 -tv_resnet50,36.177,63.823,52.803,47.197,25.56,224,0.875,bilinear,-55.963,-45.617,+3 -xcit_nano_12_p16_384_dist,36.153,63.847,53.250,46.750,3.05,384,1.000,bicubic,-55.957,-45.270,+4 -legacy_seresnet34,36.143,63.857,52.553,47.447,21.96,224,0.875,bilinear,-55.337,-45.767,+24 -coat_tiny,36.123,63.877,51.063,48.937,5.50,224,0.900,bicubic,-57.387,-47.627,-115 -tv_resnet34,36.087,63.913,53.533,46.467,21.80,224,0.875,bilinear,-54.203,-44.447,+57 -deit_tiny_distilled_patch16_224,36.023,63.977,54.240,45.760,5.91,224,0.900,bicubic,-55.077,-44.030,+39 -mobilenetv2_140.ra_in1k,36.000,64.000,53.943,46.057,6.11,224,0.875,bicubic,-56.030,-44.307,+1 -tf_efficientnet_lite0.in1k,35.930,64.070,53.480,46.520,4.65,224,0.875,bicubic,-55.370,-44.610,+24 -seresnext26ts,35.833,64.167,53.913,46.087,10.39,256,0.900,bicubic,-56.997,-44.687,-49 -selecsls42b,35.813,64.187,52.487,47.513,32.46,224,0.875,bicubic,-56.667,-45.953,-27 -convnext_atto.d2_in1k,35.787,64.213,52.320,47.680,3.70,288,0.950,bicubic,-56.973,-46.190,-46 -xcit_nano_12_p8_384_dist,35.770,64.230,52.290,47.710,3.05,384,1.000,bicubic,-57.480,-46.440,-94 -gluon_resnet34_v1b,35.760,64.240,52.187,47.813,21.80,224,0.875,bicubic,-55.340,-45.993,+33 -dla34,35.643,64.357,52.783,47.217,15.74,224,0.875,bilinear,-55.597,-45.397,+21 -mixnet_m.ft_in1k,35.640,64.360,52.430,47.570,5.01,224,0.875,bicubic,-56.630,-45.920,-18 -efficientnet_lite0.ra_in1k,35.620,64.380,53.657,46.343,4.65,224,0.875,bicubic,-55.640,-44.593,+18 -ssl_resnet18,35.597,64.403,53.740,46.260,11.69,224,0.875,bilinear,-55.103,-44.280,+36 -mobilenetv3_rw.rmsp_in1k,35.547,64.453,53.713,46.287,5.48,224,0.875,bicubic,-56.003,-44.557,+6 -efficientnet_es_pruned.in1k,35.390,64.610,52.850,47.150,5.44,224,0.875,bicubic,-56.310,-45.570,-2 -convnext_atto_ols.a2_in1k,35.387,64.613,51.390,48.610,3.70,288,0.950,bicubic,-57.593,-47.290,-77 -mobilenetv2_110d.ra_in1k,35.293,64.707,52.830,47.170,4.52,224,0.875,bicubic,-56.057,-45.360,+10 -tf_mixnet_m.in1k,35.180,64.820,50.987,49.013,5.01,224,0.875,bicubic,-57.020,-47.433,-20 -hrnet_w18_small_v2,35.173,64.827,52.440,47.560,15.60,224,0.875,bilinear,-55.997,-45.900,+17 -resnet18d,35.127,64.873,52.890,47.110,11.71,224,0.875,bicubic,-54.863,-44.940,+42 -xcit_nano_12_p16_224_dist,35.123,64.877,52.557,47.443,3.05,224,1.000,bicubic,-55.027,-45.203,+40 -eca_resnext26ts,35.050,64.950,52.303,47.697,10.30,256,0.900,bicubic,-57.370,-46.317,-36 -convit_tiny,35.047,64.953,51.787,48.213,5.71,224,0.875,bicubic,-55.483,-46.423,+31 -resnext26ts,35.040,64.960,53.423,46.577,10.30,256,0.900,bicubic,-57.170,-44.827,-27 -gcresnext26ts,34.933,65.067,51.677,48.323,10.48,256,0.900,bicubic,-57.527,-46.953,-43 -tinynet_b.in1k,34.873,65.127,52.017,47.983,3.73,188,0.875,bicubic,-56.247,-46.223,+14 -ese_vovnet19b_dw,34.840,65.160,52.030,47.970,6.54,224,0.875,bicubic,-57.170,-46.480,-22 -regnety_008,34.807,65.193,51.743,48.257,6.26,224,0.875,bicubic,-57.093,-46.677,-18 -pit_ti_224,34.670,65.330,52.170,47.830,4.85,224,0.900,bicubic,-55.750,-45.840,+27 -mobilenetv3_large_100.ra_in1k,34.603,65.397,52.860,47.140,5.48,224,0.875,bicubic,-56.877,-45.340,-8 -crossvit_9_240,34.590,65.410,51.783,48.217,8.55,240,0.875,bicubic,-56.460,-46.527,+13 -seresnext26d_32x4d,34.543,65.457,51.543,48.457,16.81,224,0.875,bicubic,-57.897,-46.957,-49 -seresnext26t_32x4d,34.540,65.460,51.377,48.623,16.81,224,0.875,bicubic,-58.280,-47.183,-76 -mixer_b16_224,34.427,65.573,48.087,51.913,59.88,224,0.875,bicubic,-56.713,-49.313,+3 -pvt_v2_b0,34.393,65.607,53.093,46.907,3.67,224,0.900,bicubic,-54.587,-44.597,+42 -resnet26d,34.273,65.727,51.687,48.313,16.01,224,0.875,bicubic,-57.957,-46.763,-40 -tf_efficientnet_es.in1k,34.263,65.737,51.350,48.650,5.44,224,0.875,bicubic,-57.837,-47.090,-34 -fbnetc_100.rmsp_in1k,34.253,65.747,51.180,48.820,5.57,224,0.875,bilinear,-57.017,-46.650,-9 -regnety_006,34.150,65.850,51.277,48.723,6.06,224,0.875,bicubic,-57.420,-46.903,-21 -tf_mobilenetv3_large_100.in1k,33.947,66.053,51.490,48.510,5.48,224,0.875,bilinear,-57.473,-46.770,-15 -semnasnet_075.rmsp_in1k,33.790,66.210,52.427,47.573,2.91,224,0.875,bicubic,-56.410,-45.543,+18 -regnetx_008,33.770,66.230,50.547,49.453,7.26,224,0.875,bicubic,-57.410,-47.833,-7 -mnasnet_100.rmsp_in1k,33.763,66.237,51.170,48.830,4.38,224,0.875,bicubic,-57.437,-47.070,-10 -lcnet_100.ra2_in1k,33.750,66.250,52.103,47.897,2.95,224,0.875,bicubic,-55.210,-45.287,+35 -vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k,33.650,66.350,50.683,49.317,6.36,384,1.000,bicubic,-58.080,-47.747,-33 -mobilevit_s,33.637,66.363,49.277,50.723,5.58,256,0.900,bicubic,-59.523,-49.493,-123 -xcit_nano_12_p8_224,33.583,66.417,50.220,49.780,3.05,224,1.000,bicubic,-57.537,-47.850,-8 -vit_tiny_patch16_384.augreg_in21k_ft_in1k,33.550,66.450,51.077,48.923,5.79,384,1.000,bicubic,-59.870,-47.753,-147 -semnasnet_100.rmsp_in1k,33.520,66.480,50.787,49.213,3.89,224,0.875,bicubic,-58.140,-47.483,-33 -resnet26,33.500,66.500,50.927,49.073,16.00,224,0.875,bicubic,-57.940,-47.353,-26 -mixnet_s.ft_in1k,33.480,66.520,50.997,49.003,4.13,224,0.875,bicubic,-58.300,-47.303,-40 -spnasnet_100.rmsp_in1k,33.477,66.523,51.267,48.733,4.42,224,0.875,bilinear,-57.133,-46.683,-2 -mobilevitv2_075,33.360,66.640,50.100,49.900,2.87,256,0.888,bicubic,-58.620,-48.200,-47 -crossvit_tiny_240,33.357,66.643,49.900,50.100,7.01,240,0.875,bicubic,-57.183,-48.090,-1 -vgg19_bn,33.230,66.770,50.803,49.197,143.68,224,0.875,bilinear,-57.760,-47.307,-10 -ghostnet_100,33.207,66.793,51.163,48.837,5.18,224,0.875,bilinear,-57.233,-46.667,-1 -regnetx_006,33.157,66.843,50.250,49.750,6.20,224,0.875,bicubic,-57.603,-47.850,-9 -edgenext_x_small,33.113,66.887,48.977,51.023,2.34,288,1.000,bicubic,-58.457,-49.453,-39 -resnet18,33.067,66.933,51.170,48.830,11.69,224,0.875,bilinear,-55.083,-45.950,+25 -xcit_nano_12_p16_224,32.963,67.037,49.987,50.013,3.05,224,1.000,bicubic,-55.997,-47.373,+18 -legacy_seresnext26_32x4d,32.757,67.243,49.237,50.763,16.79,224,0.875,bicubic,-59.813,-49.283,-86 -hrnet_w18_small,32.667,67.333,50.587,49.413,13.19,224,0.875,bilinear,-57.213,-47.313,0 -deit_tiny_patch16_224,32.667,67.333,50.273,49.727,5.72,224,0.900,bicubic,-56.953,-47.687,+6 -legacy_seresnet18,32.600,67.400,50.340,49.660,11.78,224,0.875,bicubic,-56.670,-47.340,+8 -mobilenetv2_100.ra_in1k,32.523,67.477,50.800,49.200,3.50,224,0.875,bicubic,-57.307,-47.030,0 -regnetx_004,32.517,67.483,49.343,50.657,5.16,224,0.875,bicubic,-56.943,-48.427,+3 -gluon_resnet18_v1b,32.407,67.593,49.727,50.273,11.69,224,0.875,bicubic,-56.253,-47.373,+13 -regnety_004,32.333,67.667,49.453,50.547,4.34,224,0.875,bicubic,-58.447,-48.627,-21 -tf_mixnet_s.in1k,32.183,67.817,48.493,51.507,4.13,224,0.875,bicubic,-59.497,-49.747,-54 -vit_tiny_patch16_224.augreg_in21k_ft_in1k,32.023,67.977,49.017,50.983,5.72,224,0.900,bicubic,-59.907,-49.323,-61 -tf_mobilenetv3_large_075.in1k,31.867,68.133,49.110,50.890,3.99,224,0.875,bilinear,-58.453,-48.760,-14 -tf_mobilenetv3_large_minimal_100.in1k,31.597,68.403,49.337,50.663,3.92,224,0.875,bilinear,-57.583,-47.983,+2 -vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k,30.807,69.193,47.657,52.343,6.34,224,0.900,bicubic,-58.533,-50.043,-2 -tinynet_c.in1k,30.507,69.493,48.487,51.513,2.46,184,0.875,bicubic,-57.913,-48.783,+7 -lcnet_075.ra2_in1k,30.367,69.633,48.760,51.240,2.36,224,0.875,bicubic,-56.573,-47.770,+16 -vgg16_bn,30.357,69.643,47.260,52.740,138.37,224,0.875,bilinear,-60.183,-50.680,-24 -edgenext_xx_small,29.730,70.270,46.493,53.507,1.33,288,1.000,bicubic,-60.050,-51.027,-11 -regnety_002,29.687,70.313,46.787,53.213,3.16,224,0.875,bicubic,-58.513,-50.643,+5 -resnet10t,29.613,70.387,47.843,52.157,5.44,224,0.950,bilinear,-57.077,-48.827,+13 -mobilevit_xs,29.590,70.410,46.003,53.997,2.32,256,0.900,bicubic,-61.600,-52.217,-46 -mobilenetv3_small_100.lamb_in1k,29.047,70.953,47.183,52.817,2.54,224,0.875,bicubic,-57.123,-49.287,+12 -mnasnet_small.lamb_in1k,28.950,71.050,47.270,52.730,2.03,224,0.875,bicubic,-56.560,-48.710,+13 -vgg13_bn,28.883,71.117,46.737,53.263,133.05,224,0.875,bilinear,-60.317,-50.793,-10 -regnetx_002,28.860,71.140,45.420,54.580,2.68,224,0.875,bicubic,-58.520,-51.570,+3 -mobilenetv2_050.lamb_in1k,28.677,71.323,46.600,53.400,1.97,224,0.875,bicubic,-56.313,-49.020,+13 -vgg19,28.580,71.420,45.170,54.830,143.67,224,0.875,bilinear,-61.100,-52.380,-19 -mobilevitv2_050,28.563,71.437,45.197,54.803,1.37,256,0.888,bicubic,-60.467,-52.393,-11 -dla60x_c,28.447,71.553,46.193,53.807,1.32,224,0.875,bilinear,-58.663,-50.947,+1 -vgg11_bn,28.423,71.577,46.453,53.547,132.87,224,0.875,bilinear,-59.967,-50.817,-7 -resnet14t,28.087,71.913,45.303,54.697,10.08,224,0.950,bilinear,-61.023,-52.067,-15 -tinynet_d.in1k,27.960,72.040,45.853,54.147,2.34,152,0.875,bicubic,-57.470,-50.157,+6 -vgg16,27.877,72.123,44.673,55.327,138.36,224,0.875,bilinear,-61.483,-52.847,-22 -tf_mobilenetv3_small_100.in1k,27.297,72.703,44.420,55.580,2.54,224,0.875,bilinear,-58.663,-51.980,+1 -mixer_l16_224,26.853,73.147,37.923,62.077,208.20,224,0.875,bicubic,-60.117,-56.137,-4 -vgg11,26.533,73.467,43.460,56.540,132.86,224,0.875,bilinear,-60.807,-53.650,-7 -mobilenetv3_small_075.lamb_in1k,26.530,73.470,43.887,56.113,2.04,224,0.875,bicubic,-57.590,-51.613,+5 -mobilevit_xxs,26.340,73.660,43.033,56.967,1.27,256,0.900,bicubic,-61.610,-54.147,-12 -vgg13,26.267,73.733,43.370,56.630,133.05,224,0.875,bilinear,-61.303,-53.750,-12 -lcnet_050.ra2_in1k,26.217,73.783,44.577,55.423,1.88,224,0.875,bicubic,-56.783,-50.433,+2 -dla46x_c,26.217,73.783,43.780,56.220,1.07,224,0.875,bilinear,-59.263,-52.660,-3 -tf_mobilenetv3_small_075.in1k,26.200,73.800,43.637,56.363,2.04,224,0.875,bilinear,-58.330,-52.253,-1 -dla46_c,25.490,74.510,43.800,56.200,1.30,224,0.875,bilinear,-59.170,-52.400,-3 -tf_mobilenetv3_small_minimal_100.in1k,25.087,74.913,42.930,57.070,2.04,224,0.875,bilinear,-57.583,-52.070,0 -tinynet_e.in1k,23.363,76.637,41.080,58.920,2.04,106,0.875,bicubic,-56.447,-52.900,0 -mobilenetv3_small_050.lamb_in1k,21.740,78.260,38.760,61.240,1.59,224,0.875,bicubic,-56.360,-54.250,0 +convnext_xxlarge.clip_laion2b_soup_ft_in1k,90.623,9.377,97.913,2.087,846.47,256,1.000,bicubic,-7.127,-1.897,+18 +eva_giant_patch14_336.clip_ft_in1k,90.550,9.450,97.230,2.770,"1,013.01",336,1.000,bicubic,-7.310,-2.650,+6 +eva02_large_patch14_448.mim_m38m_ft_in1k,90.460,9.540,97.267,2.733,305.08,448,1.000,bicubic,-7.370,-2.553,+6 +eva02_large_patch14_448.mim_m38m_ft_in22k_in1k,90.297,9.703,97.170,2.830,305.08,448,1.000,bicubic,-7.733,-2.720,-2 +eva_giant_patch14_224.clip_ft_in1k,89.843,10.157,97.023,2.977,"1,012.56",224,0.900,bicubic,-7.727,-2.687,+29 +eva_giant_patch14_336.m30m_ft_in22k_in1k,88.590,11.410,95.920,4.080,"1,013.01",336,1.000,bicubic,-9.400,-3.980,-2 +eva_giant_patch14_560.m30m_ft_in22k_in1k,88.397,11.603,95.610,4.390,"1,014.45",560,1.000,bicubic,-9.603,-4.250,-4 +regnety_1280.swag_ft_in1k,88.257,11.743,96.477,3.523,644.81,384,1.000,bicubic,-9.523,-3.383,+6 +eva02_large_patch14_448.mim_in22k_ft_in22k_in1k,87.983,12.017,95.610,4.390,305.08,448,1.000,bicubic,-10.177,-4.270,-8 +eva02_large_patch14_448.mim_in22k_ft_in1k,87.587,12.413,95.733,4.267,305.08,448,1.000,bicubic,-10.273,-4.057,-3 +regnety_1280.swag_lc_in1k,86.947,13.053,95.737,4.263,644.81,224,0.965,bicubic,-10.443,-4.003,+36 +convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384,84.437,15.563,94.297,5.703,200.13,384,1.000,bicubic,-12.953,-5.433,+34 +vit_large_patch14_clip_336.openai_ft_in12k_in1k,83.927,16.073,93.873,6.127,304.53,336,1.000,bicubic,-13.673,-5.857,+18 +vit_large_patch14_clip_336.laion2b_ft_in1k,83.617,16.383,93.513,6.487,304.53,336,1.000,bicubic,-13.613,-6.207,+62 +eva_large_patch14_336.in22k_ft_in1k,83.520,16.480,93.103,6.897,304.53,336,1.000,bicubic,-14.290,-6.757,-4 +vit_huge_patch14_clip_224.laion2b_ft_in1k,83.263,16.737,93.133,6.867,632.05,224,1.000,bicubic,-13.837,-6.557,+79 +vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,83.047,16.953,92.837,7.163,632.46,336,1.000,bicubic,-14.563,-6.943,+12 +vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k,82.797,17.203,92.613,7.387,632.05,224,1.000,bicubic,-14.563,-7.187,+36 +vit_large_patch14_clip_224.openai_ft_in1k,82.320,17.680,92.910,7.090,304.20,224,1.000,bicubic,-15.120,-6.770,+24 +convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384,82.217,17.783,92.433,7.567,200.13,384,1.000,bicubic,-15.253,-7.327,+19 +vit_large_patch14_clip_224.laion2b_ft_in1k,81.703,18.297,92.260,7.740,304.20,224,1.000,bicubic,-15.317,-7.410,+89 +convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320,81.347,18.653,91.963,8.037,200.13,320,1.000,bicubic,-15.913,-7.747,+47 +regnety_320.swag_lc_in1k,81.317,18.683,93.153,6.847,145.05,224,0.965,bicubic,-15.463,-6.467,+120 +eva_large_patch14_196.in22k_ft_in1k,81.300,18.700,91.530,8.470,304.14,196,1.000,bicubic,-16.220,-8.260,+12 +regnety_320.swag_ft_in1k,81.200,18.800,92.703,7.297,145.05,384,1.000,bicubic,-16.180,-7.017,+23 +convnext_large_mlp.clip_laion2b_augreg_ft_in1k,80.870,19.130,91.913,8.087,200.13,256,1.000,bicubic,-16.260,-7.867,+64 +eva_large_patch14_336.in22k_ft_in22k_in1k,80.083,19.917,89.357,10.643,304.53,336,1.000,bicubic,-17.777,-10.443,-21 +resnext101_32x32d.fb_wsl_ig1b_ft_in1k,79.467,20.533,89.197,10.803,468.53,224,0.875,bilinear,-17.303,-10.423,+121 +resnext101_32x16d.fb_wsl_ig1b_ft_in1k,78.830,21.170,88.473,11.527,194.03,224,0.875,bilinear,-17.600,-11.157,+179 +vit_large_patch14_clip_224.openai_ft_in12k_in1k,78.677,21.323,88.917,11.083,304.20,224,1.000,bicubic,-18.933,-10.813,0 +eva_large_patch14_196.in22k_ft_in22k_in1k,78.500,21.500,88.330,11.670,304.14,196,1.000,bicubic,-19.120,-11.480,-4 +vit_large_patch14_clip_336.laion2b_ft_in12k_in1k,78.427,21.573,88.500,11.500,304.53,336,1.000,bicubic,-19.033,-11.280,+8 +vit_large_patch14_clip_224.laion2b_ft_in12k_in1k,78.260,21.740,88.673,11.327,304.20,224,1.000,bicubic,-19.130,-11.057,+12 +regnety_160.swag_lc_in1k,78.200,21.800,91.667,8.333,83.59,224,0.965,bicubic,-18.250,-7.943,+168 +regnety_160.swag_ft_in1k,77.680,22.320,90.733,9.267,83.59,384,1.000,bicubic,-19.490,-8.907,+49 +eva02_base_patch14_448.mim_in22k_ft_in1k,77.607,22.393,89.303,10.697,87.12,448,1.000,bicubic,-20.113,-10.457,-14 +eva02_base_patch14_448.mim_in22k_ft_in22k_in1k,77.497,22.503,88.490,11.510,87.12,448,1.000,bicubic,-20.113,-11.330,-9 +tf_efficientnet_l2.ns_jft_in1k_475,76.487,23.513,88.647,11.353,480.31,475,0.936,bicubic,-21.263,-11.143,-20 +beitv2_large_patch16_224.in1k_ft_in22k_in1k,76.353,23.647,87.090,12.910,304.43,224,0.950,bicubic,-21.397,-12.730,-19 +resnext101_32x16d.fb_swsl_ig1b_ft_in1k,76.300,23.700,87.743,12.257,194.03,224,0.875,bilinear,-19.970,-11.757,+200 +convnextv2_huge.fcmae_ft_in22k_in1k_384,75.950,24.050,86.637,13.363,660.29,384,1.000,bicubic,-21.920,-13.273,-36 +convnextv2_huge.fcmae_ft_in22k_in1k_512,75.827,24.173,86.947,13.053,660.29,512,1.000,bicubic,-21.983,-12.843,-32 +resnext101_32x8d.fb_wsl_ig1b_ft_in1k,75.797,24.203,86.197,13.803,88.79,224,0.875,bilinear,-20.143,-13.183,+266 +resnext101_32x8d.fb_swsl_ig1b_ft_in1k,75.600,24.400,86.943,13.057,88.79,224,0.875,bilinear,-20.650,-12.597,+197 +convnext_base.clip_laiona_augreg_ft_in1k_384,75.210,24.790,88.580,11.420,88.59,384,1.000,bicubic,-21.650,-11.110,+85 +convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384,75.173,24.827,88.460,11.540,88.59,384,1.000,bicubic,-21.867,-11.210,+57 +tf_efficientnet_l2.ns_jft_in1k,74.657,25.343,87.557,12.443,480.31,800,0.960,bicubic,-23.123,-12.263,-34 +convnext_base.clip_laion2b_augreg_ft_in12k_in1k,73.733,26.267,87.343,12.657,88.59,256,1.000,bicubic,-23.057,-12.337,+94 +convnext_base.clip_laion2b_augreg_ft_in1k,73.400,26.600,87.147,12.853,88.59,256,1.000,bicubic,-23.160,-12.483,+132 +beit_large_patch16_384.in22k_ft_in22k_in1k,73.277,26.723,85.030,14.970,305.00,384,1.000,bicubic,-24.533,-14.810,-38 +beit_large_patch16_512.in22k_ft_in22k_in1k,73.160,26.840,85.090,14.910,305.67,512,1.000,bicubic,-24.620,-14.800,-36 +resnext101_32x4d.fb_swsl_ig1b_ft_in1k,72.657,27.343,85.163,14.837,44.18,224,0.875,bilinear,-23.383,-14.247,+235 +maxvit_xlarge_tf_512.in21k_ft_in1k,71.873,28.127,82.927,17.073,475.77,512,1.000,bicubic,-25.887,-16.893,-36 +maxvit_xlarge_tf_384.in21k_ft_in1k,71.700,28.300,82.713,17.287,475.32,384,1.000,bicubic,-26.040,-17.137,-33 +beit_large_patch16_224.in22k_ft_in22k_in1k,71.040,28.960,83.430,16.570,304.43,224,0.900,bicubic,-26.440,-16.260,-17 +deit3_huge_patch14_224.fb_in22k_ft_in1k,70.817,29.183,82.200,17.800,632.13,224,1.000,bicubic,-26.433,-17.520,+16 +vit_base_patch16_clip_384.laion2b_ft_in1k,70.773,29.227,83.820,16.180,86.86,384,1.000,bicubic,-26.127,-15.850,+66 +caformer_b36.sail_in22k_ft_in1k_384,70.750,29.250,82.647,17.353,98.75,384,1.000,bicubic,-26.910,-17.213,-34 +deit3_large_patch16_384.fb_in22k_ft_in1k,70.580,29.420,82.437,17.563,304.76,384,1.000,bicubic,-27.000,-17.273,-26 +beitv2_large_patch16_224.in1k_ft_in1k,70.403,29.597,83.373,16.627,304.43,224,0.950,bicubic,-26.907,-16.387,0 +maxvit_base_tf_512.in21k_ft_in1k,70.390,29.610,81.600,18.400,119.88,512,1.000,bicubic,-27.370,-18.260,-45 +maxvit_large_tf_512.in21k_ft_in1k,70.380,29.620,81.650,18.350,212.33,512,1.000,bicubic,-27.290,-18.080,-39 +maxvit_large_tf_384.in21k_ft_in1k,70.010,29.990,81.037,18.963,212.03,384,1.000,bicubic,-27.650,-18.783,-38 +deit3_large_patch16_224.fb_in22k_ft_in1k,69.713,30.287,81.197,18.803,304.37,224,1.000,bicubic,-27.597,-18.483,-3 +maxvit_base_tf_384.in21k_ft_in1k,69.557,30.443,80.730,19.270,119.65,384,1.000,bicubic,-28.003,-19.030,-30 +maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k,69.123,30.877,80.063,19.937,116.14,384,1.000,bicubic,-28.217,-19.627,-11 +resnext50_32x4d.fb_swsl_ig1b_ft_in1k,68.977,31.023,82.800,17.200,25.03,224,0.875,bilinear,-26.653,-16.610,+301 +vit_base_patch16_clip_224.laion2b_ft_in1k,68.770,31.230,82.507,17.493,86.57,224,1.000,bicubic,-27.550,-17.013,+160 +convnextv2_large.fcmae_ft_in22k_in1k_384,68.653,31.347,81.070,18.930,197.96,384,1.000,bicubic,-28.977,-18.730,-43 +caformer_b36.sail_in22k_ft_in1k,68.600,31.400,80.857,19.143,98.75,224,1.000,bicubic,-28.760,-18.973,-17 +resnet50.fb_swsl_ig1b_ft_in1k,68.287,31.713,83.307,16.693,25.56,224,0.875,bilinear,-26.913,-16.083,+379 +convnext_xlarge.fb_in22k_ft_in1k_384,68.157,31.843,80.453,19.547,350.20,384,1.000,bicubic,-29.433,-19.317,-40 +maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k,68.077,31.923,80.740,19.260,116.09,384,1.000,bicubic,-29.373,-19.020,-31 +swinv2_large_window12to24_192to384.ms_in22k_ft_in1k,67.667,32.333,80.100,19.900,196.74,384,1.000,bicubic,-29.613,-19.680,-8 +tf_efficientnet_b7.ns_jft_in1k,67.510,32.490,81.380,18.620,66.35,600,0.949,bicubic,-29.680,-18.240,+6 +vit_base_patch16_clip_384.openai_ft_in1k,67.360,32.640,81.687,18.313,86.86,384,1.000,bicubic,-29.450,-18.023,+62 +vit_large_patch16_384.augreg_in21k_ft_in1k,67.060,32.940,78.703,21.297,304.72,384,1.000,bicubic,-30.350,-21.077,-33 +convnextv2_base.fcmae_ft_in22k_in1k_384,67.030,32.970,79.800,20.200,88.72,384,1.000,bicubic,-30.350,-19.960,-29 +convformer_b36.sail_in22k_ft_in1k_384,66.823,33.177,79.443,20.557,99.88,384,1.000,bicubic,-30.667,-20.317,-42 +convnext_large.fb_in22k_ft_in1k_384,66.673,33.327,79.797,20.203,197.77,384,1.000,bicubic,-30.627,-19.963,-18 +coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k,66.580,33.420,78.413,21.587,73.88,384,1.000,bicubic,-30.790,-21.287,-30 +maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k,66.530,33.470,78.027,21.973,116.14,224,0.950,bicubic,-30.580,-21.573,+12 +swin_large_patch4_window12_384.ms_in22k_ft_in1k,66.287,33.713,79.747,20.253,196.74,384,1.000,bicubic,-30.883,-19.993,+3 +vit_base_patch16_clip_384.laion2b_ft_in12k_in1k,66.150,33.850,78.880,21.120,86.86,384,1.000,bicubic,-31.070,-20.820,-6 +vit_base_patch16_clip_224.openai_ft_in1k,66.030,33.970,80.983,19.017,86.57,224,0.900,bicubic,-30.280,-18.517,+146 +beitv2_base_patch16_224.in1k_ft_in22k_in1k,65.757,34.243,78.893,21.107,86.53,224,0.900,bicubic,-31.153,-20.837,+36 +swinv2_base_window12to24_192to384.ms_in22k_ft_in1k,65.733,34.267,79.317,20.683,87.92,384,1.000,bicubic,-31.537,-20.473,-20 +swinv2_large_window12to16_192to256.ms_in22k_ft_in1k,65.640,34.360,78.480,21.520,196.74,256,0.900,bicubic,-31.600,-21.230,-14 +tf_efficientnet_b6.ns_jft_in1k,65.590,34.410,79.563,20.437,43.04,528,0.942,bicubic,-31.430,-20.147,+19 +caformer_m36.sail_in22k_ft_in1k_384,65.570,34.430,78.713,21.287,56.20,384,1.000,bicubic,-31.800,-21.077,-40 +convformer_b36.sail_in22k_ft_in1k,65.513,34.487,78.140,21.860,99.88,224,1.000,bicubic,-31.747,-21.610,-23 +convnext_xlarge.fb_in22k_ft_in1k,65.373,34.627,78.350,21.650,350.20,288,1.000,bicubic,-32.077,-21.470,-51 +vit_base_patch16_clip_384.openai_ft_in12k_in1k,65.353,34.647,78.957,21.043,86.86,384,0.950,bicubic,-31.767,-20.613,-2 +convnext_base.fb_in22k_ft_in1k_384,64.903,35.097,78.387,21.613,88.59,384,1.000,bicubic,-32.357,-21.353,-24 +vit_base_patch16_clip_224.laion2b_ft_in12k_in1k,64.763,35.237,77.767,22.233,86.57,224,0.950,bicubic,-31.857,-21.793,+75 +convnextv2_large.fcmae_ft_in22k_in1k,64.710,35.290,78.157,21.843,197.96,288,1.000,bicubic,-32.600,-21.583,-37 +vit_large_patch16_224.augreg_in21k_ft_in1k,64.360,35.640,76.187,23.813,304.33,224,0.900,bicubic,-32.340,-23.383,+60 +convnext_large.fb_in22k_ft_in1k,64.263,35.737,77.773,22.227,197.77,288,1.000,bicubic,-32.957,-21.957,-21 +vit_large_r50_s32_384.augreg_in21k_ft_in1k,64.107,35.893,75.847,24.153,329.09,384,1.000,bicubic,-32.843,-23.783,+17 +maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k,64.010,35.990,77.513,22.487,116.09,224,0.950,bicubic,-33.080,-22.167,-4 +swin_large_patch4_window7_224.ms_in22k_ft_in1k,63.887,36.113,78.187,21.813,196.53,224,0.900,bicubic,-33.053,-21.483,+18 +beit_base_patch16_384.in22k_ft_in22k_in1k,63.623,36.377,78.103,21.897,86.74,384,1.000,bicubic,-33.697,-21.617,-45 +caformer_m36.sail_in22k_ft_in1k,63.490,36.510,76.917,23.083,56.20,224,1.000,bicubic,-33.530,-22.813,+4 +swin_base_patch4_window12_384.ms_in22k_ft_in1k,63.483,36.517,78.050,21.950,87.90,384,1.000,bicubic,-33.647,-21.670,-15 +convnextv2_base.fcmae_ft_in22k_in1k,63.307,36.693,77.163,22.837,88.72,288,1.000,bicubic,-33.893,-22.597,-25 +caformer_s36.sail_in22k_ft_in1k_384,63.263,36.737,77.460,22.540,39.30,384,1.000,bicubic,-34.027,-22.320,-41 +swinv2_base_window12to16_192to256.ms_in22k_ft_in1k,63.183,36.817,77.093,22.907,87.92,256,0.900,bicubic,-33.867,-22.497,-6 +tf_efficientnet_b5.ns_jft_in1k,63.053,36.947,77.790,22.210,30.39,456,0.934,bicubic,-33.817,-21.850,+21 +vit_base_patch16_clip_224.openai_ft_in12k_in1k,62.940,37.060,76.590,23.410,86.57,224,0.950,bicubic,-33.570,-22.960,+84 +deit3_base_patch16_384.fb_in22k_ft_in1k,62.637,37.363,75.550,24.450,86.88,384,1.000,bicubic,-34.603,-24.190,-35 +convnext_base.fb_in22k_ft_in1k,62.537,37.463,76.550,23.450,88.59,288,1.000,bicubic,-34.663,-23.210,-32 +coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k,62.417,37.583,75.130,24.870,73.88,224,0.950,bicubic,-34.763,-24.520,-29 +vit_base_patch8_224.augreg2_in21k_ft_in1k,62.400,37.600,76.600,23.400,86.58,224,0.900,bicubic,-34.550,-23.040,+4 +tf_efficientnetv2_l.in21k_ft_in1k,62.370,37.630,76.757,23.243,118.52,480,1.000,bicubic,-34.950,-22.883,-56 +vit_base_patch8_224.augreg_in21k_ft_in1k,62.177,37.823,75.630,24.370,86.58,224,0.900,bicubic,-34.913,-23.980,-18 +convformer_m36.sail_in22k_ft_in1k_384,62.107,37.893,75.547,24.453,57.05,384,1.000,bicubic,-35.263,-24.133,-64 +tf_efficientnetv2_xl.in21k_ft_in1k,62.083,37.917,75.663,24.337,208.12,512,1.000,bicubic,-35.247,-23.937,-61 +hrnet_w48_ssld.paddle_in1k,61.927,38.073,75.163,24.837,77.47,288,1.000,bilinear,-34.613,-24.477,+67 +deit3_base_patch16_224.fb_in22k_ft_in1k,61.803,38.197,74.710,25.290,86.59,224,1.000,bicubic,-35.057,-24.910,+12 +beitv2_base_patch16_224.in1k_ft_in1k,61.427,38.573,75.930,24.070,86.53,224,0.900,bicubic,-35.323,-23.670,+32 +coatnet_2_rw_224.sw_in12k_ft_in1k,61.277,38.723,73.967,26.033,73.87,224,0.950,bicubic,-35.713,-25.693,-8 +convformer_m36.sail_in22k_ft_in1k,61.263,38.737,74.617,25.383,57.05,224,1.000,bicubic,-35.807,-25.133,-23 +tf_efficientnet_b4.ns_jft_in1k,61.233,38.767,76.167,23.833,19.34,380,0.922,bicubic,-35.477,-23.473,+32 +convnextv2_huge.fcmae_ft_in1k,61.197,38.803,74.500,25.500,660.29,288,1.000,bicubic,-36.053,-25.220,-53 +maxvit_base_tf_512.in1k,61.103,38.897,74.053,25.947,119.88,512,1.000,bicubic,-36.067,-25.627,-38 +caformer_s36.sail_in22k_ft_in1k,60.763,39.237,75.170,24.830,39.30,224,1.000,bicubic,-36.057,-24.520,+10 +vit_base_patch32_clip_384.laion2b_ft_in12k_in1k,60.353,39.647,73.800,26.200,88.30,384,1.000,bicubic,-36.257,-25.680,+44 +beit_base_patch16_224.in22k_ft_in22k_in1k,60.317,39.683,75.593,24.407,86.53,224,0.900,bicubic,-36.343,-24.067,+37 +tf_efficientnetv2_m.in21k_ft_in1k,60.263,39.737,75.063,24.937,54.14,480,1.000,bicubic,-36.737,-24.567,-18 +vit_base_patch32_clip_448.laion2b_ft_in12k_in1k,60.240,39.760,73.547,26.453,88.34,448,1.000,bicubic,-36.330,-25.973,+48 +vit_base_patch16_384.augreg_in21k_ft_in1k,60.183,39.817,73.850,26.150,86.86,384,1.000,bicubic,-36.837,-25.860,-22 +convformer_s36.sail_in22k_ft_in1k_384,60.067,39.933,74.130,25.870,40.01,384,1.000,bicubic,-36.993,-25.580,-32 +convnext_small.fb_in22k_ft_in1k_384,59.923,40.077,74.487,25.513,50.22,384,1.000,bicubic,-37.187,-25.153,-40 +maxvit_large_tf_512.in1k,59.887,40.113,72.847,27.153,212.33,512,1.000,bicubic,-37.163,-26.813,-32 +swin_base_patch4_window7_224.ms_in22k_ft_in1k,59.527,40.473,74.247,25.753,87.77,224,0.900,bicubic,-37.153,-25.423,+28 +vit_base_patch32_clip_224.laion2b_ft_in1k,59.163,40.837,73.883,26.117,88.22,224,0.900,bicubic,-35.587,-25.187,+410 +maxvit_base_tf_384.in1k,59.073,40.927,71.687,28.313,119.65,384,1.000,bicubic,-38.047,-27.953,-45 +vit_base_patch16_224.augreg2_in21k_ft_in1k,59.053,40.947,73.603,26.397,86.57,224,0.900,bicubic,-37.457,-25.957,+54 +seresnextaa101d_32x8d.sw_in12k_ft_in1k_288,59.030,40.970,72.837,27.163,93.59,320,1.000,bicubic,-38.260,-26.883,-75 +volo_d5_512.sail_in1k,58.927,41.073,73.207,26.793,296.09,512,1.150,bicubic,-38.373,-26.553,-77 +convformer_s36.sail_in22k_ft_in1k,58.917,41.083,72.940,27.060,40.01,224,1.000,bicubic,-37.583,-26.520,+53 +convnext_small.in12k_ft_in1k_384,58.807,41.193,72.797,27.203,50.22,384,1.000,bicubic,-38.183,-26.853,-30 +volo_d5_448.sail_in1k,58.800,41.200,73.063,26.937,295.91,448,1.150,bicubic,-38.440,-26.607,-70 +vit_large_r50_s32_224.augreg_in21k_ft_in1k,58.663,41.337,71.737,28.263,328.99,224,0.900,bicubic,-37.517,-27.773,+114 +vit_base_patch32_clip_384.openai_ft_in12k_in1k,58.580,41.420,73.153,26.847,88.30,384,0.950,bicubic,-37.840,-26.347,+65 +maxvit_large_tf_384.in1k,58.427,41.573,71.177,28.823,212.03,384,1.000,bicubic,-38.503,-28.393,-25 +deit3_large_patch16_384.fb_in1k,58.360,41.640,72.957,27.043,304.76,384,1.000,bicubic,-38.490,-26.663,-15 +eva02_small_patch14_336.mim_in22k_ft_in1k,58.357,41.643,72.880,27.120,22.13,336,1.000,bicubic,-38.333,-26.730,+13 +deit3_huge_patch14_224.fb_in1k,58.137,41.863,72.143,27.857,632.13,224,0.900,bicubic,-38.443,-27.377,+26 +convnextv2_large.fcmae_ft_in1k,58.103,41.897,72.627,27.373,197.96,288,1.000,bicubic,-38.727,-27.133,-16 +tf_efficientnet_b8.ap_in1k,57.837,42.163,72.957,27.043,87.41,672,0.954,bicubic,-38.713,-26.603,+33 +convnext_small.fb_in22k_ft_in1k,57.743,42.257,72.773,27.227,50.22,288,1.000,bicubic,-39.067,-26.857,-12 +seresnextaa101d_32x8d.sw_in12k_ft_in1k,57.643,42.357,71.357,28.643,93.59,288,1.000,bicubic,-39.527,-28.423,-68 +mvitv2_large.fb_in1k,57.497,42.503,70.750,29.250,217.99,224,0.900,bicubic,-38.903,-28.790,+61 +cait_m48_448.fb_dist_in1k,57.477,42.523,71.857,28.143,356.46,448,1.000,bicubic,-39.403,-27.813,-28 +cait_m36_384.fb_dist_in1k,57.473,42.527,72.310,27.690,271.22,384,1.000,bicubic,-39.367,-27.350,-23 +tf_efficientnet_b3.ns_jft_in1k,57.413,42.587,72.377,27.623,12.23,300,0.904,bicubic,-38.687,-27.103,+115 +volo_d4_448.sail_in1k,57.283,42.717,71.540,28.460,193.41,448,1.150,bicubic,-39.787,-28.090,-60 +maxvit_small_tf_512.in1k,57.077,42.923,70.960,29.040,69.13,512,1.000,bicubic,-40.113,-28.740,-77 +vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,57.070,42.930,71.267,28.733,88.22,224,0.900,bicubic,-38.160,-27.973,+282 +vit_base_patch16_224.augreg_in21k_ft_in1k,56.840,43.160,70.633,29.367,86.57,224,0.900,bicubic,-39.460,-28.897,+74 +deit3_medium_patch16_224.fb_in22k_ft_in1k,56.653,43.347,69.743,30.257,38.85,224,1.000,bicubic,-39.487,-29.747,+102 +volo_d5_224.sail_in1k,56.503,43.497,70.660,29.340,295.46,224,0.960,bicubic,-40.377,-28.960,-38 +deit3_large_patch16_224.fb_in1k,56.450,43.550,70.470,29.530,304.37,224,0.900,bicubic,-39.740,-29.030,+93 +xcit_large_24_p8_384.fb_dist_in1k,56.360,43.640,71.307,28.693,188.93,384,1.000,bicubic,-40.400,-28.253,-15 +flexivit_large.1200ep_in1k,56.290,43.710,71.557,28.443,304.36,240,0.950,bicubic,-40.490,-28.113,-20 +convnextv2_tiny.fcmae_ft_in22k_in1k_384,56.100,43.900,71.900,28.100,28.64,384,1.000,bicubic,-40.520,-27.730,+2 +flexivit_large.600ep_in1k,56.077,43.923,71.167,28.833,304.36,240,0.950,bicubic,-40.653,-28.393,-14 +xcit_large_24_p8_224.fb_dist_in1k,56.020,43.980,70.670,29.330,188.93,224,1.000,bicubic,-40.610,-28.790,-2 +caformer_s18.sail_in22k_ft_in1k_384,56.007,43.993,71.383,28.617,26.34,384,1.000,bicubic,-40.523,-28.197,+16 +vit_base_patch32_clip_224.openai_ft_in1k,55.913,44.087,72.157,27.843,88.22,224,0.900,bicubic,-38.527,-26.953,+440 +vit_medium_patch16_gap_384.sw_in12k_ft_in1k,55.783,44.217,70.993,29.007,39.03,384,0.950,bicubic,-40.707,-28.627,+24 +convnext_small.in12k_ft_in1k,55.700,44.300,70.727,29.273,50.22,288,1.000,bicubic,-40.900,-28.893,0 +flexivit_large.300ep_in1k,55.700,44.300,70.703,29.297,304.36,240,0.950,bicubic,-41.000,-28.877,-16 +caformer_b36.sail_in1k_384,55.193,44.807,68.070,31.930,98.75,384,1.000,bicubic,-41.967,-31.540,-87 +convformer_s18.sail_in22k_ft_in1k_384,55.123,44.877,70.127,29.873,26.77,384,1.000,bicubic,-41.667,-29.583,-35 +caformer_m36.sail_in1k_384,55.083,44.917,68.463,31.537,56.20,384,1.000,bicubic,-41.947,-31.247,-73 +swin_small_patch4_window7_224.ms_in22k_ft_in1k,54.977,45.023,71.023,28.977,49.61,224,0.900,bicubic,-41.083,-28.457,+106 +xcit_large_24_p16_384.fb_dist_in1k,54.910,45.090,69.853,30.147,189.10,384,1.000,bicubic,-42.030,-29.657,-59 +volo_d4_224.sail_in1k,54.757,45.243,68.847,31.153,192.96,224,0.960,bicubic,-42.023,-30.763,-36 +maxvit_tiny_tf_512.in1k,54.747,45.253,68.940,31.060,31.05,512,1.000,bicubic,-42.223,-30.730,-66 +dm_nfnet_f5.dm_in1k,54.610,45.390,68.670,31.330,377.21,544,0.954,bicubic,-42.420,-31.010,-76 +caformer_s36.sail_in1k_384,54.573,45.427,68.740,31.260,39.30,384,1.000,bicubic,-42.307,-30.930,-59 +deit3_small_patch16_384.fb_in22k_ft_in1k,54.480,45.520,68.313,31.687,22.21,384,1.000,bicubic,-42.190,-31.327,-20 +efficientnet_b5.sw_in12k_ft_in1k,54.417,45.583,69.877,30.123,30.39,448,1.000,bicubic,-42.353,-29.653,-37 +vit_base_r50_s16_384.orig_in21k_ft_in1k,54.407,45.593,69.557,30.443,98.95,384,1.000,bicubic,-42.043,-30.053,+17 +maxvit_small_tf_384.in1k,54.337,45.663,68.190,31.810,69.02,384,1.000,bicubic,-42.413,-31.350,-36 +regnety_160.sw_in12k_ft_in1k,54.330,45.670,69.057,30.943,83.59,288,1.000,bicubic,-42.490,-30.563,-53 +resnetv2_152x4_bit.goog_in21k_ft_in1k,54.320,45.680,70.173,29.827,936.53,480,1.000,bilinear,-42.560,-29.487,-63 +xcit_large_24_p16_224.fb_dist_in1k,54.250,45.750,68.967,31.033,189.10,224,1.000,bicubic,-42.070,-30.533,+40 +regnety_160.lion_in12k_ft_in1k,54.203,45.797,68.990,31.010,83.59,288,1.000,bicubic,-42.607,-30.520,-54 +vit_small_r26_s32_384.augreg_in21k_ft_in1k,54.187,45.813,68.767,31.233,36.47,384,1.000,bicubic,-41.863,-30.783,+94 +caformer_s18.sail_in22k_ft_in1k,54.110,45.890,69.713,30.287,26.34,224,1.000,bicubic,-41.900,-29.837,+100 +volo_d3_448.sail_in1k,53.977,46.023,68.037,31.963,86.63,448,1.000,bicubic,-43.053,-31.633,-90 +caformer_b36.sail_in1k,53.977,46.023,66.683,33.317,98.75,224,1.000,bicubic,-42.523,-32.947,+1 +tf_efficientnet_b5.ap_in1k,53.880,46.120,69.170,30.830,30.39,456,0.934,bicubic,-42.210,-30.370,+78 +dm_nfnet_f6.dm_in1k,53.843,46.157,68.413,31.587,438.36,576,0.956,bicubic,-43.127,-31.347,-83 +xcit_medium_24_p8_224.fb_dist_in1k,53.650,46.350,68.403,31.597,84.32,224,1.000,bicubic,-42.880,-31.107,-10 +tf_efficientnet_b2.ns_jft_in1k,53.600,46.400,70.270,29.730,9.11,260,0.890,bicubic,-41.920,-29.070,+188 +cait_s36_384.fb_dist_in1k,53.560,46.440,68.003,31.997,68.37,384,1.000,bicubic,-43.070,-31.607,-34 +tf_efficientnet_b6.ap_in1k,53.557,46.443,68.557,31.443,43.04,528,0.942,bicubic,-42.813,-30.993,+16 +vit_medium_patch16_gap_256.sw_in12k_ft_in1k,53.543,46.457,69.087,30.913,38.86,256,0.950,bicubic,-42.457,-30.333,+93 +dm_nfnet_f3.dm_in1k,53.523,46.477,67.743,32.257,254.92,416,0.940,bicubic,-43.097,-31.837,-35 +deit3_base_patch16_384.fb_in1k,53.483,46.517,67.623,32.377,86.88,384,1.000,bicubic,-42.747,-31.817,+46 +deit3_base_patch16_224.fb_in1k,53.473,46.527,67.597,32.403,86.59,224,0.900,bicubic,-42.297,-31.673,+137 +convformer_s18.sail_in22k_ft_in1k,53.437,46.563,68.680,31.320,26.77,224,1.000,bicubic,-42.663,-30.810,+65 +tf_efficientnet_b8.ra_in1k,53.420,46.580,69.093,30.907,87.41,672,0.954,bicubic,-43.280,-30.557,-47 +convnextv2_base.fcmae_ft_in1k,53.417,46.583,67.750,32.250,88.72,288,1.000,bicubic,-43.063,-31.800,-9 +xcit_medium_24_p8_384.fb_dist_in1k,53.397,46.603,68.130,31.870,84.32,384,1.000,bicubic,-43.373,-31.470,-62 +vit_base_patch32_384.augreg_in21k_ft_in1k,53.303,46.697,68.057,31.943,88.30,384,1.000,bicubic,-42.597,-31.283,+103 +tf_efficientnet_b7.ap_in1k,53.260,46.740,68.877,31.123,66.35,600,0.949,bicubic,-43.090,-30.643,+9 +convnext_large.fb_in1k,53.247,46.753,67.887,32.113,197.77,288,1.000,bicubic,-43.153,-31.563,+2 +xcit_medium_24_p16_384.fb_dist_in1k,53.237,46.763,68.043,31.957,84.40,384,1.000,bicubic,-43.453,-31.557,-52 +maxvit_base_tf_224.in1k,53.237,46.763,66.137,33.863,119.47,224,0.950,bicubic,-43.103,-33.443,+13 +hrnet_w18_ssld.paddle_in1k,53.233,46.767,68.183,31.817,21.30,288,1.000,bilinear,-42.477,-31.107,+141 +tf_efficientnetv2_l.in1k,53.163,46.837,67.833,32.167,118.52,480,1.000,bicubic,-43.577,-31.717,-63 +tf_efficientnetv2_s.in21k_ft_in1k,53.127,46.873,68.997,31.003,21.46,384,1.000,bicubic,-43.343,-30.573,-17 +tf_efficientnet_b4.ap_in1k,53.087,46.913,68.230,31.770,19.34,380,0.922,bicubic,-42.403,-31.160,+173 +convnext_tiny.in12k_ft_in1k_384,53.063,46.937,68.503,31.497,28.59,384,1.000,bicubic,-43.497,-31.177,-37 +regnetz_e8.ra3_in1k,53.003,46.997,67.147,32.853,57.70,320,1.000,bicubic,-43.597,-32.433,-49 +maxvit_large_tf_224.in1k,53.003,46.997,65.340,34.660,211.79,224,0.950,bicubic,-43.327,-34.070,+7 +coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k,52.873,47.127,66.460,33.540,41.72,224,0.950,bicubic,-43.257,-32.880,+44 +volo_d3_224.sail_in1k,52.703,47.297,66.307,33.693,86.33,224,0.960,bicubic,-43.727,-33.233,-16 +deit3_small_patch16_224.fb_in22k_ft_in1k,52.693,47.307,66.867,33.133,22.06,224,1.000,bicubic,-43.137,-32.473,+103 +regnety_120.sw_in12k_ft_in1k,52.637,47.363,67.630,32.370,51.82,288,1.000,bicubic,-43.923,-32.020,-45 +dm_nfnet_f4.dm_in1k,52.457,47.543,67.117,32.883,316.07,512,0.951,bicubic,-44.493,-32.593,-108 +maxvit_tiny_tf_384.in1k,52.457,47.543,66.777,33.223,30.98,384,1.000,bicubic,-44.133,-32.783,-53 +tf_efficientnet_b7.ra_in1k,52.407,47.593,68.227,31.773,66.35,600,0.949,bicubic,-44.163,-31.243,-51 +xcit_small_24_p8_384.fb_dist_in1k,52.377,47.623,66.847,33.153,47.63,384,1.000,bicubic,-44.433,-32.813,-90 +efficientnetv2_rw_m.agc_in1k,52.333,47.667,67.223,32.777,53.24,416,1.000,bicubic,-43.937,-32.407,+9 +resnet18.fb_swsl_ig1b_ft_in1k,52.320,47.680,70.477,29.523,11.69,224,0.875,bilinear,-38.760,-27.723,+706 +convformer_b36.sail_in1k_384,52.300,47.700,66.543,33.457,99.88,384,1.000,bicubic,-44.570,-33.107,-104 +convformer_m36.sail_in1k_384,52.287,47.713,66.147,33.853,57.05,384,1.000,bicubic,-44.493,-33.583,-88 +deit_base_distilled_patch16_384.fb_in1k,52.263,47.737,67.740,32.260,87.63,384,1.000,bicubic,-44.247,-31.850,-43 +xcit_medium_24_p16_224.fb_dist_in1k,52.197,47.803,66.917,33.083,84.40,224,1.000,bicubic,-44.053,-32.493,+10 +xcit_small_24_p8_224.fb_dist_in1k,52.183,47.817,66.767,33.233,47.63,224,1.000,bicubic,-44.367,-32.773,-53 +convnext_tiny.fb_in22k_ft_in1k_384,52.180,47.820,66.923,33.077,28.59,384,1.000,bicubic,-43.990,-32.577,+23 +convformer_s36.sail_in1k_384,51.990,48.010,66.200,33.800,40.01,384,1.000,bicubic,-44.710,-33.330,-79 +resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384,51.937,48.063,68.663,31.337,236.34,384,1.000,bicubic,-44.253,-30.637,+17 +convnextv2_tiny.fcmae_ft_in22k_in1k,51.903,48.097,67.800,32.200,28.64,288,1.000,bicubic,-44.437,-31.570,-16 +resmlp_big_24_224.fb_in22k_ft_in1k,51.893,48.107,68.463,31.537,129.14,224,0.875,bicubic,-44.457,-31.127,-19 +xcit_small_24_p16_384.fb_dist_in1k,51.880,48.120,66.367,33.633,47.67,384,1.000,bicubic,-44.460,-33.183,-19 +cait_s24_384.fb_dist_in1k,51.787,48.213,66.307,33.693,47.06,384,1.000,bicubic,-44.783,-33.243,-67 +resnetv2_152x2_bit.goog_in21k_ft_in1k,51.763,48.237,69.263,30.737,236.34,448,1.000,bilinear,-44.757,-30.307,-55 +caformer_m36.sail_in1k,51.693,48.307,64.490,35.510,56.20,224,1.000,bicubic,-44.717,-35.070,-33 +ecaresnet269d.ra2_in1k,51.673,48.327,66.040,33.960,102.09,352,1.000,bicubic,-44.777,-33.620,-41 +regnety_2560.seer_ft_in1k,51.650,48.350,68.193,31.807,"1,282.60",384,1.000,bicubic,-44.880,-31.327,-60 +rexnetr_300.sw_in12k_ft_in1k,51.630,48.370,68.033,31.967,34.81,288,1.000,bicubic,-44.460,-31.507,+25 +caformer_s36.sail_in1k,51.593,48.407,64.910,35.090,39.30,224,1.000,bicubic,-44.487,-34.600,+27 +coat_lite_medium_384.in1k,51.570,48.430,65.740,34.260,44.57,384,1.000,bicubic,-45.000,-33.780,-71 +mvitv2_base.fb_in1k,51.550,48.450,65.633,34.367,51.47,224,0.900,bicubic,-44.430,-33.957,+49 +vit_base_patch16_224_miil.in21k_ft_in1k,51.543,48.457,65.210,34.790,86.54,224,0.875,bilinear,-44.497,-34.140,+38 +davit_small.msft_in1k,51.523,48.477,66.440,33.560,49.75,224,0.950,bicubic,-44.507,-32.960,+38 +convnext_tiny.in12k_ft_in1k,51.440,48.560,67.063,32.937,28.59,288,1.000,bicubic,-44.800,-32.227,-8 +maxvit_rmlp_small_rw_224.sw_in1k,51.430,48.570,65.190,34.810,64.90,224,0.900,bicubic,-44.530,-34.240,+52 +tf_efficientnetv2_m.in1k,51.427,48.573,66.620,33.380,54.14,480,1.000,bicubic,-45.053,-32.900,-59 +caformer_s18.sail_in1k_384,51.353,48.647,65.657,34.343,26.34,384,1.000,bicubic,-45.057,-33.873,-46 +edgenext_base.in21k_ft_in1k,51.283,48.717,65.657,34.343,18.51,320,1.000,bicubic,-44.917,-33.803,-4 +davit_base.msft_in1k,51.267,48.733,65.223,34.777,87.95,224,0.950,bicubic,-44.973,-34.417,-12 +convformer_b36.sail_in1k,51.203,48.797,64.280,35.720,99.88,224,1.000,bicubic,-45.037,-35.130,-12 +maxvit_small_tf_224.in1k,51.193,48.807,65.263,34.737,68.93,224,0.950,bicubic,-45.007,-34.267,-6 +xcit_small_12_p8_384.fb_dist_in1k,51.107,48.893,65.840,34.160,26.21,384,1.000,bicubic,-45.363,-33.650,-61 +convnext_base.fb_in1k,51.057,48.943,65.880,34.120,88.59,288,1.000,bicubic,-45.253,-33.630,-30 +convformer_m36.sail_in1k,51.020,48.980,63.650,36.350,57.05,224,1.000,bicubic,-45.060,-35.740,+14 +volo_d2_384.sail_in1k,50.897,49.103,65.620,34.380,58.87,384,1.000,bicubic,-45.813,-33.980,-109 +tf_efficientnet_b1.ns_jft_in1k,50.887,49.113,67.907,32.093,7.79,240,0.882,bicubic,-43.973,-31.343,+262 +vit_base_patch16_384.orig_in21k_ft_in1k,50.880,49.120,65.273,34.727,86.86,384,1.000,bicubic,-45.320,-34.197,-14 +convformer_s36.sail_in1k,50.863,49.137,64.083,35.917,40.01,224,1.000,bicubic,-45.247,-35.377,+2 +xcit_small_24_p16_224.fb_dist_in1k,50.743,49.257,65.047,34.953,47.67,224,1.000,bicubic,-45.047,-34.523,+69 +flexivit_base.1200ep_in1k,50.693,49.307,65.140,34.860,86.59,240,0.950,bicubic,-45.417,-34.380,-1 +convformer_s18.sail_in1k_384,50.687,49.313,65.637,34.363,26.77,384,1.000,bicubic,-45.563,-33.943,-28 +coatnet_rmlp_2_rw_224.sw_in1k,50.603,49.397,63.363,36.637,73.88,224,0.950,bicubic,-45.607,-36.117,-20 +xcit_small_12_p16_384.fb_dist_in1k,50.527,49.473,65.300,34.700,26.25,384,1.000,bicubic,-45.813,-34.190,-48 +efficientnet_b4.ra2_in1k,50.500,49.500,65.727,34.273,19.34,384,1.000,bicubic,-45.030,-33.673,+111 +volo_d1_384.sail_in1k,50.477,49.523,64.913,35.087,26.78,384,1.000,bicubic,-46.003,-34.697,-77 +xcit_small_12_p8_224.fb_dist_in1k,50.437,49.563,65.417,34.583,26.21,224,1.000,bicubic,-45.523,-33.953,+27 +resnetv2_101x3_bit.goog_in21k_ft_in1k,50.393,49.607,67.783,32.217,387.93,448,1.000,bilinear,-45.857,-31.687,-35 +flexivit_base.600ep_in1k,50.353,49.647,64.620,35.380,86.59,240,0.950,bicubic,-45.607,-34.800,+26 +regnetz_040_h.ra3_in1k,50.317,49.683,65.623,34.377,28.94,320,1.000,bicubic,-46.003,-33.917,-50 +mvitv2_small.fb_in1k,50.260,49.740,64.893,35.107,34.87,224,0.900,bicubic,-45.630,-34.467,+37 +cait_s24_224.fb_dist_in1k,50.250,49.750,65.020,34.980,46.92,224,1.000,bicubic,-45.410,-34.370,+82 +resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k,50.230,49.770,66.033,33.967,194.03,224,0.875,bilinear,-45.170,-33.127,+127 +pit_b_distilled_224.in1k,50.227,49.773,65.000,35.000,74.79,224,0.900,bicubic,-45.593,-34.290,+51 +eca_nfnet_l2.ra3_in1k,50.207,49.793,65.437,34.563,56.72,384,1.000,bicubic,-46.243,-34.313,-80 +vit_small_patch16_384.augreg_in21k_ft_in1k,50.183,49.817,65.797,34.203,22.20,384,1.000,bicubic,-45.797,-33.533,+13 +resnest269e.in1k,50.183,49.817,64.683,35.317,110.93,416,0.928,bicubic,-45.927,-34.627,-18 +tresnet_v2_l.miil_in21k_ft_in1k,50.163,49.837,65.120,34.880,46.17,224,0.875,bilinear,-45.657,-34.200,+46 +pvt_v2_b5.in1k,50.143,49.857,65.023,34.977,81.96,224,0.900,bicubic,-45.797,-34.367,+19 +deit3_medium_patch16_224.fb_in1k,50.143,49.857,64.697,35.303,38.85,224,0.900,bicubic,-45.237,-34.653,+127 +deit_base_distilled_patch16_224.fb_in1k,50.077,49.923,66.233,33.767,87.34,224,0.900,bicubic,-45.673,-33.197,+56 +tf_efficientnet_b3.ap_in1k,50.047,49.953,65.210,34.790,12.23,300,0.904,bicubic,-44.923,-33.900,+215 +pvt_v2_b4.in1k,50.027,49.973,65.127,34.873,62.56,224,0.900,bicubic,-45.893,-34.233,+19 +flexivit_base.300ep_in1k,50.007,49.993,64.103,35.897,86.59,240,0.950,bicubic,-45.953,-35.277,+13 +coat_lite_medium.in1k,49.977,50.023,64.857,35.143,44.57,224,0.900,bicubic,-46.023,-34.643,+4 +resnest200e.in1k,49.870,50.130,64.727,35.273,70.20,320,0.909,bicubic,-46.200,-34.753,-16 +efficientformer_l7.snap_dist_in1k,49.837,50.163,66.033,33.967,82.23,224,0.950,bicubic,-45.763,-33.357,+76 +volo_d2_224.sail_in1k,49.817,50.183,64.583,35.417,58.68,224,0.960,bicubic,-46.603,-34.877,-88 +xception65.ra3_in1k,49.777,50.223,63.527,36.473,39.92,299,0.940,bicubic,-45.913,-35.793,+63 +seresnextaa101d_32x8d.ah_in1k,49.747,50.253,64.443,35.557,93.59,288,1.000,bicubic,-46.693,-35.067,-93 +swinv2_base_window16_256.ms_in1k,49.667,50.333,63.800,36.200,87.92,256,0.900,bicubic,-46.503,-35.590,-39 +pvt_v2_b3.in1k,49.613,50.387,64.790,35.210,45.24,224,0.900,bicubic,-45.857,-34.520,+94 +convnextv2_nano.fcmae_ft_in22k_in1k_384,49.603,50.397,65.657,34.343,15.62,384,1.000,bicubic,-46.187,-33.633,+37 +cait_xs24_384.fb_dist_in1k,49.537,50.463,64.900,35.100,26.67,384,1.000,bicubic,-46.463,-34.530,-6 +maxvit_rmlp_tiny_rw_256.sw_in1k,49.530,50.470,63.823,36.177,29.15,256,0.950,bicubic,-46.510,-35.717,-16 +tf_efficientnet_b5.ra_in1k,49.527,50.473,65.657,34.343,30.39,456,0.934,bicubic,-46.443,-33.773,-4 +resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k,49.477,50.523,65.627,34.373,236.34,224,0.875,bicubic,-46.273,-33.803,+39 +resnet200d.ra2_in1k,49.463,50.537,64.330,35.670,64.69,320,1.000,bicubic,-46.647,-35.080,-39 +efficientformerv2_l.snap_dist_in1k,49.460,50.540,64.920,35.080,26.32,224,0.950,bicubic,-46.300,-34.450,+35 +xcit_small_12_p16_224.fb_dist_in1k,49.413,50.587,63.847,36.153,26.25,224,1.000,bicubic,-46.317,-35.453,+43 +resnest101e.in1k,49.367,50.633,65.583,34.417,48.28,256,0.875,bilinear,-46.203,-33.787,+69 +dm_nfnet_f2.dm_in1k,49.350,50.650,63.950,36.050,193.78,352,0.920,bicubic,-47.170,-35.640,-121 +regnetz_040.ra3_in1k,49.297,50.703,64.060,35.940,27.12,320,1.000,bicubic,-46.883,-35.470,-53 +vit_base_patch32_224.augreg_in21k_ft_in1k,49.267,50.733,64.340,35.660,88.22,224,0.900,bicubic,-45.133,-34.450,+307 +resnet152d.ra2_in1k,49.260,50.740,64.413,35.587,60.21,320,1.000,bicubic,-46.610,-35.057,+10 +seresnet152d.ra2_in1k,49.237,50.763,64.167,35.833,66.84,320,1.000,bicubic,-47.073,-35.243,-83 +xcit_large_24_p8_224.fb_in1k,49.237,50.763,62.840,37.160,188.93,224,1.000,bicubic,-46.853,-36.300,-41 +gcvit_base.in1k,49.153,50.847,63.950,36.050,90.32,224,0.875,bicubic,-46.927,-35.300,-40 +maxxvit_rmlp_small_rw_256.sw_in1k,49.150,50.850,63.343,36.657,66.01,256,0.950,bicubic,-47.060,-35.937,-67 +resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k,49.093,50.907,65.490,34.510,88.79,224,0.875,bilinear,-46.227,-33.830,+105 +resmlp_big_24_224.fb_distilled_in1k,49.093,50.907,65.473,34.527,129.14,224,0.875,bicubic,-46.777,-33.967,+3 +convnext_small.fb_in1k,49.067,50.933,64.830,35.170,50.22,288,1.000,bicubic,-46.903,-34.620,-19 +resnetaa101d.sw_in12k_ft_in1k,49.013,50.987,64.237,35.763,44.57,288,1.000,bicubic,-47.347,-35.233,-103 +resnext101_64x4d.tv_in1k,48.990,51.010,63.510,36.490,83.46,224,0.875,bilinear,-46.830,-35.700,+9 +volo_d1_224.sail_in1k,48.977,51.023,63.187,36.813,26.63,224,0.960,bicubic,-47.053,-36.203,-32 +repvgg_b3.rvgg_in1k,48.913,51.087,64.890,35.110,123.09,224,0.875,bilinear,-45.657,-33.760,+260 +resnetrs420.tf_in1k,48.860,51.140,63.437,36.563,191.89,416,1.000,bicubic,-47.540,-36.093,-113 +maxvit_tiny_tf_224.in1k,48.807,51.193,62.933,37.067,30.92,224,0.950,bicubic,-47.003,-36.327,+8 +convformer_s18.sail_in1k,48.787,51.213,62.930,37.070,26.77,224,1.000,bicubic,-46.543,-36.370,+95 +caformer_s18.sail_in1k,48.750,51.250,62.867,37.133,26.34,224,1.000,bicubic,-46.930,-36.423,+33 +deit3_small_patch16_384.fb_in1k,48.670,51.330,62.797,37.203,22.21,384,1.000,bicubic,-46.930,-36.643,+43 +seresnext101d_32x8d.ah_in1k,48.603,51.397,62.960,37.040,93.59,288,1.000,bicubic,-47.757,-36.480,-113 +swinv2_small_window16_256.ms_in1k,48.593,51.407,62.747,37.253,49.73,256,0.900,bicubic,-47.477,-36.703,-51 +regnetz_d32.ra3_in1k,48.583,51.417,65.167,34.833,27.58,320,0.950,bicubic,-47.287,-34.263,-10 +efficientnetv2_rw_s.ra2_in1k,48.573,51.427,63.833,36.167,23.94,384,1.000,bicubic,-47.137,-35.507,+21 +efficientnet_b3.ra2_in1k,48.560,51.440,64.243,35.757,12.23,320,1.000,bicubic,-46.590,-34.967,+125 +edgenext_base.usi_in1k,48.457,51.543,64.317,35.683,18.51,320,1.000,bicubic,-47.333,-34.983,+1 +focalnet_base_lrf.ms_in1k,48.443,51.557,63.120,36.880,88.75,224,0.900,bicubic,-47.387,-36.080,-6 +focalnet_base_srf.ms_in1k,48.423,51.577,63.103,36.897,88.15,224,0.900,bicubic,-47.477,-36.207,-24 +vit_small_r26_s32_224.augreg_in21k_ft_in1k,48.377,51.623,63.800,36.200,36.43,224,0.900,bicubic,-46.753,-35.420,+128 +swinv2_base_window8_256.ms_in1k,48.333,51.667,63.610,36.390,87.92,256,0.900,bicubic,-47.727,-35.800,-55 +repvgg_b3g4.rvgg_in1k,48.310,51.690,64.780,35.220,83.83,224,0.875,bilinear,-46.190,-34.240,+261 +vit_large_patch32_384.orig_in21k_ft_in1k,48.240,51.760,61.827,38.173,306.63,384,1.000,bicubic,-47.000,-37.493,+98 +convit_base.fb_in1k,48.210,51.790,63.000,37.000,86.54,224,0.875,bicubic,-46.890,-36.150,+131 +swin_s3_base_224.ms_in1k,48.153,51.847,62.243,37.757,71.13,224,0.900,bicubic,-47.887,-37.107,-55 +sequencer2d_l.in1k,48.107,51.893,62.357,37.643,54.30,224,0.875,bicubic,-47.763,-37.203,-25 +resnext101_32x8d.tv2_in1k,48.093,51.907,62.723,37.277,88.79,224,0.965,bilinear,-47.207,-36.507,+81 +resnetrs350.tf_in1k,48.057,51.943,62.667,37.333,163.96,384,1.000,bicubic,-48.193,-36.923,-103 +tf_efficientnetv2_b3.in21k_ft_in1k,48.030,51.970,64.750,35.250,14.36,300,0.900,bicubic,-47.570,-34.530,+26 +focalnet_small_lrf.ms_in1k,48.027,51.973,63.130,36.870,50.34,224,0.900,bicubic,-47.713,-36.030,-1 +gcvit_small.in1k,48.023,51.977,62.713,37.287,51.09,224,0.875,bicubic,-47.887,-36.567,-38 +regnetz_d8.ra3_in1k,48.010,51.990,64.423,35.577,23.37,320,1.000,bicubic,-48.000,-35.097,-57 +regnety_1280.seer_ft_in1k,47.990,52.010,64.230,35.770,644.81,384,1.000,bicubic,-48.320,-35.330,-118 +twins_svt_large.in1k,47.963,52.037,62.907,37.093,99.27,224,0.900,bicubic,-47.737,-36.463,+6 +vit_relpos_base_patch16_224.sw_in1k,47.923,52.077,62.840,37.160,86.43,224,0.900,bicubic,-47.207,-36.240,+111 +repvgg_b2g4.rvgg_in1k,47.810,52.190,64.397,35.603,61.76,224,0.875,bilinear,-46.020,-34.533,+358 +mixer_b16_224.miil_in21k_ft_in1k,47.793,52.207,63.403,36.597,59.88,224,0.875,bilinear,-47.087,-35.677,+168 +vit_relpos_base_patch16_clsgap_224.sw_in1k,47.760,52.240,62.410,37.590,86.43,224,0.900,bicubic,-47.490,-36.800,+80 +tf_efficientnet_b5.aa_in1k,47.730,52.270,63.907,36.093,30.39,456,0.934,bicubic,-48.150,-35.443,-40 +mvitv2_tiny.fb_in1k,47.667,52.333,62.830,37.170,24.17,224,0.900,bicubic,-47.733,-36.470,+52 +eca_nfnet_l1.ra2_in1k,47.653,52.347,62.767,37.233,41.41,320,1.000,bicubic,-48.277,-36.723,-50 +vit_relpos_medium_patch16_cls_224.sw_in1k,47.653,52.347,61.783,38.217,38.76,224,0.900,bicubic,-47.647,-37.317,+67 +seresnext101_32x8d.ah_in1k,47.653,52.347,61.477,38.523,93.57,288,1.000,bicubic,-48.487,-37.883,-96 +ecaresnet101d.miil_in1k,47.630,52.370,63.540,36.460,44.57,288,0.950,bicubic,-48.000,-35.750,+6 +regnetz_d8_evos.ch_in1k,47.623,52.377,63.807,36.193,23.46,320,1.000,bicubic,-48.517,-35.673,-101 +resnetv2_50x3_bit.goog_in21k_ft_in1k,47.593,52.407,65.603,34.397,217.32,448,1.000,bilinear,-48.677,-33.957,-127 +focalnet_small_srf.ms_in1k,47.547,52.453,62.510,37.490,49.89,224,0.900,bicubic,-48.083,-36.930,+4 +pit_s_distilled_224.in1k,47.540,52.460,63.170,36.830,24.04,224,0.900,bicubic,-47.150,-35.980,+192 +resnest50d_4s2x40d.in1k,47.483,52.517,63.803,36.197,30.42,224,0.875,bicubic,-47.217,-35.427,+187 +dm_nfnet_f1.dm_in1k,47.457,52.543,62.083,37.917,132.63,320,0.910,bicubic,-48.843,-37.447,-133 +efficientnet_b3_pruned.in1k,47.450,52.550,62.803,37.197,9.86,300,0.904,bicubic,-47.140,-36.127,+210 +davit_tiny.msft_in1k,47.410,52.590,63.360,36.640,28.36,224,0.950,bicubic,-47.670,-35.900,+109 +crossvit_18_dagger_408.in1k,47.393,52.607,60.927,39.073,44.61,408,1.000,bicubic,-48.757,-38.543,-110 +poolformerv2_m48.sail_in1k,47.383,52.617,63.960,36.040,73.35,224,1.000,bicubic,-47.797,-35.220,+84 +coatnet_rmlp_1_rw_224.sw_in1k,47.370,52.630,61.437,38.563,41.69,224,0.950,bicubic,-48.130,-37.813,+15 +vit_base_patch16_224.orig_in21k_ft_in1k,47.347,52.653,61.620,38.380,86.57,224,0.900,bicubic,-47.853,-37.610,+77 +xcit_small_24_p8_224.fb_in1k,47.290,52.710,60.993,39.007,47.63,224,1.000,bicubic,-48.610,-38.187,-60 +efficientformer_l3.snap_dist_in1k,47.240,52.760,63.417,36.583,31.41,224,0.950,bicubic,-47.970,-35.893,+69 +tresnet_m.miil_in21k_ft_in1k,47.227,52.773,62.000,38.000,31.39,224,0.875,bilinear,-48.153,-37.150,+38 +wide_resnet101_2.tv2_in1k,47.207,52.793,61.877,38.123,126.89,224,0.965,bilinear,-48.033,-37.323,+62 +tf_efficientnet_b6.aa_in1k,47.203,52.797,63.110,36.890,43.04,528,0.942,bicubic,-49.097,-36.450,-143 +resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k,47.187,52.813,63.387,36.613,44.18,224,0.875,bilinear,-47.953,-35.833,+82 +swin_base_patch4_window12_384.ms_in1k,47.183,52.817,62.027,37.973,87.90,384,1.000,bicubic,-49.197,-37.393,-166 +resnetrs270.tf_in1k,47.127,52.873,62.000,38.000,129.86,352,1.000,bicubic,-48.933,-37.480,-100 +tf_efficientnet_b4.aa_in1k,47.073,52.927,62.860,37.140,19.34,380,0.922,bicubic,-48.517,-36.470,-9 +regnety_320.tv2_in1k,47.070,52.930,62.047,37.953,145.05,224,0.965,bicubic,-48.490,-37.343,-5 +vit_base_patch16_rpn_224.sw_in1k,47.067,52.933,62.393,37.607,86.54,224,0.900,bicubic,-47.763,-36.697,+147 +rexnetr_200.sw_in12k_ft_in1k,47.053,52.947,63.973,36.027,16.52,288,1.000,bicubic,-48.257,-35.507,+39 +convnextv2_tiny.fcmae_ft_in1k,47.043,52.957,62.503,37.497,28.64,288,1.000,bicubic,-48.787,-36.817,-60 +swinv2_small_window8_256.ms_in1k,47.020,52.980,62.300,37.700,49.73,256,0.900,bicubic,-48.710,-37.060,-38 +xcit_small_12_p8_224.fb_in1k,46.973,53.027,60.527,39.473,26.21,224,1.000,bicubic,-48.447,-38.663,+15 +xcit_large_24_p16_224.fb_in1k,46.940,53.060,60.663,39.337,189.10,224,1.000,bicubic,-48.020,-38.167,+117 +coat_small.in1k,46.937,53.063,61.307,38.693,21.69,224,0.900,bicubic,-48.253,-37.973,+61 +xception65p.ra3_in1k,46.923,53.077,61.087,38.913,39.82,299,0.940,bicubic,-48.737,-38.183,-28 +maxvit_tiny_rw_224.sw_in1k,46.903,53.097,60.890,39.110,29.06,224,0.950,bicubic,-48.837,-38.550,-45 +resnet101d.ra2_in1k,46.890,53.110,62.340,37.660,44.57,320,1.000,bicubic,-48.850,-36.870,-48 +swin_tiny_patch4_window7_224.ms_in22k_ft_in1k,46.837,53.163,64.117,35.883,28.29,224,0.900,bicubic,-47.963,-35.173,+143 +pvt_v2_b2_li.in1k,46.813,53.187,62.490,37.510,22.55,224,0.900,bicubic,-48.407,-36.770,+46 +resnet152.tv2_in1k,46.807,53.193,61.070,38.930,60.19,224,0.965,bilinear,-48.233,-38.110,+94 +regnety_640.seer_ft_in1k,46.710,53.290,63.233,36.767,281.38,384,1.000,bicubic,-49.350,-36.267,-117 +seresnext101_64x4d.gluon_in1k,46.650,53.350,61.283,38.717,88.23,224,0.875,bicubic,-48.000,-37.687,+170 +convnextv2_nano.fcmae_ft_in22k_in1k,46.607,53.393,62.957,37.043,15.62,288,1.000,bicubic,-48.813,-36.353,+3 +twins_pcpvt_large.in1k,46.607,53.393,62.270,37.730,60.99,224,0.900,bicubic,-49.113,-37.220,-49 +convnext_tiny.fb_in1k,46.587,53.413,63.187,36.813,28.59,288,1.000,bicubic,-48.623,-36.123,+42 +swin_base_patch4_window7_224.ms_in1k,46.543,53.457,61.580,38.420,87.77,224,0.900,bicubic,-49.357,-37.860,-89 +resnet152.a1h_in1k,46.540,53.460,60.403,39.597,60.19,288,1.000,bicubic,-49.210,-38.877,-61 +efficientformerv2_s2.snap_dist_in1k,46.527,53.473,61.720,38.280,12.71,224,0.950,bicubic,-48.593,-37.480,+66 +regnetv_064.ra3_in1k,46.480,53.520,62.257,37.743,30.58,288,1.000,bicubic,-49.300,-37.163,-66 +crossvit_15_dagger_408.in1k,46.467,53.533,60.483,39.517,28.50,408,1.000,bicubic,-49.363,-38.907,-79 +xcit_medium_24_p8_224.fb_in1k,46.467,53.533,59.653,40.347,84.32,224,1.000,bicubic,-49.393,-39.427,-83 +resnetrs200.tf_in1k,46.437,53.563,61.067,38.933,93.21,320,1.000,bicubic,-49.913,-38.483,-189 +swin_s3_small_224.ms_in1k,46.400,53.600,60.893,39.107,49.74,224,0.900,bicubic,-49.430,-38.287,-81 +coatnet_1_rw_224.sw_in1k,46.393,53.607,60.063,39.937,41.72,224,0.950,bicubic,-49.217,-39.157,-41 +gcvit_tiny.in1k,46.363,53.637,61.633,38.367,28.22,224,0.875,bicubic,-49.297,-37.697,-49 +rexnet_300.nav_in1k,46.360,53.640,62.697,37.303,34.71,224,0.875,bicubic,-49.180,-36.593,-32 +fbnetv3_g.ra2_in1k,46.337,53.663,62.390,37.610,16.62,288,0.950,bilinear,-48.783,-36.730,+55 +sequencer2d_m.in1k,46.297,53.703,60.920,39.080,38.31,224,0.875,bicubic,-49.283,-38.330,-40 +tresnet_xl.miil_in1k,46.290,53.710,61.937,38.063,78.44,224,0.875,bilinear,-48.790,-37.353,+62 +xcit_tiny_24_p8_224.fb_dist_in1k,46.283,53.717,60.590,39.410,12.11,224,1.000,bicubic,-49.167,-38.770,-17 +xcit_tiny_24_p8_384.fb_dist_in1k,46.260,53.740,60.730,39.270,12.11,384,1.000,bicubic,-49.970,-38.670,-170 +deit_small_distilled_patch16_224.fb_in1k,46.173,53.827,62.423,37.577,22.44,224,0.900,bicubic,-48.427,-36.607,+156 +gernet_m.idstcv_in1k,46.170,53.830,62.687,37.313,21.14,224,0.875,bilinear,-48.370,-36.233,+170 +regnety_160.deit_in1k,46.167,53.833,61.823,38.177,83.59,288,1.000,bicubic,-49.703,-37.617,-103 +crossvit_base_240.in1k,46.120,53.880,60.207,39.793,105.03,240,0.875,bicubic,-48.950,-38.773,+60 +resnest50d_1s4x24d.in1k,46.100,53.900,62.373,37.627,25.68,224,0.875,bicubic,-48.280,-36.697,+201 +swinv2_cr_small_ns_224.sw_in1k,46.100,53.900,60.800,39.200,49.70,224,0.900,bicubic,-49.610,-38.600,-67 +poolformerv2_m36.sail_in1k,46.043,53.957,62.247,37.753,56.08,224,1.000,bicubic,-49.007,-37.033,+63 +tf_efficientnet_b0.ns_jft_in1k,46.037,53.963,63.273,36.727,5.29,224,0.875,bicubic,-47.713,-35.657,+294 +poolformerv2_s36.sail_in1k,46.030,53.970,62.247,37.753,30.79,224,1.000,bicubic,-48.670,-36.833,+126 +resnet51q.ra2_in1k,46.027,53.973,60.910,39.090,35.70,288,1.000,bilinear,-49.173,-38.370,+21 +nest_base_jx.goog_in1k,46.027,53.973,60.100,39.900,67.72,224,0.875,bicubic,-49.513,-39.120,-46 +vit_small_patch16_224.augreg_in21k_ft_in1k,46.020,53.980,61.837,38.163,22.05,224,0.900,bicubic,-48.870,-37.233,+90 +vit_relpos_medium_patch16_224.sw_in1k,45.980,54.020,61.033,38.967,38.75,224,0.900,bicubic,-49.210,-38.187,+22 +regnety_080.ra3_in1k,45.980,54.020,60.850,39.150,39.18,288,1.000,bicubic,-49.890,-38.580,-111 +deit3_small_patch16_224.fb_in1k,45.940,54.060,58.873,41.127,22.06,224,0.900,bicubic,-48.750,-40.307,+127 +resnest50d.in1k,45.933,54.067,62.620,37.380,27.48,224,0.875,bilinear,-48.667,-36.530,+143 +convnext_nano.in12k_ft_in1k,45.900,54.100,62.693,37.307,15.59,288,1.000,bicubic,-49.450,-36.757,-18 +crossvit_18_240.in1k,45.900,54.100,60.347,39.653,43.27,240,0.875,bicubic,-49.170,-38.683,+44 +levit_384.fb_dist_in1k,45.880,54.120,61.683,38.317,39.13,224,0.900,bicubic,-49.330,-37.477,+10 +regnety_032.ra_in1k,45.880,54.120,61.543,38.457,19.44,288,1.000,bicubic,-49.580,-37.847,-41 +levit_conv_384.fb_dist_in1k,45.870,54.130,61.690,38.310,39.13,224,0.900,bicubic,-49.340,-37.590,+9 +twins_svt_base.in1k,45.863,54.137,60.973,39.027,56.07,224,0.900,bicubic,-49.697,-38.257,-60 +twins_pcpvt_base.in1k,45.853,54.147,61.327,38.673,43.83,224,0.900,bicubic,-49.617,-37.793,-49 +convnext_tiny_hnf.a2h_in1k,45.853,54.147,60.180,39.820,28.59,288,1.000,bicubic,-49.397,-39.020,-4 +crossvit_18_dagger_240.in1k,45.850,54.150,59.917,40.083,44.27,240,0.875,bicubic,-49.330,-39.243,+14 +regnetz_c16.ra3_in1k,45.790,54.210,62.737,37.263,13.46,320,1.000,bicubic,-49.590,-36.683,-31 +vit_relpos_medium_patch16_rpn_224.sw_in1k,45.743,54.257,60.983,39.017,38.73,224,0.900,bicubic,-49.317,-38.217,+39 +vit_srelpos_medium_patch16_224.sw_in1k,45.723,54.277,61.073,38.927,38.74,224,0.900,bicubic,-49.217,-37.967,+63 +crossvit_15_dagger_240.in1k,45.703,54.297,60.080,39.920,28.21,240,0.875,bicubic,-49.287,-39.110,+54 +regnetx_320.tv2_in1k,45.673,54.327,60.233,39.767,107.81,224,0.965,bicubic,-49.607,-39.057,-16 +convmixer_1536_20.in1k,45.663,54.337,61.743,38.257,51.63,224,0.960,bicubic,-49.307,-37.327,+55 +gc_efficientnetv2_rw_t.agc_in1k,45.657,54.343,60.193,39.807,13.68,288,1.000,bicubic,-49.633,-39.187,-20 +flexivit_small.1200ep_in1k,45.623,54.377,59.900,40.100,22.06,240,0.950,bicubic,-49.557,-39.220,+4 +dm_nfnet_f0.dm_in1k,45.617,54.383,61.277,38.723,71.49,256,0.900,bicubic,-50.073,-38.073,-93 +efficientnetv2_rw_t.ra2_in1k,45.607,54.393,60.177,39.823,13.65,288,1.000,bicubic,-49.453,-39.043,+30 +seresnext101_32x4d.gluon_in1k,45.600,54.400,61.160,38.840,48.96,224,0.875,bicubic,-48.830,-37.840,+160 +xcit_tiny_24_p16_384.fb_dist_in1k,45.580,54.420,60.507,39.493,12.12,384,1.000,bicubic,-49.910,-38.853,-64 +xcit_medium_24_p16_224.fb_in1k,45.537,54.463,59.007,40.993,84.40,224,1.000,bicubic,-49.593,-39.933,+12 +xcit_small_24_p16_224.fb_in1k,45.513,54.487,58.880,41.120,47.67,224,1.000,bicubic,-49.547,-40.190,+29 +resnext101_64x4d.c1_in1k,45.450,54.550,59.033,40.967,83.46,288,1.000,bicubic,-50.080,-40.257,-73 +regnety_320.seer_ft_in1k,45.427,54.573,62.227,37.773,145.05,384,1.000,bicubic,-50.373,-37.163,-124 +resnet152d.gluon_in1k,45.427,54.573,60.080,39.920,60.21,224,0.875,bicubic,-49.003,-39.010,+155 +nfnet_l0.ra2_in1k,45.417,54.583,62.083,37.917,35.07,288,1.000,bicubic,-49.963,-37.127,-49 +resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k,45.413,54.587,62.023,37.977,25.03,224,0.875,bilinear,-49.297,-37.217,+90 +xcit_small_12_p16_224.fb_in1k,45.413,54.587,59.403,40.597,26.25,224,1.000,bicubic,-49.407,-39.657,+70 +resnetv2_50x1_bit.goog_distilled_in1k,45.410,54.590,62.300,37.700,25.55,224,0.875,bicubic,-50.000,-37.020,-59 +cs3se_edgenet_x.c2ns_in1k,45.393,54.607,60.447,39.553,50.72,320,1.000,bicubic,-50.607,-38.903,-170 +resnet101.tv2_in1k,45.370,54.630,60.060,39.940,44.55,224,0.965,bilinear,-49.470,-38.970,+64 +nest_small_jx.goog_in1k,45.350,54.650,59.040,40.960,38.35,224,0.875,bicubic,-50.190,-40.280,-84 +tf_efficientnet_b7.aa_in1k,45.303,54.697,61.727,38.273,66.35,600,0.949,bicubic,-50.767,-37.613,-189 +pvt_v2_b2.in1k,45.280,54.720,60.613,39.387,25.36,224,0.900,bicubic,-49.730,-38.427,+27 +resnet61q.ra2_in1k,45.280,54.720,59.407,40.593,36.85,288,1.000,bicubic,-49.850,-39.853,-3 +cs3edgenet_x.c2_in1k,45.257,54.743,60.260,39.740,47.82,288,1.000,bicubic,-50.203,-39.060,-73 +nasnetalarge.tf_in1k,45.223,54.777,57.893,42.107,88.75,331,0.911,bicubic,-49.927,-41.237,-11 +focalnet_tiny_lrf.ms_in1k,45.217,54.783,61.300,38.700,28.65,224,0.900,bicubic,-49.973,-37.920,-20 +tresnet_xl.miil_in1k_448,45.210,54.790,61.437,38.563,78.44,448,0.875,bilinear,-50.300,-37.903,-87 +flexivit_small.600ep_in1k,45.207,54.793,59.407,40.593,22.06,240,0.950,bicubic,-50.053,-39.973,-41 +convit_small.fb_in1k,45.200,54.800,60.487,39.513,27.78,224,0.875,bicubic,-49.720,-38.693,+38 +swin_small_patch4_window7_224.ms_in1k,45.183,54.817,60.357,39.643,49.61,224,0.900,bicubic,-50.527,-38.933,-121 +sequencer2d_s.in1k,45.113,54.887,60.067,39.933,27.65,224,0.875,bicubic,-50.347,-39.193,-79 +tf_efficientnet_b3.aa_in1k,45.103,54.897,60.643,39.357,12.23,300,0.904,bicubic,-49.807,-38.467,+37 +rexnet_200.nav_in1k,45.057,54.943,62.323,37.677,16.37,224,0.875,bicubic,-49.613,-36.767,+87 +maxxvit_rmlp_nano_rw_256.sw_in1k,45.050,54.950,59.663,40.337,16.78,256,0.950,bicubic,-50.290,-39.677,-61 +resnetrs152.tf_in1k,44.950,55.050,59.690,40.310,86.62,320,1.000,bicubic,-51.010,-39.660,-178 +deit_base_patch16_224.fb_in1k,44.870,55.130,59.177,40.823,86.57,224,0.900,bicubic,-50.150,-39.993,+12 +flexivit_small.300ep_in1k,44.853,55.147,59.363,40.637,22.06,240,0.950,bicubic,-50.297,-39.787,-24 +focalnet_tiny_srf.ms_in1k,44.833,55.167,61.037,38.963,28.43,224,0.900,bicubic,-50.217,-38.103,+2 +coatnet_bn_0_rw_224.sw_in1k,44.803,55.197,60.913,39.087,27.44,224,0.950,bicubic,-50.177,-38.327,+16 +deit_base_patch16_384.fb_in1k,44.770,55.230,59.600,40.400,86.86,384,1.000,bicubic,-50.870,-39.820,-121 +resmlp_36_224.fb_distilled_in1k,44.763,55.237,61.073,38.927,44.69,224,0.875,bicubic,-49.797,-38.087,+99 +cait_xxs36_384.fb_dist_in1k,44.760,55.240,59.387,40.613,17.37,384,1.000,bicubic,-50.480,-39.933,-51 +resnet101.a1h_in1k,44.727,55.273,59.120,40.880,44.55,288,1.000,bicubic,-50.853,-40.150,-114 +gernet_l.idstcv_in1k,44.717,55.283,58.947,41.053,31.08,256,0.875,bilinear,-50.213,-40.253,+20 +tf_efficientnet_b2.ap_in1k,44.710,55.290,60.687,39.313,9.11,260,0.890,bicubic,-49.560,-38.403,+153 +resmlp_24_224.fb_distilled_in1k,44.707,55.293,61.463,38.537,30.02,224,0.875,bicubic,-49.623,-37.627,+142 +xcit_tiny_24_p16_224.fb_dist_in1k,44.707,55.293,59.417,40.583,12.12,224,1.000,bicubic,-49.533,-39.543,+157 +regnety_032.tv2_in1k,44.653,55.347,60.900,39.100,19.44,224,0.965,bicubic,-50.217,-38.240,+29 +ecaresnetlight.miil_in1k,44.580,55.420,60.383,39.617,30.16,288,0.950,bicubic,-49.950,-38.797,+95 +swinv2_tiny_window16_256.ms_in1k,44.570,55.430,59.573,40.427,28.35,256,0.900,bicubic,-50.760,-39.577,-76 +vit_relpos_small_patch16_224.sw_in1k,44.553,55.447,60.210,39.790,21.98,224,0.900,bicubic,-50.127,-38.710,+64 +gmlp_s16_224.ra3_in1k,44.470,55.530,58.617,41.383,19.42,224,0.875,bicubic,-49.030,-40.223,+261 +resnetv2_101.a1h_in1k,44.427,55.573,58.697,41.303,44.54,288,1.000,bicubic,-51.143,-40.573,-123 +regnety_160.tv2_in1k,44.417,55.583,59.227,40.773,83.59,224,0.965,bicubic,-50.743,-40.023,-43 +inception_resnet_v2.tf_ens_adv_in1k,44.393,55.607,58.117,41.883,55.84,299,0.897,bicubic,-49.727,-40.853,+170 +tresnet_l.miil_in1k,44.387,55.613,59.947,40.053,55.99,224,0.875,bilinear,-50.513,-39.083,+15 +maxxvitv2_nano_rw_256.sw_in1k,44.373,55.627,58.830,41.170,23.70,256,0.950,bicubic,-51.057,-40.360,-102 +resnext101_32x4d.gluon_in1k,44.283,55.717,59.060,40.940,44.18,224,0.875,bicubic,-49.847,-39.790,+164 +gcvit_xtiny.in1k,44.247,55.753,59.973,40.027,19.98,224,0.875,bicubic,-50.773,-39.187,-12 +regnety_080_tv.tv2_in1k,44.180,55.820,58.787,41.213,39.38,224,0.965,bicubic,-51.120,-40.573,-81 +maxvit_rmlp_nano_rw_256.sw_in1k,44.180,55.820,58.243,41.757,15.50,256,0.950,bicubic,-51.260,-40.817,-106 +poolformer_m48.sail_in1k,44.160,55.840,59.153,40.847,73.47,224,0.950,bicubic,-50.940,-39.947,-35 +regnetz_c16_evos.ch_in1k,44.143,55.857,61.073,38.927,13.49,320,0.950,bicubic,-51.497,-38.167,-145 +vit_srelpos_small_patch16_224.sw_in1k,44.130,55.870,59.693,40.307,21.97,224,0.900,bicubic,-50.420,-39.457,+78 +resnetv2_101x1_bit.goog_in21k_ft_in1k,44.127,55.873,61.950,38.050,44.54,448,1.000,bilinear,-51.193,-37.420,-89 +crossvit_15_240.in1k,44.113,55.887,59.143,40.857,27.53,240,0.875,bicubic,-50.587,-39.987,+42 +convnextv2_nano.fcmae_ft_in1k,44.100,55.900,60.167,39.833,15.62,288,1.000,bicubic,-51.040,-39.133,-51 +pit_b_224.in1k,44.080,55.920,58.023,41.977,73.76,224,0.900,bicubic,-50.730,-41.237,+22 +resnet152s.gluon_in1k,44.067,55.933,58.710,41.290,60.32,224,0.875,bicubic,-50.653,-40.120,+34 +resnet50.fb_ssl_yfcc100m_ft_in1k,44.020,55.980,61.887,38.113,25.56,224,0.875,bilinear,-50.300,-37.263,+120 +poolformer_m36.sail_in1k,44.010,55.990,59.033,40.967,56.17,224,0.950,bicubic,-51.020,-40.067,-26 +inception_resnet_v2.tf_in1k,44.003,55.997,57.920,42.080,55.84,299,0.897,bicubic,-50.357,-40.880,+111 +pnasnet5large.tf_in1k,43.943,56.057,56.740,43.260,86.06,331,0.911,bicubic,-51.417,-42.390,-104 +resnext101_64x4d.gluon_in1k,43.913,56.087,58.707,41.293,83.46,224,0.875,bicubic,-50.437,-40.363,+113 +wide_resnet50_2.tv2_in1k,43.910,56.090,59.630,40.370,68.88,224,0.965,bilinear,-50.900,-39.350,+11 +pit_s_224.in1k,43.910,56.090,58.640,41.360,23.46,224,0.900,bicubic,-50.680,-40.500,+58 +coatnext_nano_rw_224.sw_in1k,43.907,56.093,58.663,41.337,14.70,224,0.900,bicubic,-50.943,-40.537,+4 +coat_lite_small.in1k,43.813,56.187,57.127,42.873,19.84,224,0.900,bicubic,-51.257,-41.993,-44 +mobilevitv2_200.cvnets_in22k_ft_in1k,43.810,56.190,59.490,40.510,18.45,256,0.888,bicubic,-51.240,-39.660,-36 +regnetv_040.ra3_in1k,43.783,56.217,58.453,41.547,20.64,288,1.000,bicubic,-51.947,-40.927,-178 +tnt_s_patch16_224,43.777,56.223,59.220,40.780,23.76,224,0.900,bicubic,-50.783,-39.920,+58 +swinv2_cr_small_224.sw_in1k,43.767,56.233,57.717,42.283,49.70,224,0.900,bicubic,-51.643,-41.343,-122 +cspresnext50.ra_in1k,43.763,56.237,60.150,39.850,20.57,256,0.887,bilinear,-50.477,-38.900,+120 +cait_xxs36_224.fb_dist_in1k,43.757,56.243,58.740,41.260,17.30,224,1.000,bicubic,-50.153,-40.350,+169 +pit_xs_distilled_224.in1k,43.723,56.277,60.663,39.337,11.00,224,0.900,bicubic,-49.557,-38.057,+257 +swin_s3_tiny_224.ms_in1k,43.717,56.283,59.507,40.493,28.33,224,0.900,bicubic,-51.203,-39.593,-20 +tf_efficientnetv2_s.in1k,43.713,56.287,58.597,41.403,21.46,384,1.000,bicubic,-51.997,-40.783,-181 +rexnet_150.nav_in1k,43.690,56.310,60.923,39.077,9.73,224,0.875,bicubic,-50.580,-37.897,+108 +xcit_tiny_12_p8_224.fb_dist_in1k,43.643,56.357,58.477,41.523,6.71,224,1.000,bicubic,-51.047,-40.283,+21 +edgenext_small.usi_in1k,43.637,56.363,59.893,40.107,5.59,320,1.000,bicubic,-51.193,-39.517,-6 +tf_efficientnet_b5.in1k,43.620,56.380,60.130,39.870,30.39,456,0.934,bicubic,-52.250,-39.260,-214 +efficientformer_l1.snap_dist_in1k,43.593,56.407,59.957,40.043,12.29,224,0.950,bicubic,-50.347,-38.973,+155 +maxvit_nano_rw_256.sw_in1k,43.523,56.477,57.610,42.390,15.45,256,0.950,bicubic,-51.947,-41.780,-145 +wide_resnet50_2.racm_in1k,43.510,56.490,59.060,40.940,68.88,288,0.950,bicubic,-51.620,-40.230,-76 +cs3sedarknet_x.c2ns_in1k,43.503,56.497,58.770,41.230,35.40,288,1.000,bicubic,-51.907,-40.660,-137 +coatnet_rmlp_nano_rw_224.sw_in1k,43.503,56.497,58.610,41.390,15.15,224,0.900,bicubic,-51.587,-40.560,-67 +crossvit_small_240.in1k,43.483,56.517,58.947,41.053,26.86,240,0.875,bicubic,-51.097,-40.103,+37 +regnety_016.tv2_in1k,43.433,56.567,59.547,40.453,11.20,224,0.965,bicubic,-50.977,-39.493,+71 +resnet101d.gluon_in1k,43.430,56.570,58.627,41.373,44.57,224,0.875,bicubic,-50.750,-40.383,+116 +ecaresnet50t.ra2_in1k,43.417,56.583,59.313,40.687,25.57,320,0.950,bicubic,-51.663,-39.827,-70 +resnet101s.gluon_in1k,43.370,56.630,58.523,41.477,44.67,224,0.875,bicubic,-50.810,-40.417,+113 +cspdarknet53.ra_in1k,43.350,56.650,59.420,40.580,27.64,256,0.887,bilinear,-50.740,-39.560,+125 +tf_efficientnet_b4.in1k,43.333,56.667,59.450,40.550,19.34,380,0.922,bicubic,-52.147,-39.820,-158 +xcit_tiny_24_p8_224.fb_in1k,43.323,56.677,57.277,42.723,12.11,224,1.000,bicubic,-51.577,-41.743,-34 +xcit_tiny_12_p8_384.fb_dist_in1k,43.317,56.683,58.177,41.823,6.71,384,1.000,bicubic,-52.023,-41.133,-133 +visformer_small.in1k,43.273,56.727,57.977,42.023,40.22,224,0.900,bicubic,-51.697,-41.193,-50 +convmixer_768_32.in1k,43.270,56.730,59.383,40.617,21.11,224,0.960,bicubic,-51.170,-39.497,+57 +eca_nfnet_l0.ra2_in1k,43.220,56.780,59.923,40.077,24.14,288,1.000,bicubic,-52.240,-39.357,-159 +ecaresnet101d_pruned.miil_in1k,43.220,56.780,58.970,41.030,24.88,288,0.950,bicubic,-51.780,-40.260,-58 +regnety_064.ra3_in1k,43.210,56.790,57.247,42.753,30.58,288,1.000,bicubic,-52.580,-42.103,-218 +poolformerv2_s24.sail_in1k,43.193,56.807,60.430,39.570,21.34,224,1.000,bicubic,-51.277,-38.580,+46 +regnetx_160.tv2_in1k,43.187,56.813,57.480,42.520,54.28,224,0.965,bicubic,-52.023,-41.680,-113 +vit_relpos_base_patch32_plus_rpn_256.sw_in1k,43.183,56.817,58.403,41.597,119.42,256,0.900,bicubic,-49.957,-39.907,+246 +vit_small_patch32_384.augreg_in21k_ft_in1k,43.150,56.850,59.310,40.690,22.92,384,1.000,bicubic,-51.440,-39.760,+17 +resnest26d.gluon_in1k,43.140,56.860,60.633,39.367,17.07,224,0.875,bilinear,-50.090,-38.217,+234 +twins_pcpvt_small.in1k,43.120,56.880,58.900,41.100,24.11,224,0.900,bicubic,-51.480,-40.200,+11 +regnetx_080.tv2_in1k,43.090,56.910,57.923,42.077,39.57,224,0.965,bicubic,-51.640,-41.107,-15 +resmlp_36_224.fb_in1k,43.060,56.940,59.300,40.700,44.69,224,0.875,bicubic,-50.590,-39.650,+170 +cspresnet50.ra_in1k,43.053,56.947,59.163,40.837,21.62,256,0.887,bilinear,-50.817,-39.737,+140 +coatnet_nano_rw_224.sw_in1k,43.030,56.970,57.927,42.073,15.14,224,0.900,bicubic,-52.020,-41.153,-78 +ecaresnet50d.miil_in1k,43.020,56.980,59.417,40.583,25.58,288,0.950,bicubic,-51.650,-39.843,-4 +tf_efficientnet_lite4.in1k,42.990,57.010,57.620,42.380,13.01,380,0.920,bilinear,-51.880,-41.480,-43 +twins_svt_small.in1k,42.920,57.080,58.460,41.540,24.06,224,0.900,bicubic,-51.840,-40.490,-27 +dpn131.mx_in1k,42.917,57.083,57.130,42.870,79.25,224,0.875,bicubic,-50.863,-41.830,+147 +mobilevitv2_200.cvnets_in22k_ft_in1k_384,42.913,57.087,58.973,41.027,18.45,384,1.000,bicubic,-52.477,-40.307,-161 +resnet152.gluon_in1k,42.900,57.100,57.740,42.260,60.19,224,0.875,bicubic,-51.130,-41.110,+110 +fbnetv3_d.ra2_in1k,42.857,57.143,59.687,40.313,10.31,256,0.950,bilinear,-51.013,-39.183,+131 +resnet50.tv2_in1k,42.827,57.173,58.570,41.430,25.56,224,0.965,bilinear,-51.773,-40.520,+1 +levit_conv_256.fb_dist_in1k,42.823,57.177,57.897,42.103,18.89,224,0.900,bicubic,-51.577,-41.163,+42 +levit_256.fb_dist_in1k,42.813,57.187,57.893,42.107,18.89,224,0.900,bicubic,-51.587,-41.167,+40 +resnet152c.gluon_in1k,42.813,57.187,57.720,42.280,60.21,224,0.875,bicubic,-51.067,-41.080,+126 +tf_efficientnet_b1.ap_in1k,42.800,57.200,58.820,41.180,7.79,240,0.882,bicubic,-50.820,-39.950,+162 +resnext50_32x4d.tv2_in1k,42.780,57.220,57.563,42.437,25.03,224,0.965,bilinear,-51.680,-41.337,+26 +gcresnet50t.ra2_in1k,42.767,57.233,59.027,40.973,25.90,288,1.000,bicubic,-52.013,-40.093,-41 +coatnet_0_rw_224.sw_in1k,42.753,57.247,56.230,43.770,27.44,224,0.950,bicubic,-52.147,-42.960,-63 +tresnet_l.miil_in1k_448,42.743,57.257,58.943,41.057,55.99,448,0.875,bilinear,-52.657,-40.457,-174 +cs3darknet_x.c2ns_in1k,42.727,57.273,58.190,41.810,35.05,288,1.000,bicubic,-52.553,-41.100,-153 +dpn107.mx_in1k,42.710,57.290,57.160,42.840,86.92,224,0.875,bicubic,-51.300,-41.870,+103 +seresnext50_32x4d.gluon_in1k,42.683,57.317,58.707,41.293,27.56,224,0.875,bicubic,-51.497,-40.213,+77 +tresnet_m.miil_in1k,42.680,57.320,58.157,41.843,31.39,224,0.875,bilinear,-51.400,-40.673,+90 +convnext_nano.d1h_in1k,42.677,57.323,57.577,42.423,15.59,288,1.000,bicubic,-52.193,-41.653,-63 +resnetaa50d.sw_in12k_ft_in1k,42.610,57.390,58.490,41.510,25.58,288,1.000,bicubic,-52.680,-40.730,-160 +xcit_tiny_12_p16_384.fb_dist_in1k,42.593,57.407,58.083,41.917,6.72,384,1.000,bicubic,-51.927,-40.887,+4 +regnety_040.ra3_in1k,42.577,57.423,57.007,42.993,20.65,288,1.000,bicubic,-52.913,-42.413,-202 +resnext101_32x8d.tv_in1k,42.563,57.437,58.303,41.697,88.79,224,0.875,bilinear,-51.217,-40.547,+125 +nf_resnet50.ra2_in1k,42.520,57.480,59.530,40.470,25.56,288,0.940,bicubic,-51.860,-39.290,+30 +mobilevitv2_175.cvnets_in22k_ft_in1k,42.517,57.483,58.117,41.883,14.25,256,0.888,bicubic,-52.263,-40.973,-53 +seresnext50_32x4d.racm_in1k,42.433,57.567,58.093,41.907,27.56,288,0.950,bicubic,-52.567,-41.107,-96 +resnetrs101.tf_in1k,42.417,57.583,57.283,42.717,63.62,288,0.940,bicubic,-52.833,-41.697,-161 +poolformer_s36.sail_in1k,42.380,57.620,58.830,41.170,30.86,224,0.900,bicubic,-52.240,-40.290,-25 +nest_tiny_jx.goog_in1k,42.320,57.680,57.067,42.933,17.06,224,0.875,bicubic,-52.600,-42.103,-83 +tf_efficientnetv2_b3.in1k,42.313,57.687,57.943,42.057,14.36,300,0.904,bicubic,-52.807,-41.257,-129 +xcit_tiny_24_p16_224.fb_in1k,42.277,57.723,56.837,43.163,12.12,224,1.000,bicubic,-51.573,-41.913,+109 +resnet152.a1_in1k,42.273,57.727,55.530,44.470,60.19,288,1.000,bicubic,-52.817,-43.460,-125 +convmixer_1024_20_ks9_p14.in1k,42.267,57.733,59.723,40.277,24.38,224,0.960,bicubic,-50.063,-38.707,+280 +deit_small_patch16_224.fb_in1k,42.257,57.743,58.033,41.967,22.05,224,0.900,bicubic,-51.733,-41.007,+88 +tf_efficientnet_cc_b1_8e.in1k,42.253,57.747,58.437,41.563,39.72,240,0.882,bicubic,-51.327,-40.253,+145 +legacy_senet154.in1k,42.227,57.773,56.620,43.380,115.09,224,0.875,bilinear,-52.503,-42.480,-57 +cait_xxs24_384.fb_dist_in1k,42.183,57.817,57.473,42.527,12.03,384,1.000,bicubic,-52.767,-41.657,-98 +dpn98.mx_in1k,42.180,57.820,56.597,43.403,61.57,224,0.875,bicubic,-51.750,-42.313,+89 +xception41p.ra3_in1k,42.157,57.843,56.883,43.117,26.91,299,0.940,bicubic,-52.903,-42.277,-123 +tf_efficientnet_b2.aa_in1k,42.123,57.877,58.197,41.803,9.11,260,0.890,bicubic,-52.097,-40.733,+46 +resnet50.b1k_in1k,42.080,57.920,58.153,41.847,25.56,288,1.000,bicubic,-52.430,-40.917,-10 +resnext50_32x4d.gluon_in1k,42.050,57.950,57.673,42.327,25.03,224,0.875,bicubic,-51.620,-41.017,+123 +convnext_nano_ols.d1h_in1k,42.023,57.977,56.867,43.133,15.65,288,1.000,bicubic,-52.557,-42.243,-30 +pvt_v2_b1.in1k,41.960,58.040,59.597,40.403,14.01,224,0.900,bicubic,-51.530,-39.263,+148 +xcit_tiny_12_p16_224.fb_dist_in1k,41.940,58.060,57.247,42.753,6.72,224,1.000,bicubic,-51.410,-41.443,+170 +efficientnet_b2.ra_in1k,41.937,58.063,58.297,41.703,9.11,288,1.000,bicubic,-52.423,-40.743,+13 +mobilevitv2_150.cvnets_in22k_ft_in1k,41.937,58.063,57.913,42.087,10.59,256,0.888,bicubic,-52.743,-41.197,-53 +resnet50.b2k_in1k,41.910,58.090,57.673,42.327,25.56,288,1.000,bicubic,-52.390,-41.257,+23 +efficientformerv2_s1.snap_dist_in1k,41.883,58.117,57.967,42.033,6.19,224,0.950,bicubic,-51.957,-40.923,+92 +gcvit_xxtiny.in1k,41.833,58.167,58.443,41.557,12.00,224,0.875,bicubic,-52.217,-40.637,+60 +tf_efficientnet_b3.in1k,41.797,58.203,58.060,41.940,12.23,300,0.904,bicubic,-52.493,-41.040,+21 +mobilevitv2_150.cvnets_in22k_ft_in1k_384,41.790,58.210,57.807,42.193,10.59,384,1.000,bicubic,-53.560,-41.313,-203 +resnet50d.ra2_in1k,41.787,58.213,58.023,41.977,25.58,288,0.950,bicubic,-53.023,-40.797,-87 +resnext50_32x4d.a1h_in1k,41.753,58.247,56.443,43.557,25.03,288,1.000,bicubic,-53.237,-42.717,-123 +gcresnext50ts.ch_in1k,41.703,58.297,57.403,42.597,15.67,288,1.000,bicubic,-52.787,-41.607,-22 +poolformer_s24.sail_in1k,41.700,58.300,58.463,41.537,21.39,224,0.900,bicubic,-52.690,-40.597,-3 +edgenext_small_rw.sw_in1k,41.677,58.323,58.517,41.483,7.83,320,1.000,bicubic,-52.683,-40.533,+3 +mobilevitv2_175.cvnets_in22k_ft_in1k_384,41.673,58.327,58.010,41.990,14.25,384,1.000,bicubic,-53.587,-41.150,-194 +hrnet_w64.ms_in1k,41.647,58.353,57.123,42.877,128.06,224,0.875,bilinear,-52.183,-41.817,+83 +dla102x2.in1k,41.637,58.363,57.977,42.023,41.28,224,0.875,bilinear,-52.353,-40.983,+61 +senet154.gluon_in1k,41.627,58.373,56.353,43.647,115.09,224,0.875,bicubic,-53.073,-42.617,-74 +seresnet50.ra2_in1k,41.593,58.407,57.987,42.013,28.09,288,0.950,bicubic,-53.147,-41.123,-84 +cs3sedarknet_l.c2ns_in1k,41.557,58.443,57.343,42.657,21.91,288,0.950,bicubic,-53.553,-41.867,-160 +inception_v4.tf_in1k,41.557,58.443,55.380,44.620,42.68,299,0.875,bicubic,-52.823,-43.690,-8 +haloregnetz_b.ra3_in1k,41.533,58.467,57.083,42.917,11.68,224,0.940,bicubic,-52.987,-42.087,-39 +convnext_tiny.fb_in22k_ft_in1k,41.533,58.467,55.470,44.530,28.59,288,1.000,bicubic,-51.997,-43.130,+123 +swinv2_cr_tiny_ns_224.sw_in1k,41.523,58.477,57.183,42.817,28.33,224,0.900,bicubic,-53.247,-41.927,-94 +efficientnet_em.ra2_in1k,41.493,58.507,58.880,41.120,6.90,240,0.882,bicubic,-52.237,-40.050,+86 +efficientnet_el.ra_in1k,41.490,58.510,58.293,41.707,10.59,300,0.904,bicubic,-53.180,-40.837,-73 +tf_efficientnet_cc_b0_8e.in1k,41.487,58.513,57.363,42.637,24.01,224,0.875,bicubic,-51.383,-41.097,+203 +convnextv2_pico.fcmae_ft_in1k,41.477,58.523,58.050,41.950,9.07,288,0.950,bicubic,-53.083,-41.120,-52 +halo2botnet50ts_256.a1h_in1k,41.460,58.540,56.193,43.807,22.64,256,0.950,bicubic,-53.550,-42.947,-144 +swin_tiny_patch4_window7_224.ms_in1k,41.453,58.547,57.303,42.697,28.29,224,0.900,bicubic,-53.167,-41.847,-71 +resnetv2_50d_evos.ah_in1k,41.407,58.593,56.500,43.500,25.59,288,1.000,bicubic,-53.513,-42.600,-131 +resnet50.a1h_in1k,41.387,58.613,56.677,43.323,25.56,224,1.000,bicubic,-52.823,-42.243,+16 +cait_xxs24_224.fb_dist_in1k,41.370,58.630,57.520,42.480,11.96,224,1.000,bicubic,-52.080,-41.280,+124 +swinv2_tiny_window8_256.ms_in1k,41.370,58.630,57.150,42.850,28.35,256,0.900,bicubic,-53.650,-41.820,-153 +resnet152.tv_in1k,41.327,58.673,57.517,42.483,60.19,224,0.875,bilinear,-51.913,-41.183,+146 +resnet50.ram_in1k,41.297,58.703,55.033,44.967,25.56,288,0.950,bicubic,-52.703,-43.847,+41 +dpn68b.ra_in1k,41.293,58.707,55.080,44.920,12.61,288,1.000,bicubic,-52.497,-43.830,+67 +cs3darknet_l.c2ns_in1k,41.273,58.727,57.383,42.617,21.16,288,0.950,bicubic,-53.407,-41.847,-89 +xception71.tf_in1k,41.270,58.730,55.893,44.107,42.34,299,0.903,bicubic,-52.650,-43.057,+47 +gernet_s.idstcv_in1k,41.260,58.740,58.823,41.177,8.17,224,0.875,bilinear,-51.180,-39.677,+224 +inception_v3.tf_adv_in1k,41.240,58.760,56.327,43.673,23.83,299,0.875,bicubic,-51.760,-42.493,+168 +resnet101.a1_in1k,41.207,58.793,54.273,45.727,44.55,288,1.000,bicubic,-53.733,-44.927,-144 +dpn92.mx_in1k,41.203,58.797,56.217,43.783,37.67,224,0.875,bicubic,-52.947,-42.733,+11 +resnetv2_50d_gn.ah_in1k,41.113,58.887,56.520,43.480,25.57,288,1.000,bicubic,-54.107,-42.510,-213 +resnet50.c1_in1k,41.090,58.910,56.453,43.547,25.56,288,1.000,bicubic,-53.420,-42.547,-58 +nf_regnet_b1.ra2_in1k,41.013,58.987,58.143,41.857,10.22,288,0.900,bicubic,-52.877,-40.747,+44 +resnet50d.gluon_in1k,40.963,59.037,57.130,42.870,25.58,224,0.875,bicubic,-52.577,-41.580,+96 +fbnetv3_b.ra2_in1k,40.960,59.040,58.650,41.350,8.60,256,0.950,bilinear,-52.670,-40.300,+78 +resnet152.a3_in1k,40.937,59.063,55.020,44.980,60.19,224,0.950,bicubic,-53.503,-44.160,-48 +ecaresnet50d_pruned.miil_in1k,40.910,59.090,57.633,42.367,19.94,288,0.950,bicubic,-53.390,-41.567,-23 +inception_v3.gluon_in1k,40.907,59.093,55.627,44.373,23.83,299,0.875,bicubic,-52.653,-43.213,+88 +resnetv2_50.a1h_in1k,40.893,59.107,56.383,43.617,25.55,288,1.000,bicubic,-53.797,-42.707,-105 +cs3darknet_focus_l.c2ns_in1k,40.890,59.110,56.633,43.367,21.15,288,0.950,bicubic,-53.900,-42.527,-126 +levit_conv_192.fb_dist_in1k,40.840,59.160,56.707,43.293,10.95,224,0.900,bicubic,-52.870,-42.113,+64 +levit_192.fb_dist_in1k,40.837,59.163,56.710,43.290,10.95,224,0.900,bicubic,-52.873,-42.220,+62 +regnety_320.pycls_in1k,40.810,59.190,56.110,43.890,145.05,224,0.875,bicubic,-53.710,-42.850,-75 +regnetx_032.tv2_in1k,40.790,59.210,56.627,43.373,15.30,224,0.965,bicubic,-53.730,-42.143,-72 +eva02_tiny_patch14_336.mim_in22k_ft_in1k,40.767,59.233,56.063,43.937,5.76,336,1.000,bicubic,-53.683,-43.037,-62 +lamhalobotnet50ts_256.a1h_in1k,40.760,59.240,56.130,43.870,22.57,256,0.950,bicubic,-54.050,-43.100,-135 +maxvit_rmlp_pico_rw_256.sw_in1k,40.757,59.243,55.203,44.797,7.52,256,0.950,bicubic,-53.453,-43.747,-14 +legacy_xception.tf_in1k,40.753,59.247,56.397,43.603,22.86,299,0.897,bicubic,-52.867,-42.403,+69 +resnet152.a2_in1k,40.737,59.263,54.280,45.720,60.19,288,1.000,bicubic,-54.233,-44.930,-168 +vit_base_patch32_384.augreg_in1k,40.707,59.293,55.187,44.813,88.30,384,1.000,bicubic,-52.443,-43.423,+129 +skresnext50_32x4d.ra_in1k,40.703,59.297,56.020,43.980,27.48,224,0.875,bicubic,-53.257,-42.810,+17 +resnet101.gluon_in1k,40.693,59.307,56.123,43.877,44.55,224,0.875,bicubic,-53.067,-42.577,+42 +hrnet_w40.ms_in1k,40.663,59.337,56.753,43.247,57.56,224,0.875,bilinear,-53.067,-42.047,+46 +resmlp_24_224.fb_in1k,40.657,59.343,56.557,43.443,30.02,224,0.875,bicubic,-52.763,-42.273,+98 +resnet50.am_in1k,40.620,59.380,57.377,42.623,25.56,224,0.875,bicubic,-53.010,-41.493,+59 +resnext50_32x4d.ra_in1k,40.620,59.380,56.347,43.653,25.03,288,0.950,bicubic,-53.710,-42.683,-45 +repvgg_b1.rvgg_in1k,40.603,59.397,57.843,42.157,57.42,224,0.875,bilinear,-52.837,-40.977,+90 +ese_vovnet39b.ra_in1k,40.590,59.410,56.600,43.400,24.57,288,0.950,bicubic,-53.890,-42.460,-80 +halonet50ts.a1h_in1k,40.573,59.427,55.197,44.803,22.73,256,0.940,bicubic,-54.147,-43.863,-133 +tf_efficientnet_lite3.in1k,40.567,59.433,56.463,43.537,8.20,300,0.904,bilinear,-53.523,-42.497,-10 +mobilevitv2_175.cvnets_in1k,40.537,59.463,56.273,43.727,14.25,256,0.888,bicubic,-53.693,-42.657,-33 +xcit_tiny_12_p8_224.fb_in1k,40.537,59.463,55.647,44.353,6.71,224,1.000,bicubic,-53.813,-43.233,-55 +dla169.in1k,40.523,59.477,57.247,42.753,53.39,224,0.875,bilinear,-53.267,-41.293,+27 +tresnet_m.miil_in1k_448,40.513,59.487,56.690,43.310,31.39,448,0.875,bilinear,-54.147,-42.460,-121 +regnetz_b16.ra3_in1k,40.510,59.490,55.997,44.003,9.72,288,1.000,bicubic,-54.160,-43.133,-124 +pit_xs_224.in1k,40.497,59.503,56.540,43.460,10.62,224,0.900,bicubic,-52.393,-42.230,+147 +resnetaa50.a1h_in1k,40.483,59.517,55.993,44.007,25.56,288,1.000,bicubic,-54.367,-43.127,-163 +vit_base_patch16_384.augreg_in1k,40.473,59.527,53.247,46.753,86.86,384,1.000,bicubic,-53.967,-45.773,-81 +regnetx_320.pycls_in1k,40.470,59.530,55.653,44.347,107.81,224,0.875,bicubic,-53.760,-43.167,-42 +repvgg_b2.rvgg_in1k,40.467,59.533,57.780,42.220,89.02,224,0.875,bilinear,-53.113,-41.000,+52 +coat_mini.in1k,40.417,59.583,55.200,44.800,10.34,224,0.900,bicubic,-54.343,-43.890,-152 +eca_resnet33ts.ra2_in1k,40.400,59.600,57.337,42.663,19.68,288,1.000,bicubic,-53.850,-41.693,-48 +resnet34d.ra2_in1k,40.400,59.600,56.170,43.830,21.82,288,0.950,bicubic,-53.200,-42.590,+45 +skresnet34.ra_in1k,40.390,59.610,56.720,43.280,22.28,224,0.875,bicubic,-52.180,-41.800,+168 +efficientnet_el_pruned.in1k,40.377,59.623,56.893,43.107,10.59,300,0.904,bicubic,-53.703,-42.127,-24 +efficientnet_b2_pruned.in1k,40.373,59.627,56.523,43.477,8.31,260,0.890,bicubic,-53.427,-42.387,+12 +wide_resnet101_2.tv_in1k,40.360,59.640,55.793,44.207,126.89,224,0.875,bilinear,-53.360,-43.007,+23 +coat_lite_mini.in1k,40.357,59.643,55.697,44.303,11.01,224,0.900,bicubic,-53.113,-43.073,+62 +legacy_seresnext101_32x4d.in1k,40.347,59.653,54.817,45.183,48.96,224,0.875,bilinear,-53.773,-43.973,-33 +sebotnet33ts_256.a1h_in1k,40.347,59.653,53.223,46.777,13.70,256,0.940,bicubic,-53.963,-45.377,-67 +tf_efficientnet_b0.ap_in1k,40.343,59.657,56.803,43.197,5.29,224,0.875,bicubic,-52.277,-41.567,+155 +densenet201.tv_in1k,40.283,59.717,56.713,43.287,20.01,224,0.875,bicubic,-52.417,-41.887,+148 +regnetx_160.pycls_in1k,40.253,59.747,56.050,43.950,54.28,224,0.875,bicubic,-53.657,-42.840,-9 +xception65.tf_in1k,40.253,59.747,55.263,44.737,39.92,299,0.903,bicubic,-53.497,-43.597,+13 +resnet101.a2_in1k,40.190,59.810,54.223,45.777,44.55,288,1.000,bicubic,-54.700,-45.047,-188 +resnet50.c2_in1k,40.187,59.813,55.247,44.753,25.56,288,1.000,bicubic,-54.083,-43.793,-67 +resnet50.ra_in1k,40.180,59.820,56.197,43.803,25.56,288,0.950,bicubic,-53.920,-42.643,-39 +poolformerv2_s12.sail_in1k,40.163,59.837,57.450,42.550,11.89,224,1.000,bicubic,-52.727,-41.080,+126 +resnetblur50.bt_in1k,40.157,59.843,56.187,43.813,25.56,288,0.950,bicubic,-54.013,-42.823,-50 +mobilevitv2_200.cvnets_in1k,40.140,59.860,55.517,44.483,18.45,256,0.888,bicubic,-54.380,-43.393,-120 +darknetaa53.c2ns_in1k,40.120,59.880,55.777,44.223,36.02,288,1.000,bilinear,-54.090,-43.223,-57 +hrnet_w48.ms_in1k,40.107,59.893,56.623,43.377,77.47,224,0.875,bilinear,-53.903,-42.307,-32 +vit_base_patch16_224.sam_in1k,40.097,59.903,55.427,44.573,86.57,224,0.900,bicubic,-53.793,-43.323,-17 +resnet50_gn.a1h_in1k,40.060,59.940,54.857,45.143,25.56,288,0.950,bicubic,-54.560,-44.193,-149 +legacy_seresnet152.in1k,40.053,59.947,55.830,44.170,66.82,224,0.875,bilinear,-53.357,-43.000,+58 +resnet50.d_in1k,40.043,59.957,54.717,45.283,25.56,288,1.000,bicubic,-54.427,-44.283,-116 +hrnet_w30.ms_in1k,40.037,59.963,57.120,42.880,37.71,224,0.875,bilinear,-53.373,-41.730,+57 +regnetx_080.pycls_in1k,39.990,60.010,55.950,44.050,39.57,224,0.875,bicubic,-53.800,-42.910,-9 +seresnet33ts.ra2_in1k,39.987,60.013,56.403,43.597,19.78,288,1.000,bicubic,-54.273,-42.597,-76 +tf_efficientnet_b1.aa_in1k,39.967,60.033,56.123,43.877,7.79,240,0.882,bicubic,-53.753,-42.687,+1 +resnet101c.gluon_in1k,39.957,60.043,55.283,44.717,44.57,224,0.875,bicubic,-53.733,-43.477,+6 +convnext_pico_ols.d1_in1k,39.887,60.113,55.610,44.390,9.06,288,1.000,bicubic,-54.123,-43.420,-40 +resmlp_12_224.fb_distilled_in1k,39.833,60.167,57.430,42.570,15.35,224,0.875,bicubic,-53.037,-41.190,+113 +tf_efficientnetv2_b0.in1k,39.800,60.200,56.287,43.713,7.14,224,0.875,bicubic,-53.260,-42.413,+80 +res2net50_26w_8s.in1k,39.800,60.200,54.900,45.100,48.40,224,0.875,bilinear,-53.610,-43.850,+52 +darknet53.c2ns_in1k,39.740,60.260,55.283,44.717,41.61,288,1.000,bicubic,-54.620,-43.767,-104 +res2net101_26w_4s.in1k,39.720,60.280,54.550,45.450,45.21,224,0.875,bilinear,-53.810,-44.020,+23 +lambda_resnet50ts.a1h_in1k,39.720,60.280,54.373,45.627,21.54,256,0.950,bicubic,-54.850,-44.537,-147 +hrnet_w44.ms_in1k,39.690,60.310,55.330,44.670,67.06,224,0.875,bilinear,-53.930,-43.630,+6 +regnetx_120.pycls_in1k,39.687,60.313,55.643,44.357,46.11,224,0.875,bicubic,-54.573,-43.527,-88 +vit_small_patch32_224.augreg_in21k_ft_in1k,39.677,60.323,55.253,44.747,22.88,224,0.900,bicubic,-52.463,-43.267,+155 +resmlp_big_24_224.fb_in1k,39.637,60.363,54.830,45.170,129.14,224,0.875,bicubic,-54.633,-44.120,-91 +vit_small_patch16_384.augreg_in1k,39.630,60.370,54.237,45.763,22.20,384,1.000,bicubic,-54.980,-44.903,-165 +mixnet_xl.ra_in1k,39.623,60.377,55.873,44.127,11.90,224,0.875,bicubic,-54.607,-43.177,-85 +xception41.tf_in1k,39.607,60.393,55.013,44.987,26.97,299,0.903,bicubic,-53.873,-43.737,+24 +densenet161.tv_in1k,39.603,60.397,56.130,43.870,28.68,224,0.875,bicubic,-53.287,-42.660,+96 +dla102x.in1k,39.567,60.433,56.320,43.680,26.31,224,0.875,bilinear,-53.973,-42.530,+12 +tf_efficientnetv2_b1.in1k,39.567,60.433,55.337,44.663,8.14,240,0.882,bicubic,-54.143,-43.453,-15 +xcit_tiny_12_p16_224.fb_in1k,39.540,60.460,55.050,44.950,6.72,224,1.000,bicubic,-52.940,-43.380,+129 +sehalonet33ts.ra2_in1k,39.540,60.460,54.027,45.973,13.69,256,0.940,bicubic,-54.980,-45.143,-146 +convnext_pico.d1_in1k,39.520,60.480,55.317,44.683,9.05,288,0.950,bicubic,-54.510,-43.693,-65 +tf_efficientnet_b2.in1k,39.513,60.487,56.107,43.893,9.11,260,0.890,bicubic,-54.197,-42.683,-20 +rexnet_130.nav_in1k,39.480,60.520,56.637,43.363,7.56,224,0.875,bicubic,-54.200,-42.063,-15 +hrnet_w32.ms_in1k,39.473,60.527,56.123,43.877,41.23,224,0.875,bilinear,-53.487,-42.727,+77 +levit_128.fb_dist_in1k,39.447,60.553,55.350,44.650,9.21,224,0.900,bicubic,-53.583,-43.360,+62 +levit_conv_128.fb_dist_in1k,39.447,60.553,55.337,44.663,9.21,224,0.900,bicubic,-53.583,-43.363,+62 +resnetv2_50x1_bit.goog_in21k_ft_in1k,39.433,60.567,57.853,42.147,25.55,448,1.000,bilinear,-55.307,-41.327,-206 +ecaresnet50t.a1_in1k,39.417,60.583,53.680,46.320,25.57,288,1.000,bicubic,-55.473,-45.380,-232 +regnety_064.pycls_in1k,39.393,60.607,55.770,44.230,30.58,224,0.875,bicubic,-54.737,-43.260,-87 +regnety_120.pycls_in1k,39.347,60.653,55.277,44.723,51.82,224,0.875,bicubic,-54.663,-43.543,-69 +gcresnet33ts.ra2_in1k,39.327,60.673,55.887,44.113,19.88,288,1.000,bicubic,-55.023,-43.213,-123 +mobilevitv2_150.cvnets_in1k,39.323,60.677,55.230,44.770,10.59,256,0.888,bicubic,-54.727,-43.670,-77 +tf_efficientnet_el.in1k,39.297,60.703,55.377,44.623,10.59,300,0.904,bicubic,-55.053,-43.583,-127 +resnet101.tv_in1k,39.293,60.707,55.790,44.210,44.55,224,0.875,bilinear,-53.587,-42.870,+81 +resnet50s.gluon_in1k,39.257,60.743,55.023,44.977,25.68,224,0.875,bicubic,-54.313,-43.817,-10 +regnety_160.pycls_in1k,39.250,60.750,55.447,44.553,83.59,224,0.875,bicubic,-54.880,-43.573,-93 +resnet101.a3_in1k,39.250,60.750,53.707,46.293,44.55,224,0.950,bicubic,-54.610,-45.053,-54 +inception_v3.tf_in1k,39.223,60.777,54.310,45.690,23.83,299,0.875,bicubic,-53.967,-44.350,+36 +resnext50_32x4d.a1_in1k,39.183,60.817,53.360,46.640,25.03,288,1.000,bicubic,-55.197,-45.420,-138 +densenet169.tv_in1k,39.170,60.830,55.860,44.140,14.15,224,0.875,bicubic,-53.130,-42.750,+119 +tf_efficientnetv2_b2.in1k,39.167,60.833,54.567,45.433,10.10,260,0.890,bicubic,-54.893,-44.363,-88 +resnext50d_32x4d.bt_in1k,39.100,60.900,54.343,45.657,25.05,288,0.950,bicubic,-55.300,-44.707,-147 +legacy_seresnet101.in1k,39.040,60.960,55.003,44.997,49.33,224,0.875,bilinear,-54.230,-43.737,+23 +efficientnet_b1_pruned.in1k,39.007,60.993,55.633,44.367,6.33,240,0.882,bicubic,-53.973,-43.097,+56 +repvgg_b1g4.rvgg_in1k,38.980,61.020,56.353,43.647,39.97,224,0.875,bilinear,-54.050,-42.247,+41 +crossvit_9_dagger_240.in1k,38.967,61.033,54.870,45.130,8.78,240,0.875,bicubic,-53.793,-43.780,+81 +resnet50.a1_in1k,38.963,61.037,53.243,46.757,25.56,288,1.000,bicubic,-55.257,-45.507,-116 +inception_v3.tv_in1k,38.943,61.057,53.873,46.127,23.83,299,0.875,bicubic,-53.957,-44.857,+63 +regnety_080.pycls_in1k,38.910,61.090,55.190,44.810,39.18,224,0.875,bicubic,-54.970,-43.810,-71 +res2net101d.in1k,38.907,61.093,53.053,46.947,45.23,224,0.875,bilinear,-55.623,-45.927,-183 +legacy_seresnext50_32x4d.in1k,38.890,61.110,54.577,45.423,27.56,224,0.875,bilinear,-54.560,-44.203,-8 +dla102.in1k,38.833,61.167,55.310,44.690,33.27,224,0.875,bilinear,-54.417,-43.480,+15 +visformer_tiny.in1k,38.830,61.170,55.023,44.977,10.32,224,0.900,bicubic,-54.150,-43.647,+44 +regnety_040.pycls_in1k,38.823,61.177,55.580,44.420,20.65,224,0.875,bicubic,-54.807,-43.330,-42 +regnetx_040.pycls_in1k,38.710,61.290,55.357,44.643,22.12,224,0.875,bicubic,-54.980,-43.573,-49 +res2net50_14w_8s.in1k,38.710,61.290,54.073,45.927,25.06,224,0.875,bilinear,-54.320,-44.747,+33 +dpn68.mx_in1k,38.687,61.313,54.687,45.313,12.61,224,0.875,bicubic,-53.613,-43.903,+101 +regnetx_032.pycls_in1k,38.680,61.320,55.160,44.840,15.30,224,0.875,bicubic,-54.560,-43.560,+11 +res2net50_26w_6s.in1k,38.680,61.320,53.773,46.227,37.05,224,0.875,bilinear,-54.910,-44.857,-40 +resnet33ts.ra2_in1k,38.667,61.333,55.167,44.833,19.68,288,1.000,bicubic,-55.263,-43.713,-88 +wide_resnet50_2.tv_in1k,38.650,61.350,54.463,45.537,68.88,224,0.875,bilinear,-54.810,-44.487,-19 +regnetx_016.tv2_in1k,38.620,61.380,54.733,45.267,9.19,224,0.965,bicubic,-55.400,-44.197,-103 +SelecSls60.in1k,38.613,61.387,55.613,44.387,30.67,224,0.875,bicubic,-54.387,-42.877,+31 +dla60x.in1k,38.607,61.393,55.400,44.600,17.35,224,0.875,bilinear,-54.583,-43.320,+8 +densenetblur121d.ra_in1k,38.600,61.400,55.640,44.360,8.00,288,0.950,bicubic,-54.430,-43.060,+25 +tf_efficientnet_b0.aa_in1k,38.587,61.413,55.977,44.023,5.29,224,0.875,bicubic,-53.813,-42.493,+87 +dla60_res2net.in1k,38.583,61.417,54.577,45.423,20.85,224,0.875,bilinear,-54.787,-44.253,-9 +SelecSls60b.in1k,38.557,61.443,55.313,44.687,32.77,224,0.875,bicubic,-54.943,-43.467,-34 +repvgg_a2.rvgg_in1k,38.553,61.447,55.767,44.233,28.21,224,0.875,bilinear,-54.127,-42.513,+63 +seresnet50.a1_in1k,38.537,61.463,53.413,46.587,28.09,288,1.000,bicubic,-55.623,-45.437,-130 +dpn68b.mx_in1k,38.530,61.470,55.183,44.817,12.61,224,0.875,bicubic,-54.260,-43.337,+51 +hardcorenas_f.miil_green_in1k,38.513,61.487,55.653,44.347,8.20,224,0.875,bilinear,-54.467,-42.967,+27 +resnet32ts.ra2_in1k,38.503,61.497,55.497,44.503,17.96,288,1.000,bicubic,-55.087,-43.243,-53 +dla60_res2next.in1k,38.443,61.557,54.950,45.050,17.03,224,0.875,bilinear,-55.137,-44.120,-51 +resmlp_12_224.fb_in1k,38.440,61.560,56.327,43.673,15.35,224,0.875,bicubic,-53.680,-42.243,+93 +tf_efficientnet_cc_b0_4e.in1k,38.430,61.570,55.177,44.823,13.31,224,0.875,bicubic,-54.390,-43.263,+44 +regnetx_064.pycls_in1k,38.420,61.580,54.993,45.007,26.21,224,0.875,bicubic,-55.220,-44.047,-66 +resnet50.gluon_in1k,38.410,61.590,54.830,45.170,25.56,224,0.875,bicubic,-54.150,-43.720,+65 +resnet50d.a1_in1k,38.403,61.597,52.860,47.140,25.58,288,1.000,bicubic,-55.997,-46.200,-183 +regnety_008_tv.tv2_in1k,38.343,61.657,54.267,45.733,6.43,224,0.965,bicubic,-54.817,-44.413,-4 +hrnet_w18.ms_in1k,38.267,61.733,55.660,44.340,21.30,224,0.875,bilinear,-54.503,-42.960,+43 +tinynet_a.in1k,38.227,61.773,55.187,44.813,6.19,192,0.875,bicubic,-54.573,-43.373,+38 +ecaresnet50t.a3_in1k,38.227,61.773,53.650,46.350,25.57,224,0.950,bicubic,-55.633,-45.200,-100 +resnet34.a1_in1k,38.220,61.780,52.373,47.627,21.80,288,1.000,bicubic,-54.780,-46.257,+11 +densenet121.ra_in1k,38.177,61.823,55.140,44.860,7.98,288,0.950,bicubic,-54.523,-43.500,+46 +mixnet_l.ft_in1k,38.173,61.827,54.800,45.200,7.33,224,0.875,bicubic,-55.067,-43.950,-16 +regnety_032.pycls_in1k,38.170,61.830,54.370,45.630,19.44,224,0.875,bicubic,-55.290,-44.580,-46 +poolformer_s12.sail_in1k,38.157,61.843,56.207,43.793,11.92,224,0.900,bicubic,-54.343,-42.193,+57 +hardcorenas_e.miil_green_in1k,38.157,61.843,55.173,44.827,8.07,224,0.875,bilinear,-54.783,-43.497,+16 +efficientnet_b1.ft_in1k,38.080,61.920,54.000,46.000,7.79,256,1.000,bicubic,-54.940,-44.710,+2 +ecaresnet50t.a2_in1k,38.053,61.947,52.967,47.033,25.57,288,1.000,bicubic,-56.517,-46.073,-233 +gmixer_24_224.ra3_in1k,38.050,61.950,52.077,47.923,24.72,224,0.875,bicubic,-54.630,-46.453,+41 +vit_base_patch16_224.augreg_in1k,38.043,61.957,50.710,49.290,86.57,224,0.900,bicubic,-55.307,-48.050,-31 +coat_lite_tiny.in1k,38.033,61.967,53.463,46.537,5.72,224,0.900,bicubic,-54.827,-45.167,+24 +resnetrs50.tf_in1k,37.970,62.030,53.303,46.697,35.69,224,0.910,bicubic,-56.060,-45.437,-138 +resnext50_32x4d.a2_in1k,37.933,62.067,52.353,47.647,25.03,288,1.000,bicubic,-56.287,-46.687,-164 +mobilevitv2_125.cvnets_in1k,37.893,62.107,54.067,45.933,7.48,256,0.888,bicubic,-55.587,-44.773,-59 +resnet50c.gluon_in1k,37.880,62.120,54.117,45.883,25.58,224,0.875,bicubic,-55.030,-44.583,+11 +hardcorenas_c.miil_green_in1k,37.857,62.143,55.717,44.283,5.52,224,0.875,bilinear,-54.493,-42.623,+57 +efficientformerv2_s0.snap_dist_in1k,37.820,62.180,54.047,45.953,3.60,224,0.950,bicubic,-54.050,-44.323,+77 +res2net50_26w_4s.in1k,37.810,62.190,53.080,46.920,25.70,224,0.875,bilinear,-55.370,-45.580,-26 +efficientnet_es.ra_in1k,37.783,62.217,54.957,45.043,5.44,224,0.875,bicubic,-55.137,-43.603,+4 +resnest14d.gluon_in1k,37.773,62.227,56.473,43.527,10.61,224,0.875,bilinear,-53.377,-41.857,+102 +convnext_femto.d1_in1k,37.733,62.267,54.100,45.900,5.22,288,0.950,bicubic,-55.707,-44.550,-58 +resnext50_32x4d.tv_in1k,37.727,62.273,54.103,45.897,25.03,224,0.875,bilinear,-55.173,-44.217,+5 +pit_ti_distilled_224.in1k,37.707,62.293,55.643,44.357,5.10,224,0.900,bicubic,-53.023,-42.607,+111 +ecaresnet26t.ra2_in1k,37.667,62.333,54.357,45.643,16.01,320,0.950,bicubic,-56.273,-44.673,-137 +seresnet50.a2_in1k,37.667,62.333,52.373,47.627,28.09,288,1.000,bicubic,-56.783,-46.517,-224 +vit_base_patch32_224.augreg_in1k,37.563,62.437,51.810,48.190,88.22,224,0.900,bicubic,-53.027,-45.910,+111 +hardcorenas_d.miil_green_in1k,37.530,62.470,54.710,45.290,7.50,224,0.875,bilinear,-55.080,-43.800,+28 +res2next50.in1k,37.483,62.517,52.853,47.147,24.67,224,0.875,bilinear,-55.667,-45.787,-33 +convnextv2_femto.fcmae_ft_in1k,37.477,62.523,53.507,46.493,5.23,288,0.950,bicubic,-56.273,-45.463,-116 +resnet50.bt_in1k,37.420,62.580,53.860,46.140,25.56,288,0.950,bicubic,-56.540,-45.070,-146 +hrnet_w18.ms_aug_in1k,37.337,62.663,54.123,45.877,21.30,224,0.950,bilinear,-56.143,-44.857,-77 +lambda_resnet26t.c1_in1k,37.300,62.700,53.560,46.440,10.96,256,0.940,bicubic,-56.130,-45.170,-65 +convnext_femto_ols.d1_in1k,37.253,62.747,53.047,46.953,5.23,288,0.950,bicubic,-56.137,-45.863,-59 +hardcorenas_b.miil_green_in1k,37.240,62.760,55.037,44.963,5.18,224,0.875,bilinear,-54.680,-43.373,+57 +resnet50d.a2_in1k,37.227,62.773,51.743,48.257,25.58,288,1.000,bicubic,-57.233,-47.287,-236 +mobilenetv3_large_100.miil_in21k_ft_in1k,37.223,62.777,53.540,46.460,5.48,224,0.875,bilinear,-55.037,-44.700,+45 +res2net50d.in1k,37.223,62.777,51.387,48.613,25.72,224,0.875,bilinear,-57.057,-47.473,-203 +eca_halonext26ts.c1_in1k,37.170,62.830,53.103,46.897,10.76,256,0.940,bicubic,-56.380,-45.717,-93 +cs3darknet_focus_m.c2ns_in1k,37.140,62.860,53.910,46.090,9.30,288,0.950,bicubic,-55.960,-44.840,-39 +res2net50_48w_2s.in1k,37.120,62.880,53.327,46.673,25.29,224,0.875,bilinear,-55.660,-45.143,0 +lambda_resnet26rpt_256.c1_in1k,37.103,62.897,53.860,46.140,10.99,256,0.940,bicubic,-56.327,-45.020,-75 +vit_small_patch16_224.augreg_in1k,37.077,62.923,51.547,48.453,22.05,224,0.900,bicubic,-56.373,-47.233,-80 +rexnet_100.nav_in1k,37.063,62.937,54.047,45.953,4.80,224,0.875,bicubic,-55.767,-44.553,-7 +bat_resnext26ts.ch_in1k,37.057,62.943,53.743,46.257,10.73,256,0.900,bicubic,-56.063,-44.987,-45 +resnet50.a2_in1k,37.047,62.953,51.347,48.653,25.56,288,1.000,bicubic,-57.083,-47.593,-183 +dla60.in1k,37.043,62.957,54.213,45.787,22.04,224,0.875,bilinear,-55.597,-44.417,+6 +tf_efficientnet_b1.in1k,37.017,62.983,53.413,46.587,7.79,240,0.882,bicubic,-55.923,-45.117,-27 +regnety_016.pycls_in1k,37.013,62.987,54.083,45.917,11.20,224,0.875,bicubic,-55.997,-44.587,-38 +tf_mixnet_l.in1k,36.967,63.033,52.597,47.403,7.33,224,0.875,bicubic,-56.063,-45.933,-41 +botnet26t_256.c1_in1k,36.963,63.037,53.053,46.947,12.49,256,0.950,bicubic,-56.477,-45.737,-85 +resnet34.a2_in1k,36.953,63.047,51.433,48.567,21.80,288,1.000,bicubic,-55.617,-47.137,+7 +legacy_seresnet50.in1k,36.863,63.137,53.473,46.527,28.09,224,0.875,bilinear,-55.807,-45.177,-1 +halonet26t.a1h_in1k,36.843,63.157,52.270,47.730,12.48,256,0.950,bicubic,-56.747,-46.470,-115 +densenet121.tv_in1k,36.807,63.193,54.030,45.970,7.98,224,0.875,bicubic,-54.593,-44.220,+57 +tf_efficientnet_lite2.in1k,36.797,63.203,53.313,46.687,6.09,260,0.890,bicubic,-55.793,-45.227,+2 +mobilenetv2_120d.ra_in1k,36.793,63.207,54.047,45.953,5.83,224,0.875,bicubic,-55.817,-44.383,-2 +tf_efficientnet_lite1.in1k,36.727,63.273,53.580,46.420,5.42,240,0.882,bicubic,-55.563,-44.920,+20 +hardcorenas_a.miil_green_in1k,36.707,63.293,54.930,45.070,5.26,224,0.875,bilinear,-54.913,-43.360,+44 +regnetx_016.pycls_in1k,36.693,63.307,53.307,46.693,9.19,224,0.875,bicubic,-55.837,-45.243,+3 +eca_botnext26ts_256.c1_in1k,36.690,63.310,52.493,47.507,10.59,256,0.950,bicubic,-56.660,-46.197,-83 +levit_conv_128s.fb_dist_in1k,36.623,63.377,53.137,46.863,7.78,224,0.900,bicubic,-54.877,-45.263,+45 +levit_128s.fb_dist_in1k,36.623,63.377,53.130,46.870,7.78,224,0.900,bicubic,-54.887,-45.270,+45 +efficientnet_b0.ra_in1k,36.593,63.407,53.477,46.523,5.29,224,0.875,bicubic,-55.887,-45.203,+2 +resnext50_32x4d.a3_in1k,36.553,63.447,51.143,48.857,25.03,224,0.950,bicubic,-56.997,-47.537,-120 +vit_base_patch32_224.sam_in1k,36.543,63.457,53.043,46.957,88.22,224,0.900,bicubic,-53.327,-44.557,+86 +xcit_nano_12_p8_224.fb_dist_in1k,36.513,63.487,52.873,47.127,3.05,224,1.000,bicubic,-55.917,-45.657,+3 +cs3darknet_m.c2ns_in1k,36.480,63.520,53.230,46.770,9.31,288,0.950,bicubic,-56.800,-45.560,-85 +mobilevitv2_100.cvnets_in1k,36.397,63.603,53.073,46.927,4.90,256,0.888,bicubic,-56.743,-45.687,-71 +tf_efficientnet_em.in1k,36.390,63.610,52.843,47.157,6.90,240,0.882,bicubic,-56.800,-45.647,-79 +resnet50d.a3_in1k,36.337,63.663,51.330,48.670,25.58,224,0.950,bicubic,-57.073,-47.360,-98 +skresnet18.ra_in1k,36.313,63.687,54.183,45.817,11.96,224,0.875,bicubic,-53.867,-43.597,+78 +repvgg_b0.rvgg_in1k,36.293,63.707,54.063,45.937,15.82,224,0.875,bilinear,-55.387,-44.387,+26 +resnet34.bt_in1k,36.257,63.743,52.757,47.243,21.80,288,0.950,bicubic,-56.023,-45.843,+5 +resnet50.tv_in1k,36.183,63.817,52.797,47.203,25.56,224,0.875,bilinear,-55.937,-45.613,+13 +legacy_seresnet34.in1k,36.150,63.850,52.570,47.430,21.96,224,0.875,bilinear,-55.340,-45.630,+33 +xcit_nano_12_p16_384.fb_dist_in1k,36.140,63.860,53.247,46.753,3.05,384,1.000,bicubic,-56.000,-45.263,+8 +coat_tiny.in1k,36.117,63.883,51.047,48.953,5.50,224,0.900,bicubic,-57.393,-47.633,-127 +resnet34.tv_in1k,36.070,63.930,53.537,46.463,21.80,224,0.875,bilinear,-54.230,-44.433,+66 +deit_tiny_distilled_patch16_224.fb_in1k,36.023,63.977,54.247,45.753,5.91,224,0.900,bicubic,-55.057,-44.023,+48 +mobilenetv2_140.ra_in1k,35.997,64.003,53.963,46.037,6.11,224,0.875,bicubic,-56.053,-44.287,+9 +convnextv2_atto.fcmae_ft_in1k,35.990,64.010,51.183,48.817,3.71,288,0.950,bicubic,-56.930,-47.497,-56 +resnet50.a3_in1k,35.950,64.050,50.487,49.513,25.56,224,0.950,bicubic,-56.990,-48.173,-60 +tf_efficientnet_lite0.in1k,35.940,64.060,53.490,46.510,4.65,224,0.875,bicubic,-55.340,-44.350,+30 +SelecSls42b.in1k,35.823,64.177,52.473,47.527,32.46,224,0.875,bicubic,-56.657,-46.157,-17 +xcit_nano_12_p8_384.fb_dist_in1k,35.797,64.203,52.297,47.703,3.05,384,1.000,bicubic,-57.503,-46.563,-105 +seresnext26ts.ch_in1k,35.780,64.220,53.460,46.540,10.39,288,1.000,bicubic,-57.160,-45.120,-68 +resnet34.gluon_in1k,35.780,64.220,52.183,47.817,21.80,224,0.875,bicubic,-55.310,-45.987,+40 +convnext_atto.d2_in1k,35.773,64.227,52.323,47.677,3.70,288,0.950,bicubic,-56.997,-46.337,-46 +seresnet50.a3_in1k,35.757,64.243,51.163,48.837,28.09,224,0.950,bicubic,-56.603,-47.167,-17 +resnet26t.ra2_in1k,35.727,64.273,53.583,46.417,16.01,320,1.000,bicubic,-57.193,-45.107,-66 +efficientnet_lite0.ra_in1k,35.647,64.353,53.667,46.333,4.65,224,0.875,bicubic,-55.613,-44.573,+24 +dla34.in1k,35.637,64.363,52.797,47.203,15.74,224,0.875,bilinear,-55.583,-45.373,+24 +mixnet_m.ft_in1k,35.633,64.367,52.430,47.570,5.01,224,0.875,bicubic,-56.637,-45.930,-13 +resnet18.fb_ssl_yfcc100m_ft_in1k,35.613,64.387,53.753,46.247,11.69,224,0.875,bilinear,-55.087,-44.277,+41 +mobilenetv3_rw.rmsp_in1k,35.543,64.457,53.707,46.293,5.48,224,0.875,bicubic,-56.007,-44.573,+10 +regnetx_008.tv2_in1k,35.533,64.467,51.477,48.523,7.26,224,0.965,bicubic,-56.957,-46.953,-32 +convnext_atto_ols.a2_in1k,35.403,64.597,51.390,48.610,3.70,288,0.950,bicubic,-57.577,-47.140,-82 +efficientnet_es_pruned.in1k,35.387,64.613,52.837,47.163,5.44,224,0.875,bicubic,-56.303,-45.573,-1 +mobilenetv2_110d.ra_in1k,35.307,64.693,52.870,47.130,4.52,224,0.875,bicubic,-56.023,-45.320,+13 +tf_mixnet_m.in1k,35.197,64.803,50.990,49.010,5.01,224,0.875,bicubic,-57.013,-47.430,-18 +hrnet_w18_small_v2.ms_in1k,35.163,64.837,52.423,47.577,15.60,224,0.875,bilinear,-55.997,-45.917,+19 +xcit_nano_12_p16_224.fb_dist_in1k,35.120,64.880,52.547,47.453,3.05,224,1.000,bicubic,-55.070,-45.203,+46 +resnet34.a3_in1k,35.033,64.967,50.503,49.497,21.80,224,0.950,bicubic,-55.207,-47.377,+42 +convit_tiny.fb_in1k,35.027,64.973,51.777,48.223,5.71,224,0.875,bicubic,-55.523,-46.413,+34 +gcresnext26ts.ch_in1k,35.023,64.977,51.493,48.507,10.48,288,1.000,bicubic,-57.717,-47.117,-59 +eca_resnext26ts.ch_in1k,34.930,65.070,52.373,47.627,10.30,288,1.000,bicubic,-57.820,-46.337,-61 +regnety_004.tv2_in1k,34.923,65.077,51.263,48.737,4.34,224,0.965,bicubic,-56.697,-46.907,-6 +tinynet_b.in1k,34.867,65.133,52.003,47.997,3.73,188,0.875,bicubic,-56.253,-46.057,+16 +resnext26ts.ra2_in1k,34.847,65.153,52.710,47.290,10.30,288,1.000,bicubic,-57.533,-45.680,-38 +regnety_008.pycls_in1k,34.780,65.220,51.737,48.263,6.26,224,0.875,bicubic,-57.110,-46.673,-17 +pit_ti_224.in1k,34.670,65.330,52.160,47.840,4.85,224,0.900,bicubic,-55.750,-45.850,+31 +tf_efficientnet_b0.in1k,34.627,65.373,51.140,48.860,5.29,224,0.875,bicubic,-57.653,-47.410,-33 +crossvit_9_240.in1k,34.620,65.380,51.770,48.230,8.55,240,0.875,bicubic,-56.440,-46.530,+16 +mobilenetv3_large_100.ra_in1k,34.610,65.390,52.840,47.160,5.48,224,0.875,bicubic,-56.860,-45.480,-5 +mixer_b16_224.goog_in21k_ft_in1k,34.427,65.573,48.107,51.893,59.88,224,0.875,bicubic,-56.713,-49.293,+8 +pvt_v2_b0.in1k,34.400,65.600,53.103,46.897,3.67,224,0.900,bicubic,-54.570,-44.587,+49 +tf_efficientnet_es.in1k,34.257,65.743,51.357,48.643,5.44,224,0.875,bicubic,-57.853,-47.073,-29 +fbnetc_100.rmsp_in1k,34.253,65.747,51.190,48.810,5.57,224,0.875,bilinear,-57.027,-46.900,-4 +resnet18d.ra2_in1k,34.220,65.780,51.767,48.233,11.71,288,0.950,bicubic,-56.580,-46.393,+12 +regnety_006.pycls_in1k,34.153,65.847,51.253,48.747,6.06,224,0.875,bicubic,-57.407,-47.177,-16 +resnet18.a1_in1k,33.973,66.027,49.410,50.590,11.69,288,1.000,bicubic,-56.227,-48.350,+26 +tf_mobilenetv3_large_100.in1k,33.960,66.040,51.470,48.530,5.48,224,0.875,bilinear,-57.460,-46.790,-12 +regnetx_008.pycls_in1k,33.803,66.197,50.543,49.457,7.26,224,0.875,bicubic,-57.377,-47.827,-4 +mnasnet_100.rmsp_in1k,33.780,66.220,51.170,48.830,4.38,224,0.875,bicubic,-57.430,-47.050,-6 +lcnet_100.ra2_in1k,33.773,66.227,52.090,47.910,2.95,224,0.875,bicubic,-55.137,-45.290,+42 +semnasnet_075.rmsp_in1k,33.770,66.230,52.403,47.597,2.91,224,0.875,bicubic,-56.450,-45.547,+20 +ese_vovnet19b_dw.ra_in1k,33.753,66.247,50.930,49.070,6.54,288,0.950,bicubic,-59.007,-47.560,-84 +regnetx_004_tv.tv2_in1k,33.710,66.290,49.803,50.197,5.50,224,0.965,bicubic,-57.450,-48.307,-7 +vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k,33.630,66.370,50.687,49.313,6.36,384,1.000,bicubic,-58.100,-47.743,-33 +mobilevit_s.cvnets_in1k,33.627,66.373,49.297,50.703,5.58,256,0.900,bicubic,-59.523,-49.483,-136 +xcit_nano_12_p8_224.fb_in1k,33.580,66.420,50.220,49.780,3.05,224,1.000,bicubic,-57.520,-48.010,-6 +vit_tiny_patch16_384.augreg_in21k_ft_in1k,33.543,66.457,51.083,48.917,5.79,384,1.000,bicubic,-59.877,-47.727,-164 +semnasnet_100.rmsp_in1k,33.503,66.497,50.787,49.213,3.89,224,0.875,bicubic,-58.167,-47.503,-33 +spnasnet_100.rmsp_in1k,33.490,66.510,51.280,48.720,4.42,224,0.875,bilinear,-57.100,-46.670,+2 +mixnet_s.ft_in1k,33.473,66.527,50.997,49.003,4.13,224,0.875,bicubic,-58.297,-47.313,-40 +crossvit_tiny_240.in1k,33.353,66.647,49.897,50.103,7.01,240,0.875,bicubic,-57.177,-48.053,+4 +mobilevitv2_075.cvnets_in1k,33.340,66.660,50.110,49.890,2.87,256,0.888,bicubic,-58.630,-48.190,-47 +vgg19_bn.tv_in1k,33.240,66.760,50.777,49.223,143.68,224,0.875,bilinear,-57.750,-47.323,-8 +ghostnet_100.in1k,33.190,66.810,51.160,48.840,5.18,224,0.875,bilinear,-57.260,-46.660,+2 +regnetx_006.pycls_in1k,33.147,66.853,50.243,49.757,6.20,224,0.875,bicubic,-57.643,-47.847,-8 +edgenext_x_small.in1k,33.110,66.890,49.003,50.997,2.34,288,1.000,bicubic,-58.470,-49.187,-38 +seresnext26t_32x4d.bt_in1k,33.087,66.913,50.270,49.730,16.81,288,0.950,bicubic,-60.263,-48.390,-164 +resnet18.tv_in1k,33.057,66.943,51.173,48.827,11.69,224,0.875,bilinear,-55.093,-45.947,+29 +seresnext26d_32x4d.bt_in1k,32.970,67.030,49.830,50.170,16.81,288,0.950,bicubic,-60.090,-48.880,-143 +xcit_nano_12_p16_224.fb_in1k,32.953,67.047,49.977,50.023,3.05,224,1.000,bicubic,-56.017,-47.433,+21 +legacy_seresnext26_32x4d.in1k,32.770,67.230,49.237,50.763,16.79,224,0.875,bicubic,-59.830,-49.173,-90 +hrnet_w18_small.ms_in1k,32.653,67.347,50.590,49.410,13.19,224,0.875,bilinear,-57.217,-47.300,+2 +deit_tiny_patch16_224.fb_in1k,32.653,67.347,50.260,49.740,5.72,224,0.900,bicubic,-56.957,-47.700,+8 +legacy_seresnet18.in1k,32.600,67.400,50.317,49.683,11.78,224,0.875,bicubic,-56.660,-47.373,+11 +mobilenetv2_100.ra_in1k,32.523,67.477,50.803,49.197,3.50,224,0.875,bicubic,-57.327,-47.027,+2 +regnetx_004.pycls_in1k,32.513,67.487,49.340,50.660,5.16,224,0.875,bicubic,-56.947,-48.420,+6 +resnet26d.bt_in1k,32.420,67.580,49.997,50.003,16.01,288,0.950,bicubic,-60.130,-48.653,-91 +resnet18.gluon_in1k,32.413,67.587,49.740,50.260,11.69,224,0.875,bicubic,-56.247,-47.350,+15 +regnety_004.pycls_in1k,32.320,67.680,49.467,50.533,4.34,224,0.875,bicubic,-58.450,-48.603,-21 +resnet18.a2_in1k,32.223,67.777,47.887,52.113,11.69,288,1.000,bicubic,-57.257,-49.743,+1 +tf_mixnet_s.in1k,32.190,67.810,48.530,51.470,4.13,224,0.875,bicubic,-59.490,-49.710,-57 +resnet26.bt_in1k,32.173,67.827,49.443,50.557,16.00,288,0.950,bicubic,-59.947,-49.107,-71 +vit_tiny_patch16_224.augreg_in21k_ft_in1k,32.020,67.980,49.027,50.973,5.72,224,0.900,bicubic,-59.900,-49.313,-66 +tf_mobilenetv3_large_075.in1k,31.850,68.150,49.117,50.883,3.99,224,0.875,bilinear,-58.480,-48.753,-16 +tf_mobilenetv3_large_minimal_100.in1k,31.600,68.400,49.353,50.647,3.92,224,0.875,bilinear,-57.560,-47.957,+3 +vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k,30.790,69.210,47.663,52.337,6.34,224,0.900,bicubic,-58.550,-50.037,-2 +tinynet_c.in1k,30.513,69.487,48.480,51.520,2.46,184,0.875,bicubic,-57.887,-48.780,+7 +lcnet_075.ra2_in1k,30.373,69.627,48.770,51.230,2.36,224,0.875,bicubic,-56.587,-47.780,+17 +vgg16_bn.tv_in1k,30.357,69.643,47.280,52.720,138.37,224,0.875,bilinear,-60.183,-50.710,-25 +resnet18.a3_in1k,30.097,69.903,46.337,53.663,11.69,224,0.950,bicubic,-56.973,-50.323,+13 +edgenext_xx_small.in1k,29.750,70.250,46.487,53.513,1.33,288,1.000,bicubic,-60.050,-51.013,-13 +regnety_002.pycls_in1k,29.710,70.290,46.830,53.170,3.16,224,0.875,bicubic,-58.480,-50.610,+4 +mobilevit_xs.cvnets_in1k,29.590,70.410,46.047,53.953,2.32,256,0.900,bicubic,-61.620,-52.013,-51 +mobilenetv3_small_100.lamb_in1k,29.050,70.950,47.200,52.800,2.54,224,0.875,bicubic,-57.130,-49.250,+13 +mnasnet_small.lamb_in1k,28.953,71.047,47.287,52.713,2.03,224,0.875,bicubic,-56.527,-48.713,+14 +vgg13_bn.tv_in1k,28.863,71.137,46.730,53.270,133.05,224,0.875,bilinear,-60.337,-50.800,-9 +resnet10t.c3_in1k,28.853,71.147,46.903,53.097,5.44,224,0.950,bicubic,-57.827,-49.827,+9 +regnetx_002.pycls_in1k,28.840,71.160,45.450,54.550,2.68,224,0.875,bicubic,-58.520,-51.550,+2 +mobilenetv2_050.lamb_in1k,28.660,71.340,46.593,53.407,1.97,224,0.875,bicubic,-56.330,-49.027,+13 +vgg19.tv_in1k,28.580,71.420,45.167,54.833,143.67,224,0.875,bilinear,-61.100,-52.383,-21 +mobilevitv2_050.cvnets_in1k,28.567,71.433,45.193,54.807,1.37,256,0.888,bicubic,-60.463,-52.397,-12 +dla60x_c.in1k,28.443,71.557,46.210,53.790,1.32,224,0.875,bilinear,-58.687,-50.930,0 +vgg11_bn.tv_in1k,28.430,71.570,46.460,53.540,132.87,224,0.875,bilinear,-59.970,-50.790,-8 +tinynet_d.in1k,27.960,72.040,45.877,54.123,2.34,152,0.875,bicubic,-57.480,-50.143,+6 +vgg16.tv_in1k,27.877,72.123,44.680,55.320,138.36,224,0.875,bilinear,-61.493,-52.840,-22 +resnet14t.c3_in1k,27.557,72.443,44.697,55.303,10.08,224,0.950,bicubic,-61.693,-52.743,-20 +tf_mobilenetv3_small_100.in1k,27.280,72.720,44.407,55.593,2.54,224,0.875,bilinear,-58.660,-51.993,+1 +mixer_l16_224.goog_in21k_ft_in1k,26.860,73.140,37.913,62.087,208.20,224,0.875,bicubic,-60.130,-56.157,-4 +mobilenetv3_small_075.lamb_in1k,26.537,73.463,43.883,56.117,2.04,224,0.875,bicubic,-57.583,-51.637,+6 +vgg11.tv_in1k,26.537,73.463,43.470,56.530,132.86,224,0.875,bilinear,-60.813,-53.630,-9 +mobilevit_xxs.cvnets_in1k,26.340,73.660,43.050,56.950,1.27,256,0.900,bicubic,-61.590,-54.140,-13 +vgg13.tv_in1k,26.273,73.727,43.353,56.647,133.05,224,0.875,bilinear,-61.297,-53.757,-13 +dla46x_c.in1k,26.220,73.780,43.770,56.230,1.07,224,0.875,bilinear,-59.210,-52.660,-2 +lcnet_050.ra2_in1k,26.210,73.790,44.570,55.430,1.88,224,0.875,bicubic,-56.820,-50.430,+2 +tf_mobilenetv3_small_075.in1k,26.197,73.803,43.630,56.370,2.04,224,0.875,bilinear,-58.303,-52.250,-1 +dla46_c.in1k,25.513,74.487,43.783,56.217,1.30,224,0.875,bilinear,-59.187,-52.427,-3 +tf_mobilenetv3_small_minimal_100.in1k,25.103,74.897,42.940,57.060,2.04,224,0.875,bilinear,-57.567,-52.080,0 +tinynet_e.in1k,23.357,76.643,41.070,58.930,2.04,106,0.875,bicubic,-56.463,-52.900,0 +mobilenetv3_small_050.lamb_in1k,21.740,78.260,38.753,61.247,1.59,224,0.875,bicubic,-56.350,-54.257,0 diff --git a/results/results-imagenet-real.csv b/results/results-imagenet-real.csv index d6ce74eea6..5df3e13060 100644 --- a/results/results-imagenet-real.csv +++ b/results/results-imagenet-real.csv @@ -1,791 +1,1004 @@ model,top1,top1_err,top5,top5_err,param_count,img_size,crop_pct,interpolation,top1_diff,top5_diff,rank_diff -eva_giant_patch14_336.clip_ft_in1k,91.054,8.946,98.597,1.403,"1,013.01",336,1.000,bicubic,+1.578,-0.227,+2 -eva_giant_patch14_560.m30m_ft_in22k_in1k,90.973,9.027,98.678,1.322,"1,014.45",560,1.000,bicubic,+1.177,-0.314,-1 -eva_giant_patch14_224.clip_ft_in1k,90.954,9.046,98.723,1.277,"1,012.56",224,1.000,bicubic,+1.854,+0.007,+2 -eva_large_patch14_336.in22k_ft_in1k,90.905,9.095,98.785,1.215,304.53,336,1.000,bicubic,+2.241,+0.065,+2 -eva_giant_patch14_336.m30m_ft_in22k_in1k,90.903,9.098,98.663,1.337,"1,013.01",336,1.000,bicubic,+1.335,-0.289,-3 -eva_large_patch14_336.in22k_ft_in22k_in1k,90.871,9.130,98.721,1.279,304.53,336,1.000,bicubic,+1.667,-0.129,-2 -beit_large_patch16_512.in22k_ft_in22k_in1k,90.687,9.313,98.751,1.249,305.67,512,1.000,bicubic,+2.089,+0.095,0 -beit_large_patch16_384.in22k_ft_in22k_in1k,90.610,9.390,98.766,1.234,305.00,384,1.000,bicubic,+2.206,+0.158,+3 -volo_d5_512,90.608,9.392,98.698,1.302,296.09,512,1.150,bicubic,+3.564,+0.730,+32 -volo_d5_448,90.584,9.416,98.685,1.315,295.91,448,1.150,bicubic,+3.630,+0.747,+35 -eva_large_patch14_196.in22k_ft_in22k_in1k,90.567,9.433,98.698,1.302,304.14,196,1.000,bicubic,+1.981,+0.042,-3 -tf_efficientnet_l2.ns_jft_in1k,90.563,9.437,98.779,1.221,480.31,800,0.960,bicubic,+2.211,+0.129,+1 -maxvit_base_tf_512.in21k_ft_in1k,90.561,9.439,98.700,1.300,119.88,512,1.000,bicubic,+2.349,+0.168,+6 -vit_large_patch14_clip_336.openai_ft_in12k_in1k,90.552,9.448,98.683,1.317,304.53,336,1.000,bicubic,+2.286,+0.151,+1 -tf_efficientnet_l2.ns_jft_in1k_475,90.537,9.463,98.710,1.290,480.31,475,0.936,bicubic,+2.303,+0.164,+2 -eva_large_patch14_196.in22k_ft_in1k,90.533,9.467,98.779,1.221,304.14,196,1.000,bicubic,+2.595,+0.287,+7 -volo_d4_448,90.510,9.490,98.591,1.409,193.41,448,1.150,bicubic,+3.720,+0.709,+34 -maxvit_xlarge_tf_512.in21k_ft_in1k,90.503,9.497,98.580,1.420,475.77,512,1.000,bicubic,+1.965,-0.064,-8 -vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,90.501,9.499,98.640,1.360,632.46,336,1.000,bicubic,+1.927,-0.020,-10 -convnext_xlarge.fb_in22k_ft_in1k_384,90.495,9.505,98.766,1.234,350.20,384,1.000,bicubic,+2.747,+0.212,+8 -vit_large_patch14_clip_336.laion2b_ft_in12k_in1k,90.420,9.580,98.638,1.362,304.53,336,1.000,bicubic,+2.238,+0.066,-1 -vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k,90.414,9.586,98.648,1.351,632.05,224,1.000,bicubic,+2.168,+0.099,-6 -swinv2_base_window12to24_192to384_22kft1k,90.403,9.597,98.740,1.260,87.92,384,1.000,bicubic,+3.295,+0.504,+16 -maxvit_xlarge_tf_384.in21k_ft_in1k,90.379,9.621,98.587,1.413,475.32,384,1.000,bicubic,+2.073,+0.043,-10 -beit_base_patch16_384.in22k_ft_in22k_in1k,90.373,9.627,98.725,1.275,86.74,384,1.000,bicubic,+3.573,+0.587,+24 -maxvit_base_tf_384.in21k_ft_in1k,90.367,9.633,98.680,1.319,119.65,384,1.000,bicubic,+2.445,+0.138,-2 -vit_large_patch14_clip_224.openai_ft_in12k_in1k,90.367,9.633,98.657,1.343,304.20,224,1.000,bicubic,+2.199,+0.113,-6 -maxvit_large_tf_512.in21k_ft_in1k,90.360,9.640,98.642,1.358,212.33,512,1.000,bicubic,+2.142,+0.044,-10 -beitv2_large_patch16_224.in1k_ft_in22k_in1k,90.354,9.646,98.582,1.418,304.43,224,0.950,bicubic,+1.968,-0.016,-17 -vit_large_patch14_clip_336.laion2b_ft_in1k,90.341,9.659,98.593,1.407,304.53,336,1.000,bicubic,+2.493,+0.223,-3 -maxvit_large_tf_384.in21k_ft_in1k,90.317,9.682,98.685,1.315,212.03,384,1.000,bicubic,+2.325,+0.119,-9 -vit_large_patch14_clip_224.openai_ft_in1k,90.305,9.695,98.636,1.364,304.20,224,1.000,bicubic,+2.453,+0.208,-6 -vit_large_patch14_clip_224.laion2b_ft_in12k_in1k,90.302,9.697,98.661,1.339,304.20,224,1.000,bicubic,+2.412,+0.251,-8 -convnext_large.fb_in22k_ft_in1k_384,90.279,9.721,98.655,1.345,197.77,384,1.000,bicubic,+2.807,+0.269,-2 -convnext_base.fb_in22k_ft_in1k_384,90.277,9.723,98.800,1.200,88.59,384,1.000,bicubic,+3.483,+0.536,+15 -deit3_large_patch16_384_in21ft1k,90.249,9.751,98.625,1.375,304.76,384,1.000,bicubic,+2.533,+0.113,-7 -vit_base_patch16_clip_384.laion2b_ft_in1k,90.219,9.781,98.704,1.296,86.86,384,1.000,bicubic,+3.599,+0.694,+17 -deit3_huge_patch14_224_in21ft1k,90.215,9.785,98.638,1.362,632.13,224,1.000,bicubic,+3.031,+0.378,-1 -vit_base_patch16_clip_384.openai_ft_in12k_in1k,90.211,9.789,98.653,1.347,86.86,384,0.950,bicubic,+3.177,+0.473,+3 -tf_efficientnetv2_l.in21k_ft_in1k,90.207,9.793,98.717,1.283,118.52,480,1.000,bicubic,+3.401,+0.583,+8 -vit_large_patch16_384.augreg_in21k_ft_in1k,90.196,9.804,98.661,1.339,304.72,384,1.000,bicubic,+3.116,+0.361,-2 -cait_m48_448,90.196,9.804,98.484,1.516,356.46,448,1.000,bicubic,+3.712,+0.730,+17 -vit_base_patch16_clip_384.laion2b_ft_in12k_in1k,90.187,9.813,98.585,1.415,86.86,384,1.000,bicubic,+2.969,+0.550,-7 -vit_huge_patch14_clip_224.laion2b_ft_in1k,90.172,9.828,98.542,1.458,632.05,224,1.000,bicubic,+2.578,+0.322,-14 -volo_d3_448,90.168,9.832,98.550,1.450,86.63,448,1.000,bicubic,+3.674,+0.840,+12 -swinv2_large_window12to24_192to384_22kft1k,90.157,9.843,98.608,1.392,196.74,384,1.000,bicubic,+2.699,+0.356,-13 -beit_large_patch16_224.in22k_ft_in22k_in1k,90.151,9.849,98.723,1.277,304.43,224,0.900,bicubic,+2.675,+0.419,-16 -vit_large_patch14_clip_224.laion2b_ft_in1k,90.106,9.894,98.561,1.439,304.20,224,1.000,bicubic,+2.814,+0.315,-13 -tf_efficientnet_b7.ns_jft_in1k,90.100,9.900,98.614,1.386,66.35,600,0.949,bicubic,+3.260,+0.520,-2 -convnext_xlarge.fb_in22k_ft_in1k,90.066,9.934,98.619,1.381,350.20,288,1.000,bicubic,+2.728,+0.291,-16 -dm_nfnet_f6,90.046,9.954,98.546,1.454,438.36,576,0.956,bicubic,+3.902,+0.816,+19 -cait_m36_384,90.046,9.954,98.493,1.507,271.22,384,1.000,bicubic,+3.992,+0.763,+24 -swin_large_patch4_window12_384,90.027,9.973,98.657,1.343,196.74,384,1.000,bicubic,+2.879,+0.423,-15 -tf_efficientnetv2_m.in21k_ft_in1k,90.023,9.977,98.663,1.337,54.14,480,1.000,bicubic,+4.019,+0.721,+24 -deit3_large_patch16_224_in21ft1k,89.999,10.001,98.661,1.339,304.37,224,1.000,bicubic,+3.021,+0.423,-11 -swin_base_patch4_window12_384,89.995,10.005,98.695,1.304,87.90,384,1.000,bicubic,+3.563,+0.637,+5 -vit_base_patch16_384.augreg_in21k_ft_in1k,89.989,10.011,98.678,1.322,86.86,384,1.000,bicubic,+3.983,+0.678,+20 -maxvit_base_tf_512.in1k,89.980,10.020,98.435,1.565,119.88,512,1.000,bicubic,+3.382,+0.515,-3 -swinv2_large_window12to16_192to256_22kft1k,89.920,10.080,98.508,1.492,196.74,256,0.900,bicubic,+2.984,+0.400,-13 -convnext_small.fb_in22k_ft_in1k_384,89.916,10.084,98.680,1.319,50.22,384,1.000,bicubic,+4.138,+0.788,+29 -efficientnet_b5.in12k_ft_in1k,89.903,10.097,98.570,1.431,30.39,448,1.000,bicubic,+4.015,+0.838,+20 -xcit_large_24_p8_384_dist,89.886,10.114,98.384,1.616,188.93,384,1.000,bicubic,+3.886,+0.698,+17 -deit3_base_patch16_384_in21ft1k,89.884,10.116,98.602,1.399,86.88,384,1.000,bicubic,+3.140,+0.490,-10 -volo_d5_224,89.882,10.118,98.493,1.507,295.46,224,0.960,bicubic,+3.814,+0.915,+10 -swinv2_base_window12to16_192to256_22kft1k,89.876,10.124,98.657,1.343,87.92,256,0.900,bicubic,+3.602,+0.761,0 -convnext_large.fb_in22k_ft_in1k,89.871,10.129,98.597,1.403,197.77,288,1.000,bicubic,+2.855,+0.391,-23 -convnext_base.fb_in22k_ft_in1k,89.856,10.144,98.689,1.311,88.59,288,1.000,bicubic,+3.576,+0.599,-3 -cait_s36_384,89.844,10.156,98.427,1.573,68.37,384,1.000,bicubic,+4.384,+0.947,+34 -xcit_medium_24_p8_384_dist,89.811,10.188,98.362,1.638,84.32,384,1.000,bicubic,+3.995,+0.770,+15 -volo_d4_224,89.809,10.191,98.424,1.576,192.96,224,0.960,bicubic,+3.937,+0.956,+12 -swin_large_patch4_window7_224,89.796,10.204,98.640,1.360,196.53,224,0.900,bicubic,+3.477,+0.744,-9 -vit_large_r50_s32_384.augreg_in21k_ft_in1k,89.794,10.206,98.514,1.486,329.09,384,1.000,bicubic,+3.610,+0.596,-4 -maxvit_large_tf_512.in1k,89.794,10.206,98.328,1.672,212.33,512,1.000,bicubic,+3.276,+0.444,-16 -volo_d2_384,89.784,10.216,98.399,1.601,58.87,384,1.000,bicubic,+3.748,+0.827,+2 -tf_efficientnet_b6.ns_jft_in1k,89.782,10.218,98.510,1.490,43.04,528,0.942,bicubic,+3.330,+0.628,-15 -tf_efficientnetv2_xl.in21k_ft_in1k,89.773,10.227,98.294,1.706,208.12,512,1.000,bicubic,+3.025,+0.276,-24 -beitv2_base_patch16_224.in1k_ft_in22k_in1k,89.747,10.253,98.580,1.420,86.53,224,0.900,bicubic,+3.267,+0.532,-18 -xcit_small_24_p8_384_dist,89.739,10.261,98.422,1.578,47.63,384,1.000,bicubic,+4.183,+0.850,+18 -vit_base_patch8_224.augreg2_in21k_ft_in1k,89.728,10.272,98.510,1.490,86.58,224,0.900,bicubic,+3.516,+0.678,-12 -vit_base_patch16_clip_384.openai_ft_in1k,89.709,10.291,98.510,1.490,86.86,384,1.000,bicubic,+3.503,+0.636,-12 -volo_d1_384,89.698,10.302,98.292,1.708,26.78,384,1.000,bicubic,+4.448,+1.096,+34 -deit3_large_patch16_384,89.679,10.321,98.392,1.608,304.76,384,1.000,bicubic,+3.869,+0.796,+4 -xcit_large_24_p16_384_dist,89.662,10.338,98.401,1.599,189.10,384,1.000,bicubic,+3.908,+0.863,+7 -tf_efficientnet_b5.ns_jft_in1k,89.651,10.349,98.482,1.518,30.39,456,0.934,bicubic,+3.563,+0.730,-11 -tf_efficientnet_b8.ap_in1k,89.581,10.419,98.305,1.695,87.41,672,0.954,bicubic,+4.211,+0.915,+25 -maxvit_base_tf_384.in1k,89.579,10.421,98.324,1.676,119.65,384,1.000,bicubic,+3.285,+0.520,-23 -maxvit_tiny_tf_512.in1k,89.564,10.436,98.335,1.665,31.05,512,1.000,bicubic,+3.902,+0.755,+7 -vit_base_patch16_clip_224.laion2b_ft_in12k_in1k,89.559,10.441,98.414,1.586,86.57,224,0.950,bicubic,+3.389,+0.660,-18 -dm_nfnet_f4,89.557,10.443,98.303,1.697,316.07,512,0.951,bicubic,+3.843,+0.783,+3 -volo_d3_224,89.555,10.445,98.375,1.625,86.33,224,0.960,bicubic,+4.147,+1.095,+15 -maxvit_large_tf_384.in1k,89.555,10.445,98.187,1.813,212.03,384,1.000,bicubic,+3.319,+0.497,-24 -tf_efficientnetv2_l.in1k,89.549,10.451,98.339,1.661,118.52,480,1.000,bicubic,+3.879,+0.865,+1 -flexivit_large.1200ep_in1k,89.540,10.460,98.418,1.582,304.36,240,0.950,bicubic,+3.896,+0.876,+2 -xcit_small_12_p8_384_dist,89.517,10.483,98.305,1.695,26.21,384,1.000,bicubic,+4.429,+1.023,+33 -xcit_large_24_p8_224_dist,89.517,10.483,98.224,1.776,188.93,224,1.000,bicubic,+4.121,+0.814,+13 -flexivit_large.600ep_in1k,89.510,10.490,98.394,1.606,304.36,240,0.950,bicubic,+3.972,+0.902,+1 -cait_s24_384,89.502,10.498,98.362,1.638,47.06,384,1.000,bicubic,+4.456,+1.016,+35 -dm_nfnet_f3,89.485,10.515,98.399,1.601,254.92,416,0.940,bicubic,+3.963,+0.937,+2 -xcit_medium_24_p16_384_dist,89.468,10.532,98.296,1.704,84.40,384,1.000,bicubic,+4.056,+0.890,+6 -dm_nfnet_f5,89.461,10.539,98.324,1.676,377.21,544,0.954,bicubic,+3.647,+0.836,-15 -deit3_base_patch16_224_in21ft1k,89.457,10.543,98.557,1.443,86.59,224,1.000,bicubic,+3.743,+0.813,-10 -maxvit_small_tf_512.in1k,89.451,10.549,98.350,1.650,69.13,512,1.000,bicubic,+3.363,+0.592,-30 -vit_base_patch32_clip_448.laion2b_ft_in12k_in1k,89.448,10.552,98.401,1.599,88.34,448,1.000,bicubic,+3.664,+0.767,-15 -vit_base_patch16_224.augreg2_in21k_ft_in1k,89.446,10.554,98.439,1.561,86.57,224,0.900,bicubic,+4.340,+1.059,+20 -deit_base_distilled_patch16_384,89.429,10.571,98.441,1.559,87.63,384,1.000,bicubic,+4.007,+1.109,-1 -tf_efficientnet_b7.ap_in1k,89.429,10.571,98.347,1.653,66.35,600,0.949,bicubic,+4.309,+1.096,+17 -vit_base_patch8_224.augreg_in21k_ft_in1k,89.427,10.573,98.486,1.514,86.58,224,0.900,bicubic,+3.631,+0.696,-20 -vit_base_patch16_clip_224.laion2b_ft_in1k,89.427,10.573,98.473,1.527,86.57,224,1.000,bicubic,+3.959,+0.897,-7 -vit_base_patch16_clip_224.openai_ft_in12k_in1k,89.410,10.590,98.401,1.599,86.57,224,0.950,bicubic,+3.480,+0.677,-29 -beit_base_patch16_224.in22k_ft_in22k_in1k,89.401,10.598,98.525,1.475,86.53,224,0.900,bicubic,+4.165,+0.869,+7 -regnetz_e8,89.382,10.618,98.459,1.542,57.70,320,1.000,bicubic,+4.352,+1.195,+22 -deit3_small_patch16_384_in21ft1k,89.367,10.633,98.384,1.616,22.21,384,1.000,bicubic,+4.543,+0.898,+32 -tf_efficientnetv2_m.in1k,89.355,10.645,98.330,1.670,54.14,480,1.000,bicubic,+4.147,+0.962,+5 -tf_efficientnet_b8.ra_in1k,89.355,10.645,98.303,1.697,87.41,672,0.954,bicubic,+3.985,+1.009,-4 -vit_medium_patch16_gap_384.in12k_ft_in1k,89.342,10.658,98.493,1.507,39.03,384,0.950,bicubic,+3.806,+0.859,-18 -tf_efficientnet_b6.ap_in1k,89.342,10.658,98.281,1.719,43.04,528,0.942,bicubic,+4.554,+1.143,+31 -volo_d2_224,89.327,10.673,98.209,1.791,58.68,224,0.960,bicubic,+4.131,+1.021,+4 -vit_large_patch16_224.augreg_in21k_ft_in1k,89.314,10.686,98.392,1.608,304.33,224,0.900,bicubic,+3.472,+0.568,-35 -convnext_small.fb_in22k_ft_in1k,89.305,10.694,98.360,1.640,50.22,288,1.000,bicubic,+4.043,+0.676,-6 -tf_efficientnet_b4.ns_jft_in1k,89.305,10.694,98.347,1.653,19.34,380,0.922,bicubic,+4.143,+0.877,+2 -flexivit_large.300ep_in1k,89.303,10.697,98.324,1.676,304.36,240,0.950,bicubic,+4.023,+0.884,-9 -xcit_small_24_p16_384_dist,89.299,10.701,98.330,1.670,47.67,384,1.000,bicubic,+4.201,+1.020,+4 -xcit_medium_24_p8_224_dist,89.293,10.707,98.187,1.813,84.32,224,1.000,bicubic,+4.221,+0.933,+6 -deit3_huge_patch14_224,89.214,10.786,98.166,1.834,632.13,224,0.900,bicubic,+4.010,+0.808,-4 -vit_base_patch32_clip_384.laion2b_ft_in12k_in1k,89.201,10.799,98.356,1.644,88.30,384,1.000,bicubic,+3.829,+0.692,-17 -xcit_small_24_p8_224_dist,89.201,10.799,98.243,1.757,47.63,224,1.000,bicubic,+4.325,+1.055,+15 -xcit_small_12_p16_384_dist,89.197,10.803,98.219,1.781,26.25,384,1.000,bicubic,+4.491,+1.101,+22 -vit_base_patch16_clip_224.openai_ft_in1k,89.154,10.846,98.273,1.727,86.57,224,0.900,bicubic,+3.874,+0.867,-17 -swin_base_patch4_window7_224,89.145,10.855,98.429,1.571,87.77,224,0.900,bicubic,+3.893,+0.867,-15 -eca_nfnet_l2,89.141,10.859,98.315,1.685,56.72,384,1.000,bicubic,+4.443,+1.051,+20 -cait_xs24_384,89.139,10.861,98.290,1.710,26.67,384,1.000,bicubic,+5.077,+1.402,+65 -maxvit_tiny_tf_384.in1k,89.120,10.880,98.211,1.789,30.98,384,1.000,bicubic,+4.014,+0.677,-8 -ig_resnext101_32x48d,89.120,10.880,98.130,1.870,828.41,224,0.875,bilinear,+3.692,+0.558,-29 -ig_resnext101_32x32d,89.111,10.889,98.181,1.819,468.53,224,0.875,bilinear,+4.017,+0.743,-7 -maxvit_small_tf_384.in1k,89.103,10.897,98.164,1.836,69.02,384,1.000,bicubic,+3.569,+0.700,-36 -tf_efficientnet_b7.ra_in1k,89.086,10.914,98.183,1.817,66.35,600,0.949,bicubic,+4.150,+0.979,+1 -ecaresnet269d,89.069,10.931,98.234,1.766,102.09,352,1.000,bicubic,+4.093,+1.008,-2 -vit_base_patch32_clip_384.openai_ft_in12k_in1k,89.051,10.949,98.285,1.714,88.30,384,0.950,bicubic,+3.839,+0.883,-20 -xcit_large_24_p16_224_dist,89.041,10.959,98.064,1.937,189.10,224,1.000,bicubic,+4.123,+0.931,0 -resmlp_big_24_224_in22ft1k,89.011,10.989,98.215,1.785,129.14,224,0.875,bicubic,+4.617,+1.333,+33 -dm_nfnet_f2,89.009,10.991,98.189,1.810,193.78,352,0.920,bicubic,+3.945,+0.950,-10 -xcit_small_12_p8_224_dist,89.002,10.998,98.078,1.922,26.21,224,1.000,bicubic,+4.770,+1.300,+43 -efficientnetv2_rw_m.agc_in1k,88.987,11.013,98.213,1.787,53.24,416,1.000,bicubic,+4.179,+1.065,+2 -convnext_large.fb_in1k,88.985,11.015,98.040,1.960,197.77,288,1.000,bicubic,+4.139,+0.828,-1 -regnetz_040h,88.951,11.049,98.202,1.798,28.94,320,1.000,bicubic,+4.457,+1.196,+17 -mvitv2_large,88.945,11.055,97.967,2.033,217.99,224,0.900,bicubic,+3.695,+0.753,-30 -tf_efficientnet_b5.ap_in1k,88.938,11.062,98.164,1.836,30.39,456,0.934,bicubic,+4.686,+1.190,+36 -dm_nfnet_f1,88.925,11.075,98.115,1.885,132.63,320,0.910,bicubic,+4.299,+1.015,+5 -deit3_medium_patch16_224_in21ft1k,88.921,11.079,98.300,1.700,38.85,224,1.000,bicubic,+4.361,+1.112,+7 -deit3_base_patch16_384,88.921,11.079,98.046,1.954,86.88,384,1.000,bicubic,+3.849,+0.768,-19 -volo_d1_224,88.908,11.092,98.031,1.968,26.63,224,0.960,bicubic,+4.744,+1.255,+41 -tf_efficientnetv2_s.in21k_ft_in1k,88.904,11.096,98.277,1.723,21.46,384,1.000,bicubic,+4.602,+1.025,+26 -vit_base_patch16_224.augreg_in21k_ft_in1k,88.866,11.134,98.230,1.770,86.57,224,0.900,bicubic,+4.334,+0.936,+5 -regnetz_d8,88.855,11.145,98.189,1.810,23.37,320,1.000,bicubic,+4.805,+1.191,+43 -convnext_tiny.fb_in22k_ft_in1k_384,88.846,11.154,98.298,1.702,28.59,384,1.000,bicubic,+4.766,+1.156,+40 -regnetz_d8_evos,88.842,11.158,98.132,1.868,23.46,320,0.950,bicubic,+4.792,+1.138,+42 -resnetrs420,88.840,11.160,98.034,1.966,191.89,416,1.000,bicubic,+3.832,+0.910,-23 -resnetrs270,88.834,11.166,98.136,1.864,129.86,352,1.000,bicubic,+4.400,+1.166,+10 -ig_resnext101_32x16d,88.834,11.166,98.049,1.951,194.03,224,0.875,bilinear,+4.664,+0.853,+33 -vit_small_r26_s32_384.augreg_in21k_ft_in1k,88.819,11.181,98.337,1.663,36.47,384,1.000,bicubic,+4.773,+1.009,+40 -vit_base_r50_s16_384.orig_in21k_ft_in1k,88.808,11.192,98.232,1.768,98.95,384,1.000,bicubic,+3.836,+0.944,-25 -xcit_medium_24_p16_224_dist,88.797,11.203,98.036,1.964,84.40,224,1.000,bicubic,+4.523,+1.096,+18 -seresnet152d,88.795,11.205,98.172,1.828,66.84,320,1.000,bicubic,+4.433,+1.132,+14 -maxxvit_rmlp_small_rw_256,88.791,11.209,98.061,1.939,66.01,256,0.950,bicubic,+4.163,+0.999,-12 -xcit_tiny_24_p8_384_dist,88.774,11.226,98.160,1.840,12.11,384,1.000,bicubic,+5.034,+1.526,+58 -swsl_resnext101_32x8d,88.770,11.230,98.147,1.853,88.79,224,0.875,bilinear,+4.486,+0.971,+13 -resnetrs200,88.763,11.237,98.113,1.887,93.21,320,1.000,bicubic,+4.315,+1.269,-3 -tf_efficientnet_b6.aa_in1k,88.761,11.239,98.064,1.937,43.04,528,0.942,bicubic,+4.651,+1.178,+25 -convnext_base.fb_in1k,88.761,11.239,97.931,2.069,88.59,288,1.000,bicubic,+4.327,+1.111,0 -resnetrs350,88.759,11.241,98.029,1.971,163.96,384,1.000,bicubic,+4.039,+1.041,-22 -deit3_large_patch16_224,88.755,11.245,97.914,2.086,304.37,224,0.900,bicubic,+3.991,+0.876,-24 -edgenext_base,88.744,11.256,98.145,1.855,18.51,320,1.000,bicubic,+4.784,+1.377,+33 -vit_base_patch16_224_miil.in21k_ft_in1k,88.737,11.262,98.027,1.973,86.54,224,0.875,bilinear,+4.469,+1.225,+8 -regnetz_040,88.731,11.269,98.091,1.909,27.12,320,1.000,bicubic,+4.495,+1.159,+10 -resnetv2_152x2_bitm,88.725,11.275,98.307,1.693,236.34,448,1.000,bilinear,+4.215,+0.875,-14 -regnety_160,88.697,11.303,98.068,1.932,83.59,288,1.000,bicubic,+5.011,+1.292,+55 -pit_b_distilled_224,88.676,11.324,98.093,1.907,74.79,224,0.900,bicubic,+4.532,+1.237,+16 -vit_small_patch16_384.augreg_in21k_ft_in1k,88.652,11.348,98.232,1.768,22.20,384,1.000,bicubic,+4.850,+1.130,+41 -regnetz_d32,88.650,11.350,98.081,1.919,27.58,320,0.950,bicubic,+4.628,+1.215,+22 -flexivit_base.1200ep_in1k,88.646,11.354,97.935,2.065,86.59,240,0.950,bicubic,+3.982,+0.943,-29 -regnety_080,88.635,11.365,97.970,2.030,39.18,288,1.000,bicubic,+4.703,+1.082,+25 -vit_medium_patch16_gap_256.in12k_ft_in1k,88.631,11.369,98.189,1.810,38.86,256,0.950,bicubic,+4.201,+0.977,-11 -eca_nfnet_l1,88.624,11.376,98.132,1.868,41.41,320,1.000,bicubic,+4.614,+1.104,+20 -mvitv2_base,88.620,11.380,97.820,2.180,51.47,224,0.900,bicubic,+4.198,+0.956,-12 -maxvit_base_tf_224.in1k,88.586,11.414,97.848,2.152,119.47,224,0.950,bicubic,+3.726,+0.858,-43 -swinv2_base_window16_256,88.584,11.416,97.893,2.107,87.92,256,0.900,bicubic,+3.990,+0.819,-31 -flexivit_base.600ep_in1k,88.550,11.450,97.935,2.065,86.59,240,0.950,bicubic,+4.032,+0.949,-27 -resnetv2_152x4_bitm,88.545,11.455,98.189,1.810,936.53,480,1.000,bilinear,+3.629,+0.749,-48 -seresnextaa101d_32x8d,88.545,11.455,98.002,1.998,93.59,288,1.000,bicubic,+3.977,+0.932,-33 -resnet200d,88.543,11.457,97.959,2.041,64.69,320,1.000,bicubic,+4.581,+1.135,+14 -xcit_small_24_p16_224_dist,88.530,11.470,97.999,2.001,47.67,224,1.000,bicubic,+4.668,+1.271,+20 -resnest269e,88.522,11.478,98.027,1.973,110.93,416,0.928,bicubic,+4.004,+1.091,-33 -maxvit_rmlp_small_rw_224,88.520,11.480,97.775,2.225,64.90,224,0.900,bicubic,+4.036,+1.013,-30 -swinv2_base_window8_256,88.513,11.487,97.893,2.107,87.92,256,0.900,bicubic,+4.251,+0.971,-12 -coatnet_rmlp_2_rw_224,88.509,11.491,97.572,2.428,73.88,224,0.950,bicubic,+3.909,+0.836,-41 -seresnext101_32x8d,88.501,11.499,97.888,2.112,93.57,288,1.000,bicubic,+4.309,+1.014,-6 -gcvit_base,88.498,11.502,97.775,2.225,90.32,224,0.875,bicubic,+4.050,+0.693,-32 -crossvit_18_dagger_408,88.477,11.523,97.893,2.107,44.61,408,1.000,bicubic,+4.281,+1.075,-9 -efficientnetv2_rw_s.ra2_in1k,88.473,11.527,97.974,2.026,23.94,384,1.000,bicubic,+4.665,+1.250,+19 -flexivit_base.300ep_in1k,88.471,11.529,97.841,2.159,86.59,240,0.950,bicubic,+4.077,+0.721,-26 -resnetv2_101x3_bitm,88.464,11.536,98.157,1.843,387.93,448,1.000,bilinear,+4.024,+0.775,-35 -maxvit_small_tf_224.in1k,88.458,11.542,97.880,2.120,68.93,224,0.950,bicubic,+4.024,+0.716,-32 -maxvit_large_tf_224.in1k,88.456,11.544,97.805,2.195,211.79,224,0.950,bicubic,+3.530,+0.833,-65 -cait_s24_224,88.447,11.553,97.957,2.043,46.92,224,1.000,bicubic,+4.995,+1.393,+36 -resnetv2_50x3_bitm,88.443,11.557,98.200,1.800,217.32,448,1.000,bilinear,+4.429,+1.076,-4 -resmlp_big_24_distilled_224,88.443,11.557,97.940,2.060,129.14,224,0.875,bicubic,+4.855,+1.292,+30 -regnetv_064,88.432,11.568,98.061,1.939,30.58,288,1.000,bicubic,+4.720,+1.313,+21 -resnest200e,88.432,11.568,98.042,1.958,70.20,320,0.909,bicubic,+4.600,+1.148,+8 -seresnext101d_32x8d,88.428,11.572,97.957,2.043,93.59,288,1.000,bicubic,+4.058,+1.041,-33 -vit_large_r50_s32_224.augreg_in21k_ft_in1k,88.426,11.574,98.085,1.915,328.99,224,0.900,bicubic,+3.992,+1.113,-44 -tf_efficientnet_b3.ns_jft_in1k,88.426,11.574,98.029,1.971,12.23,300,0.904,bicubic,+4.378,+1.119,-11 -convnext_small.fb_in1k,88.413,11.587,98.008,1.992,50.22,288,1.000,bicubic,+4.707,+1.198,+18 -tf_efficientnetv2_s.in1k,88.402,11.598,97.927,2.073,21.46,384,1.000,bicubic,+4.508,+1.229,-4 -vit_base_patch16_384.orig_in21k_ft_in1k,88.389,11.611,98.155,1.845,86.86,384,1.000,bicubic,+4.180,+0.937,-27 -tresnet_v2_l,88.381,11.619,97.925,2.075,46.17,224,0.875,bilinear,+4.479,+1.433,-7 -regnetz_c16_evos,88.377,11.623,98.040,1.960,13.49,320,0.950,bicubic,+5.747,+1.566,+83 -efficientnet_b4.ra2_in1k,88.372,11.628,97.961,2.039,19.34,384,1.000,bicubic,+4.944,+1.365,+24 -resnet152d,88.355,11.645,97.935,2.065,60.21,320,1.000,bicubic,+4.675,+1.197,+14 -swinv2_small_window16_256,88.355,11.645,97.848,2.152,49.73,256,0.900,bicubic,+4.149,+0.978,-31 -tf_efficientnet_b4.ap_in1k,88.349,11.651,97.893,2.107,19.34,380,0.922,bicubic,+5.101,+1.501,+36 -maxvit_rmlp_tiny_rw_256,88.345,11.655,97.824,2.176,29.15,256,0.950,bicubic,+4.113,+0.948,-35 -deit3_small_patch16_224_in21ft1k,88.328,11.672,98.130,1.870,22.06,224,1.000,bicubic,+5.258,+1.350,+49 -tf_efficientnet_b5.ra_in1k,88.321,11.679,97.912,2.088,30.39,456,0.934,bicubic,+4.509,+1.164,-6 -regnety_064,88.317,11.683,97.859,2.142,30.58,288,1.000,bicubic,+4.601,+1.184,+2 -crossvit_15_dagger_408,88.308,11.692,97.871,2.129,28.50,408,1.000,bicubic,+4.470,+1.089,-11 -deit3_small_patch16_384,88.300,11.700,97.888,2.112,22.21,384,1.000,bicubic,+4.874,+1.212,+16 -cs3se_edgenet_x,88.291,11.709,97.935,2.065,50.72,320,1.000,bicubic,+4.743,+1.265,+10 -pvt_v2_b4,88.285,11.715,97.814,2.186,62.56,224,0.900,bicubic,+4.569,+1.094,-1 -efficientformer_l7,88.278,11.722,97.882,2.118,82.23,224,0.950,bicubic,+4.892,+1.342,+20 -mvitv2_small,88.261,11.739,97.688,2.312,34.87,224,0.900,bicubic,+4.493,+1.118,-8 -xcit_small_12_p16_224_dist,88.251,11.749,97.844,2.156,26.25,224,1.000,bicubic,+4.901,+1.430,+20 -resnetrs152,88.251,11.749,97.737,2.263,86.62,320,1.000,bicubic,+4.539,+1.123,-2 -deit3_base_patch16_224,88.249,11.751,97.809,2.191,86.59,224,0.900,bicubic,+4.457,+1.225,-13 -gcvit_small,88.219,11.781,97.786,2.214,51.09,224,0.875,bicubic,+4.335,+1.128,-24 -regnetv_040,88.214,11.786,97.972,2.028,20.64,288,1.000,bicubic,+5.020,+1.312,+23 -deit_base_distilled_patch16_224,88.214,11.786,97.914,2.086,87.34,224,0.900,bicubic,+4.826,+1.426,+12 -xception65p,88.180,11.820,97.790,2.210,39.82,299,0.940,bicubic,+5.050,+1.310,+27 -swinv2_small_window8_256,88.180,11.820,97.775,2.225,49.73,256,0.900,bicubic,+4.324,+1.135,-25 -xcit_tiny_24_p16_384_dist,88.161,11.839,97.946,2.054,12.12,384,1.000,bicubic,+5.591,+1.660,+68 -xcit_large_24_p8_224,88.157,11.843,97.387,2.613,188.93,224,1.000,bicubic,+3.765,+0.731,-65 -resnetv2_152x2_bit_teacher_384,88.150,11.850,98.051,1.949,236.34,384,1.000,bicubic,+4.306,+0.933,-28 -ig_resnext101_32x8d,88.146,11.854,97.856,2.144,88.79,224,0.875,bilinear,+5.458,+1.220,+53 -cait_xxs36_384,88.140,11.860,97.908,2.092,17.37,384,1.000,bicubic,+5.946,+1.760,+103 -dm_nfnet_f0,88.125,11.875,97.854,2.146,71.49,256,0.900,bicubic,+4.739,+1.282,+4 -pvt_v2_b3,88.112,11.888,97.779,2.220,45.24,224,0.900,bicubic,+4.986,+1.224,+21 -pvt_v2_b5,88.108,11.892,97.701,2.300,81.96,224,0.900,bicubic,+4.368,+0.989,-22 -xcit_tiny_12_p8_384_dist,88.103,11.897,97.918,2.082,6.71,384,1.000,bicubic,+5.715,+1.694,+77 -swsl_resnext101_32x4d,88.099,11.901,97.967,2.033,44.18,224,0.875,bilinear,+4.869,+1.207,+9 -xception65,88.076,11.924,97.752,2.248,39.92,299,0.940,bicubic,+4.896,+1.160,+11 -swin_s3_base_224,88.048,11.952,97.656,2.344,71.13,224,0.900,bicubic,+4.118,+0.994,-43 -xcit_tiny_24_p8_224_dist,88.041,11.959,97.814,2.186,12.11,224,1.000,bicubic,+5.480,+1.748,+57 -maxvit_tiny_tf_224.in1k,88.020,11.980,97.814,2.186,30.92,224,0.950,bicubic,+4.622,+1.226,-7 -gcvit_tiny,88.003,11.997,97.728,2.272,28.22,224,0.875,bicubic,+4.603,+1.330,-9 -cs3sedarknet_x,87.984,12.016,97.799,2.201,35.40,288,1.000,bicubic,+5.330,+1.445,+43 -eca_nfnet_l0,87.980,12.020,97.871,2.129,24.14,288,1.000,bicubic,+5.400,+1.381,+50 -efficientformer_l3,87.971,12.029,97.709,2.291,31.41,224,0.950,bicubic,+5.421,+1.461,+54 -nfnet_l0,87.967,12.033,97.867,2.133,35.07,288,1.000,bicubic,+5.217,+1.351,+33 -xcit_small_24_p8_224,87.965,12.035,97.581,2.419,47.63,224,1.000,bicubic,+4.127,+0.945,-43 -tf_efficientnet_b4.aa_in1k,87.963,12.037,97.739,2.261,19.34,380,0.922,bicubic,+4.941,+1.439,+17 -coatnet_1_rw_224,87.948,12.052,97.455,2.545,41.72,224,0.950,bicubic,+4.340,+1.067,-26 -resnet101d,87.941,12.059,97.908,2.092,44.57,320,1.000,bicubic,+4.919,+1.462,+14 -regnety_032,87.937,12.063,97.891,2.109,19.44,288,1.000,bicubic,+5.213,+1.467,+29 -mobilevitv2_200_384_in22ft1k,87.926,12.074,97.820,2.180,18.45,384,1.000,bicubic,+4.532,+1.240,-17 -swinv2_cr_small_ns_224,87.920,12.080,97.668,2.332,49.70,224,0.900,bicubic,+4.432,+1.182,-25 -regnety_040,87.915,12.085,97.884,2.116,20.65,288,1.000,bicubic,+4.877,+1.374,+8 -sequencer2d_l,87.915,12.085,97.696,2.304,54.30,224,0.875,bicubic,+4.509,+1.190,-23 -vit_base_patch32_384.augreg_in21k_ft_in1k,87.909,12.091,98.012,1.988,88.30,384,1.000,bicubic,+4.559,+1.176,-16 -twins_svt_large,87.901,12.099,97.581,2.419,99.27,224,0.900,bicubic,+4.223,+0.987,-35 -coatnet_rmlp_1_rw_224,87.892,12.108,97.628,2.372,41.69,224,0.950,bicubic,+4.534,+1.172,-19 -twins_pcpvt_large,87.877,12.123,97.856,2.144,60.99,224,0.900,bicubic,+4.737,+1.258,-7 -regnetz_c16,87.860,12.140,97.818,2.182,13.46,320,0.940,bicubic,+5.342,+1.746,+42 -swin_s3_small_224,87.854,12.146,97.431,2.568,49.74,224,0.900,bicubic,+4.084,+0.981,-51 -maxvit_tiny_rw_224,87.852,12.149,97.643,2.357,29.06,224,0.950,bicubic,+4.347,+1.141,-35 -deit_base_patch16_384,87.845,12.155,97.510,2.490,86.86,384,1.000,bicubic,+4.739,+1.138,-6 -mobilevitv2_175_384_in22ft1k,87.841,12.159,97.726,2.274,14.25,384,1.000,bicubic,+4.899,+1.300,+3 -convnext_nano.in12k_ft_in1k,87.834,12.166,97.888,2.112,15.59,288,1.000,bicubic,+4.976,+1.332,+7 -xcit_small_12_p8_224,87.828,12.172,97.568,2.432,26.21,224,1.000,bicubic,+4.484,+1.088,-23 -flexivit_small.1200ep_in1k,87.815,12.185,97.615,2.385,22.06,240,0.950,bicubic,+5.289,+1.479,+33 -tf_efficientnetv2_b3.in21k_ft_in1k,87.813,12.187,97.893,2.107,14.36,300,0.900,bicubic,+5.141,+1.269,+17 -vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,87.813,12.187,97.754,2.246,88.22,224,0.900,bicubic,+4.507,+1.224,-25 -flexivit_small.600ep_in1k,87.811,12.189,97.581,2.419,22.06,240,0.950,bicubic,+5.457,+1.495,+46 -maxxvit_rmlp_nano_rw_256,87.802,12.198,97.756,2.244,16.78,256,0.950,bicubic,+4.772,+1.412,-9 -deit3_medium_patch16_224,87.802,12.198,97.649,2.351,38.85,224,0.900,bicubic,+4.722,+1.357,-13 -tresnet_xl_448,87.796,12.204,97.459,2.541,78.44,448,0.875,bilinear,+4.746,+1.285,-12 -resnetv2_50x1_bit_distilled,87.787,12.213,97.899,2.101,25.55,224,0.875,bicubic,+4.969,+1.377,0 -convnext_tiny.fb_in1k,87.762,12.238,97.585,2.415,28.59,288,1.000,bicubic,+5.062,+1.449,+8 -twins_pcpvt_base,87.736,12.264,97.726,2.274,43.83,224,0.900,bicubic,+5.028,+1.380,+4 -tresnet_m,87.736,12.264,97.523,2.477,31.39,224,0.875,bilinear,+4.656,+1.405,-17 -mvitv2_tiny,87.721,12.279,97.555,2.445,24.17,224,0.900,bicubic,+5.317,+1.399,+31 -maxvit_rmlp_nano_rw_256,87.719,12.281,97.579,2.421,15.50,256,0.950,bicubic,+4.757,+1.309,-13 -gc_efficientnetv2_rw_t.agc_in1k,87.715,12.285,97.807,2.193,13.68,288,1.000,bicubic,+5.251,+1.509,+26 -resnetv2_101x1_bitm,87.681,12.319,97.940,2.060,44.54,448,1.000,bilinear,+5.349,+1.984,+39 -swin_small_patch4_window7_224,87.664,12.336,97.566,2.434,49.61,224,0.900,bicubic,+4.452,+1.244,-35 -mobilevitv2_150_384_in22ft1k,87.657,12.343,97.649,2.351,10.59,384,1.000,bicubic,+5.063,+1.331,+7 -efficientnetv2_rw_t.ra2_in1k,87.644,12.356,97.688,2.312,13.65,288,1.000,bicubic,+5.296,+1.492,+33 -twins_svt_base,87.638,12.362,97.523,2.477,56.07,224,0.900,bicubic,+4.502,+1.105,-32 -pnasnet5large,87.636,12.364,97.485,2.515,86.06,331,0.911,bicubic,+4.854,+1.445,-9 -cs3edgenet_x,87.619,12.381,97.654,2.346,47.82,288,1.000,bicubic,+4.917,+1.284,-5 -swsl_resnext101_32x16d,87.615,12.386,97.820,2.180,194.03,224,0.875,bilinear,+4.269,+0.974,-48 -flexivit_small.300ep_in1k,87.615,12.386,97.613,2.387,22.06,240,0.950,bicubic,+5.443,+1.589,+50 -swinv2_tiny_window16_256,87.615,12.386,97.562,2.438,28.35,256,0.900,bicubic,+4.805,+1.330,-14 -maxvit_nano_rw_256,87.610,12.390,97.523,2.477,15.45,256,0.950,bicubic,+4.678,+1.301,-23 -jx_nest_base,87.606,12.394,97.521,2.479,67.72,224,0.875,bicubic,+4.054,+1.151,-67 -swsl_resnext50_32x4d,87.600,12.400,97.651,2.349,25.03,224,0.875,bilinear,+5.418,+1.421,+43 -xcit_medium_24_p8_224,87.600,12.400,97.199,2.801,84.32,224,1.000,bicubic,+3.866,+0.805,-80 -sequencer2d_m,87.565,12.435,97.581,2.419,38.31,224,0.875,bicubic,+4.759,+1.313,-19 -tf_efficientnet_b2.ns_jft_in1k,87.557,12.443,97.628,2.372,9.11,260,0.890,bicubic,+5.177,+1.380,+18 -levit_384,87.553,12.447,97.545,2.455,39.13,224,0.900,bicubic,+4.967,+1.529,-5 -ecaresnet50t,87.538,12.462,97.643,2.357,25.57,320,0.950,bicubic,+5.192,+1.505,+20 -vit_base_patch32_clip_224.laion2b_ft_in1k,87.535,12.464,97.553,2.447,88.22,224,0.900,bicubic,+4.954,+1.351,-6 -vit_base_patch16_rpn_224.in1k,87.508,12.492,97.489,2.511,86.54,224,0.900,bicubic,+5.306,+1.493,+33 -pvt_v2_b2_li,87.504,12.496,97.478,2.522,22.55,224,0.900,bicubic,+5.308,+1.374,+33 -edgenext_small,87.501,12.499,97.583,2.417,5.59,320,1.000,bicubic,+5.933,+1.877,+75 -coatnet_bn_0_rw_224,87.499,12.501,97.547,2.453,27.44,224,0.950,bicubic,+5.101,+1.365,+8 -resnetv2_152x2_bit_teacher,87.493,12.507,97.812,2.188,236.34,224,0.875,bicubic,+4.631,+1.244,-33 -jx_nest_small,87.489,12.511,97.517,2.483,38.35,224,0.875,bicubic,+4.368,+1.189,-49 -vit_relpos_base_patch16_clsgap_224.sw_in1k,87.469,12.531,97.525,2.474,86.43,224,0.900,bicubic,+4.707,+1.351,-28 -vit_relpos_base_patch16_224.sw_in1k,87.463,12.537,97.558,2.442,86.43,224,0.900,bicubic,+4.979,+1.416,-3 -resnet152,87.461,12.539,97.402,2.598,60.19,224,0.950,bicubic,+4.639,+1.276,-35 -fbnetv3_g.ra2_in1k,87.452,12.548,97.547,2.453,16.62,288,0.950,bilinear,+5.404,+1.483,+37 -resnext101_64x4d,87.444,12.556,97.442,2.558,83.46,288,1.000,bicubic,+4.296,+1.070,-60 -efficientnet_b3.ra2_in1k,87.435,12.565,97.681,2.319,12.23,320,1.000,bicubic,+5.193,+1.567,+18 -resnet61q,87.435,12.565,97.598,2.402,36.85,288,1.000,bicubic,+4.911,+1.468,-11 -cait_xxs24_384,87.416,12.584,97.619,2.381,12.03,384,1.000,bicubic,+6.450,+1.973,+110 -cs3darknet_x,87.401,12.599,97.607,2.393,35.05,288,1.000,bicubic,+5.173,+1.373,+17 -cs3sedarknet_l,87.397,12.603,97.570,2.430,21.91,288,0.950,bicubic,+5.623,+1.602,+52 -resnet51q,87.395,12.605,97.587,2.413,35.70,288,1.000,bilinear,+5.035,+1.407,-1 -xcit_tiny_24_p8_224,87.380,12.620,97.628,2.372,12.11,224,1.000,bicubic,+5.480,+1.652,+41 -coat_lite_small,87.380,12.620,97.365,2.635,19.84,224,0.900,bicubic,+5.072,+1.515,+6 -tresnet_l_448,87.377,12.623,97.485,2.515,55.99,448,0.875,bilinear,+5.109,+1.509,+9 -sequencer2d_s,87.375,12.625,97.389,2.611,27.65,224,0.875,bicubic,+5.033,+1.359,-1 -pvt_v2_b2,87.373,12.627,97.517,2.483,25.36,224,0.900,bicubic,+5.297,+1.555,+21 -swinv2_cr_small_224,87.371,12.629,97.344,2.656,49.70,224,0.900,bicubic,+4.225,+1.250,-71 -vit_relpos_medium_patch16_cls_224.sw_in1k,87.369,12.631,97.453,2.547,38.76,224,0.900,bicubic,+4.807,+1.283,-25 -nasnetalarge,87.350,12.650,97.417,2.583,88.75,331,0.911,bicubic,+4.730,+1.371,-35 -crossvit_18_dagger_240,87.346,12.655,97.457,2.543,44.27,240,0.875,bicubic,+4.828,+1.097,-22 -crossvit_18_240,87.316,12.684,97.483,2.517,43.27,240,0.875,bicubic,+4.916,+1.429,-16 -resnetv2_101,87.307,12.693,97.323,2.677,44.54,224,0.950,bicubic,+5.277,+1.463,+20 -ecaresnet101d,87.288,12.712,97.562,2.438,44.57,224,0.875,bicubic,+5.116,+1.516,+9 -resnest101e,87.284,12.716,97.560,2.440,48.28,256,0.875,bilinear,+4.394,+1.240,-59 -gcvit_xtiny,87.281,12.719,97.481,2.519,19.98,224,0.875,bicubic,+5.329,+1.515,+24 -pit_s_distilled_224,87.277,12.723,97.500,2.500,24.04,224,0.900,bicubic,+5.281,+1.702,+18 -coatnet_rmlp_nano_rw_224,87.275,12.725,97.440,2.560,15.15,224,0.900,bicubic,+5.211,+1.570,+11 -resnetv2_50d_gn,87.260,12.740,97.513,2.487,25.57,288,0.950,bicubic,+5.444,+1.589,+30 -vit_relpos_medium_patch16_rpn_224.sw_in1k,87.258,12.742,97.442,2.558,38.73,224,0.900,bicubic,+4.960,+1.468,-9 -resnetrs101,87.247,12.753,97.457,2.543,63.62,288,0.940,bicubic,+4.959,+1.519,-9 -coatnext_nano_rw_224,87.239,12.761,97.549,2.451,14.70,224,0.900,bicubic,+5.291,+1.631,+19 -poolformer_m48,87.239,12.761,97.308,2.692,73.47,224,0.950,bicubic,+4.777,+1.350,-30 -mixer_b16_224_miil,87.226,12.774,97.410,2.590,59.88,224,0.875,bilinear,+4.918,+1.694,-14 -xcit_tiny_12_p8_224_dist,87.224,12.776,97.444,2.556,6.71,224,1.000,bicubic,+6.012,+1.844,+63 -tresnet_xl,87.224,12.776,97.400,2.600,78.44,224,0.875,bilinear,+5.170,+1.463,+6 -xcit_tiny_12_p16_384_dist,87.202,12.798,97.466,2.534,6.72,384,1.000,bicubic,+6.262,+2.056,+85 -convit_base,87.200,12.800,97.286,2.714,86.54,224,0.875,bicubic,+4.912,+1.278,-15 -resnetv2_50d_evos,87.194,12.806,97.361,2.639,25.59,288,0.950,bicubic,+5.218,+1.445,+7 -tf_efficientnet_b3.ap_in1k,87.192,12.808,97.380,2.620,12.23,300,0.904,bicubic,+5.370,+1.756,+18 -visformer_small,87.181,12.819,97.323,2.677,40.22,224,0.900,bicubic,+5.075,+1.451,-4 -vit_base_patch32_clip_224.openai_ft_in1k,87.177,12.823,97.463,2.537,88.22,224,0.900,bicubic,+5.247,+1.495,+12 -crossvit_15_dagger_240,87.172,12.828,97.438,2.562,28.21,240,0.875,bicubic,+4.841,+0.920,-26 -vit_srelpos_medium_patch16_224.sw_in1k,87.168,12.832,97.314,2.686,38.74,224,0.900,bicubic,+4.932,+1.380,-18 -convnext_tiny_hnf.a2h_in1k,87.143,12.857,97.293,2.707,28.59,288,1.000,bicubic,+4.553,+1.277,-58 -vit_relpos_medium_patch16_224.sw_in1k,87.141,12.860,97.504,2.496,38.75,224,0.900,bicubic,+4.675,+1.416,-45 -xcit_small_24_p16_224,87.132,12.868,97.259,2.741,47.67,224,1.000,bicubic,+4.552,+1.255,-56 -swin_s3_tiny_224,87.128,12.872,97.303,2.697,28.33,224,0.900,bicubic,+5.006,+1.355,-13 -coatnet_0_rw_224,87.119,12.881,97.224,2.776,27.44,224,0.950,bicubic,+4.729,+1.388,-41 -swinv2_tiny_window8_256,87.076,12.924,97.515,2.485,28.35,256,0.900,bicubic,+5.270,+1.521,+10 -resnet101,87.068,12.932,97.263,2.737,44.55,224,0.950,bicubic,+5.130,+1.509,+2 -mobilevitv2_200_in22ft1k,87.053,12.947,97.429,2.571,18.45,256,0.888,bicubic,+4.729,+1.489,-35 -convit_small,87.053,12.947,97.350,2.650,27.78,224,0.875,bicubic,+5.627,+1.606,+33 -crossvit_15_240,87.051,12.949,97.423,2.577,27.53,240,0.875,bicubic,+5.515,+1.731,+21 -xception41p,87.049,12.951,97.205,2.795,26.91,299,0.940,bicubic,+5.091,+1.411,-6 -tf_efficientnetv2_b3.in1k,87.032,12.968,97.303,2.697,14.36,300,0.904,bicubic,+5.062,+1.521,-8 -regnetz_b16,87.017,12.983,97.429,2.571,9.72,288,0.940,bicubic,+6.301,+1.951,+78 -xcit_small_12_p16_224,87.010,12.990,97.248,2.752,26.25,224,1.000,bicubic,+5.036,+1.432,-12 -deit3_small_patch16_224,87.010,12.990,97.169,2.831,22.06,224,0.900,bicubic,+5.624,+1.719,+32 -jx_nest_tiny,87.008,12.992,97.378,2.622,17.06,224,0.875,bicubic,+5.594,+1.762,+27 -swinv2_cr_tiny_ns_224,87.000,13.000,97.284,2.716,28.33,224,0.900,bicubic,+5.210,+1.460,0 -deit_small_distilled_patch16_224,86.993,13.007,97.316,2.684,22.44,224,0.900,bicubic,+5.793,+1.938,+38 -resmlp_36_distilled_224,86.993,13.007,97.278,2.722,44.69,224,0.875,bicubic,+5.833,+1.790,+40 -coatnet_nano_rw_224,86.989,13.011,97.242,2.759,15.14,224,0.900,bicubic,+5.289,+1.603,+1 -xcit_large_24_p16_224,86.955,13.045,96.921,3.079,189.10,224,1.000,bicubic,+4.059,+1.039,-100 -poolformer_m36,86.948,13.052,97.148,2.852,56.17,224,0.950,bicubic,+4.838,+1.460,-30 -mobilevitv2_175_in22ft1k,86.944,13.056,97.333,2.667,14.25,256,0.888,bicubic,+5.000,+1.541,-15 -xcit_medium_24_p16_224,86.936,13.065,97.101,2.899,84.40,224,1.000,bicubic,+4.300,+1.125,-85 -tnt_s_patch16_224,86.903,13.097,97.368,2.632,23.76,224,0.900,bicubic,+5.385,+1.620,+8 -vit_relpos_small_patch16_224.sw_in1k,86.899,13.101,97.489,2.511,21.98,224,0.900,bicubic,+5.437,+1.661,+13 -vit_small_patch16_224.augreg_in21k_ft_in1k,86.869,13.131,97.613,2.387,22.05,224,0.900,bicubic,+5.467,+1.479,+17 -vit_small_r26_s32_224.augreg_in21k_ft_in1k,86.863,13.137,97.528,2.472,36.43,224,0.900,bicubic,+5.005,+1.506,-16 -ssl_resnext101_32x16d,86.856,13.143,97.517,2.483,194.03,224,0.875,bilinear,+5.013,+1.421,-16 -convmixer_1536_20,86.852,13.148,97.346,2.654,51.63,224,0.960,bicubic,+5.476,+1.732,+18 -rexnet_200,86.846,13.154,97.276,2.724,16.37,224,0.875,bicubic,+5.214,+1.608,-6 -tf_efficientnet_b3.aa_in1k,86.835,13.165,97.297,2.703,12.23,300,0.904,bicubic,+5.199,+1.579,-8 -deit_base_patch16_224,86.829,13.171,97.049,2.951,86.57,224,0.900,bicubic,+4.831,+1.315,-33 -tresnet_m_448,86.820,13.180,97.212,2.788,31.39,448,0.875,bilinear,+5.106,+1.640,-14 -swsl_resnet50,86.807,13.193,97.498,2.502,25.56,224,0.875,bilinear,+5.641,+2.402,+21 -ssl_resnext101_32x8d,86.807,13.193,97.466,2.534,88.79,224,0.875,bilinear,+5.191,+1.428,-8 -tf_efficientnet_lite4.in1k,86.803,13.197,97.263,2.737,13.01,380,0.920,bilinear,+5.267,+1.595,-5 -coat_mini,86.793,13.207,97.162,2.837,10.34,224,0.900,bicubic,+5.525,+1.770,+14 -vit_base_patch16_224.orig_in21k_ft_in1k,86.778,13.223,97.438,2.562,86.57,224,0.900,bicubic,+4.992,+1.316,-22 -resnetaa50,86.778,13.223,97.395,2.605,25.56,288,1.000,bicubic,+5.156,+1.587,-13 -tresnet_l,86.767,13.233,97.271,2.729,55.99,224,0.875,bilinear,+5.279,+1.647,-5 -cs3darknet_l,86.756,13.244,97.466,2.534,21.16,288,0.950,bicubic,+5.860,+1.796,+39 -twins_svt_small,86.756,13.244,97.175,2.825,24.06,224,0.900,bicubic,+5.074,+1.505,-21 -cs3darknet_focus_l,86.743,13.257,97.376,2.624,21.15,288,0.950,bicubic,+5.859,+1.694,+39 -mobilevitv2_150_in22ft1k,86.739,13.261,97.222,2.778,10.59,256,0.888,bicubic,+5.261,+1.548,-8 -crossvit_base_240,86.733,13.267,97.120,2.880,105.03,240,0.875,bicubic,+4.517,+1.290,-62 -levit_256,86.728,13.272,97.259,2.741,18.89,224,0.900,bicubic,+5.218,+1.769,-13 -convnext_nano_ols.d1h_in1k,86.722,13.278,97.049,2.951,15.65,288,1.000,bicubic,+5.112,+1.409,-20 -vit_srelpos_small_patch16_224.sw_in1k,86.699,13.301,97.250,2.750,21.97,224,0.900,bicubic,+5.605,+1.918,+16 -seresnext50_32x4d,86.699,13.301,97.214,2.786,27.56,224,0.875,bicubic,+5.433,+1.594,+4 -crossvit_small_240,86.686,13.314,97.273,2.727,26.86,240,0.875,bicubic,+5.666,+1.814,+20 -pit_b_224,86.686,13.314,96.898,3.102,73.76,224,0.900,bicubic,+4.240,+1.188,-92 -halo2botnet50ts_256,86.681,13.319,97.090,2.910,22.64,256,0.950,bicubic,+4.621,+1.454,-57 -tf_efficientnet_b1.ns_jft_in1k,86.669,13.331,97.378,2.622,7.79,240,0.882,bicubic,+5.281,+1.640,-9 -swin_tiny_patch4_window7_224,86.664,13.336,97.197,2.803,28.29,224,0.900,bicubic,+5.286,+1.657,-8 -gernet_l,86.654,13.346,97.186,2.814,31.08,256,0.875,bilinear,+5.300,+1.650,-7 -wide_resnet50_2,86.647,13.353,97.214,2.786,68.88,224,0.875,bicubic,+5.191,+1.682,-17 -poolformer_s36,86.639,13.361,97.158,2.842,30.86,224,0.900,bicubic,+5.223,+1.712,-16 -efficientnet_el.ra_in1k,86.635,13.366,97.175,2.825,10.59,300,0.904,bicubic,+5.319,+1.649,-9 -resmlp_24_distilled_224,86.622,13.378,97.135,2.865,30.02,224,0.875,bicubic,+5.856,+1.917,+28 -twins_pcpvt_small,86.620,13.380,97.340,2.660,24.11,224,0.900,bicubic,+5.532,+1.698,+7 -nf_resnet50,86.609,13.391,97.293,2.707,25.56,288,0.940,bicubic,+5.947,+1.957,+30 -resnest50d_4s2x40d,86.592,13.408,97.269,2.731,30.42,224,0.875,bicubic,+5.484,+1.711,+1 -efficientnet_b3_pruned.in1k,86.581,13.419,97.190,2.810,9.86,300,0.904,bicubic,+5.723,+1.948,+21 -repvgg_b3,86.566,13.434,97.139,2.861,123.09,224,0.875,bilinear,+6.074,+1.879,+38 -sehalonet33ts,86.564,13.436,97.004,2.995,13.69,256,0.940,bicubic,+5.606,+1.728,+10 -sebotnet33ts_256,86.558,13.442,96.785,3.215,13.70,256,0.940,bicubic,+5.408,+1.611,-7 -xcit_tiny_24_p16_224_dist,86.536,13.464,97.218,2.782,12.12,224,1.000,bicubic,+6.090,+2.000,+43 -convnext_nano.d1h_in1k,86.530,13.470,97.177,2.823,15.59,288,1.000,bicubic,+5.060,+1.519,-31 -vit_small_patch16_384.augreg_in1k,86.496,13.504,97.182,2.818,22.20,384,1.000,bicubic,+5.376,+1.608,-8 -halonet50ts,86.483,13.517,97.152,2.848,22.73,256,0.940,bicubic,+4.839,+1.544,-48 -ssl_resnext101_32x4d,86.479,13.521,97.468,2.532,44.18,224,0.875,bilinear,+5.555,+1.740,+6 -maxvit_rmlp_pico_rw_256,86.479,13.521,97.203,2.797,7.52,256,0.950,bicubic,+5.963,+1.991,+29 -ecaresnet50d,86.470,13.530,97.186,2.814,25.58,224,0.875,bicubic,+5.878,+1.866,+21 -gcresnet50t,86.470,13.530,97.141,2.859,25.90,256,0.900,bicubic,+5.530,+1.687,+2 -gluon_resnet152_v1s,86.468,13.532,97.109,2.891,60.32,224,0.875,bicubic,+5.452,+1.697,-4 -haloregnetz_b,86.464,13.536,96.943,3.057,11.68,224,0.940,bicubic,+5.414,+1.747,-8 -mobilevitv2_200,86.451,13.549,96.972,3.027,18.45,256,0.888,bicubic,+5.315,+1.606,-17 -resnest50d_1s4x24d,86.447,13.553,97.148,2.852,25.68,224,0.875,bicubic,+5.459,+1.826,-6 -resnetv2_50x1_bitm,86.436,13.564,97.602,2.398,25.55,448,1.000,bilinear,+6.094,+1.918,+39 -repvgg_b3g4,86.361,13.639,97.054,2.946,83.83,224,0.875,bilinear,+6.149,+1.944,+51 -darknetaa53,86.359,13.641,97.158,2.842,36.02,288,1.000,bilinear,+5.837,+1.836,+18 -lamhalobotnet50ts_256,86.357,13.643,97.062,2.938,22.57,256,0.950,bicubic,+4.813,+1.558,-53 -darknet53,86.355,13.645,97.115,2.885,41.61,288,1.000,bicubic,+5.821,+1.695,+14 -efficientformer_l1,86.344,13.656,97.024,2.976,12.29,224,0.950,bicubic,+5.842,+2.026,+17 -legacy_senet154,86.342,13.658,96.928,3.072,115.09,224,0.875,bilinear,+5.032,+1.432,-35 -cait_xxs36_224,86.340,13.660,97.111,2.889,17.30,224,1.000,bicubic,+6.590,+2.245,+70 -resnext50_32x4d,86.340,13.660,96.972,3.027,25.03,224,0.950,bicubic,+5.222,+1.641,-25 -gernet_m,86.319,13.681,97.096,2.904,21.14,224,0.875,bilinear,+5.587,+1.912,0 -pit_s_224,86.316,13.684,97.045,2.955,23.46,224,0.900,bicubic,+5.222,+1.475,-24 -mobilevitv2_175,86.316,13.684,96.985,3.015,14.25,256,0.888,bicubic,+5.456,+1.731,-6 -vit_small_patch32_384.augreg_in21k_ft_in1k,86.312,13.688,97.417,2.583,22.92,384,1.000,bicubic,+5.832,+1.819,+12 -efficientnet_b2.ra_in1k,86.304,13.696,96.990,3.010,9.11,288,1.000,bicubic,+5.692,+1.672,0 -gluon_senet154,86.278,13.722,96.949,3.051,115.09,224,0.875,bicubic,+5.044,+1.601,-40 -gcvit_xxtiny,86.242,13.758,97.109,2.891,12.00,224,0.875,bicubic,+6.528,+2.029,+65 -resnest50d,86.240,13.761,97.073,2.927,27.48,224,0.875,bilinear,+5.266,+1.695,-22 -convmixer_768_32,86.229,13.771,97.034,2.966,21.11,224,0.960,bicubic,+6.065,+1.962,+38 -vit_base_patch16_384.augreg_in1k,86.227,13.773,96.968,3.032,86.86,384,1.000,bicubic,+5.125,+1.636,-33 -ecaresnet101d_pruned,86.210,13.790,97.335,2.665,24.88,224,0.875,bicubic,+5.392,+1.707,-13 -efficientnet_el_pruned.in1k,86.192,13.807,97.026,2.974,10.59,300,0.904,bicubic,+5.892,+1.808,+25 -cspdarknet53,86.182,13.818,97.013,2.987,27.64,256,0.887,bilinear,+6.124,+1.929,+40 -inception_v4,86.169,13.831,96.919,3.081,42.68,299,0.875,bicubic,+6.001,+1.951,+32 -rexnet_150,86.154,13.846,97.058,2.942,9.73,224,0.875,bicubic,+5.844,+1.892,+20 -inception_resnet_v2,86.133,13.867,97.043,2.957,55.84,299,0.897,bicubic,+5.675,+1.737,+5 -xcit_tiny_12_p8_224,86.105,13.895,97.084,2.917,6.71,224,1.000,bicubic,+6.411,+2.031,+56 -ssl_resnext50_32x4d,86.086,13.914,97.212,2.788,25.03,224,0.875,bilinear,+5.768,+1.806,+15 -tf_efficientnet_el.in1k,86.084,13.916,96.964,3.036,10.59,300,0.904,bicubic,+5.834,+1.836,+21 -mobilevitv2_150,86.075,13.925,96.849,3.151,10.59,256,0.888,bicubic,+5.699,+1.789,+7 -cspresnext50,86.073,13.927,97.101,2.899,20.57,256,0.887,bilinear,+5.527,+1.781,-12 -convnext_pico_ols.d1_in1k,86.067,13.933,97.017,2.983,9.06,288,1.000,bicubic,+5.603,+1.775,-3 -gluon_resnet101_v1s,86.054,13.946,97.022,2.978,44.67,224,0.875,bicubic,+5.752,+1.862,+13 -lambda_resnet50ts,86.054,13.946,96.736,3.264,21.54,256,0.950,bicubic,+4.888,+0.764,-54 -ecaresnetlight,86.052,13.948,97.069,2.931,30.16,224,0.875,bicubic,+5.590,+1.821,-5 -edgenext_small_rw,86.047,13.953,96.925,3.075,7.83,320,1.000,bicubic,+5.591,+1.734,-4 -poolformer_s24,86.032,13.968,97.028,2.972,21.39,224,0.900,bicubic,+5.716,+1.990,+6 -gluon_seresnext101_32x4d,86.032,13.968,96.977,3.023,48.96,224,0.875,bicubic,+5.128,+1.683,-35 -resnetv2_50,86.032,13.968,96.902,3.098,25.55,224,0.950,bicubic,+5.600,+1.822,-5 -convnext_pico.d1_in1k,86.020,13.980,96.941,3.059,9.05,288,0.950,bicubic,+5.594,+1.882,-5 -resnet50d,86.009,13.991,96.979,3.021,25.58,224,0.875,bicubic,+5.479,+1.819,-20 -seresnet33ts,86.007,13.993,97.011,2.989,19.78,256,0.900,bicubic,+5.655,+1.905,-3 -gcresnext50ts,86.007,13.993,96.966,3.034,15.67,256,0.900,bicubic,+5.427,+1.796,-24 -ecaresnet26t,85.983,14.017,97.041,2.959,16.01,320,0.950,bicubic,+6.129,+1.957,+30 -tf_efficientnet_b2.ap_in1k,85.975,14.025,96.810,3.190,9.11,260,0.890,bicubic,+5.675,+1.782,+3 -gluon_seresnext101_64x4d,85.960,14.040,96.979,3.021,88.23,224,0.875,bicubic,+5.066,+1.671,-42 -vit_base_patch32_224.augreg_in21k_ft_in1k,85.956,14.044,97.130,2.869,88.22,224,0.900,bicubic,+5.231,+1.562,-35 -fbnetv3_d.ra2_in1k,85.924,14.076,97.026,2.974,10.31,256,0.950,bilinear,+6.243,+2.082,+38 -gluon_resnet152_v1d,85.917,14.083,96.812,3.188,60.21,224,0.875,bicubic,+5.443,+1.606,-21 -vit_large_patch32_384.orig_in21k_ft_in1k,85.909,14.091,97.368,2.632,306.63,384,1.000,bicubic,+4.403,+1.276,-93 -tf_efficientnet_b2.aa_in1k,85.902,14.098,96.862,3.139,9.11,260,0.890,bicubic,+5.816,+1.954,+9 -tf_efficientnetv2_b2.in1k,85.900,14.100,96.889,3.111,10.10,260,0.890,bicubic,+5.692,+1.847,+3 -resnet50_gn,85.881,14.119,96.851,3.149,25.56,224,0.940,bicubic,+5.829,+1.905,+11 -vit_base_patch16_224.sam,85.877,14.123,96.697,3.303,86.57,224,0.900,bicubic,+5.635,+1.941,-2 -seresnet50,85.857,14.143,97.004,2.995,28.09,224,0.875,bicubic,+5.583,+1.934,-6 -repvgg_b2g4,85.855,14.145,96.812,3.188,61.76,224,0.875,bilinear,+6.489,+2.124,+45 -gluon_resnet101_v1d,85.849,14.151,96.663,3.337,44.57,224,0.875,bicubic,+5.435,+1.649,-21 -gcresnet33ts,85.815,14.185,96.898,3.102,19.88,256,0.900,bicubic,+5.733,+1.900,+3 -mixnet_xl.ra_in1k,85.798,14.202,96.712,3.288,11.90,224,0.875,bicubic,+5.322,+1.776,-32 -ens_adv_inception_resnet_v2,85.781,14.220,96.761,3.239,55.84,299,0.897,bicubic,+5.799,+1.823,+6 -tf_efficientnet_lite3.in1k,85.755,14.245,96.887,3.113,8.20,300,0.904,bilinear,+5.935,+1.973,+16 -ese_vovnet39b,85.751,14.249,96.891,3.109,24.57,224,0.875,bicubic,+6.431,+2.179,+41 -legacy_seresnext101_32x4d,85.746,14.254,96.757,3.243,48.96,224,0.875,bilinear,+5.518,+1.739,-11 -gluon_resnext101_32x4d,85.746,14.254,96.635,3.365,44.18,224,0.875,bicubic,+5.412,+1.709,-21 -eca_resnet33ts,85.740,14.260,96.900,3.100,19.68,256,0.900,bicubic,+5.662,+1.930,-3 -xcit_tiny_24_p16_224,85.734,14.267,96.938,3.062,12.12,224,1.000,bicubic,+6.290,+2.056,+33 -regnety_320,85.725,14.275,96.725,3.275,145.05,224,0.875,bicubic,+4.915,+1.481,-58 -cspresnet50,85.721,14.279,96.795,3.205,21.62,256,0.887,bilinear,+6.147,+2.083,+23 -resnet50,85.706,14.294,96.494,3.506,25.56,224,0.950,bicubic,+5.332,+1.880,-31 -xception71,85.697,14.303,96.776,3.224,42.34,299,0.903,bicubic,+5.823,+1.854,+1 -resmlp_big_24_224,85.695,14.305,96.426,3.574,129.14,224,0.875,bicubic,+4.667,+1.404,-79 -gluon_resnext101_64x4d,85.693,14.307,96.644,3.356,83.46,224,0.875,bicubic,+5.089,+1.656,-56 -efficientnet_em.ra2_in1k,85.684,14.316,96.938,3.062,6.90,240,0.882,bicubic,+6.432,+2.144,+41 -deit_small_patch16_224,85.678,14.322,96.906,3.094,22.05,224,0.900,bicubic,+5.822,+1.854,-2 -pit_xs_distilled_224,85.657,14.343,96.667,3.333,11.00,224,0.900,bicubic,+6.351,+2.303,+32 -efficientnet_b2_pruned.in1k,85.642,14.358,96.746,3.254,8.31,260,0.890,bicubic,+5.726,+1.890,-8 -dpn107,85.640,14.360,96.729,3.271,86.92,224,0.875,bicubic,+5.484,+1.819,-19 -resmlp_36_224,85.620,14.380,96.795,3.205,44.69,224,0.875,bicubic,+5.850,+1.909,0 -mobilevitv2_125,85.584,14.416,96.665,3.335,7.48,256,0.888,bicubic,+5.900,+1.815,+6 -ecaresnet50d_pruned,85.580,14.420,96.936,3.064,19.94,224,0.875,bicubic,+5.864,+2.056,0 -levit_192,85.580,14.420,96.740,3.260,10.95,224,0.900,bicubic,+5.738,+1.954,-7 -gluon_resnet152_v1c,85.580,14.420,96.646,3.354,60.21,224,0.875,bicubic,+5.670,+1.806,-12 -resnext50d_32x4d,85.569,14.431,96.748,3.252,25.05,224,0.875,bicubic,+5.893,+1.882,+4 -tf_efficientnetv2_b1.in1k,85.561,14.439,96.727,3.273,8.14,240,0.882,bicubic,+6.099,+2.005,+13 -regnety_120,85.543,14.457,96.785,3.215,51.82,224,0.875,bicubic,+5.177,+1.659,-46 -fbnetv3_b.ra2_in1k,85.524,14.476,96.862,3.139,8.60,256,0.950,bilinear,+6.374,+2.116,+36 -regnetx_320,85.524,14.476,96.669,3.331,107.81,224,0.875,bicubic,+5.278,+1.643,-36 -nf_regnet_b1,85.505,14.495,96.791,3.209,10.22,288,0.900,bicubic,+6.213,+2.043,+21 -dpn92,85.494,14.506,96.635,3.365,37.67,224,0.875,bicubic,+5.486,+1.799,-24 -gluon_resnet152_v1b,85.475,14.525,96.550,3.450,60.19,224,0.875,bicubic,+5.789,+1.814,-6 -rexnet_130,85.473,14.527,96.684,3.316,7.56,224,0.875,bicubic,+5.973,+2.002,+2 -resnetrs50,85.462,14.538,96.736,3.264,35.69,224,0.910,bicubic,+5.570,+1.767,-22 -dpn131,85.398,14.602,96.639,3.361,79.25,224,0.875,bicubic,+5.576,+1.929,-17 -convnext_tiny.fb_in22k_ft_in1k,85.390,14.610,96.799,3.200,28.59,288,1.000,bicubic,+6.482,+2.125,+41 -regnetx_160,85.390,14.610,96.637,3.363,54.28,224,0.875,bicubic,+5.534,+1.807,-22 -dla102x2,85.366,14.634,96.629,3.371,41.28,224,0.875,bilinear,+5.918,+1.989,+2 -gmlp_s16_224,85.353,14.646,96.648,3.352,19.42,224,0.875,bicubic,+5.712,+2.050,-9 -botnet26t_256,85.343,14.657,96.629,3.371,12.49,256,0.950,bicubic,+6.071,+2.101,+15 -gluon_seresnext50_32x4d,85.336,14.664,96.667,3.333,27.56,224,0.875,bicubic,+5.418,+1.845,-32 -skresnext50_32x4d,85.313,14.687,96.390,3.610,27.48,224,0.875,bicubic,+5.157,+1.748,-41 -dpn98,85.311,14.689,96.469,3.531,61.57,224,0.875,bicubic,+5.669,+1.841,-12 -gluon_resnet101_v1c,85.304,14.696,96.405,3.595,44.57,224,0.875,bicubic,+5.770,+1.827,-10 -lambda_resnet26t,85.300,14.700,96.718,3.282,10.96,256,0.940,bicubic,+6.204,+2.126,+21 -dpn68b,85.291,14.709,96.464,3.536,12.61,224,0.875,bicubic,+6.076,+2.050,+12 -resnetblur50,85.283,14.717,96.531,3.470,25.56,224,0.875,bicubic,+5.997,+1.892,+5 -resmlp_24_224,85.268,14.732,96.492,3.508,30.02,224,0.875,bicubic,+5.894,+1.946,-6 -convnext_femto_ols.d1_in1k,85.255,14.745,96.770,3.230,5.23,288,0.950,bicubic,+6.321,+2.238,+26 -coat_lite_mini,85.251,14.749,96.680,3.320,11.01,224,0.900,bicubic,+6.163,+2.076,+17 -cait_xxs24_224,85.228,14.773,96.712,3.288,11.96,224,1.000,bicubic,+6.842,+2.402,+55 -resnet33ts,85.228,14.773,96.627,3.373,19.68,256,0.900,bicubic,+6.014,+2.053,+7 -xcit_tiny_12_p16_224_dist,85.208,14.792,96.597,3.403,6.72,224,1.000,bicubic,+6.630,+2.401,+40 -pvt_v2_b1,85.198,14.802,96.622,3.378,14.01,224,0.900,bicubic,+6.504,+2.130,+35 -halonet26t,85.195,14.805,96.462,3.538,12.48,256,0.950,bicubic,+6.096,+2.150,+10 -resnext101_32x8d,85.187,14.813,96.445,3.555,88.79,224,0.875,bilinear,+5.879,+1.927,-10 -gluon_inception_v3,85.183,14.817,96.526,3.474,23.83,299,0.875,bicubic,+6.377,+2.156,+25 -resnet32ts,85.155,14.845,96.624,3.376,17.96,256,0.900,bicubic,+6.151,+2.269,+14 -convnext_femto.d1_in1k,85.151,14.849,96.708,3.292,5.22,288,0.950,bicubic,+6.447,+2.274,+29 -hrnet_w48,85.151,14.849,96.492,3.508,77.47,224,0.875,bilinear,+5.851,+1.980,-10 -gluon_xception65,85.148,14.851,96.597,3.403,39.92,299,0.903,bicubic,+5.433,+1.737,-38 -gluon_resnet101_v1b,85.142,14.858,96.366,3.634,44.55,224,0.875,bicubic,+5.836,+1.842,-14 -eca_halonext26ts,85.131,14.869,96.584,3.416,10.76,256,0.940,bicubic,+5.645,+1.986,-27 -regnetx_120,85.131,14.869,96.477,3.523,46.11,224,0.875,bicubic,+5.535,+1.739,-32 -xception,85.129,14.871,96.471,3.529,22.86,299,0.897,bicubic,+6.077,+2.079,+6 -tf_efficientnet_b1.ap_in1k,85.127,14.873,96.405,3.595,7.79,240,0.882,bicubic,+5.847,+2.099,-13 -eca_botnext26ts_256,85.125,14.875,96.509,3.491,10.59,256,0.950,bicubic,+5.851,+1.895,-13 -hrnet_w64,85.119,14.881,96.744,3.256,128.06,224,0.875,bilinear,+5.645,+2.092,-30 -ssl_resnet50,85.097,14.903,96.866,3.134,25.56,224,0.875,bilinear,+5.875,+2.034,-12 -lambda_resnet26rpt_256,85.095,14.905,96.560,3.440,10.99,256,0.940,bicubic,+6.125,+2.130,+4 -res2net101_26w_4s,85.093,14.907,96.381,3.619,45.21,224,0.875,bilinear,+5.895,+1.949,-10 -tf_efficientnet_cc_b1_8e.in1k,85.063,14.937,96.422,3.578,39.72,240,0.882,bicubic,+5.755,+2.052,-25 -res2net50_26w_8s,85.031,14.969,96.419,3.580,48.40,224,0.875,bilinear,+5.831,+2.052,-13 -xcit_nano_12_p8_384_dist,85.029,14.971,96.629,3.371,3.05,384,1.000,bicubic,+7.209,+2.593,+64 -resnest26d,85.008,14.992,96.637,3.363,17.07,224,0.875,bilinear,+6.530,+2.339,+24 -gluon_resnext50_32x4d,84.995,15.005,96.426,3.574,25.03,224,0.875,bicubic,+5.641,+2.000,-32 -tf_efficientnet_b0.ns_jft_in1k,84.984,15.016,96.503,3.497,5.29,224,0.875,bicubic,+6.326,+2.127,+15 -coat_tiny,84.976,15.024,96.409,3.591,5.50,224,0.900,bicubic,+6.542,+2.371,+25 -dla169,84.920,15.080,96.535,3.465,53.39,224,0.875,bilinear,+6.232,+2.199,+11 -tf_efficientnet_b1.aa_in1k,84.918,15.082,96.364,3.636,7.79,240,0.882,bicubic,+6.092,+2.166,+1 -mobilevitv2_100,84.905,15.095,96.385,3.615,4.90,256,0.888,bicubic,+6.815,+2.221,+41 -legacy_seresnext50_32x4d,84.901,15.099,96.434,3.566,27.56,224,0.875,bilinear,+5.823,+1.998,-14 -hrnet_w44,84.884,15.116,96.434,3.566,67.06,224,0.875,bilinear,+5.988,+2.066,-5 -gluon_resnet50_v1s,84.862,15.138,96.443,3.557,25.68,224,0.875,bicubic,+6.150,+2.205,+3 -regnetx_080,84.862,15.138,96.434,3.566,39.57,224,0.875,bicubic,+5.668,+1.874,-23 -levit_128,84.843,15.157,96.360,3.640,9.21,224,0.900,bicubic,+6.357,+2.350,+11 -gluon_resnet50_v1d,84.832,15.168,96.398,3.602,25.58,224,0.875,bicubic,+5.758,+1.928,-18 -dla60_res2next,84.830,15.170,96.411,3.589,17.03,224,0.875,bilinear,+6.390,+2.259,+14 -vit_tiny_patch16_384.augreg_in21k_ft_in1k,84.828,15.172,96.708,3.292,5.79,384,1.000,bicubic,+6.398,+2.166,+15 -mixnet_l.ft_in1k,84.822,15.178,96.328,3.672,7.33,224,0.875,bicubic,+5.846,+2.146,-17 -tv_resnet152,84.815,15.185,96.225,3.775,60.19,224,0.875,bilinear,+6.503,+2.187,+20 -dla102x,84.813,15.187,96.552,3.448,26.31,224,0.875,bilinear,+6.303,+2.324,+3 -dla60_res2net,84.813,15.187,96.481,3.519,20.85,224,0.875,bilinear,+6.349,+2.275,+8 -pit_xs_224,84.792,15.208,96.492,3.508,10.62,224,0.900,bicubic,+6.610,+2.324,+23 -xception41,84.792,15.208,96.413,3.587,26.97,299,0.903,bicubic,+6.276,+2.135,0 -regnetx_064,84.781,15.219,96.490,3.510,26.21,224,0.875,bicubic,+5.709,+2.032,-26 -hrnet_w40,84.743,15.257,96.554,3.446,57.56,224,0.875,bilinear,+5.823,+2.084,-21 -res2net50_26w_6s,84.726,15.274,96.281,3.719,37.05,224,0.875,bilinear,+6.156,+2.157,-4 -repvgg_b2,84.724,15.276,96.469,3.531,89.02,224,0.875,bilinear,+5.932,+2.055,-15 -vit_base_patch32_384.augreg_in1k,84.722,15.278,96.319,3.681,88.30,384,1.000,bicubic,+5.962,+2.091,-14 -resmlp_12_distilled_224,84.713,15.287,96.225,3.775,15.35,224,0.875,bicubic,+6.769,+2.667,+29 -cs3darknet_m,84.704,15.296,96.488,3.512,9.31,288,0.950,bicubic,+7.068,+2.474,+41 -legacy_seresnet152,84.704,15.296,96.417,3.583,66.82,224,0.875,bilinear,+6.044,+2.047,-12 -selecsls60b,84.657,15.343,96.300,3.700,32.77,224,0.875,bicubic,+6.245,+2.126,+1 -hrnet_w32,84.651,15.349,96.407,3.593,41.23,224,0.875,bilinear,+6.201,+2.221,-4 -bat_resnext26ts,84.638,15.362,96.272,3.728,10.73,256,0.900,bicubic,+6.396,+2.172,+8 -tf_efficientnetv2_b0.in1k,84.625,15.375,96.274,3.726,7.14,224,0.875,bicubic,+6.269,+2.250,+2 -efficientnet_b1.ft_in1k,84.608,15.392,96.332,3.668,7.79,256,1.000,bicubic,+5.814,+1.990,-25 -regnetx_040,84.600,15.400,96.383,3.617,22.12,224,0.875,bicubic,+6.118,+2.139,-11 -efficientnet_es.ra_in1k,84.591,15.409,96.311,3.689,5.44,224,0.875,bicubic,+6.525,+2.385,+13 -vit_relpos_base_patch32_plus_rpn_256.sw_in1k,84.591,15.409,96.005,3.995,119.42,256,0.900,bicubic,+5.111,+1.867,-74 -hrnet_w30,84.572,15.428,96.388,3.612,37.71,224,0.875,bilinear,+6.366,+2.166,+4 -tf_mixnet_l.in1k,84.564,15.437,96.244,3.756,7.33,224,0.875,bicubic,+5.790,+2.246,-28 -wide_resnet101_2,84.557,15.443,96.349,3.651,126.89,224,0.875,bilinear,+5.701,+2.067,-35 -vit_small_patch16_224.augreg_in1k,84.538,15.462,96.276,3.724,22.05,224,0.900,bicubic,+5.692,+1.992,-35 -dla60x,84.523,15.477,96.285,3.715,17.35,224,0.875,bilinear,+6.277,+2.267,-4 -legacy_seresnet101,84.504,15.496,96.330,3.670,49.33,224,0.875,bilinear,+6.122,+2.066,-10 -cs3darknet_focus_m,84.478,15.522,96.419,3.580,9.30,288,0.950,bicubic,+7.200,+2.450,+43 -resnet26t,84.476,15.524,96.217,3.783,16.01,256,0.940,bicubic,+6.594,+2.377,+14 -coat_lite_tiny,84.450,15.550,96.368,3.632,5.72,224,0.900,bicubic,+6.938,+2.452,+31 -tf_efficientnet_em.in1k,84.450,15.550,96.180,3.820,6.90,240,0.882,bicubic,+6.320,+2.136,-1 -repvgg_b1,84.416,15.584,96.221,3.779,57.42,224,0.875,bilinear,+6.050,+2.123,-14 -efficientnet_b1_pruned.in1k,84.393,15.607,96.140,3.860,6.33,240,0.882,bicubic,+6.157,+2.306,-8 -vit_base_patch16_224.augreg_in1k,84.391,15.610,96.046,3.954,86.57,224,0.900,bicubic,+5.237,+1.946,-61 -res2net50_26w_4s,84.365,15.635,96.082,3.918,25.70,224,0.875,bilinear,+6.401,+2.228,+4 -hardcorenas_f,84.326,15.674,96.025,3.975,8.20,224,0.875,bilinear,+6.222,+2.222,-5 -res2net50_14w_8s,84.309,15.691,96.072,3.929,25.06,224,0.875,bilinear,+6.159,+2.224,-8 -selecsls60,84.288,15.712,96.095,3.905,30.67,224,0.875,bicubic,+6.306,+2.267,0 -mobilevit_s,84.271,15.729,96.264,3.736,5.58,256,0.900,bicubic,+5.959,+2.118,-19 -regnetx_032,84.237,15.763,96.247,3.753,15.30,224,0.875,bicubic,+6.065,+2.159,-12 -res2next50,84.226,15.774,95.997,4.003,24.67,224,0.875,bilinear,+5.980,+2.105,-18 -convnext_atto_ols.a2_in1k,84.220,15.780,96.223,3.777,3.70,288,0.950,bicubic,+7.004,+2.543,+32 -gluon_resnet50_v1c,84.207,15.793,96.161,3.839,25.58,224,0.875,bicubic,+6.195,+2.173,-7 -dla102,84.190,15.810,96.206,3.794,33.27,224,0.875,bilinear,+6.158,+2.260,-9 -gcresnext26ts,84.164,15.836,96.086,3.914,10.48,256,0.900,bicubic,+6.350,+2.252,+4 -rexnet_100,84.162,15.838,96.255,3.745,4.80,224,0.875,bicubic,+6.304,+2.385,+1 -seresnext26ts,84.149,15.851,96.074,3.926,10.39,256,0.900,bicubic,+6.283,+2.284,-3 -convnext_atto.d2_in1k,84.147,15.853,96.200,3.800,3.70,288,0.950,bicubic,+7.133,+2.500,+34 -tf_inception_v3,84.136,15.864,95.920,4.080,23.83,299,0.875,bicubic,+6.276,+2.280,-3 -res2net50_48w_2s,84.126,15.874,95.965,4.035,25.29,224,0.875,bilinear,+6.604,+2.411,+10 -resnet34d,84.098,15.902,95.978,4.022,21.82,224,0.875,bicubic,+6.982,+2.596,+26 -tf_efficientnet_lite2.in1k,84.094,15.906,96.069,3.931,6.09,260,0.890,bicubic,+6.626,+2.315,+10 -xcit_tiny_12_p16_224,84.090,15.911,96.234,3.766,6.72,224,1.000,bicubic,+6.969,+2.522,+23 -efficientnet_b0.ra_in1k,84.038,15.962,95.956,4.044,5.29,224,0.875,bicubic,+6.340,+2.424,-3 -poolformer_s12,84.032,15.968,96.161,3.839,11.92,224,0.900,bicubic,+6.802,+2.657,+18 -crossvit_9_dagger_240,84.015,15.985,96.084,3.916,8.78,240,0.875,bicubic,+7.035,+2.474,+27 -hardcorenas_e,83.968,16.032,95.898,4.101,8.07,224,0.875,bilinear,+6.174,+2.204,-8 -gmixer_24_224,83.968,16.032,95.849,4.151,24.72,224,0.875,bicubic,+5.932,+2.185,-23 -tf_efficientnet_cc_b0_8e.in1k,83.966,16.034,96.065,3.935,24.01,224,0.875,bicubic,+6.058,+2.411,-17 -tv_resnext50_32x4d,83.959,16.041,95.960,4.040,25.03,224,0.875,bilinear,+6.339,+2.264,-5 -regnety_016,83.955,16.045,96.005,3.995,11.20,224,0.875,bicubic,+6.093,+2.285,-16 -gluon_resnet50_v1b,83.940,16.060,96.012,3.988,25.56,224,0.875,bicubic,+6.360,+2.296,-3 -densenet161,83.906,16.094,96.010,3.990,28.68,224,0.875,bicubic,+6.548,+2.372,+4 -adv_inception_v3,83.902,16.098,95.935,4.065,23.83,299,0.875,bicubic,+6.320,+2.199,-6 -mobilenetv2_120d.ra_in1k,83.893,16.107,95.909,4.091,5.83,224,0.875,bicubic,+6.609,+2.417,+5 -seresnext26t_32x4d,83.878,16.122,95.931,4.069,16.81,224,0.875,bicubic,+5.892,+2.185,-29 -tv_resnet101,83.848,16.152,95.892,4.108,44.55,224,0.875,bilinear,+6.474,+2.352,-1 -tinynet_a.in1k,83.827,16.173,95.820,4.181,6.19,192,0.875,bicubic,+6.175,+2.284,-16 -inception_v3,83.761,16.239,95.879,4.121,23.83,299,0.875,bicubic,+6.321,+2.403,-5 -hardcorenas_d,83.759,16.241,95.734,4.266,7.50,224,0.875,bilinear,+6.327,+2.250,-5 -seresnext26d_32x4d,83.754,16.246,95.849,4.151,16.81,224,0.875,bicubic,+6.152,+2.241,-15 -xcit_nano_12_p8_224_dist,83.731,16.269,95.960,4.040,3.05,224,1.000,bicubic,+7.407,+2.870,+31 -dla60,83.729,16.271,95.933,4.067,22.04,224,0.875,bilinear,+6.697,+2.615,+8 -eca_resnext26ts,83.701,16.299,95.948,4.052,10.30,256,0.900,bicubic,+6.249,+2.382,-11 -repvgg_b1g4,83.699,16.301,96.020,3.980,39.97,224,0.875,bilinear,+6.105,+2.194,-18 -convmixer_1024_20_ks9_p14,83.682,16.318,95.896,4.104,24.38,224,0.960,bicubic,+6.736,+2.538,+9 -legacy_seresnet50,83.662,16.337,95.973,4.027,28.09,224,0.875,bilinear,+6.032,+2.225,-23 -tf_efficientnet_b0.ap_in1k,83.650,16.350,95.779,4.221,5.29,224,0.875,bicubic,+6.564,+2.523,+1 -skresnet34,83.641,16.359,95.933,4.067,22.28,224,0.875,bicubic,+6.729,+2.611,+9 -tf_efficientnet_cc_b0_4e.in1k,83.639,16.361,95.740,4.260,13.31,224,0.875,bicubic,+6.333,+2.406,-12 -resmlp_12_224,83.571,16.429,95.760,4.240,15.35,224,0.875,bicubic,+6.917,+2.580,+13 -densenet201,83.556,16.444,95.811,4.189,20.01,224,0.875,bicubic,+6.270,+2.333,-13 -mobilenetv3_large_100.miil_in21k_ft_in1k,83.556,16.444,95.452,4.548,5.48,224,0.875,bilinear,+5.640,+2.542,-42 -gernet_s,83.522,16.478,95.794,4.206,8.17,224,0.875,bilinear,+6.606,+2.662,+3 -legacy_seresnext26_32x4d,83.517,16.483,95.719,4.281,16.79,224,0.875,bicubic,+6.413,+2.403,-7 -tf_efficientnet_b0.aa_in1k,83.515,16.485,95.719,4.281,5.29,224,0.875,bicubic,+6.667,+2.491,+2 -mixnet_m.ft_in1k,83.515,16.485,95.689,4.311,5.01,224,0.875,bicubic,+6.255,+2.265,-14 -hrnet_w18,83.500,16.500,95.907,4.093,21.30,224,0.875,bilinear,+6.742,+2.463,+4 -densenetblur121d,83.472,16.527,95.822,4.178,8.00,224,0.875,bicubic,+6.885,+2.630,+9 -resnext26ts,83.464,16.536,95.728,4.272,10.30,256,0.900,bicubic,+6.684,+2.598,+1 -selecsls42b,83.457,16.543,95.745,4.255,32.46,224,0.875,bicubic,+6.283,+2.355,-16 -tf_efficientnet_lite1.in1k,83.344,16.656,95.642,4.358,5.42,240,0.882,bicubic,+6.702,+2.416,+3 -hardcorenas_c,83.342,16.658,95.706,4.294,5.52,224,0.875,bilinear,+6.288,+2.548,-13 -regnetx_016,83.195,16.805,95.740,4.260,9.19,224,0.875,bicubic,+6.245,+2.320,-10 -mobilenetv2_140.ra_in1k,83.182,16.818,95.689,4.311,6.11,224,0.875,bicubic,+6.666,+2.693,+6 -dpn68,83.178,16.822,95.597,4.402,12.61,224,0.875,bicubic,+6.860,+2.620,+8 -tf_efficientnet_es.in1k,83.178,16.822,95.585,4.415,5.44,224,0.875,bicubic,+6.584,+2.383,0 -xcit_nano_12_p16_384_dist,83.176,16.824,95.753,4.247,3.05,384,1.000,bicubic,+7.718,+3.059,+22 -tf_mixnet_m.in1k,83.176,16.824,95.461,4.539,5.01,224,0.875,bicubic,+6.234,+2.309,-12 -ese_vovnet19b_dw,83.109,16.890,95.779,4.221,6.54,224,0.875,bicubic,+6.311,+2.511,-10 -levit_128s,83.069,16.931,95.531,4.469,7.78,224,0.900,bicubic,+6.539,+2.665,-1 -resnet26d,83.050,16.950,95.604,4.396,16.01,224,0.875,bicubic,+6.354,+2.454,-9 -repvgg_a2,83.001,16.999,95.589,4.411,28.21,224,0.875,bilinear,+6.541,+2.585,-1 -tv_resnet50,82.958,17.042,95.467,4.533,25.56,224,0.875,bilinear,+6.820,+2.603,+2 -hardcorenas_b,82.873,17.128,95.392,4.607,5.18,224,0.875,bilinear,+6.335,+2.638,-6 -densenet121,82.823,17.177,95.585,4.415,7.98,224,0.875,bicubic,+7.245,+2.933,+11 -mobilevitv2_075,82.813,17.187,95.576,4.424,2.87,256,0.888,bicubic,+7.191,+2.808,+9 -vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k,82.691,17.309,95.845,4.155,6.36,384,1.000,bicubic,+6.739,+2.585,+1 -densenet169,82.683,17.317,95.600,4.400,14.15,224,0.875,bicubic,+6.776,+2.574,+2 -edgenext_x_small,82.572,17.428,95.461,4.539,2.34,288,1.000,bicubic,+6.883,+2.695,+3 -mixnet_s.ft_in1k,82.525,17.476,95.356,4.644,4.13,224,0.875,bicubic,+6.532,+2.560,-4 -vit_small_patch32_224.augreg_in21k_ft_in1k,82.514,17.486,95.670,4.330,22.88,224,0.900,bicubic,+6.524,+2.398,-4 -regnety_008,82.493,17.508,95.487,4.513,6.26,224,0.875,bicubic,+6.177,+2.421,-8 -efficientnet_lite0.ra_in1k,82.382,17.619,95.279,4.721,4.65,224,0.875,bicubic,+6.898,+2.769,+6 -resnest14d,82.352,17.648,95.339,4.661,10.61,224,0.875,bilinear,+6.846,+2.821,+4 -hardcorenas_a,82.313,17.687,95.294,4.706,5.26,224,0.875,bilinear,+6.397,+2.780,-6 -efficientnet_es_pruned.in1k,82.296,17.704,95.303,4.697,5.44,224,0.875,bicubic,+7.296,+2.855,+15 -mobilenetv3_rw.rmsp_in1k,82.275,17.725,95.234,4.766,5.48,224,0.875,bicubic,+6.641,+2.526,-3 -semnasnet_100.rmsp_in1k,82.251,17.749,95.230,4.770,3.89,224,0.875,bicubic,+6.803,+2.626,+4 -mobilenetv3_large_100.ra_in1k,82.177,17.823,95.196,4.804,5.48,224,0.875,bicubic,+6.410,+2.654,-8 -resnet34,82.138,17.862,95.130,4.870,21.80,224,0.875,bilinear,+7.028,+2.846,+8 -mobilenetv2_110d.ra_in1k,82.070,17.930,95.076,4.923,4.52,224,0.875,bicubic,+7.034,+2.890,+9 -vit_tiny_patch16_224.augreg_in21k_ft_in1k,82.066,17.934,95.489,4.511,5.72,224,0.900,bicubic,+6.612,+2.641,-1 -tf_mixnet_s.in1k,82.038,17.962,95.121,4.879,4.13,224,0.875,bicubic,+6.388,+2.493,-10 -repvgg_b0,82.001,17.999,95.100,4.900,15.82,224,0.875,bilinear,+6.849,+2.682,+1 -deit_tiny_distilled_patch16_224,81.997,18.003,95.141,4.859,5.91,224,0.900,bicubic,+7.487,+3.251,+17 -mixer_b16_224,81.976,18.024,94.449,5.551,59.88,224,0.875,bicubic,+5.376,+2.221,-31 -pit_ti_distilled_224,81.967,18.033,95.145,4.855,5.10,224,0.900,bicubic,+7.437,+3.049,+14 -hrnet_w18_small_v2,81.961,18.039,95.164,4.836,15.60,224,0.875,bilinear,+6.847,+2.748,-1 -tf_efficientnet_lite0.in1k,81.952,18.048,95.168,4.832,4.65,224,0.875,bicubic,+7.122,+2.992,+5 -resnet26,81.944,18.056,95.241,4.759,16.00,224,0.875,bicubic,+6.652,+2.671,-7 -tinynet_b.in1k,81.871,18.129,94.878,5.122,3.73,188,0.875,bicubic,+6.897,+2.690,+1 -tf_mobilenetv3_large_100.in1k,81.848,18.152,95.070,4.930,5.48,224,0.875,bilinear,+6.330,+2.464,-15 -tv_densenet121,81.726,18.274,95.034,4.966,7.98,224,0.875,bicubic,+6.988,+2.884,+3 -regnety_006,81.700,18.300,95.115,4.885,6.06,224,0.875,bicubic,+6.454,+2.583,-10 -dla34,81.658,18.342,94.878,5.122,15.74,224,0.875,bilinear,+7.028,+2.800,+4 -xcit_nano_12_p8_224,81.643,18.357,95.273,4.727,3.05,224,1.000,bicubic,+7.729,+3.101,+12 -crossvit_9_240,81.615,18.385,94.978,5.022,8.55,240,0.875,bicubic,+7.651,+3.010,+10 -mobilevit_xs,81.566,18.434,95.034,4.966,2.32,256,0.900,bicubic,+6.922,+2.682,0 -fbnetc_100.rmsp_in1k,81.559,18.441,94.970,5.030,5.57,224,0.875,bilinear,+6.436,+2.584,-13 -legacy_seresnet34,81.534,18.466,94.899,5.101,21.96,224,0.875,bilinear,+6.726,+2.775,-5 -gluon_resnet34_v1b,81.500,18.500,94.810,5.190,21.80,224,0.875,bicubic,+6.912,+2.820,-1 -regnetx_008,81.485,18.515,95.059,4.941,7.26,224,0.875,bicubic,+6.447,+2.724,-13 -mnasnet_100.rmsp_in1k,81.459,18.541,94.899,5.101,4.38,224,0.875,bicubic,+6.801,+2.785,-6 -vgg19_bn,81.446,18.554,94.763,5.237,143.68,224,0.875,bilinear,+7.232,+2.921,-1 -vit_base_patch32_224.augreg_in1k,81.143,18.857,94.427,5.572,88.22,224,0.900,bicubic,+6.239,+2.649,-12 -convit_tiny,81.126,18.874,95.044,4.955,5.71,224,0.875,bicubic,+8.010,+3.331,+10 -crossvit_tiny_240,81.088,18.912,94.987,5.013,7.01,240,0.875,bicubic,+7.764,+3.071,+6 -spnasnet_100.rmsp_in1k,80.878,19.122,94.526,5.474,4.42,224,0.875,bilinear,+6.794,+2.708,-4 -ghostnet_100,80.699,19.301,94.291,5.709,5.18,224,0.875,bilinear,+6.721,+2.835,-3 -regnety_004,80.659,19.341,94.686,5.314,4.34,224,0.875,bicubic,+6.624,+2.934,-5 -skresnet18,80.637,19.363,94.378,5.622,11.96,224,0.875,bicubic,+7.599,+3.210,+6 -regnetx_006,80.629,19.371,94.524,5.476,6.20,224,0.875,bicubic,+6.777,+2.852,-3 -pit_ti_224,80.605,19.395,94.618,5.383,4.85,224,0.900,bicubic,+7.693,+3.216,+7 -swsl_resnet18,80.575,19.425,94.743,5.256,11.69,224,0.875,bilinear,+7.299,+3.010,+1 -vgg16_bn,80.556,19.444,94.592,5.408,138.37,224,0.875,bilinear,+7.206,+3.086,-3 -semnasnet_075.rmsp_in1k,80.477,19.523,94.321,5.679,2.91,224,0.875,bicubic,+7.503,+3.185,+2 -tv_resnet34,80.389,19.611,94.436,5.564,21.80,224,0.875,bilinear,+7.077,+3.010,-3 -resnet18d,80.387,19.613,94.252,5.748,11.71,224,0.875,bicubic,+8.127,+3.556,+9 -mobilenetv2_100.ra_in1k,80.257,19.743,94.195,5.805,3.50,224,0.875,bicubic,+7.287,+3.179,0 -xcit_nano_12_p16_224_dist,80.212,19.788,94.361,5.639,3.05,224,1.000,bicubic,+7.910,+3.499,+6 -vit_base_patch32_224.sam,80.208,19.792,93.825,6.175,88.22,224,0.900,bicubic,+6.518,+2.811,-11 -ssl_resnet18,80.101,19.899,94.590,5.410,11.69,224,0.875,bilinear,+7.491,+3.174,-1 -tf_mobilenetv3_large_075.in1k,80.093,19.907,94.184,5.816,3.99,224,0.875,bilinear,+6.655,+2.834,-12 -deit_tiny_patch16_224,80.018,19.982,94.449,5.551,5.72,224,0.900,bicubic,+7.850,+3.331,+5 -hrnet_w18_small,79.555,20.445,93.898,6.102,13.19,224,0.875,bilinear,+7.213,+3.220,0 -vgg19,79.480,20.520,93.870,6.130,143.67,224,0.875,bilinear,+7.112,+2.998,-3 -regnetx_004,79.435,20.565,93.853,6.147,5.16,224,0.875,bicubic,+7.039,+3.023,-5 -resnet14t,79.239,20.761,93.606,6.394,10.08,224,0.950,bilinear,+6.889,+3.266,-4 -tf_mobilenetv3_large_minimal_100.in1k,79.222,20.778,93.706,6.294,3.92,224,0.875,bilinear,+6.974,+3.076,-1 -edgenext_xx_small,79.175,20.825,93.821,6.179,1.33,288,1.000,bicubic,+7.309,+3.277,+2 -legacy_seresnet18,79.153,20.847,93.783,6.217,11.78,224,0.875,bicubic,+7.409,+3.449,+3 -vgg16,79.038,20.962,93.646,6.354,138.36,224,0.875,bilinear,+7.444,+3.270,+3 -vgg13_bn,79.006,20.994,93.655,6.345,133.05,224,0.875,bilinear,+7.412,+3.273,+3 -vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k,78.991,21.009,93.902,6.098,6.34,224,0.900,bicubic,+7.203,+3.074,-1 -lcnet_100.ra2_in1k,78.914,21.086,93.550,6.450,2.95,224,0.875,bicubic,+6.800,+3.172,-5 -pvt_v2_b0,78.752,21.248,93.849,6.151,3.67,224,0.900,bicubic,+8.096,+3.641,+3 -tinynet_c.in1k,78.438,21.562,93.140,6.860,2.46,184,0.875,bicubic,+7.206,+3.392,0 -gluon_resnet18_v1b,78.372,21.628,93.136,6.864,11.69,224,0.875,bicubic,+7.536,+3.376,0 -mobilevitv2_050,78.118,21.882,93.573,6.426,1.37,256,0.888,bicubic,+7.978,+3.647,+3 -vgg11_bn,77.926,22.074,93.230,6.770,132.87,224,0.875,bilinear,+7.566,+3.428,0 -xcit_nano_12_p16_224,77.900,22.100,93.430,6.570,3.05,224,1.000,bicubic,+7.946,+3.676,+2 -regnety_002,77.405,22.595,92.914,7.086,3.16,224,0.875,bicubic,+7.153,+3.374,-1 -mixer_l16_224,77.285,22.715,90.582,9.418,208.20,224,0.875,bicubic,+5.227,+2.914,-12 -resnet18,77.276,22.724,92.756,7.244,11.69,224,0.875,bilinear,+7.528,+3.678,+1 -vgg13,77.230,22.770,92.689,7.311,133.05,224,0.875,bilinear,+7.303,+3.444,-1 -mobilevit_xxs,76.595,23.405,92.685,7.315,1.27,256,0.900,bicubic,+7.683,+3.747,+1 -vgg11,76.384,23.616,92.154,7.846,132.86,224,0.875,bilinear,+7.360,+3.526,-1 -resnet10t,76.215,23.785,92.224,7.776,5.44,224,0.950,bilinear,+7.921,+4.146,+2 -regnetx_002,76.124,23.876,92.211,7.789,2.68,224,0.875,bicubic,+7.362,+3.655,0 -lcnet_075.ra2_in1k,76.053,23.947,92.066,7.934,2.36,224,0.875,bicubic,+7.235,+3.696,-2 -dla60x_c,75.637,24.363,92.177,7.823,1.32,224,0.875,bilinear,+7.745,+3.751,+1 -mobilenetv3_small_100.lamb_in1k,74.911,25.089,91.498,8.502,2.54,224,0.875,bicubic,+7.259,+3.862,+1 -tf_mobilenetv3_small_100.in1k,74.717,25.283,91.257,8.743,2.54,224,0.875,bilinear,+6.795,+3.593,-2 -tinynet_d.in1k,74.285,25.715,90.924,9.076,2.34,152,0.875,bicubic,+7.323,+3.858,0 -mnasnet_small.lamb_in1k,73.816,26.184,90.732,9.268,2.03,224,0.875,bicubic,+7.610,+4.224,0 -dla46x_c,73.647,26.353,91.095,8.905,1.07,224,0.875,bilinear,+7.677,+4.115,0 -mobilenetv2_050.lamb_in1k,73.465,26.535,90.320,9.680,1.97,224,0.875,bicubic,+7.523,+4.238,0 -tf_mobilenetv3_small_075.in1k,72.812,27.188,90.036,9.964,2.04,224,0.875,bilinear,+7.096,+3.906,0 -dla46_c,72.603,27.397,90.499,9.501,1.30,224,0.875,bilinear,+7.737,+4.207,+1 -mobilenetv3_small_075.lamb_in1k,72.330,27.670,89.666,10.334,2.04,224,0.875,bicubic,+7.084,+4.230,-1 -lcnet_050.ra2_in1k,70.400,29.601,88.823,11.177,1.88,224,0.875,bicubic,+7.300,+4.443,0 -tf_mobilenetv3_small_minimal_100.in1k,70.111,29.889,88.505,11.495,2.04,224,0.875,bilinear,+7.205,+4.275,0 -tinynet_e.in1k,66.810,33.190,86.274,13.726,2.04,106,0.875,bicubic,+6.954,+4.512,0 -mobilenetv3_small_050.lamb_in1k,64.669,35.331,84.865,15.136,1.59,224,0.875,bicubic,+6.779,+4.671,0 +eva02_large_patch14_448.mim_m38m_ft_in22k_in1k,91.129,8.871,98.713,1.287,305.08,448,1.000,bicubic,+1.077,-0.335,0 +eva_giant_patch14_336.clip_ft_in1k,91.058,8.942,98.602,1.399,"1,013.01",336,1.000,bicubic,+1.592,-0.224,+5 +eva02_large_patch14_448.mim_in22k_ft_in22k_in1k,91.020,8.980,98.685,1.315,305.08,448,1.000,bicubic,+1.054,-0.327,-1 +eva_giant_patch14_560.m30m_ft_in22k_in1k,90.969,9.031,98.672,1.328,"1,014.45",560,1.000,bicubic,+1.183,-0.320,-1 +eva02_large_patch14_448.mim_in22k_ft_in1k,90.922,9.078,98.683,1.317,305.08,448,1.000,bicubic,+1.298,-0.267,-1 +eva_giant_patch14_336.m30m_ft_in22k_in1k,90.907,9.093,98.661,1.339,"1,013.01",336,1.000,bicubic,+1.341,-0.291,0 +eva_large_patch14_336.in22k_ft_in1k,90.903,9.098,98.785,1.215,304.53,336,1.000,bicubic,+2.233,+0.063,+6 +eva_giant_patch14_224.clip_ft_in1k,90.900,9.100,98.680,1.319,"1,012.56",224,0.900,bicubic,+2.020,+0.000,+1 +eva02_base_patch14_448.mim_in22k_ft_in22k_in1k,90.896,9.104,98.802,1.198,87.12,448,1.000,bicubic,+2.204,+0.078,+2 +eva02_large_patch14_448.mim_m38m_ft_in1k,90.888,9.113,98.653,1.347,305.08,448,1.000,bicubic,+1.318,-0.269,-5 +eva_large_patch14_336.in22k_ft_in22k_in1k,90.862,9.138,98.715,1.285,304.53,336,1.000,bicubic,+1.654,-0.139,-3 +eva02_base_patch14_448.mim_in22k_ft_in1k,90.800,9.200,98.742,1.258,87.12,448,1.000,bicubic,+2.550,+0.178,+14 +caformer_b36.sail_in22k_ft_in1k_384,90.781,9.219,98.860,1.140,98.75,384,1.000,bicubic,+2.723,+0.278,+21 +beit_large_patch16_512.in22k_ft_in22k_in1k,90.687,9.313,98.753,1.247,305.67,512,1.000,bicubic,+2.091,+0.097,+1 +convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384,90.678,9.322,98.813,1.187,200.13,384,1.000,bicubic,+2.372,+0.231,+8 +regnety_1280.swag_ft_in1k,90.659,9.341,98.819,1.181,644.81,384,1.000,bicubic,+2.429,+0.133,+12 +convnext_xxlarge.clip_laion2b_soup_ft_in1k,90.642,9.358,98.806,1.194,846.47,256,1.000,bicubic,+2.038,+0.099,-3 +convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384,90.633,9.367,98.755,1.245,200.13,384,1.000,bicubic,+2.785,+0.309,+24 +volo_d5_512.sail_in1k,90.614,9.386,98.698,1.302,296.09,512,1.150,bicubic,+3.556,+0.728,+48 +beit_large_patch16_384.in22k_ft_in22k_in1k,90.606,9.394,98.766,1.234,305.00,384,1.000,bicubic,+2.204,+0.158,-1 +maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k,90.584,9.416,98.617,1.383,116.14,384,1.000,bicubic,+2.756,+0.245,+22 +volo_d5_448.sail_in1k,90.580,9.420,98.685,1.315,295.91,448,1.150,bicubic,+3.628,+0.747,+52 +tf_efficientnet_l2.ns_jft_in1k,90.561,9.439,98.775,1.226,480.31,800,0.960,bicubic,+2.209,+0.127,-2 +maxvit_base_tf_512.in21k_ft_in1k,90.559,9.441,98.702,1.298,119.88,512,1.000,bicubic,+2.341,+0.174,+6 +eva_large_patch14_196.in22k_ft_in22k_in1k,90.555,9.445,98.698,1.302,304.14,196,1.000,bicubic,+1.979,+0.040,-8 +vit_large_patch14_clip_336.openai_ft_in12k_in1k,90.544,9.456,98.687,1.313,304.53,336,1.000,bicubic,+2.276,+0.161,-2 +convnextv2_huge.fcmae_ft_in22k_in1k_512,90.542,9.458,98.710,1.290,660.29,512,1.000,bicubic,+1.684,-0.038,-17 +convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320,90.540,9.460,98.806,1.194,200.13,320,1.000,bicubic,+2.582,+0.331,+8 +tf_efficientnet_l2.ns_jft_in1k_475,90.537,9.463,98.710,1.290,480.31,475,0.936,bicubic,+2.303,+0.164,-2 +eva_large_patch14_196.in22k_ft_in1k,90.533,9.467,98.772,1.228,304.14,196,1.000,bicubic,+2.599,+0.274,+7 +volo_d4_448.sail_in1k,90.512,9.488,98.591,1.409,193.41,448,1.150,bicubic,+3.720,+0.707,+52 +vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,90.501,9.499,98.631,1.369,632.46,336,1.000,bicubic,+1.909,-0.031,-16 +maxvit_xlarge_tf_512.in21k_ft_in1k,90.499,9.501,98.576,1.424,475.77,512,1.000,bicubic,+1.961,-0.068,-15 +convnextv2_huge.fcmae_ft_in22k_in1k_384,90.497,9.503,98.695,1.304,660.29,384,1.000,bicubic,+1.827,-0.043,-22 +convnext_xlarge.fb_in22k_ft_in1k_384,90.495,9.505,98.768,1.232,350.20,384,1.000,bicubic,+2.743,+0.212,+9 +caformer_m36.sail_in22k_ft_in1k_384,90.458,9.542,98.668,1.332,56.20,384,1.000,bicubic,+3.008,+0.360,+18 +convformer_b36.sail_in22k_ft_in1k_384,90.448,9.552,98.772,1.228,99.88,384,1.000,bicubic,+2.846,+0.338,+10 +maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k,90.444,9.556,98.749,1.251,116.09,384,1.000,bicubic,+2.980,+0.375,+14 +caformer_b36.sail_in22k_ft_in1k,90.431,9.569,98.764,1.236,98.75,224,1.000,bicubic,+3.009,+0.438,+16 +vit_large_patch14_clip_336.laion2b_ft_in12k_in1k,90.428,9.572,98.640,1.360,304.53,336,1.000,bicubic,+2.251,+0.070,-8 +vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k,90.418,9.582,98.644,1.356,632.05,224,1.000,bicubic,+2.162,+0.092,-16 +swinv2_base_window12to24_192to384.ms_in22k_ft_in1k,90.407,9.593,98.734,1.266,87.92,384,1.000,bicubic,+3.311,+0.500,+23 +vit_large_patch14_clip_224.openai_ft_in12k_in1k,90.379,9.621,98.659,1.341,304.20,224,1.000,bicubic,+2.203,+0.115,-11 +maxvit_xlarge_tf_384.in21k_ft_in1k,90.379,9.621,98.582,1.418,475.32,384,1.000,bicubic,+2.065,+0.038,-21 +coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k,90.377,9.623,98.648,1.351,73.88,384,1.000,bicubic,+2.995,+0.337,+12 +beit_base_patch16_384.in22k_ft_in22k_in1k,90.367,9.633,98.725,1.275,86.74,384,1.000,bicubic,+3.567,+0.589,+35 +convnextv2_large.fcmae_ft_in22k_in1k_384,90.367,9.633,98.663,1.337,197.96,384,1.000,bicubic,+2.169,+0.135,-16 +maxvit_large_tf_512.in21k_ft_in1k,90.362,9.638,98.642,1.358,212.33,512,1.000,bicubic,+2.136,+0.044,-19 +maxvit_base_tf_384.in21k_ft_in1k,90.360,9.640,98.683,1.317,119.65,384,1.000,bicubic,+2.438,+0.139,-12 +convnextv2_base.fcmae_ft_in22k_in1k_384,90.360,9.640,98.670,1.330,88.72,384,1.000,bicubic,+2.716,+0.254,-3 +beitv2_large_patch16_224.in1k_ft_in22k_in1k,90.354,9.646,98.587,1.413,304.43,224,0.950,bicubic,+1.960,-0.011,-31 +vit_large_patch14_clip_336.laion2b_ft_in1k,90.332,9.668,98.597,1.403,304.53,336,1.000,bicubic,+2.476,+0.229,-12 +convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384,90.330,9.670,98.770,1.230,88.59,384,1.000,bicubic,+3.196,+0.548,+10 +maxvit_large_tf_384.in21k_ft_in1k,90.315,9.685,98.687,1.313,212.03,384,1.000,bicubic,+2.329,+0.119,-19 +vit_large_patch14_clip_224.laion2b_ft_in12k_in1k,90.311,9.689,98.668,1.332,304.20,224,1.000,bicubic,+2.419,+0.258,-16 +convnext_large_mlp.clip_laion2b_augreg_ft_in1k,90.309,9.691,98.651,1.349,200.13,256,1.000,bicubic,+2.975,+0.433,+2 +vit_large_patch14_clip_224.openai_ft_in1k,90.309,9.691,98.640,1.360,304.20,224,1.000,bicubic,+2.457,+0.214,-16 +caformer_s36.sail_in22k_ft_in1k_384,90.305,9.695,98.794,1.206,39.30,384,1.000,bicubic,+3.449,+0.582,+19 +convnext_base.fb_in22k_ft_in1k_384,90.283,9.717,98.800,1.200,88.59,384,1.000,bicubic,+3.487,+0.536,+23 +convnext_large.fb_in22k_ft_in1k_384,90.279,9.721,98.659,1.341,197.77,384,1.000,bicubic,+2.807,+0.273,-9 +deit3_large_patch16_384.fb_in22k_ft_in1k,90.247,9.753,98.625,1.375,304.76,384,1.000,bicubic,+2.527,+0.113,-16 +dm_nfnet_f6.dm_in1k,90.241,9.759,98.625,1.375,438.36,576,0.956,bicubic,+3.879,+0.729,+43 +seresnextaa101d_32x8d.sw_in12k_ft_in1k_288,90.226,9.774,98.766,1.234,93.59,320,1.000,bicubic,+3.502,+0.590,+22 +deit3_huge_patch14_224.fb_in22k_ft_in1k,90.226,9.774,98.640,1.360,632.13,224,1.000,bicubic,+3.040,+0.380,-1 +regnety_320.swag_ft_in1k,90.219,9.781,98.764,1.236,145.05,384,1.000,bicubic,+3.383,+0.402,+14 +vit_base_patch16_clip_384.laion2b_ft_in1k,90.213,9.787,98.704,1.296,86.86,384,1.000,bicubic,+3.593,+0.696,+22 +vit_large_patch16_384.augreg_in21k_ft_in1k,90.213,9.787,98.661,1.339,304.72,384,1.000,bicubic,+3.129,+0.359,-1 +convformer_m36.sail_in22k_ft_in1k_384,90.204,9.796,98.651,1.349,57.05,384,1.000,bicubic,+3.312,+0.535,+8 +convnextv2_huge.fcmae_ft_in1k,90.204,9.796,98.548,1.452,660.29,288,1.000,bicubic,+3.624,+0.576,+22 +tf_efficientnetv2_l.in21k_ft_in1k,90.202,9.798,98.719,1.281,118.52,480,1.000,bicubic,+3.400,+0.583,+10 +vit_base_patch16_clip_384.openai_ft_in12k_in1k,90.200,9.800,98.651,1.349,86.86,384,0.950,bicubic,+3.176,+0.471,-2 +convformer_b36.sail_in22k_ft_in1k,90.189,9.811,98.695,1.304,99.88,224,1.000,bicubic,+3.191,+0.523,-3 +vit_base_patch16_clip_384.laion2b_ft_in12k_in1k,90.189,9.811,98.585,1.415,86.86,384,1.000,bicubic,+2.981,+0.550,-13 +cait_m48_448.fb_dist_in1k,90.189,9.811,98.484,1.516,356.46,448,1.000,bicubic,+3.697,+0.732,+25 +vit_huge_patch14_clip_224.laion2b_ft_in1k,90.181,9.819,98.544,1.456,632.05,224,1.000,bicubic,+2.593,+0.326,-27 +volo_d3_448.sail_in1k,90.174,9.826,98.550,1.450,86.63,448,1.000,bicubic,+3.674,+0.840,+20 +swinv2_large_window12to24_192to384.ms_in22k_ft_in1k,90.157,9.843,98.614,1.386,196.74,384,1.000,bicubic,+2.693,+0.364,-24 +beit_large_patch16_224.in22k_ft_in22k_in1k,90.149,9.851,98.725,1.275,304.43,224,0.900,bicubic,+2.671,+0.421,-28 +beitv2_large_patch16_224.in1k_ft_in1k,90.100,9.900,98.439,1.561,304.43,224,0.950,bicubic,+2.688,+0.205,-23 +tf_efficientnet_b7.ns_jft_in1k,90.098,9.902,98.617,1.383,66.35,600,0.949,bicubic,+3.258,+0.523,-2 +vit_large_patch14_clip_224.laion2b_ft_in1k,90.098,9.902,98.557,1.443,304.20,224,1.000,bicubic,+2.816,+0.311,-21 +convnextv2_base.fcmae_ft_in22k_in1k,90.068,9.932,98.676,1.324,88.72,288,1.000,bicubic,+3.070,+0.508,-11 +convnext_xlarge.fb_in22k_ft_in1k,90.066,9.934,98.619,1.381,350.20,288,1.000,bicubic,+2.736,+0.291,-24 +caformer_b36.sail_in1k_384,90.063,9.937,98.514,1.486,98.75,384,1.000,bicubic,+3.655,+0.700,+18 +cait_m36_384.fb_dist_in1k,90.051,9.949,98.495,1.505,271.22,384,1.000,bicubic,+3.991,+0.765,+39 +convnextv2_large.fcmae_ft_in22k_in1k,90.034,9.966,98.629,1.371,197.96,288,1.000,bicubic,+2.550,+0.273,-37 +seresnextaa101d_32x8d.sw_in12k_ft_in1k,90.029,9.971,98.685,1.315,93.59,288,1.000,bicubic,+3.545,+0.655,+11 +tf_efficientnetv2_m.in21k_ft_in1k,90.023,9.977,98.666,1.334,54.14,480,1.000,bicubic,+4.023,+0.720,+38 +convformer_s36.sail_in22k_ft_in1k_384,90.023,9.977,98.619,1.381,40.01,384,1.000,bicubic,+3.645,+0.635,+15 +swin_large_patch4_window12_384.ms_in22k_ft_in1k,90.019,9.981,98.661,1.339,196.74,384,1.000,bicubic,+2.887,+0.427,-26 +deit3_large_patch16_224.fb_in22k_ft_in1k,90.008,9.992,98.661,1.339,304.37,224,1.000,bicubic,+3.026,+0.425,-19 +convnext_base.clip_laiona_augreg_ft_in1k_384,90.001,9.998,98.548,1.452,88.59,384,1.000,bicubic,+3.499,+0.580,+3 +swin_base_patch4_window12_384.ms_in22k_ft_in1k,89.997,10.003,98.700,1.300,87.90,384,1.000,bicubic,+3.559,+0.634,+8 +vit_base_patch16_384.augreg_in21k_ft_in1k,89.989,10.011,98.678,1.322,86.86,384,1.000,bicubic,+3.993,+0.676,+34 +maxvit_base_tf_512.in1k,89.974,10.026,98.435,1.565,119.88,512,1.000,bicubic,+3.372,+0.517,-6 +caformer_m36.sail_in1k_384,89.933,10.067,98.454,1.546,56.20,384,1.000,bicubic,+3.767,+0.634,+20 +convnextv2_large.fcmae_ft_in1k,89.931,10.069,98.559,1.441,197.96,288,1.000,bicubic,+3.813,+0.737,+22 +maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k,89.927,10.073,98.414,1.586,116.14,224,0.950,bicubic,+3.033,+0.400,-23 +swinv2_large_window12to16_192to256.ms_in22k_ft_in1k,89.925,10.075,98.505,1.494,196.74,256,0.900,bicubic,+2.973,+0.400,-26 +regnety_160.swag_ft_in1k,89.918,10.082,98.646,1.354,83.59,384,1.000,bicubic,+3.908,+0.592,+26 +convnext_small.fb_in22k_ft_in1k_384,89.916,10.084,98.685,1.315,50.22,384,1.000,bicubic,+4.138,+0.795,+41 +efficientnet_b5.sw_in12k_ft_in1k,89.910,10.090,98.567,1.433,30.39,448,1.000,bicubic,+4.018,+0.831,+32 +deit3_base_patch16_384.fb_in22k_ft_in1k,89.891,10.110,98.602,1.399,86.88,384,1.000,bicubic,+3.153,+0.487,-18 +xcit_large_24_p8_384.fb_dist_in1k,89.886,10.114,98.384,1.616,188.93,384,1.000,bicubic,+3.890,+0.694,+25 +volo_d5_224.sail_in1k,89.880,10.120,98.490,1.510,295.46,224,0.960,bicubic,+3.810,+0.915,+18 +convnext_large.fb_in22k_ft_in1k,89.876,10.124,98.593,1.407,197.77,288,1.000,bicubic,+2.850,+0.389,-38 +swinv2_base_window12to16_192to256.ms_in22k_ft_in1k,89.867,10.133,98.644,1.356,87.92,256,0.900,bicubic,+3.599,+0.762,+2 +convnext_base.fb_in22k_ft_in1k,89.858,10.142,98.691,1.309,88.59,288,1.000,bicubic,+3.584,+0.599,0 +caformer_m36.sail_in22k_ft_in1k,89.854,10.146,98.585,1.415,56.20,224,1.000,bicubic,+3.260,+0.561,-19 +cait_s36_384.fb_dist_in1k,89.835,10.165,98.427,1.573,68.37,384,1.000,bicubic,+4.381,+0.949,+52 +coatnet_2_rw_224.sw_in12k_ft_in1k,89.831,10.169,98.527,1.473,73.87,224,0.950,bicubic,+3.263,+0.633,-19 +convformer_m36.sail_in22k_ft_in1k,89.818,10.182,98.548,1.452,57.05,224,1.000,bicubic,+3.672,+0.698,+6 +xcit_medium_24_p8_384.fb_dist_in1k,89.816,10.184,98.365,1.635,84.32,384,1.000,bicubic,+4.000,+0.773,+25 +convnext_base.clip_laion2b_augreg_ft_in12k_in1k,89.811,10.188,98.668,1.332,88.59,256,1.000,bicubic,+3.441,+0.684,-10 +volo_d4_224.sail_in1k,89.811,10.188,98.427,1.573,192.96,224,0.960,bicubic,+3.939,+0.955,+20 +maxvit_large_tf_512.in1k,89.799,10.201,98.330,1.670,212.33,512,1.000,bicubic,+3.273,+0.450,-23 +vit_large_r50_s32_384.augreg_in21k_ft_in1k,89.792,10.208,98.520,1.480,329.09,384,1.000,bicubic,+3.610,+0.598,-3 +volo_d2_384.sail_in1k,89.788,10.212,98.403,1.597,58.87,384,1.000,bicubic,+3.746,+0.829,+7 +swin_large_patch4_window7_224.ms_in22k_ft_in1k,89.786,10.214,98.640,1.360,196.53,224,0.900,bicubic,+3.474,+0.738,-13 +tf_efficientnet_b6.ns_jft_in1k,89.782,10.218,98.508,1.492,43.04,528,0.942,bicubic,+3.326,+0.624,-20 +coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k,89.775,10.225,98.469,1.531,73.88,224,0.950,bicubic,+3.271,+0.575,-27 +tf_efficientnetv2_xl.in21k_ft_in1k,89.771,10.229,98.288,1.712,208.12,512,1.000,bicubic,+3.023,+0.274,-38 +maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k,89.752,10.248,98.484,1.516,116.09,224,0.950,bicubic,+3.110,+0.464,-36 +beitv2_base_patch16_224.in1k_ft_in22k_in1k,89.743,10.257,98.585,1.415,86.53,224,0.900,bicubic,+3.269,+0.532,-25 +dm_nfnet_f5.dm_in1k,89.741,10.259,98.441,1.559,377.21,544,0.954,bicubic,+3.643,+0.753,-5 +dm_nfnet_f4.dm_in1k,89.737,10.263,98.409,1.591,316.07,512,0.951,bicubic,+3.901,+0.745,+10 +xcit_small_24_p8_384.fb_dist_in1k,89.735,10.265,98.420,1.580,47.63,384,1.000,bicubic,+4.181,+0.850,+28 +regnety_160.lion_in12k_ft_in1k,89.724,10.276,98.608,1.392,83.59,288,1.000,bicubic,+3.738,+0.772,+2 +caformer_s18.sail_in22k_ft_in1k_384,89.720,10.280,98.580,1.420,26.34,384,1.000,bicubic,+4.306,+0.878,+36 +vit_base_patch8_224.augreg2_in21k_ft_in1k,89.718,10.283,98.510,1.490,86.58,224,0.900,bicubic,+3.499,+0.678,-20 +convformer_m36.sail_in1k_384,89.718,10.283,98.435,1.565,57.05,384,1.000,bicubic,+4.138,+0.893,+24 +vit_base_patch16_clip_384.openai_ft_in1k,89.707,10.293,98.508,1.492,86.86,384,1.000,bicubic,+3.503,+0.634,-20 +caformer_s36.sail_in22k_ft_in1k,89.701,10.300,98.638,1.362,39.30,224,1.000,bicubic,+3.909,+0.814,+8 +volo_d1_384.sail_in1k,89.698,10.302,98.290,1.710,26.78,384,1.000,bicubic,+4.454,+1.096,+45 +deit3_large_patch16_384.fb_in1k,89.688,10.312,98.390,1.610,304.76,384,1.000,bicubic,+3.876,+0.792,+4 +caformer_s36.sail_in1k_384,89.679,10.321,98.324,1.676,39.30,384,1.000,bicubic,+3.939,+0.652,+10 +xcit_large_24_p16_384.fb_dist_in1k,89.662,10.338,98.403,1.597,189.10,384,1.000,bicubic,+3.908,+0.865,+7 +convformer_b36.sail_in1k_384,89.658,10.342,98.379,1.621,99.88,384,1.000,bicubic,+3.916,+0.855,+7 +tf_efficientnet_b5.ns_jft_in1k,89.651,10.349,98.482,1.518,30.39,456,0.934,bicubic,+3.563,+0.728,-18 +dm_nfnet_f3.dm_in1k,89.647,10.353,98.463,1.537,254.92,416,0.940,bicubic,+3.961,+0.893,+9 +convnext_base.clip_laion2b_augreg_ft_in1k,89.645,10.355,98.463,1.537,88.59,256,1.000,bicubic,+3.487,+0.783,-24 +regnety_2560.seer_ft_in1k,89.632,10.368,98.399,1.601,"1,282.60",384,1.000,bicubic,+4.480,+0.963,+47 +convnext_small.in12k_ft_in1k_384,89.598,10.402,98.480,1.520,50.22,384,1.000,bicubic,+3.416,+0.558,-30 +maxvit_base_tf_384.in1k,89.589,10.411,98.320,1.680,119.65,384,1.000,bicubic,+3.287,+0.522,-37 +tf_efficientnet_b8.ap_in1k,89.579,10.421,98.305,1.695,87.41,672,0.954,bicubic,+4.215,+1.013,+28 +regnety_160.sw_in12k_ft_in1k,89.570,10.430,98.546,1.454,83.59,288,1.000,bicubic,+3.584,+0.712,-15 +vit_base_patch16_clip_224.laion2b_ft_in12k_in1k,89.564,10.436,98.418,1.582,86.57,224,0.950,bicubic,+3.390,+0.662,-32 +maxvit_tiny_tf_512.in1k,89.562,10.438,98.335,1.665,31.05,512,1.000,bicubic,+3.898,+0.751,+2 +convformer_s18.sail_in22k_ft_in1k_384,89.553,10.447,98.531,1.469,26.77,384,1.000,bicubic,+4.555,+0.961,+55 +volo_d3_224.sail_in1k,89.553,10.447,98.373,1.627,86.33,224,0.960,bicubic,+4.139,+1.097,+16 +maxvit_large_tf_384.in1k,89.553,10.447,98.183,1.817,212.03,384,1.000,bicubic,+3.325,+0.493,-40 +tf_efficientnetv2_l.in1k,89.540,10.460,98.339,1.661,118.52,480,1.000,bicubic,+3.876,+0.865,-1 +flexivit_large.1200ep_in1k,89.534,10.466,98.414,1.586,304.36,240,0.950,bicubic,+3.888,+0.872,-1 +xcit_large_24_p8_224.fb_dist_in1k,89.517,10.483,98.217,1.783,188.93,224,1.000,bicubic,+4.115,+0.815,+14 +flexivit_large.600ep_in1k,89.508,10.492,98.392,1.608,304.36,240,0.950,bicubic,+3.970,+0.904,+2 +xcit_small_12_p8_384.fb_dist_in1k,89.508,10.492,98.307,1.693,26.21,384,1.000,bicubic,+4.430,+1.025,+41 +cait_s24_384.fb_dist_in1k,89.504,10.496,98.362,1.638,47.06,384,1.000,bicubic,+4.456,+1.016,+43 +convformer_s36.sail_in22k_ft_in1k,89.496,10.505,98.454,1.546,40.01,224,1.000,bicubic,+4.082,+0.886,+8 +convnextv2_tiny.fcmae_ft_in22k_in1k_384,89.485,10.515,98.484,1.516,28.64,384,1.000,bicubic,+4.379,+0.856,+33 +convformer_s36.sail_in1k_384,89.481,10.520,98.369,1.631,40.01,384,1.000,bicubic,+4.103,+0.893,+10 +xcit_medium_24_p16_384.fb_dist_in1k,89.481,10.520,98.296,1.704,84.40,384,1.000,bicubic,+4.059,+0.890,+3 +convnext_tiny.in12k_ft_in1k_384,89.472,10.528,98.505,1.494,28.59,384,1.000,bicubic,+4.350,+0.900,+28 +deit3_base_patch16_224.fb_in22k_ft_in1k,89.446,10.554,98.557,1.443,86.59,224,1.000,bicubic,+3.746,+0.811,-15 +vit_base_patch16_224.augreg2_in21k_ft_in1k,89.444,10.556,98.441,1.559,86.57,224,0.900,bicubic,+4.348,+0.911,+31 +maxvit_small_tf_512.in1k,89.442,10.558,98.356,1.644,69.13,512,1.000,bicubic,+3.360,+0.592,-43 +vit_base_patch32_clip_448.laion2b_ft_in12k_in1k,89.440,10.560,98.403,1.597,88.34,448,1.000,bicubic,+3.662,+0.765,-23 +regnety_120.sw_in12k_ft_in1k,89.436,10.564,98.537,1.462,51.82,288,1.000,bicubic,+4.036,+0.956,+2 +vit_base_patch8_224.augreg_in21k_ft_in1k,89.436,10.564,98.484,1.516,86.58,224,0.900,bicubic,+3.638,+0.694,-28 +deit_base_distilled_patch16_384.fb_in1k,89.434,10.566,98.439,1.561,87.63,384,1.000,bicubic,+4.008,+1.109,-6 +tf_efficientnet_b7.ap_in1k,89.429,10.571,98.345,1.655,66.35,600,0.949,bicubic,+4.307,+1.093,+21 +vit_base_patch16_clip_224.laion2b_ft_in1k,89.427,10.573,98.469,1.531,86.57,224,1.000,bicubic,+3.961,+0.895,-10 +convnextv2_base.fcmae_ft_in1k,89.421,10.579,98.360,1.640,88.72,288,1.000,bicubic,+3.947,+0.976,-12 +caformer_b36.sail_in1k,89.410,10.590,98.222,1.778,98.75,224,1.000,bicubic,+3.904,+0.912,-14 +vit_base_patch16_clip_224.openai_ft_in12k_in1k,89.401,10.598,98.394,1.606,86.57,224,0.950,bicubic,+3.462,+0.666,-42 +hrnet_w48_ssld.paddle_in1k,89.401,10.598,98.379,1.621,77.47,288,1.000,bilinear,+4.924,+1.145,+68 +beit_base_patch16_224.in22k_ft_in22k_in1k,89.395,10.605,98.529,1.471,86.53,224,0.900,bicubic,+4.183,+0.871,+8 +regnetz_e8.ra3_in1k,89.378,10.622,98.459,1.542,57.70,320,1.000,bicubic,+4.342,+1.186,+24 +deit3_small_patch16_384.fb_in22k_ft_in1k,89.363,10.637,98.382,1.618,22.21,384,1.000,bicubic,+4.539,+0.894,+38 +vit_medium_patch16_gap_384.sw_in12k_ft_in1k,89.348,10.652,98.490,1.510,39.03,384,0.950,bicubic,+3.816,+0.852,-23 +tf_efficientnetv2_m.in1k,89.348,10.652,98.326,1.674,54.14,480,1.000,bicubic,+4.144,+0.962,+5 +tf_efficientnet_b8.ra_in1k,89.348,10.652,98.305,1.695,87.41,672,0.954,bicubic,+3.980,+0.911,-8 +tf_efficientnet_b6.ap_in1k,89.344,10.656,98.283,1.717,43.04,528,0.942,bicubic,+4.558,+1.147,+37 +volo_d2_224.sail_in1k,89.335,10.665,98.213,1.787,58.68,224,0.960,bicubic,+4.133,+1.023,+3 +caformer_s18.sail_in1k_384,89.331,10.669,98.294,1.706,26.34,384,1.000,bicubic,+4.305,+0.936,+18 +eva02_small_patch14_336.mim_in22k_ft_in1k,89.327,10.673,98.379,1.621,22.13,336,1.000,bicubic,+3.611,+0.747,-38 +vit_large_patch16_224.augreg_in21k_ft_in1k,89.318,10.682,98.394,1.606,304.33,224,0.900,bicubic,+3.484,+0.576,-49 +flexivit_large.300ep_in1k,89.305,10.694,98.324,1.676,304.36,240,0.950,bicubic,+4.015,+0.924,-11 +tf_efficientnet_b4.ns_jft_in1k,89.301,10.699,98.343,1.657,19.34,380,0.922,bicubic,+4.139,+0.873,0 +convnext_small.fb_in22k_ft_in1k,89.299,10.701,98.358,1.642,50.22,288,1.000,bicubic,+4.037,+0.676,-11 +xcit_small_24_p16_384.fb_dist_in1k,89.295,10.705,98.326,1.674,47.67,384,1.000,bicubic,+4.205,+1.014,+6 +xcit_medium_24_p8_224.fb_dist_in1k,89.293,10.707,98.185,1.815,84.32,224,1.000,bicubic,+4.219,+0.911,+7 +beitv2_base_patch16_224.in1k_ft_in1k,89.271,10.729,98.262,1.738,86.53,224,0.900,bicubic,+3.677,+0.756,-39 +deit3_huge_patch14_224.fb_in1k,89.218,10.782,98.164,1.836,632.13,224,0.900,bicubic,+3.994,+0.804,-11 +coat_lite_medium_384.in1k,89.209,10.791,98.219,1.781,44.57,384,1.000,bicubic,+4.331,+0.847,+18 +xcit_small_24_p8_224.fb_dist_in1k,89.199,10.801,98.243,1.757,47.63,224,1.000,bicubic,+4.331,+1.053,+18 +xcit_small_12_p16_384.fb_dist_in1k,89.197,10.803,98.217,1.783,26.25,384,1.000,bicubic,+4.485,+1.099,+26 +vit_base_patch32_clip_384.laion2b_ft_in12k_in1k,89.194,10.806,98.356,1.644,88.30,384,1.000,bicubic,+3.828,+0.700,-25 +dm_nfnet_f2.dm_in1k,89.192,10.808,98.228,1.772,193.78,352,0.920,bicubic,+3.998,+0.882,-11 +swin_base_patch4_window7_224.ms_in22k_ft_in1k,89.173,10.827,98.433,1.567,87.77,224,0.900,bicubic,+3.901,+0.869,-22 +vit_base_patch16_clip_224.openai_ft_in1k,89.167,10.833,98.269,1.732,86.57,224,0.900,bicubic,+3.875,+0.831,-25 +eca_nfnet_l2.ra3_in1k,89.147,10.852,98.315,1.685,56.72,384,1.000,bicubic,+4.445,+1.133,+21 +cait_xs24_384.fb_dist_in1k,89.147,10.852,98.292,1.708,26.67,384,1.000,bicubic,+5.085,+1.408,+83 +convformer_s18.sail_in1k_384,89.124,10.876,98.127,1.873,26.77,384,1.000,bicubic,+4.722,+1.016,+55 +maxvit_tiny_tf_384.in1k,89.109,10.891,98.211,1.789,30.98,384,1.000,bicubic,+4.009,+0.833,-12 +maxvit_small_tf_384.in1k,89.109,10.891,98.164,1.836,69.02,384,1.000,bicubic,+3.569,+0.702,-48 +resnext101_32x32d.fb_wsl_ig1b_ft_in1k,89.107,10.893,98.189,1.810,468.53,224,0.875,bilinear,+4.009,+0.751,-12 +tf_efficientnet_b7.ra_in1k,89.083,10.917,98.185,1.815,66.35,600,0.949,bicubic,+4.151,+0.977,+1 +ecaresnet269d.ra2_in1k,89.073,10.927,98.234,1.766,102.09,352,1.000,bicubic,+4.107,+1.012,-2 +regnety_1280.seer_ft_in1k,89.064,10.936,98.157,1.843,644.81,384,1.000,bicubic,+4.632,+1.065,+41 +vit_base_patch32_clip_384.openai_ft_in12k_in1k,89.051,10.949,98.279,1.721,88.30,384,0.950,bicubic,+3.835,+0.873,-27 +xcit_large_24_p16_224.fb_dist_in1k,89.045,10.955,98.059,1.941,189.10,224,1.000,bicubic,+4.129,+0.929,-1 +convnext_small.in12k_ft_in1k,89.024,10.976,98.243,1.757,50.22,288,1.000,bicubic,+3.694,+0.697,-38 +dm_nfnet_f1.dm_in1k,89.019,10.981,98.254,1.746,132.63,320,0.910,bicubic,+4.317,+0.987,+11 +resmlp_big_24_224.fb_in22k_ft_in1k,89.019,10.981,98.215,1.785,129.14,224,0.875,bicubic,+4.621,+1.103,+45 +xcit_small_12_p8_224.fb_dist_in1k,89.011,10.989,98.076,1.924,26.21,224,1.000,bicubic,+4.775,+1.204,+56 +convnext_large.fb_in1k,88.994,11.006,98.040,1.960,197.77,288,1.000,bicubic,+4.148,+0.826,-1 +caformer_m36.sail_in1k,88.990,11.011,98.016,1.984,56.20,224,1.000,bicubic,+3.758,+0.816,-36 +efficientnetv2_rw_m.agc_in1k,88.987,11.013,98.217,1.783,53.24,416,1.000,bicubic,+4.175,+1.067,0 +regnety_1280.swag_lc_in1k,88.951,11.049,98.230,1.770,644.81,224,0.965,bicubic,+2.969,+0.380,-87 +regnetz_d8_evos.ch_in1k,88.951,11.049,98.181,1.819,23.46,320,1.000,bicubic,+4.825,+1.169,+59 +regnetz_040_h.ra3_in1k,88.949,11.051,98.209,1.791,28.94,320,1.000,bicubic,+4.457,+1.451,+19 +edgenext_base.in21k_ft_in1k,88.942,11.057,98.279,1.721,18.51,320,1.000,bicubic,+4.888,+1.083,+65 +tf_efficientnet_b5.ap_in1k,88.940,11.060,98.164,1.836,30.39,456,0.934,bicubic,+4.682,+1.190,+44 +mvitv2_large.fb_in1k,88.936,11.064,97.965,2.035,217.99,224,0.900,bicubic,+3.692,+0.751,-44 +caformer_s18.sail_in22k_ft_in1k,88.932,11.068,98.311,1.689,26.34,224,1.000,bicubic,+4.856,+1.113,+58 +deit3_base_patch16_384.fb_in1k,88.923,11.077,98.042,1.958,86.88,384,1.000,bicubic,+3.851,+0.790,-27 +deit3_medium_patch16_224.fb_in22k_ft_in1k,88.921,11.079,98.294,1.706,38.85,224,1.000,bicubic,+4.369,+1.106,+4 +volo_d1_224.sail_in1k,88.915,11.085,98.027,1.973,26.63,224,0.960,bicubic,+4.753,+1.251,+50 +convnext_tiny.in12k_ft_in1k,88.906,11.094,98.309,1.691,28.59,288,1.000,bicubic,+4.456,+0.969,+15 +tf_efficientnetv2_s.in21k_ft_in1k,88.898,11.102,98.277,1.723,21.46,384,1.000,bicubic,+4.610,+1.025,+34 +vit_base_patch16_224.augreg_in21k_ft_in1k,88.870,11.130,98.230,1.770,86.57,224,0.900,bicubic,+4.338,+0.938,+3 +convnext_tiny.fb_in22k_ft_in1k_384,88.855,11.145,98.296,1.704,28.59,384,1.000,bicubic,+4.767,+1.152,+50 +regnetz_d8.ra3_in1k,88.853,11.147,98.189,1.810,23.37,320,1.000,bicubic,+4.799,+1.194,+55 +convformer_b36.sail_in1k,88.851,11.149,97.878,2.122,99.88,224,1.000,bicubic,+4.033,+0.932,-17 +coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k,88.842,11.158,97.869,2.131,41.72,224,0.950,bicubic,+3.932,+0.911,-24 +resnetrs420.tf_in1k,88.838,11.162,98.031,1.968,191.89,416,1.000,bicubic,+3.832,+0.907,-33 +resnext101_32x16d.fb_wsl_ig1b_ft_in1k,88.834,11.166,98.051,1.949,194.03,224,0.875,bilinear,+4.668,+0.853,+40 +resnetrs270.tf_in1k,88.829,11.171,98.136,1.864,129.86,352,1.000,bicubic,+4.401,+1.168,+14 +vit_small_r26_s32_384.augreg_in21k_ft_in1k,88.817,11.184,98.343,1.657,36.47,384,1.000,bicubic,+4.769,+1.015,+49 +swin_small_patch4_window7_224.ms_in22k_ft_in1k,88.817,11.184,98.328,1.672,49.61,224,0.900,bicubic,+5.519,+1.364,+122 +vit_base_r50_s16_384.orig_in21k_ft_in1k,88.806,11.194,98.232,1.768,98.95,384,1.000,bicubic,+3.830,+0.942,-36 +xcit_medium_24_p16_224.fb_dist_in1k,88.806,11.194,98.038,1.962,84.40,224,1.000,bicubic,+4.520,+1.106,+23 +tf_efficientnet_b7.aa_in1k,88.804,11.196,98.057,1.943,66.35,600,0.949,bicubic,+4.390,+1.151,+13 +maxxvit_rmlp_small_rw_256.sw_in1k,88.795,11.205,98.064,1.937,66.01,256,0.950,bicubic,+4.171,+0.996,-17 +seresnet152d.ra2_in1k,88.787,11.213,98.172,1.828,66.84,320,1.000,bicubic,+4.427,+1.132,+15 +xcit_tiny_24_p8_384.fb_dist_in1k,88.787,11.213,98.155,1.845,12.11,384,1.000,bicubic,+5.041,+1.445,+71 +convformer_m36.sail_in1k,88.787,11.213,97.767,2.233,57.05,224,1.000,bicubic,+4.293,+0.901,-6 +resnext101_32x8d.fb_swsl_ig1b_ft_in1k,88.782,11.218,98.151,1.849,88.79,224,0.875,bilinear,+4.480,+0.975,+15 +resnetrs200.tf_in1k,88.763,11.237,98.115,1.885,93.21,320,1.000,bicubic,+4.319,+1.033,-3 +convnext_base.fb_in1k,88.763,11.237,97.920,2.080,88.59,288,1.000,bicubic,+4.335,+0.952,+2 +deit3_large_patch16_224.fb_in1k,88.763,11.237,97.920,2.080,304.37,224,0.900,bicubic,+3.987,+0.882,-30 +tf_efficientnet_b6.aa_in1k,88.759,11.241,98.066,1.934,43.04,528,0.942,bicubic,+4.643,+1.186,+29 +resnetrs350.tf_in1k,88.757,11.243,98.031,1.968,163.96,384,1.000,bicubic,+4.043,+1.039,-32 +rexnetr_300.sw_in12k_ft_in1k,88.746,11.254,98.339,1.661,34.81,288,1.000,bicubic,+4.202,+1.083,-22 +caformer_s36.sail_in1k,88.746,11.254,98.023,1.977,39.30,224,1.000,bicubic,+4.238,+1.027,-16 +convnextv2_tiny.fcmae_ft_in22k_in1k,88.744,11.256,98.194,1.806,28.64,288,1.000,bicubic,+4.328,+0.934,-1 +vit_base_patch16_224_miil.in21k_ft_in1k,88.740,11.260,98.025,1.975,86.54,224,0.875,bilinear,+4.474,+1.221,+9 +edgenext_base.usi_in1k,88.735,11.265,98.147,1.853,18.51,320,1.000,bicubic,+4.777,+1.377,+36 +regnetz_040.ra3_in1k,88.731,11.269,98.091,1.909,27.12,320,1.000,bicubic,+4.491,+1.159,+11 +convformer_s18.sail_in22k_ft_in1k,88.727,11.273,98.194,1.806,26.77,224,1.000,bicubic,+4.989,+1.146,+60 +resnetv2_152x2_bit.goog_in21k_ft_in1k,88.725,11.275,98.311,1.689,236.34,448,1.000,bilinear,+4.215,+1.319,-25 +regnety_160.deit_in1k,88.703,11.297,98.068,1.932,83.59,288,1.000,bicubic,+5.013,+1.286,+64 +davit_base.msft_in1k,88.701,11.299,97.874,2.127,87.95,224,0.950,bicubic,+4.059,+0.854,-37 +regnety_640.seer_ft_in1k,88.674,11.326,98.166,1.834,281.38,384,1.000,bicubic,+4.766,+1.244,+33 +vit_small_patch16_384.augreg_in21k_ft_in1k,88.652,11.348,98.230,1.770,22.20,384,1.000,bicubic,+4.850,+1.132,+45 +regnetz_d32.ra3_in1k,88.652,11.348,98.078,1.922,27.58,320,0.950,bicubic,+4.630,+1.210,+25 +flexivit_base.1200ep_in1k,88.648,11.352,97.935,2.065,86.59,240,0.950,bicubic,+3.970,+0.939,-42 +mvitv2_base.fb_in1k,88.644,11.356,97.826,2.174,51.47,224,0.900,bicubic,+4.194,+0.968,-23 +regnety_080.ra3_in1k,88.635,11.365,97.965,2.035,39.18,288,1.000,bicubic,+4.709,+1.075,+26 +vit_medium_patch16_gap_256.sw_in12k_ft_in1k,88.633,11.367,98.189,1.810,38.86,256,0.950,bicubic,+4.187,+1.346,-24 +davit_small.msft_in1k,88.631,11.369,97.953,2.047,49.75,224,0.950,bicubic,+4.379,+1.013,-3 +eca_nfnet_l1.ra2_in1k,88.624,11.376,98.132,1.868,41.41,320,1.000,bicubic,+4.614,+1.106,+20 +swinv2_base_window16_256.ms_in1k,88.586,11.414,97.908,2.092,87.92,256,0.900,bicubic,+3.986,+0.818,-44 +maxvit_base_tf_224.in1k,88.584,11.416,97.848,2.152,119.47,224,0.950,bicubic,+3.724,+0.860,-60 +regnety_320.seer_ft_in1k,88.573,11.427,98.106,1.894,145.05,384,1.000,bicubic,+5.239,+1.400,+83 +resnetaa101d.sw_in12k_ft_in1k,88.573,11.427,98.076,1.924,44.57,288,1.000,bicubic,+4.449,+0.970,+4 +resnetv2_152x4_bit.goog_in21k_ft_in1k,88.554,11.446,98.192,1.808,936.53,480,1.000,bilinear,+3.638,+0.754,-69 +resnet200d.ra2_in1k,88.554,11.446,97.961,2.039,64.69,320,1.000,bicubic,+4.590,+1.137,+16 +xcit_small_24_p16_224.fb_dist_in1k,88.545,11.455,98.004,1.996,47.67,224,1.000,bicubic,+4.671,+1.268,+21 +flexivit_base.600ep_in1k,88.545,11.455,97.933,2.067,86.59,240,0.950,bicubic,+4.023,+0.997,-44 +seresnextaa101d_32x8d.ah_in1k,88.537,11.463,98.002,1.998,93.59,288,1.000,bicubic,+3.971,+0.926,-51 +maxvit_rmlp_small_rw_224.sw_in1k,88.522,11.478,97.773,2.227,64.90,224,0.900,bicubic,+4.030,+0.763,-41 +resnest269e.in1k,88.520,11.480,98.027,1.973,110.93,416,0.928,bicubic,+4.010,+0.593,-46 +coatnet_rmlp_2_rw_224.sw_in1k,88.513,11.487,97.566,2.434,73.88,224,0.950,bicubic,+3.907,+0.826,-56 +efficientformerv2_l.snap_dist_in1k,88.507,11.493,97.961,2.039,26.32,224,0.950,bicubic,+4.875,+1.401,+46 +gcvit_base.in1k,88.501,11.499,97.769,2.231,90.32,224,0.875,bicubic,+4.055,+0.561,-39 +swinv2_base_window8_256.ms_in1k,88.498,11.502,97.891,2.109,87.92,256,0.900,bicubic,+4.248,+0.967,-18 +seresnext101_32x8d.ah_in1k,88.494,11.506,97.884,2.116,93.57,288,1.000,bicubic,+4.308,+1.010,-12 +convformer_s36.sail_in1k,88.486,11.514,97.763,2.237,40.01,224,1.000,bicubic,+4.426,+1.017,-4 +crossvit_18_dagger_408.in1k,88.479,11.521,97.895,2.105,44.61,408,1.000,bicubic,+4.281,+1.079,-15 +flexivit_base.300ep_in1k,88.479,11.521,97.846,2.154,86.59,240,0.950,bicubic,+4.073,+0.960,-34 +efficientnetv2_rw_s.ra2_in1k,88.475,11.525,97.978,2.022,23.94,384,1.000,bicubic,+4.667,+1.246,+18 +resnetv2_101x3_bit.goog_in21k_ft_in1k,88.466,11.534,98.157,1.843,387.93,448,1.000,bilinear,+4.028,+0.775,-44 +maxvit_large_tf_224.in1k,88.460,11.540,97.809,2.191,211.79,224,0.950,bicubic,+3.518,+0.839,-87 +maxvit_small_tf_224.in1k,88.454,11.546,97.880,2.120,68.93,224,0.950,bicubic,+4.028,+1.056,-42 +resnetv2_50x3_bit.goog_in21k_ft_in1k,88.447,11.553,98.200,1.800,217.32,448,1.000,bilinear,+4.427,+1.074,-5 +cait_s24_224.fb_dist_in1k,88.443,11.557,97.961,2.039,46.92,224,1.000,bicubic,+5.001,+1.387,+47 +resmlp_big_24_224.fb_distilled_in1k,88.441,11.559,97.938,2.062,129.14,224,0.875,bicubic,+4.849,+1.287,+37 +regnetv_064.ra3_in1k,88.439,11.561,98.061,1.939,30.58,288,1.000,bicubic,+4.723,+1.317,+23 +resnest200e.in1k,88.434,11.566,98.040,1.960,70.20,320,0.909,bicubic,+4.588,+1.156,+3 +vit_large_r50_s32_224.augreg_in21k_ft_in1k,88.430,11.570,98.081,1.919,328.99,224,0.900,bicubic,+4.008,+0.911,-47 +tf_efficientnet_b3.ns_jft_in1k,88.428,11.572,98.031,1.968,12.23,300,0.904,bicubic,+4.372,+1.113,-17 +seresnext101d_32x8d.ah_in1k,88.428,11.572,97.961,2.039,93.59,288,1.000,bicubic,+4.070,+1.041,-40 +swin_base_patch4_window12_384.ms_in1k,88.426,11.574,97.803,2.197,87.90,384,1.000,bicubic,+3.950,+0.911,-61 +tf_efficientnetv2_s.in1k,88.409,11.591,97.927,2.073,21.46,384,1.000,bicubic,+4.509,+1.229,-7 +convnext_small.fb_in1k,88.407,11.593,98.012,1.988,50.22,288,1.000,bicubic,+4.707,+1.204,+19 +tf_efficientnet_b5.aa_in1k,88.407,11.593,97.931,2.069,30.39,456,0.934,bicubic,+4.719,+1.219,+20 +regnety_320.swag_lc_in1k,88.398,11.602,98.117,1.883,145.05,224,0.965,bicubic,+3.852,+0.675,-76 +vit_base_patch16_384.orig_in21k_ft_in1k,88.389,11.611,98.160,1.840,86.86,384,1.000,bicubic,+4.189,+0.940,-35 +regnetz_c16_evos.ch_in1k,88.381,11.619,98.040,1.960,13.49,320,0.950,bicubic,+5.749,+1.566,+112 +tresnet_v2_l.miil_in21k_ft_in1k,88.379,11.621,97.923,2.077,46.17,224,0.875,bilinear,+4.479,+1.429,-12 +swinv2_small_window16_256.ms_in1k,88.372,11.628,97.848,2.152,49.73,256,0.900,bicubic,+4.148,+1.070,-40 +efficientnet_b4.ra2_in1k,88.366,11.634,97.961,2.039,19.34,384,1.000,bicubic,+4.952,+1.363,+34 +resnet152d.ra2_in1k,88.362,11.638,97.931,2.069,60.21,320,1.000,bicubic,+4.678,+1.191,+14 +maxvit_rmlp_tiny_rw_256.sw_in1k,88.355,11.645,97.820,2.180,29.15,256,0.950,bicubic,+4.131,+0.952,-42 +tf_efficientnet_b4.ap_in1k,88.347,11.653,97.888,2.112,19.34,380,0.922,bicubic,+5.097,+1.494,+47 +deit3_small_patch16_224.fb_in22k_ft_in1k,88.336,11.664,98.127,1.873,22.06,224,1.000,bicubic,+5.262,+1.352,+64 +regnety_064.ra3_in1k,88.323,11.677,97.865,2.135,30.58,288,1.000,bicubic,+4.603,+1.143,+3 +convnextv2_nano.fcmae_ft_in22k_in1k_384,88.315,11.685,97.938,2.062,15.62,384,1.000,bicubic,+4.941,+1.194,+35 +crossvit_15_dagger_408.in1k,88.313,11.687,97.874,2.127,28.50,408,1.000,bicubic,+4.471,+1.096,-16 +tf_efficientnet_b5.ra_in1k,88.308,11.692,97.918,2.082,30.39,456,0.934,bicubic,+4.498,+1.164,-12 +cs3se_edgenet_x.c2ns_in1k,88.296,11.704,97.935,2.065,50.72,320,1.000,bicubic,+4.754,+1.263,+14 +deit3_small_patch16_384.fb_in1k,88.296,11.704,97.888,2.112,22.21,384,1.000,bicubic,+4.866,+1.214,+22 +pvt_v2_b4.in1k,88.285,11.715,97.816,2.184,62.56,224,0.900,bicubic,+4.575,+1.142,-1 +efficientformer_l7.snap_dist_in1k,88.278,11.722,97.882,2.118,82.23,224,0.950,bicubic,+4.896,+1.346,+28 +mvitv2_small.fb_in1k,88.264,11.736,97.692,2.308,34.87,224,0.900,bicubic,+4.494,+1.116,-12 +resnetrs152.tf_in1k,88.249,11.751,97.737,2.263,86.62,320,1.000,bicubic,+4.547,+1.125,-3 +deit3_base_patch16_224.fb_in1k,88.244,11.756,97.816,2.184,86.59,224,0.900,bicubic,+4.458,+1.228,-16 +xcit_small_12_p16_224.fb_dist_in1k,88.240,11.760,97.844,2.156,26.25,224,1.000,bicubic,+4.912,+1.428,+31 +gcvit_small.in1k,88.217,11.783,97.788,2.212,51.09,224,0.875,bicubic,+4.325,+1.130,-30 +regnetv_040.ra3_in1k,88.212,11.788,97.972,2.028,20.64,288,1.000,bicubic,+5.014,+1.314,+34 +deit_base_distilled_patch16_224.fb_in1k,88.212,11.788,97.910,2.090,87.34,224,0.900,bicubic,+4.826,+1.422,+20 +xception65p.ra3_in1k,88.189,11.811,97.788,2.212,39.82,299,0.940,bicubic,+5.053,+1.680,+39 +swinv2_small_window8_256.ms_in1k,88.172,11.828,97.777,2.223,49.73,256,0.900,bicubic,+4.318,+1.133,-32 +caformer_s18.sail_in1k,88.163,11.837,97.728,2.272,26.34,224,1.000,bicubic,+4.507,+1.212,-5 +xcit_tiny_24_p16_384.fb_dist_in1k,88.161,11.839,97.942,2.058,12.12,384,1.000,bicubic,+5.591,+1.666,+100 +xcit_large_24_p8_224.fb_in1k,88.161,11.839,97.391,2.609,188.93,224,1.000,bicubic,+3.767,+0.727,-76 +resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384,88.153,11.848,98.051,1.949,236.34,384,1.000,bicubic,+4.319,+0.925,-32 +coat_lite_medium.in1k,88.144,11.856,97.899,2.101,44.57,224,0.900,bicubic,+4.544,+1.171,-6 +resnext101_32x8d.fb_wsl_ig1b_ft_in1k,88.144,11.856,97.859,2.142,88.79,224,0.875,bilinear,+5.446,+1.715,+73 +cait_xxs36_384.fb_dist_in1k,88.140,11.860,97.903,2.097,17.37,384,1.000,bicubic,+5.936,+1.759,+141 +dm_nfnet_f0.dm_in1k,88.131,11.869,97.906,2.095,71.49,256,0.900,bicubic,+4.645,+1.338,-1 +resnext101_32x4d.fb_swsl_ig1b_ft_in1k,88.112,11.888,97.965,2.035,44.18,224,0.875,bilinear,+4.880,+1.207,+21 +pit_b_distilled_224.in1k,88.108,11.892,97.654,2.346,74.79,224,0.900,bicubic,+4.342,+1.188,-29 +xcit_tiny_12_p8_384.fb_dist_in1k,88.103,11.897,97.925,2.075,6.71,384,1.000,bicubic,+5.715,+1.705,+109 +pvt_v2_b5.in1k,88.103,11.897,97.694,2.306,81.96,224,0.900,bicubic,+4.361,+1.060,-26 +pvt_v2_b3.in1k,88.099,11.901,97.775,2.225,45.24,224,0.900,bicubic,+4.979,+1.221,+30 +rexnetr_200.sw_in12k_ft_in1k,88.097,11.903,98.006,1.994,16.52,288,1.000,bicubic,+4.961,+1.370,+23 +xception65.ra3_in1k,88.069,11.931,97.750,2.250,39.92,299,0.940,bicubic,+4.887,+1.158,+18 +hrnet_w18_ssld.paddle_in1k,88.067,11.933,97.824,2.176,21.30,288,1.000,bilinear,+6.021,+1.574,+148 +swin_s3_base_224.ms_in1k,88.046,11.954,97.662,2.338,71.13,224,0.900,bicubic,+4.126,+0.990,-55 +xcit_tiny_24_p8_224.fb_dist_in1k,88.037,11.963,97.818,2.182,12.11,224,1.000,bicubic,+5.471,+1.760,+86 +convnextv2_tiny.fcmae_ft_in1k,88.035,11.965,97.859,2.142,28.64,288,1.000,bicubic,+4.571,+1.141,-11 +resnet152.a1h_in1k,88.033,11.967,97.696,2.304,60.19,288,1.000,bicubic,+4.583,+1.158,-12 +focalnet_base_srf.ms_in1k,88.033,11.967,97.656,2.344,88.15,224,0.900,bicubic,+4.215,+0.974,-46 +regnety_160.swag_lc_in1k,88.031,11.969,98.044,1.956,83.59,224,0.965,bicubic,+4.249,+0.764,-43 +maxvit_tiny_tf_224.in1k,88.027,11.973,97.816,2.184,30.92,224,0.950,bicubic,+4.625,+1.226,-9 +focalnet_base_lrf.ms_in1k,88.003,11.997,97.609,2.391,88.75,224,0.900,bicubic,+4.165,+1.001,-53 +gcvit_tiny.in1k,88.001,11.999,97.722,2.278,28.22,224,0.875,bicubic,+4.617,+1.324,-7 +eca_nfnet_l0.ra2_in1k,87.980,12.020,97.869,2.131,24.14,288,1.000,bicubic,+5.402,+1.375,+75 +tf_efficientnet_b5.in1k,87.973,12.027,97.933,2.067,30.39,456,0.934,bicubic,+4.797,+1.397,+6 +cs3sedarknet_x.c2ns_in1k,87.973,12.027,97.794,2.205,35.40,288,1.000,bicubic,+5.315,+1.445,+57 +nfnet_l0.ra2_in1k,87.969,12.031,97.867,2.133,35.07,288,1.000,bicubic,+5.217,+1.351,+45 +efficientformer_l3.snap_dist_in1k,87.963,12.037,97.709,2.291,31.41,224,0.950,bicubic,+5.413,+1.461,+76 +xcit_small_24_p8_224.fb_in1k,87.956,12.044,97.581,2.419,47.63,224,1.000,bicubic,+4.122,+0.949,-58 +tf_efficientnet_b4.aa_in1k,87.954,12.046,97.739,2.261,19.34,380,0.922,bicubic,+4.936,+1.439,+20 +regnetz_c16.ra3_in1k,87.952,12.048,97.782,2.218,13.46,320,1.000,bicubic,+5.318,+1.460,+54 +regnety_032.ra_in1k,87.945,12.055,97.897,2.103,19.44,288,1.000,bicubic,+5.217,+1.481,+42 +coatnet_1_rw_224.sw_in1k,87.943,12.057,97.453,2.547,41.72,224,0.950,bicubic,+4.347,+1.071,-35 +resnet101d.ra2_in1k,87.935,12.065,97.910,2.090,44.57,320,1.000,bicubic,+4.919,+1.458,+17 +regnety_040.ra3_in1k,87.933,12.067,97.880,2.120,20.65,288,1.000,bicubic,+4.889,+1.382,+12 +mobilevitv2_200.cvnets_in22k_ft_in1k_384,87.933,12.067,97.822,2.178,18.45,384,1.000,bicubic,+4.533,+1.240,-22 +swinv2_cr_small_ns_224.sw_in1k,87.933,12.067,97.668,2.332,49.70,224,0.900,bicubic,+4.435,+1.184,-34 +focalnet_small_lrf.ms_in1k,87.930,12.069,97.696,2.304,50.34,224,0.900,bicubic,+4.436,+1.116,-34 +resnetv2_101.a1h_in1k,87.924,12.076,97.651,2.349,44.54,288,1.000,bicubic,+4.922,+1.197,+13 +vit_base_patch32_384.augreg_in21k_ft_in1k,87.909,12.091,98.010,1.990,88.30,384,1.000,bicubic,+4.559,+1.172,-20 +sequencer2d_l.in1k,87.907,12.093,97.703,2.297,54.30,224,0.875,bicubic,+4.513,+1.207,-27 +twins_svt_large.in1k,87.903,12.097,97.581,2.419,99.27,224,0.900,bicubic,+4.225,+0.991,-49 +coatnet_rmlp_1_rw_224.sw_in1k,87.892,12.108,97.624,2.376,41.69,224,0.950,bicubic,+4.530,+1.174,-24 +swin_base_patch4_window7_224.ms_in1k,87.866,12.134,97.564,2.436,87.77,224,0.900,bicubic,+4.260,+1.112,-48 +twins_pcpvt_large.in1k,87.864,12.136,97.859,2.142,60.99,224,0.900,bicubic,+4.734,+1.257,-7 +maxvit_tiny_rw_224.sw_in1k,87.856,12.144,97.643,2.357,29.06,224,0.950,bicubic,+4.352,+1.139,-44 +swin_s3_small_224.ms_in1k,87.849,12.151,97.431,2.568,49.74,224,0.900,bicubic,+4.093,+0.980,-67 +convformer_s18.sail_in1k,87.845,12.155,97.551,2.449,26.77,224,1.000,bicubic,+4.859,+1.301,+6 +mobilevitv2_175.cvnets_in22k_ft_in1k_384,87.841,12.159,97.728,2.272,14.25,384,1.000,bicubic,+4.903,+1.302,+7 +deit_base_patch16_384.fb_in1k,87.841,12.159,97.506,2.494,86.86,384,1.000,bicubic,+4.735,+1.138,-6 +ecaresnet101d.miil_in1k,87.839,12.161,97.899,2.101,44.57,288,0.950,bicubic,+4.855,+1.357,+4 +convnext_nano.in12k_ft_in1k,87.837,12.164,97.888,2.112,15.59,288,1.000,bicubic,+4.975,+1.332,+10 +xcit_small_12_p8_224.fb_in1k,87.822,12.178,97.568,2.432,26.21,224,1.000,bicubic,+4.490,+1.084,-30 +flexivit_small.1200ep_in1k,87.813,12.187,97.615,2.385,22.06,240,0.950,bicubic,+5.293,+1.491,+52 +vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,87.809,12.191,97.756,2.244,88.22,224,0.900,bicubic,+4.513,+1.228,-30 +focalnet_small_srf.ms_in1k,87.809,12.191,97.575,2.425,49.89,224,0.900,bicubic,+4.393,+1.137,-45 +maxxvit_rmlp_nano_rw_256.sw_in1k,87.807,12.193,97.752,2.248,16.78,256,0.950,bicubic,+4.765,+1.402,-9 +flexivit_small.600ep_in1k,87.807,12.193,97.579,2.421,22.06,240,0.950,bicubic,+5.445,+1.497,+65 +tf_efficientnetv2_b3.in21k_ft_in1k,87.805,12.195,97.893,2.107,14.36,300,0.900,bicubic,+5.135,+1.267,+21 +deit3_medium_patch16_224.fb_in1k,87.802,12.198,97.656,2.344,38.85,224,0.900,bicubic,+4.716,+1.360,-16 +tresnet_xl.miil_in1k_448,87.798,12.202,97.459,2.541,78.44,448,0.875,bilinear,+4.738,+1.285,-14 +resnetv2_50x1_bit.goog_distilled_in1k,87.792,12.208,97.903,2.097,25.55,224,0.875,bicubic,+4.972,+1.389,+2 +convnext_tiny.fb_in1k,87.770,12.230,97.585,2.415,28.59,288,1.000,bicubic,+5.072,+0.953,+15 +regnety_320.tv2_in1k,87.743,12.257,97.673,2.327,145.05,224,0.965,bicubic,+4.581,+1.257,-31 +resnext101_64x4d.tv_in1k,87.740,12.259,97.592,2.408,83.46,224,0.875,bilinear,+4.748,+1.348,-12 +convnextv2_nano.fcmae_ft_in22k_in1k,87.732,12.268,97.886,2.114,15.62,288,1.000,bicubic,+5.068,+1.366,+15 +twins_pcpvt_base.in1k,87.730,12.270,97.728,2.272,43.83,224,0.900,bicubic,+5.020,+1.382,+8 +tresnet_m.miil_in21k_ft_in1k,87.723,12.277,97.517,2.483,31.39,224,0.875,bilinear,+4.649,+1.403,-22 +gc_efficientnetv2_rw_t.agc_in1k,87.719,12.281,97.803,2.197,13.68,288,1.000,bicubic,+5.267,+1.511,+44 +mvitv2_tiny.fb_in1k,87.719,12.281,97.553,2.447,24.17,224,0.900,bicubic,+5.309,+1.401,+45 +maxvit_rmlp_nano_rw_256.sw_in1k,87.715,12.285,97.577,2.423,15.50,256,0.950,bicubic,+4.761,+1.311,-15 +resnetv2_101x1_bit.goog_in21k_ft_in1k,87.683,12.317,97.940,2.060,44.54,448,1.000,bilinear,+5.341,+1.420,+54 +rexnet_300.nav_in1k,87.683,12.317,97.611,2.389,34.71,224,0.875,bicubic,+4.909,+1.375,-3 +swin_small_patch4_window7_224.ms_in1k,87.662,12.338,97.568,2.432,49.61,224,0.900,bicubic,+4.454,+1.252,-45 +efficientnetv2_rw_t.ra2_in1k,87.651,12.349,97.683,2.317,13.65,288,1.000,bicubic,+5.301,+1.492,+50 +twins_svt_base.in1k,87.651,12.349,97.525,2.474,56.07,224,0.900,bicubic,+4.529,+1.109,-36 +mobilevitv2_150.cvnets_in22k_ft_in1k_384,87.649,12.351,97.647,2.353,10.59,384,1.000,bicubic,+5.063,+1.333,+18 +coat_small.in1k,87.647,12.354,97.530,2.470,21.69,224,0.900,bicubic,+5.285,+1.322,+43 +maxxvitv2_nano_rw_256.sw_in1k,87.638,12.362,97.525,2.474,23.70,256,0.950,bicubic,+4.528,+1.201,-37 +pnasnet5large.tf_in1k,87.636,12.364,97.487,2.513,86.06,331,0.911,bicubic,+4.854,+1.447,-12 +resnet101.a1h_in1k,87.634,12.366,97.558,2.442,44.55,288,1.000,bicubic,+4.856,+1.248,-12 +resnetaa50d.sw_in12k_ft_in1k,87.623,12.377,97.803,2.197,25.58,288,1.000,bicubic,+5.023,+1.305,+8 +flexivit_small.300ep_in1k,87.623,12.377,97.611,2.389,22.06,240,0.950,bicubic,+5.445,+1.575,+67 +cs3edgenet_x.c2_in1k,87.621,12.379,97.654,2.346,47.82,288,1.000,bicubic,+4.913,+1.284,-8 +xcit_medium_24_p8_224.fb_in1k,87.612,12.388,97.201,2.799,84.32,224,1.000,bicubic,+3.864,+0.801,-104 +swinv2_tiny_window16_256.ms_in1k,87.610,12.390,97.560,2.440,28.35,256,0.900,bicubic,+4.806,+1.324,-19 +resnext101_32x16d.fb_swsl_ig1b_ft_in1k,87.606,12.394,97.816,2.184,194.03,224,0.875,bilinear,+4.270,+0.970,-66 +resnext50_32x4d.fb_swsl_ig1b_ft_in1k,87.600,12.400,97.649,2.351,25.03,224,0.875,bilinear,+5.425,+1.427,+62 +nest_base_jx.goog_in1k,87.597,12.403,97.521,2.479,67.72,224,0.875,bicubic,+4.063,+1.147,-88 +maxvit_nano_rw_256.sw_in1k,87.595,12.405,97.519,2.481,15.45,256,0.950,bicubic,+4.667,+1.299,-32 +tf_efficientnet_b4.in1k,87.582,12.418,97.602,2.398,19.34,380,0.922,bicubic,+4.974,+1.850,-2 +davit_tiny.msft_in1k,87.565,12.435,97.585,2.415,28.36,224,0.950,bicubic,+4.869,+1.311,-13 +levit_384.fb_dist_in1k,87.563,12.437,97.538,2.462,39.13,224,0.900,bicubic,+4.967,+1.520,-1 +levit_conv_384.fb_dist_in1k,87.561,12.439,97.538,2.462,39.13,224,0.900,bicubic,+4.971,+1.290,0 +sequencer2d_m.in1k,87.559,12.441,97.581,2.419,38.31,224,0.875,bicubic,+4.747,+1.307,-30 +convnextv2_nano.fcmae_ft_in1k,87.553,12.447,97.666,2.334,15.62,288,1.000,bicubic,+5.067,+1.440,+14 +tf_efficientnet_b2.ns_jft_in1k,87.553,12.447,97.626,2.374,9.11,260,0.890,bicubic,+5.175,+1.372,+23 +ecaresnet50t.ra2_in1k,87.544,12.456,97.649,2.351,25.57,320,0.950,bicubic,+5.192,+1.509,+26 +regnetx_320.tv2_in1k,87.538,12.462,97.564,2.436,107.81,224,0.965,bicubic,+4.728,+1.356,-33 +vit_base_patch32_clip_224.laion2b_ft_in1k,87.529,12.471,97.547,2.453,88.22,224,0.900,bicubic,+4.947,+1.347,-3 +efficientformerv2_s2.snap_dist_in1k,87.514,12.486,97.615,2.385,12.71,224,0.950,bicubic,+5.348,+1.705,+50 +coatnet_bn_0_rw_224.sw_in1k,87.508,12.492,97.551,2.449,27.44,224,0.950,bicubic,+5.108,+1.365,+14 +vit_base_patch16_rpn_224.sw_in1k,87.504,12.496,97.491,2.509,86.54,224,0.900,bicubic,+5.297,+1.493,+42 +pvt_v2_b2_li.in1k,87.501,12.499,97.470,2.530,22.55,224,0.900,bicubic,+5.307,+1.378,+44 +resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k,87.497,12.503,97.818,2.182,236.34,224,0.875,bicubic,+4.621,+1.236,-44 +edgenext_small.usi_in1k,87.493,12.507,97.587,2.413,5.59,320,1.000,bicubic,+5.929,+1.875,+94 +nest_small_jx.goog_in1k,87.493,12.507,97.513,2.487,38.35,224,0.875,bicubic,+4.369,+1.193,-68 +vit_relpos_base_patch16_clsgap_224.sw_in1k,87.471,12.529,97.525,2.474,86.43,224,0.900,bicubic,+4.711,+1.353,-37 +vit_relpos_base_patch16_224.sw_in1k,87.467,12.533,97.558,2.442,86.43,224,0.900,bicubic,+4.971,+1.419,0 +regnety_080_tv.tv2_in1k,87.465,12.535,97.636,2.364,39.38,224,0.965,bicubic,+4.875,+1.618,-17 +fbnetv3_g.ra2_in1k,87.446,12.554,97.545,2.455,16.62,288,0.950,bilinear,+5.410,+1.487,+52 +resnet61q.ra2_in1k,87.439,12.561,97.598,2.402,36.85,288,1.000,bicubic,+4.915,+1.468,-7 +wide_resnet50_2.racm_in1k,87.437,12.563,97.543,2.458,68.88,288,0.950,bicubic,+5.157,+1.479,+24 +poolformerv2_m48.sail_in1k,87.435,12.565,97.419,2.581,73.35,224,1.000,bicubic,+4.815,+1.347,-26 +efficientnet_b3.ra2_in1k,87.433,12.567,97.681,2.319,12.23,320,1.000,bicubic,+5.191,+1.563,+24 +regnetx_160.tv2_in1k,87.433,12.567,97.444,2.556,54.28,224,0.965,bicubic,+4.867,+1.272,-13 +resnext101_64x4d.c1_in1k,87.433,12.567,97.444,2.556,83.46,288,1.000,bicubic,+4.277,+1.070,-83 +cait_xxs24_384.fb_dist_in1k,87.414,12.586,97.621,2.378,12.03,384,1.000,bicubic,+6.442,+1.981,+143 +resnet51q.ra2_in1k,87.397,12.603,97.583,2.417,35.70,288,1.000,bilinear,+5.037,+1.401,+4 +cs3darknet_x.c2ns_in1k,87.395,12.605,97.611,2.389,35.05,288,1.000,bicubic,+5.173,+1.381,+22 +cs3sedarknet_l.c2ns_in1k,87.395,12.605,97.568,2.432,21.91,288,0.950,bicubic,+5.611,+1.610,+64 +coat_lite_small.in1k,87.388,12.612,97.374,2.626,19.84,224,0.900,bicubic,+5.074,+1.526,+9 +tresnet_l.miil_in1k_448,87.382,12.618,97.485,2.515,55.99,448,0.875,bilinear,+5.106,+1.507,+15 +resnetv2_50d_gn.ah_in1k,87.380,12.620,97.536,2.464,25.57,288,1.000,bicubic,+5.422,+1.608,+47 +pvt_v2_b2.in1k,87.377,12.623,97.519,2.481,25.36,224,0.900,bicubic,+5.291,+1.563,+33 +sequencer2d_s.in1k,87.377,12.623,97.387,2.613,27.65,224,0.875,bicubic,+5.037,+1.357,+1 +swinv2_cr_small_224.sw_in1k,87.377,12.623,97.346,2.654,49.70,224,0.900,bicubic,+4.242,+0.862,-90 +xcit_tiny_24_p8_224.fb_in1k,87.373,12.627,97.626,2.374,12.11,224,1.000,bicubic,+5.481,+1.656,+48 +vit_relpos_medium_patch16_cls_224.sw_in1k,87.363,12.637,97.451,2.549,38.76,224,0.900,bicubic,+4.791,+1.383,-29 +nasnetalarge.tf_in1k,87.360,12.640,97.417,2.583,88.75,331,0.911,bicubic,+4.734,+1.375,-43 +crossvit_18_dagger_240.in1k,87.352,12.648,97.453,2.547,44.27,240,0.875,bicubic,+4.836,+1.387,-24 +seresnext50_32x4d.racm_in1k,87.350,12.650,97.613,2.387,27.56,288,0.950,bicubic,+5.154,+1.465,+15 +wide_resnet101_2.tv2_in1k,87.326,12.674,97.404,2.596,126.89,224,0.965,bilinear,+4.828,+1.386,-25 +ecaresnet50d.miil_in1k,87.322,12.678,97.666,2.334,25.58,288,0.950,bicubic,+5.672,+1.784,+58 +resnext101_32x8d.tv2_in1k,87.318,12.682,97.560,2.440,88.79,224,0.965,bilinear,+4.486,+1.328,-72 +crossvit_18_240.in1k,87.316,12.684,97.487,2.513,43.27,240,0.875,bicubic,+4.920,+1.427,-19 +focalnet_tiny_srf.ms_in1k,87.301,12.699,97.414,2.586,28.43,224,0.900,bicubic,+5.167,+1.446,+17 +resnest101e.in1k,87.290,12.710,97.562,2.438,48.28,256,0.875,bilinear,+4.406,+1.240,-78 +gcvit_xtiny.in1k,87.281,12.719,97.481,2.519,19.98,224,0.875,bicubic,+5.327,+1.513,+33 +coatnet_rmlp_nano_rw_224.sw_in1k,87.277,12.723,97.447,2.554,15.15,224,0.900,bicubic,+5.227,+1.567,+21 +ecaresnet101d_pruned.miil_in1k,87.273,12.727,97.713,2.287,24.88,288,0.950,bicubic,+5.275,+1.553,+25 +vit_relpos_medium_patch16_rpn_224.sw_in1k,87.269,12.731,97.447,2.554,38.73,224,0.900,bicubic,+4.959,+1.475,-10 +swin_tiny_patch4_window7_224.ms_in22k_ft_in1k,87.249,12.751,97.782,2.218,28.29,224,0.900,bicubic,+6.281,+1.768,+120 +resnetrs101.tf_in1k,87.241,12.759,97.455,2.545,63.62,288,0.940,bicubic,+4.957,+1.441,-8 +coatnext_nano_rw_224.sw_in1k,87.239,12.761,97.543,2.458,14.70,224,0.900,bicubic,+5.297,+1.627,+28 +poolformer_m48.sail_in1k,87.237,12.763,97.318,2.682,73.47,224,0.950,bicubic,+4.755,+1.352,-35 +regnety_160.tv2_in1k,87.234,12.765,97.461,2.539,83.59,224,0.965,bicubic,+4.593,+1.245,-64 +tresnet_xl.miil_in1k,87.232,12.768,97.397,2.603,78.44,224,0.875,bilinear,+5.158,+1.471,+11 +mixer_b16_224.miil_in21k_ft_in1k,87.230,12.770,97.414,2.586,59.88,224,0.875,bilinear,+4.924,+1.694,-16 +xcit_tiny_12_p8_224.fb_dist_in1k,87.224,12.776,97.449,2.551,6.71,224,1.000,bicubic,+6.012,+1.847,+89 +xcit_tiny_12_p16_384.fb_dist_in1k,87.209,12.791,97.466,2.534,6.72,384,1.000,bicubic,+6.271,+2.052,+114 +convit_base.fb_in1k,87.209,12.791,97.284,2.716,86.54,224,0.875,bicubic,+4.919,+1.348,-17 +resnetv2_50d_evos.ah_in1k,87.205,12.795,97.421,2.579,25.59,288,1.000,bicubic,+5.205,+1.521,+12 +tf_efficientnet_b3.ap_in1k,87.190,12.810,97.382,2.618,12.23,300,0.904,bicubic,+5.364,+1.756,+26 +resnet152.tv2_in1k,87.188,12.812,97.387,2.613,60.19,224,0.965,bilinear,+4.900,+1.383,-20 +visformer_small.in1k,87.183,12.817,97.323,2.677,40.22,224,0.900,bicubic,+5.081,+1.625,0 +vit_base_patch32_clip_224.openai_ft_in1k,87.179,12.821,97.466,2.534,88.22,224,0.900,bicubic,+5.249,+1.500,+18 +vit_srelpos_medium_patch16_224.sw_in1k,87.177,12.823,97.310,2.690,38.74,224,0.900,bicubic,+4.937,+1.368,-18 +focalnet_tiny_lrf.ms_in1k,87.175,12.825,97.370,2.630,28.65,224,0.900,bicubic,+5.021,+1.422,-7 +crossvit_15_dagger_240.in1k,87.164,12.836,97.434,2.566,28.21,240,0.875,bicubic,+4.834,+1.474,-31 +convnext_tiny_hnf.a2h_in1k,87.147,12.853,97.280,2.720,28.59,288,1.000,bicubic,+4.563,+1.272,-65 +vit_relpos_medium_patch16_224.sw_in1k,87.145,12.855,97.500,2.500,38.75,224,0.900,bicubic,+4.683,+1.418,-50 +swin_s3_tiny_224.ms_in1k,87.143,12.857,97.308,2.692,28.33,224,0.900,bicubic,+4.999,+1.354,-10 +coatnet_0_rw_224.sw_in1k,87.128,12.872,97.233,2.767,27.44,224,0.950,bicubic,+4.738,+1.397,-46 +xcit_small_24_p16_224.fb_in1k,87.119,12.881,97.267,2.733,47.67,224,1.000,bicubic,+4.539,+1.255,-67 +swinv2_tiny_window8_256.ms_in1k,87.089,12.911,97.510,2.490,28.35,256,0.900,bicubic,+5.269,+1.516,+15 +pit_s_distilled_224.in1k,87.081,12.919,97.365,2.635,24.04,224,0.900,bicubic,+5.273,+1.637,+14 +ecaresnet50t.a1_in1k,87.081,12.919,97.122,2.878,25.57,288,1.000,bicubic,+4.953,+1.480,-12 +xception41p.ra3_in1k,87.059,12.941,97.207,2.793,26.91,299,0.940,bicubic,+5.087,+1.411,-1 +mobilevitv2_200.cvnets_in22k_ft_in1k,87.057,12.943,97.431,2.568,18.45,256,0.888,bicubic,+4.725,+1.490,-42 +resnext50_32x4d.a1h_in1k,87.057,12.943,97.331,2.669,25.03,288,1.000,bicubic,+5.043,+1.397,-7 +regnetz_b16.ra3_in1k,87.047,12.953,97.410,2.590,9.72,288,1.000,bicubic,+6.319,+1.890,+115 +crossvit_15_240.in1k,87.044,12.956,97.423,2.577,27.53,240,0.875,bicubic,+5.510,+1.731,+31 +convit_small.fb_in1k,87.042,12.958,97.350,2.650,27.78,224,0.875,bicubic,+5.622,+1.606,+44 +gcresnet50t.ra2_in1k,87.029,12.970,97.391,2.609,25.90,288,1.000,bicubic,+5.573,+1.673,+39 +tf_efficientnetv2_b3.in1k,87.027,12.973,97.301,2.699,14.36,300,0.904,bicubic,+5.057,+1.489,-6 +xcit_small_12_p16_224.fb_in1k,87.012,12.988,97.239,2.761,26.25,224,1.000,bicubic,+5.042,+1.451,-8 +poolformerv2_m36.sail_in1k,87.008,12.992,97.284,2.716,56.08,224,1.000,bicubic,+4.792,+1.452,-35 +nest_tiny_jx.goog_in1k,87.006,12.994,97.378,2.622,17.06,224,0.875,bicubic,+5.580,+1.760,+36 +deit_small_distilled_patch16_224.fb_in1k,87.006,12.994,97.320,2.679,22.44,224,0.900,bicubic,+5.788,+1.936,+56 +deit3_small_patch16_224.fb_in1k,87.006,12.994,97.171,2.829,22.06,224,0.900,bicubic,+5.636,+1.715,+45 +swinv2_cr_tiny_ns_224.sw_in1k,87.002,12.998,97.280,2.720,28.33,224,0.900,bicubic,+5.200,+1.462,+1 +resnet101.a1_in1k,87.000,13.000,96.960,3.040,44.55,288,1.000,bicubic,+4.678,+1.328,-53 +coatnet_nano_rw_224.sw_in1k,86.995,13.005,97.248,2.752,15.14,224,0.900,bicubic,+5.297,+1.602,+4 +resnet152.a2_in1k,86.995,13.005,96.923,3.077,60.19,288,1.000,bicubic,+4.387,+0.795,-95 +resmlp_36_224.fb_distilled_in1k,86.987,13.013,97.276,2.724,44.69,224,0.875,bicubic,+5.839,+1.798,+59 +poolformer_m36.sail_in1k,86.955,13.045,97.141,2.859,56.17,224,0.950,bicubic,+4.853,+1.263,-30 +mobilevitv2_175.cvnets_in22k_ft_in1k,86.951,13.050,97.335,2.665,14.25,256,0.888,bicubic,+5.013,+1.545,-14 +resnet101.a2_in1k,86.942,13.058,96.990,3.010,44.55,288,1.000,bicubic,+4.706,+1.260,-48 +regnety_032.tv2_in1k,86.940,13.060,97.410,2.590,19.44,224,0.965,bicubic,+5.184,+1.570,-4 +xcit_large_24_p16_224.fb_in1k,86.940,13.060,96.923,3.077,189.10,224,1.000,bicubic,+4.040,+1.037,-132 +resnet101.tv2_in1k,86.936,13.065,97.248,2.752,44.55,224,0.965,bilinear,+5.046,+1.480,-15 +xcit_medium_24_p16_224.fb_in1k,86.933,13.067,97.103,2.897,84.40,224,1.000,bicubic,+4.293,+1.119,-109 +resnetv2_50.a1h_in1k,86.929,13.071,97.340,2.660,25.55,288,1.000,bicubic,+5.531,+1.614,+26 +poolformerv2_s36.sail_in1k,86.923,13.077,97.353,2.647,30.79,224,1.000,bicubic,+5.355,+1.663,+4 +tnt_s_patch16_224,86.914,13.086,97.361,2.639,23.76,224,0.900,bicubic,+5.378,+1.625,+7 +vit_relpos_small_patch16_224.sw_in1k,86.891,13.109,97.489,2.511,21.98,224,0.900,bicubic,+5.429,+1.669,+16 +vit_small_patch16_224.augreg_in21k_ft_in1k,86.867,13.133,97.609,2.391,22.05,224,0.900,bicubic,+5.483,+1.473,+24 +vit_small_r26_s32_224.augreg_in21k_ft_in1k,86.863,13.137,97.528,2.472,36.43,224,0.900,bicubic,+4.999,+1.506,-21 +resnet152.a1_in1k,86.861,13.139,96.793,3.207,60.19,288,1.000,bicubic,+4.129,+1.073,-127 +ecaresnetlight.miil_in1k,86.852,13.148,97.508,2.492,30.16,288,0.950,bicubic,+5.444,+1.692,+18 +resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k,86.846,13.154,97.521,2.479,194.03,224,0.875,bilinear,+5.004,+1.429,-23 +tf_efficientnet_b3.aa_in1k,86.844,13.156,97.297,2.703,12.23,300,0.904,bicubic,+5.200,+1.575,-10 +rexnet_200.nav_in1k,86.842,13.158,97.276,2.724,16.37,224,0.875,bicubic,+5.206,+1.612,-10 +convmixer_1536_20.in1k,86.840,13.161,97.355,2.645,51.63,224,0.960,bicubic,+5.478,+1.741,+20 +resnet50.fb_swsl_ig1b_ft_in1k,86.831,13.169,97.493,2.507,25.56,224,0.875,bilinear,+5.649,+1.501,+34 +deit_base_patch16_224.fb_in1k,86.829,13.171,97.052,2.949,86.57,224,0.900,bicubic,+4.837,+1.316,-40 +tresnet_m.miil_in1k_448,86.816,13.184,97.216,2.784,31.39,448,0.875,bilinear,+5.108,+1.642,-21 +tf_efficientnet_lite4.in1k,86.801,13.199,97.265,2.735,13.01,380,0.920,bilinear,+5.269,+1.601,-4 +coat_mini.in1k,86.799,13.201,97.156,2.844,10.34,224,0.900,bicubic,+5.529,+1.774,+22 +resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k,86.795,13.205,97.472,2.528,88.79,224,0.875,bilinear,+5.189,+1.432,-15 +eva02_tiny_patch14_336.mim_in22k_ft_in1k,86.786,13.214,97.269,2.731,5.76,336,1.000,bicubic,+6.156,+1.743,+84 +seresnet50.ra2_in1k,86.778,13.223,97.361,2.639,28.09,288,0.950,bicubic,+5.493,+1.709,+18 +vit_base_patch16_224.orig_in21k_ft_in1k,86.773,13.227,97.444,2.556,86.57,224,0.900,bicubic,+4.987,+1.320,-31 +convnextv2_pico.fcmae_ft_in1k,86.773,13.227,97.331,2.669,9.07,288,0.950,bicubic,+5.687,+1.851,+41 +regnetx_080.tv2_in1k,86.771,13.229,97.197,2.803,39.57,224,0.965,bicubic,+5.233,+1.655,-14 +cs3darknet_l.c2ns_in1k,86.767,13.233,97.459,2.541,21.16,288,0.950,bicubic,+5.871,+1.797,+53 +resnetaa50.a1h_in1k,86.763,13.237,97.391,2.609,25.56,288,1.000,bicubic,+5.149,+1.589,-23 +tresnet_l.miil_in1k,86.763,13.237,97.273,2.727,55.99,224,0.875,bilinear,+5.283,+1.650,-8 +resnet50d.ra2_in1k,86.760,13.239,97.372,2.628,25.58,288,0.950,bicubic,+5.404,+1.634,+6 +ese_vovnet39b.ra_in1k,86.756,13.244,97.372,2.628,24.57,288,0.950,bicubic,+6.406,+2.006,+98 +resnet50_gn.a1h_in1k,86.754,13.246,97.449,2.551,25.56,288,0.950,bicubic,+5.538,+1.821,+15 +twins_svt_small.in1k,86.754,13.246,97.182,2.818,24.06,224,0.900,bicubic,+5.076,+1.522,-34 +seresnet50.a1_in1k,86.746,13.255,96.951,3.049,28.09,288,1.000,bicubic,+5.644,+1.621,+27 +mobilevitv2_150.cvnets_in22k_ft_in1k,86.743,13.257,97.214,2.786,10.59,256,0.888,bicubic,+5.255,+1.546,-16 +crossvit_base_240.in1k,86.733,13.267,97.122,2.878,105.03,240,0.875,bicubic,+4.517,+1.198,-82 +levit_256.fb_dist_in1k,86.731,13.269,97.254,2.746,18.89,224,0.900,bicubic,+5.217,+1.762,-20 +levit_conv_256.fb_dist_in1k,86.726,13.274,97.256,2.744,18.89,224,0.900,bicubic,+5.206,+1.766,-23 +ecaresnet50t.a2_in1k,86.726,13.274,97.081,2.919,25.57,288,1.000,bicubic,+5.068,+1.529,-37 +cs3darknet_focus_l.c2ns_in1k,86.724,13.276,97.376,2.624,21.15,288,0.950,bicubic,+5.844,+1.694,+43 +convnext_nano_ols.d1h_in1k,86.718,13.282,97.047,2.953,15.65,288,1.000,bicubic,+5.118,+1.411,-33 +vit_srelpos_small_patch16_224.sw_in1k,86.707,13.293,97.252,2.748,21.97,224,0.900,bicubic,+5.615,+1.920,+21 +resnet50.ram_in1k,86.699,13.301,97.199,2.801,25.56,288,0.950,bicubic,+6.723,+2.147,+112 +halo2botnet50ts_256.a1h_in1k,86.688,13.312,97.098,2.902,22.64,256,0.950,bicubic,+4.626,+1.464,-74 +pit_b_224.in1k,86.688,13.312,96.894,3.107,73.76,224,0.900,bicubic,+4.250,+1.178,-121 +crossvit_small_240.in1k,86.686,13.314,97.273,2.727,26.86,240,0.875,bicubic,+5.670,+1.817,+22 +resnet50d.a1_in1k,86.671,13.329,96.693,3.307,25.58,288,1.000,bicubic,+5.221,+1.475,-22 +ecaresnet50d_pruned.miil_in1k,86.669,13.331,97.429,2.571,19.94,288,0.950,bicubic,+5.879,+1.859,+43 +tf_efficientnet_b1.ns_jft_in1k,86.669,13.331,97.382,2.618,7.79,240,0.882,bicubic,+5.275,+1.646,-18 +swin_tiny_patch4_window7_224.ms_in1k,86.658,13.342,97.203,2.797,28.29,224,0.900,bicubic,+5.282,+1.659,-17 +poolformer_s36.sail_in1k,86.654,13.346,97.152,2.848,30.86,224,0.900,bicubic,+5.224,+1.708,-25 +gernet_l.idstcv_in1k,86.643,13.357,97.188,2.812,31.08,256,0.875,bilinear,+5.289,+1.658,-15 +efficientnet_el.ra_in1k,86.630,13.370,97.186,2.814,10.59,300,0.904,bicubic,+5.318,+1.650,-15 +twins_pcpvt_small.in1k,86.620,13.380,97.344,2.656,24.11,224,0.900,bicubic,+5.524,+1.696,+8 +resmlp_24_224.fb_distilled_in1k,86.615,13.385,97.137,2.863,30.02,224,0.875,bicubic,+5.859,+1.913,+39 +gcresnext50ts.ch_in1k,86.609,13.391,97.188,2.812,15.67,288,1.000,bicubic,+5.377,+1.644,-13 +resnet50.c2_in1k,86.605,13.395,97.338,2.662,25.56,288,1.000,bicubic,+5.735,+1.804,+28 +nf_resnet50.ra2_in1k,86.592,13.408,97.295,2.705,25.56,288,0.940,bicubic,+5.952,+1.963,+47 +resnest50d_4s2x40d.in1k,86.588,13.412,97.267,2.733,30.42,224,0.875,bicubic,+5.468,+1.707,-2 +sebotnet33ts_256.a1h_in1k,86.585,13.415,96.791,3.209,13.70,256,0.940,bicubic,+5.419,+1.623,-8 +repvgg_b3.rvgg_in1k,86.579,13.421,97.139,2.861,123.09,224,0.875,bilinear,+6.073,+1.885,+53 +efficientnet_b3_pruned.in1k,86.577,13.423,97.184,2.816,9.86,300,0.904,bicubic,+5.725,+1.940,+25 +wide_resnet50_2.tv2_in1k,86.570,13.430,97.248,2.752,68.88,224,0.965,bilinear,+4.964,+1.486,-56 +sehalonet33ts.ra2_in1k,86.566,13.434,97.002,2.998,13.69,256,0.940,bicubic,+5.610,+1.726,+11 +resnet50.a1_in1k,86.541,13.459,96.842,3.158,25.56,288,1.000,bicubic,+5.327,+1.740,-17 +resnet50.c1_in1k,86.536,13.464,97.235,2.765,25.56,288,1.000,bicubic,+5.624,+1.683,+12 +convnext_nano.d1h_in1k,86.536,13.464,97.182,2.818,15.59,288,1.000,bicubic,+5.054,+1.524,-46 +xcit_tiny_24_p16_224.fb_dist_in1k,86.534,13.466,97.218,2.782,12.12,224,1.000,bicubic,+6.080,+2.000,+56 +seresnet50.a2_in1k,86.519,13.481,96.987,3.013,28.09,288,1.000,bicubic,+5.413,+1.765,-10 +vit_small_patch16_384.augreg_in1k,86.502,13.498,97.182,2.818,22.20,384,1.000,bicubic,+5.386,+1.608,-12 +halonet50ts.a1h_in1k,86.487,13.513,97.148,2.852,22.73,256,0.940,bicubic,+4.827,+1.538,-71 +resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k,86.485,13.515,97.474,2.526,44.18,224,0.875,bilinear,+5.561,+1.740,+6 +maxvit_rmlp_pico_rw_256.sw_in1k,86.481,13.519,97.201,2.799,7.52,256,0.950,bicubic,+5.967,+1.987,+40 +resnet152s.gluon_in1k,86.466,13.534,97.109,2.891,60.32,224,0.875,bicubic,+5.464,+1.699,-6 +haloregnetz_b.ra3_in1k,86.466,13.534,96.947,3.053,11.68,224,0.940,bicubic,+5.418,+1.747,-8 +mobilevitv2_200.cvnets_in1k,86.457,13.543,96.970,3.030,18.45,256,0.888,bicubic,+5.323,+1.608,-20 +seresnet33ts.ra2_in1k,86.455,13.545,97.192,2.808,19.78,288,1.000,bicubic,+5.671,+1.830,+13 +resnext50d_32x4d.bt_in1k,86.455,13.545,97.165,2.835,25.05,288,0.950,bicubic,+5.791,+1.745,+26 +resnet50.d_in1k,86.455,13.545,97.056,2.944,25.56,288,1.000,bicubic,+5.483,+1.626,-5 +resnet50.tv2_in1k,86.442,13.558,97.145,2.855,25.56,224,0.965,bilinear,+5.592,+1.711,+8 +resnetv2_50x1_bit.goog_in21k_ft_in1k,86.440,13.560,97.605,2.396,25.55,448,1.000,bilinear,+6.100,+1.924,+48 +resnet50.b1k_in1k,86.440,13.560,97.237,2.763,25.56,288,1.000,bicubic,+5.734,+1.805,+18 +resnest50d_1s4x24d.in1k,86.432,13.568,97.152,2.848,25.68,224,0.875,bicubic,+5.444,+1.826,-13 +poolformerv2_s24.sail_in1k,86.389,13.611,97.150,2.850,21.34,224,1.000,bicubic,+5.641,+1.840,+11 +repvgg_b3g4.rvgg_in1k,86.368,13.632,97.047,2.953,83.83,224,0.875,bilinear,+6.152,+1.955,+60 +regnety_016.tv2_in1k,86.365,13.634,97.188,2.812,11.20,224,0.965,bicubic,+5.697,+1.858,+17 +darknetaa53.c2ns_in1k,86.361,13.639,97.160,2.840,36.02,288,1.000,bilinear,+5.859,+1.838,+28 +efficientformer_l1.snap_dist_in1k,86.357,13.643,97.019,2.981,12.29,224,0.950,bicubic,+5.859,+2.031,+28 +darknet53.c2ns_in1k,86.353,13.647,97.135,2.865,41.61,288,1.000,bicubic,+5.817,+1.701,+23 +lamhalobotnet50ts_256.a1h_in1k,86.353,13.647,97.043,2.957,22.57,256,0.950,bicubic,+4.799,+1.553,-79 +legacy_senet154.in1k,86.344,13.656,96.934,3.066,115.09,224,0.875,bilinear,+5.036,+1.442,-52 +resnet50.a1h_in1k,86.340,13.660,97.058,2.942,25.56,224,1.000,bicubic,+5.664,+1.752,+9 +cait_xxs36_224.fb_dist_in1k,86.329,13.671,97.118,2.882,17.30,224,1.000,bicubic,+6.583,+2.244,+79 +tf_efficientnet_b3.in1k,86.323,13.677,96.966,3.034,12.23,300,0.904,bicubic,+5.445,+1.666,-10 +gernet_m.idstcv_in1k,86.321,13.679,97.101,2.899,21.14,224,0.875,bilinear,+5.587,+1.915,+1 +mobilevitv2_175.cvnets_in1k,86.321,13.679,96.985,3.015,14.25,256,0.888,bicubic,+5.461,+1.729,-10 +resnet50d.a2_in1k,86.314,13.686,96.674,3.326,25.58,288,1.000,bicubic,+5.150,+1.590,-44 +vit_small_patch32_384.augreg_in21k_ft_in1k,86.310,13.690,97.417,2.583,22.92,384,1.000,bicubic,+5.824,+1.821,+18 +efficientnet_b2.ra_in1k,86.310,13.690,96.987,3.013,9.11,288,1.000,bicubic,+5.700,+1.673,+9 +gcresnet33ts.ra2_in1k,86.304,13.696,97.058,2.942,19.88,288,1.000,bicubic,+5.704,+1.738,+8 +pit_s_224.in1k,86.304,13.696,97.047,2.953,23.46,224,0.900,bicubic,+5.212,+1.477,-37 +resnext50_32x4d.a1_in1k,86.284,13.716,96.710,3.290,25.03,288,1.000,bicubic,+4.818,+1.536,-80 +resnext50_32x4d.a2_in1k,86.280,13.720,96.684,3.316,25.03,288,1.000,bicubic,+4.976,+1.588,-63 +resnet50.b2k_in1k,86.272,13.729,97.071,2.929,25.56,288,1.000,bicubic,+5.818,+1.753,+19 +senet154.gluon_in1k,86.272,13.729,96.957,3.042,115.09,224,0.875,bicubic,+5.046,+1.599,-61 +resnext50_32x4d.tv2_in1k,86.269,13.731,97.054,2.946,25.03,224,0.965,bilinear,+5.087,+1.714,-55 +eca_resnet33ts.ra2_in1k,86.257,13.743,97.150,2.850,19.68,288,1.000,bicubic,+5.585,+1.786,-5 +resnest50d.in1k,86.248,13.752,97.069,2.931,27.48,224,0.875,bilinear,+5.284,+1.685,-34 +gcvit_xxtiny.in1k,86.244,13.756,97.107,2.893,12.00,224,0.875,bicubic,+6.516,+2.027,+64 +regnetx_032.tv2_in1k,86.244,13.756,97.092,2.908,15.30,224,0.965,bicubic,+5.318,+1.814,-33 +vit_base_patch16_384.augreg_in1k,86.229,13.771,96.964,3.036,86.86,384,1.000,bicubic,+5.127,+1.844,-51 +convmixer_768_32.in1k,86.220,13.780,97.037,2.963,21.11,224,0.960,bicubic,+6.052,+1.963,+35 +cspdarknet53.ra_in1k,86.190,13.810,97.007,2.993,27.64,256,0.887,bilinear,+6.128,+1.927,+39 +efficientnet_el_pruned.in1k,86.186,13.814,97.028,2.972,10.59,300,0.904,bicubic,+5.886,+1.806,+22 +tresnet_m.miil_in1k,86.186,13.814,96.667,3.333,31.39,224,0.875,bilinear,+5.388,+1.811,-25 +rexnet_150.nav_in1k,86.171,13.829,97.060,2.940,9.73,224,0.875,bicubic,+5.847,+1.886,+17 +inception_v4.tf_in1k,86.163,13.837,96.921,3.079,42.68,299,0.875,bicubic,+6.007,+1.953,+33 +inception_resnet_v2.tf_in1k,86.131,13.869,97.045,2.955,55.84,299,0.897,bicubic,+5.669,+1.737,+3 +xcit_tiny_12_p8_224.fb_in1k,86.114,13.886,97.088,2.912,6.71,224,1.000,bicubic,+6.425,+2.378,+58 +resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k,86.101,13.899,97.212,2.788,25.03,224,0.875,bilinear,+5.763,+1.814,+12 +res2net101d.in1k,86.099,13.901,96.851,3.149,45.23,224,0.875,bilinear,+4.875,+1.499,-76 +resnet50.a2_in1k,86.097,13.903,96.701,3.299,25.56,288,1.000,bicubic,+5.325,+1.713,-29 +tf_efficientnet_el.in1k,86.082,13.918,96.953,3.047,10.59,300,0.904,bicubic,+5.830,+1.835,+16 +mobilevitv2_150.cvnets_in1k,86.082,13.918,96.857,3.143,10.59,256,0.888,bicubic,+5.712,+1.783,+5 +cspresnext50.ra_in1k,86.077,13.923,97.107,2.893,20.57,256,0.887,bilinear,+5.521,+1.785,-15 +convnext_pico_ols.d1_in1k,86.067,13.933,97.017,2.983,9.06,288,1.000,bicubic,+5.603,+1.771,-6 +resnet101s.gluon_in1k,86.064,13.936,97.032,2.968,44.67,224,0.875,bicubic,+5.762,+1.882,+8 +edgenext_small_rw.sw_in1k,86.054,13.946,96.928,3.072,7.83,320,1.000,bicubic,+5.596,+1.738,-6 +lambda_resnet50ts.a1h_in1k,86.047,13.953,96.742,3.258,21.54,256,0.950,bicubic,+4.891,+1.644,-75 +seresnext101_32x4d.gluon_in1k,86.026,13.974,96.972,3.027,48.96,224,0.875,bicubic,+5.134,+1.676,-48 +poolformer_s24.sail_in1k,86.013,13.987,97.032,2.968,21.39,224,0.900,bicubic,+5.717,+1.960,+6 +convnext_pico.d1_in1k,86.013,13.987,96.934,3.066,9.05,288,0.950,bicubic,+5.599,+1.884,-5 +resnetblur50.bt_in1k,85.996,14.004,96.985,3.015,25.56,288,0.950,bicubic,+5.762,+1.751,+10 +tf_efficientnet_b2.ap_in1k,85.981,14.019,96.812,3.188,9.11,260,0.890,bicubic,+5.673,+1.784,0 +ecaresnet26t.ra2_in1k,85.979,14.021,97.041,2.959,16.01,320,0.950,bicubic,+6.129,+1.951,+28 +resnet152.a3_in1k,85.979,14.021,96.851,3.149,60.19,224,0.950,bicubic,+5.433,+1.851,-25 +seresnext101_64x4d.gluon_in1k,85.973,14.027,96.981,3.019,88.23,224,0.875,bicubic,+5.077,+1.685,-56 +efficientformerv2_s1.snap_dist_in1k,85.962,14.038,96.870,3.130,6.19,224,0.950,bicubic,+6.274,+1.816,+40 +vit_base_patch32_224.augreg_in21k_ft_in1k,85.956,14.044,97.128,2.872,88.22,224,0.900,bicubic,+5.240,+1.562,-41 +resnext50_32x4d.ra_in1k,85.932,14.068,97.037,2.963,25.03,288,0.950,bicubic,+5.234,+1.647,-40 +fbnetv3_d.ra2_in1k,85.930,14.070,97.026,2.974,10.31,256,0.950,bilinear,+6.248,+2.082,+38 +resnet152d.gluon_in1k,85.919,14.081,96.814,3.186,60.21,224,0.875,bicubic,+5.443,+1.612,-23 +vit_large_patch32_384.orig_in21k_ft_in1k,85.911,14.089,97.372,2.628,306.63,384,1.000,bicubic,+4.401,+1.282,-125 +tf_efficientnet_b2.aa_in1k,85.896,14.104,96.864,3.136,9.11,260,0.890,bicubic,+5.812,+1.958,+7 +tf_efficientnetv2_b2.in1k,85.885,14.115,96.889,3.111,10.10,260,0.890,bicubic,+5.691,+1.847,+1 +vit_base_patch16_224.sam_in1k,85.872,14.128,96.691,3.309,86.57,224,0.900,bicubic,+5.628,+1.935,-4 +resnet101d.gluon_in1k,85.864,14.136,96.674,3.326,44.57,224,0.875,bicubic,+5.438,+1.650,-22 +repvgg_b2g4.rvgg_in1k,85.862,14.138,96.804,3.196,61.76,224,0.875,bilinear,+6.480,+2.128,+51 +mixnet_xl.ra_in1k,85.804,14.196,96.716,3.284,11.90,224,0.875,bicubic,+5.322,+1.780,-31 +inception_resnet_v2.tf_ens_adv_in1k,85.763,14.237,96.759,3.241,55.84,299,0.897,bicubic,+5.785,+1.813,+4 +tf_efficientnet_lite3.in1k,85.757,14.243,96.891,3.109,8.20,300,0.904,bilinear,+5.949,+1.979,+19 +resnext101_32x4d.gluon_in1k,85.753,14.247,96.637,3.363,44.18,224,0.875,bicubic,+5.413,+1.707,-21 +xcit_tiny_24_p16_224.fb_in1k,85.746,14.254,96.932,3.068,12.12,224,1.000,bicubic,+6.298,+2.054,+42 +legacy_seresnext101_32x4d.in1k,85.742,14.258,96.772,3.228,48.96,224,0.875,bilinear,+5.512,+1.746,-10 +resnet101.a3_in1k,85.740,14.260,96.496,3.504,44.55,224,0.950,bicubic,+5.926,+1.890,+14 +res2net50d.in1k,85.729,14.271,96.763,3.237,25.72,224,0.875,bilinear,+5.475,+1.727,-18 +regnety_320.pycls_in1k,85.729,14.271,96.723,3.277,145.05,224,0.875,bicubic,+4.921,+1.485,-67 +cspresnet50.ra_in1k,85.725,14.275,96.802,3.198,21.62,256,0.887,bilinear,+6.135,+2.090,+27 +resmlp_big_24_224.fb_in1k,85.701,14.299,96.426,3.574,129.14,224,0.875,bicubic,+4.665,+1.408,-92 +resnext101_64x4d.gluon_in1k,85.693,14.307,96.641,3.358,83.46,224,0.875,bicubic,+5.093,+1.649,-51 +resnet33ts.ra2_in1k,85.691,14.309,96.755,3.245,19.68,288,1.000,bicubic,+5.965,+1.927,+13 +xception71.tf_in1k,85.689,14.311,96.774,3.226,42.34,299,0.903,bicubic,+5.817,+1.846,-2 +resnet50.ra_in1k,85.674,14.326,96.889,3.111,25.56,288,0.950,bicubic,+5.838,+1.923,+3 +ecaresnet50t.a3_in1k,85.674,14.326,96.727,3.273,25.57,224,0.950,bicubic,+6.122,+2.033,+25 +deit_small_patch16_224.fb_in1k,85.672,14.328,96.911,3.089,22.05,224,0.900,bicubic,+5.828,+1.867,-1 +dpn107.mx_in1k,85.672,14.328,96.757,3.243,86.92,224,0.875,bicubic,+5.504,+1.815,-18 +efficientnet_em.ra2_in1k,85.667,14.333,96.947,3.053,6.90,240,0.882,bicubic,+6.427,+2.153,+46 +efficientnet_b2_pruned.in1k,85.644,14.356,96.742,3.258,8.31,260,0.890,bicubic,+5.724,+1.890,-12 +resmlp_36_224.fb_in1k,85.623,14.377,96.795,3.205,44.69,224,0.875,bicubic,+5.850,+1.911,+2 +mobilevitv2_125.cvnets_in1k,85.578,14.422,96.665,3.335,7.48,256,0.888,bicubic,+5.898,+1.807,+10 +resnet50.bt_in1k,85.576,14.425,96.832,3.168,25.56,288,0.950,bicubic,+5.936,+1.940,+12 +levit_conv_192.fb_dist_in1k,85.571,14.429,96.742,3.258,10.95,224,0.900,bicubic,+5.733,+1.964,-7 +resnet32ts.ra2_in1k,85.569,14.431,96.866,3.134,17.96,288,1.000,bicubic,+6.177,+2.214,+24 +levit_192.fb_dist_in1k,85.569,14.431,96.740,3.260,10.95,224,0.900,bicubic,+5.731,+1.956,-7 +resnet152c.gluon_in1k,85.567,14.433,96.644,3.356,60.21,224,0.875,bicubic,+5.657,+1.800,-18 +pit_xs_distilled_224.in1k,85.565,14.435,96.686,3.314,11.00,224,0.900,bicubic,+6.385,+2.324,+42 +tf_efficientnetv2_b1.in1k,85.556,14.444,96.731,3.269,8.14,240,0.882,bicubic,+6.094,+2.009,+17 +regnety_120.pycls_in1k,85.550,14.450,96.776,3.224,51.82,224,0.875,bicubic,+5.164,+1.648,-51 +fbnetv3_b.ra2_in1k,85.520,14.480,96.857,3.143,8.60,256,0.950,bilinear,+6.378,+2.115,+41 +regnetx_320.pycls_in1k,85.520,14.480,96.671,3.329,107.81,224,0.875,bicubic,+5.274,+1.649,-39 +convnextv2_femto.fcmae_ft_in1k,85.503,14.497,96.806,3.194,5.23,288,0.950,bicubic,+6.165,+2.246,+22 +nf_regnet_b1.ra2_in1k,85.503,14.497,96.789,3.211,10.22,288,0.900,bicubic,+6.197,+2.049,+23 +dpn92.mx_in1k,85.503,14.497,96.650,3.350,37.67,224,0.875,bicubic,+5.465,+1.790,-29 +regnety_160.pycls_in1k,85.490,14.510,96.616,3.384,83.59,224,0.875,bicubic,+5.192,+1.654,-47 +resnet152.gluon_in1k,85.479,14.521,96.550,3.450,60.19,224,0.875,bicubic,+5.785,+1.814,-9 +resnetrs50.tf_in1k,85.475,14.525,96.731,3.269,35.69,224,0.910,bicubic,+5.579,+1.759,-27 +rexnet_130.nav_in1k,85.469,14.531,96.680,3.320,7.56,224,0.875,bicubic,+5.965,+2.002,+3 +dpn131.mx_in1k,85.450,14.550,96.620,3.380,79.25,224,0.875,bicubic,+5.636,+1.920,-20 +regnetx_160.pycls_in1k,85.396,14.604,96.650,3.350,54.28,224,0.875,bicubic,+5.530,+1.822,-27 +tf_efficientnet_b2.in1k,85.396,14.604,96.586,3.414,9.11,260,0.890,bicubic,+5.792,+1.872,-6 +convnext_tiny.fb_in22k_ft_in1k,85.381,14.619,96.804,3.196,28.59,288,1.000,bicubic,+6.483,+2.130,+43 +dla102x2.in1k,85.375,14.625,96.629,3.371,41.28,224,0.875,bilinear,+5.931,+1.991,+4 +dpn98.mx_in1k,85.351,14.649,96.511,3.489,61.57,224,0.875,bicubic,+5.681,+1.857,-12 +regnetx_016.tv2_in1k,85.349,14.651,96.817,3.183,9.19,224,0.965,bicubic,+5.913,+2.049,+2 +gmlp_s16_224.ra3_in1k,85.349,14.651,96.644,3.356,19.42,224,0.875,bicubic,+5.705,+2.022,-12 +botnet26t_256.c1_in1k,85.332,14.668,96.631,3.369,12.49,256,0.950,bicubic,+6.076,+2.097,+16 +seresnext50_32x4d.gluon_in1k,85.328,14.672,96.669,3.331,27.56,224,0.875,bicubic,+5.418,+1.845,-39 +skresnext50_32x4d.ra_in1k,85.328,14.672,96.390,3.610,27.48,224,0.875,bicubic,+5.166,+1.750,-49 +xception65.tf_in1k,85.315,14.685,96.644,3.356,39.92,299,0.903,bicubic,+5.759,+1.990,-12 +resnet101c.gluon_in1k,85.306,14.694,96.411,3.589,44.57,224,0.875,bicubic,+5.764,+1.825,-11 +lambda_resnet26t.c1_in1k,85.298,14.702,96.721,3.280,10.96,256,0.940,bicubic,+6.210,+2.130,+22 +resnext50_32x4d.a3_in1k,85.298,14.702,96.328,3.672,25.03,224,0.950,bicubic,+6.030,+2.022,+9 +regnety_064.pycls_in1k,85.283,14.717,96.648,3.352,30.58,224,0.875,bicubic,+5.569,+1.882,-28 +resnet34d.ra2_in1k,85.272,14.728,96.701,3.299,21.82,288,0.950,bicubic,+6.836,+2.357,+62 +coat_lite_mini.in1k,85.272,14.728,96.686,3.314,11.01,224,0.900,bicubic,+6.170,+2.078,+18 +resmlp_24_224.fb_in1k,85.264,14.736,96.490,3.510,30.02,224,0.875,bicubic,+5.890,+1.944,-6 +convnext_femto_ols.d1_in1k,85.253,14.747,96.772,3.228,5.23,288,0.950,bicubic,+6.329,+2.246,+26 +cait_xxs24_224.fb_dist_in1k,85.238,14.762,96.714,3.286,11.96,224,1.000,bicubic,+6.854,+2.398,+66 +regnety_080.pycls_in1k,85.238,14.762,96.639,3.361,39.18,224,0.875,bicubic,+5.370,+1.807,-48 +pvt_v2_b1.in1k,85.210,14.790,96.629,3.371,14.01,224,0.900,bicubic,+6.508,+2.127,+41 +xcit_tiny_12_p16_224.fb_dist_in1k,85.200,14.800,96.597,3.403,6.72,224,1.000,bicubic,+6.626,+2.399,+44 +halonet26t.a1h_in1k,85.193,14.807,96.454,3.546,12.48,256,0.950,bicubic,+6.087,+2.148,+9 +inception_v3.gluon_in1k,85.189,14.811,96.535,3.465,23.83,299,0.875,bicubic,+6.383,+2.161,+28 +resnext101_32x8d.tv_in1k,85.189,14.811,96.456,3.544,88.79,224,0.875,bilinear,+5.879,+1.936,-9 +convnext_femto.d1_in1k,85.163,14.837,96.704,3.296,5.22,288,0.950,bicubic,+6.447,+2.273,+34 +resnet101.gluon_in1k,85.163,14.837,96.366,3.634,44.55,224,0.875,bicubic,+5.853,+1.844,-12 +hrnet_w48.ms_in1k,85.155,14.845,96.490,3.510,77.47,224,0.875,bilinear,+5.853,+1.974,-10 +regnetx_120.pycls_in1k,85.138,14.862,96.475,3.525,46.11,224,0.875,bicubic,+5.550,+1.733,-32 +eca_halonext26ts.c1_in1k,85.131,14.869,96.580,3.420,10.76,256,0.940,bicubic,+5.645,+1.980,-28 +resnet50.am_in1k,85.131,14.869,96.569,3.431,25.56,224,0.875,bicubic,+6.133,+2.173,+8 +tf_efficientnet_b1.ap_in1k,85.131,14.869,96.407,3.593,7.79,240,0.882,bicubic,+5.851,+2.099,-12 +eca_botnext26ts_256.c1_in1k,85.121,14.879,96.511,3.489,10.59,256,0.950,bicubic,+5.853,+1.905,-12 +legacy_xception.tf_in1k,85.121,14.879,96.469,3.531,22.86,299,0.897,bicubic,+6.081,+2.087,+4 +hrnet_w64.ms_in1k,85.112,14.888,96.738,3.262,128.06,224,0.875,bilinear,+5.638,+2.092,-31 +resnet50.fb_ssl_yfcc100m_ft_in1k,85.102,14.899,96.859,3.141,25.56,224,0.875,bilinear,+5.868,+2.033,-11 +lambda_resnet26rpt_256.c1_in1k,85.099,14.901,96.565,3.435,10.99,256,0.940,bicubic,+6.131,+2.127,+3 +res2net101_26w_4s.in1k,85.097,14.903,96.381,3.619,45.21,224,0.875,bilinear,+5.895,+1.945,-10 +tf_efficientnet_cc_b1_8e.in1k,85.065,14.935,96.428,3.572,39.72,240,0.882,bicubic,+5.763,+2.054,-20 +dpn68b.ra_in1k,85.061,14.939,96.449,3.551,12.61,288,1.000,bicubic,+5.699,+2.011,-28 +resnest26d.gluon_in1k,85.016,14.984,96.639,3.361,17.07,224,0.875,bilinear,+6.532,+2.345,+33 +xcit_nano_12_p8_384.fb_dist_in1k,85.014,14.986,96.629,3.371,3.05,384,1.000,bicubic,+7.194,+2.589,+79 +resnext50_32x4d.gluon_in1k,85.005,14.995,96.428,3.572,25.03,224,0.875,bicubic,+5.645,+1.998,-30 +tf_efficientnet_b0.ns_jft_in1k,84.999,15.001,96.505,3.495,5.29,224,0.875,bicubic,+6.329,+2.131,+20 +coat_tiny.in1k,84.971,15.029,96.422,3.578,5.50,224,0.900,bicubic,+6.545,+2.374,+35 +regnety_040.pycls_in1k,84.956,15.044,96.612,3.388,20.65,224,0.875,bicubic,+5.724,+1.956,-20 +dla169.in1k,84.929,15.071,96.537,3.463,53.39,224,0.875,bilinear,+6.221,+2.191,+14 +tf_efficientnet_b1.aa_in1k,84.918,15.082,96.364,3.636,7.79,240,0.882,bicubic,+6.088,+2.166,+2 +resnet50d.a3_in1k,84.903,15.097,96.285,3.715,25.58,224,0.950,bicubic,+6.181,+2.049,+9 +legacy_seresnext50_32x4d.in1k,84.897,15.103,96.428,3.572,27.56,224,0.875,bilinear,+5.821,+1.996,-14 +mobilevitv2_100.cvnets_in1k,84.894,15.106,96.388,3.612,4.90,256,0.888,bicubic,+6.818,+2.218,+53 +hrnet_w44.ms_in1k,84.884,15.116,96.428,3.572,67.06,224,0.875,bilinear,+5.992,+2.064,-6 +regnety_008_tv.tv2_in1k,84.879,15.120,96.637,3.363,6.43,224,0.965,bicubic,+6.205,+2.251,+10 +resnet50s.gluon_in1k,84.879,15.120,96.439,3.561,25.68,224,0.875,bicubic,+6.161,+2.197,+5 +regnetx_080.pycls_in1k,84.865,15.136,96.432,3.568,39.57,224,0.875,bicubic,+5.663,+1.880,-28 +visformer_tiny.in1k,84.847,15.153,96.507,3.493,10.32,224,0.900,bicubic,+6.685,+2.343,+42 +levit_conv_128.fb_dist_in1k,84.847,15.153,96.353,3.647,9.21,224,0.900,bicubic,+6.353,+2.345,+15 +levit_128.fb_dist_in1k,84.845,15.155,96.353,3.647,9.21,224,0.900,bicubic,+6.355,+2.341,+15 +resnet50d.gluon_in1k,84.837,15.163,96.398,3.602,25.58,224,0.875,bicubic,+5.759,+1.930,-25 +res2net50_26w_8s.in1k,84.837,15.163,96.355,3.645,48.40,224,0.875,bilinear,+5.895,+2.061,-17 +dla60_res2next.in1k,84.830,15.170,96.405,3.595,17.03,224,0.875,bilinear,+6.396,+2.261,+18 +vit_tiny_patch16_384.augreg_in21k_ft_in1k,84.824,15.176,96.714,3.286,5.79,384,1.000,bicubic,+6.400,+2.174,+18 +resnet152.tv_in1k,84.824,15.176,96.238,3.762,60.19,224,0.875,bilinear,+6.502,+2.190,+27 +dla60_res2net.in1k,84.822,15.178,96.479,3.521,20.85,224,0.875,bilinear,+6.360,+2.277,+12 +resnet26t.ra2_in1k,84.822,15.178,96.388,3.612,16.01,320,1.000,bicubic,+6.490,+2.264,+23 +mixnet_l.ft_in1k,84.818,15.182,96.328,3.672,7.33,224,0.875,bicubic,+5.852,+2.148,-25 +dla102x.in1k,84.807,15.193,96.552,3.448,26.31,224,0.875,bilinear,+6.309,+2.316,+3 +hrnet_w18.ms_aug_in1k,84.785,15.214,96.462,3.538,21.30,224,0.950,bilinear,+6.659,+2.410,+33 +xception41.tf_in1k,84.785,15.214,96.411,3.589,26.97,299,0.903,bicubic,+6.281,+2.135,0 +pit_xs_224.in1k,84.781,15.219,96.499,3.502,10.62,224,0.900,bicubic,+6.601,+2.335,+27 +regnetx_064.pycls_in1k,84.771,15.229,96.494,3.506,26.21,224,0.875,bicubic,+5.705,+2.036,-34 +resnet34.a1_in1k,84.762,15.238,96.227,3.773,21.80,288,1.000,bicubic,+6.844,+3.313,+43 +poolformerv2_s12.sail_in1k,84.756,15.244,96.373,3.627,11.89,224,1.000,bicubic,+6.752,+2.508,+36 +gcresnext26ts.ch_in1k,84.756,15.244,96.293,3.707,10.48,288,1.000,bicubic,+6.342,+2.123,+10 +hrnet_w40.ms_in1k,84.745,15.255,96.552,3.448,57.56,224,0.875,bilinear,+5.815,+2.088,-32 +repvgg_b2.rvgg_in1k,84.726,15.274,96.471,3.529,89.02,224,0.875,bilinear,+5.934,+2.051,-22 +res2net50_26w_6s.in1k,84.726,15.274,96.281,3.719,37.05,224,0.875,bilinear,+6.158,+2.159,-10 +resmlp_12_224.fb_distilled_in1k,84.719,15.281,96.225,3.775,15.35,224,0.875,bicubic,+6.765,+2.665,+35 +vit_base_patch32_384.augreg_in1k,84.717,15.283,96.326,3.674,88.30,384,1.000,bicubic,+5.965,+2.102,-23 +legacy_seresnet152.in1k,84.709,15.291,96.424,3.576,66.82,224,0.875,bilinear,+6.049,+2.054,-15 +cs3darknet_m.c2ns_in1k,84.694,15.306,96.486,3.514,9.31,288,0.950,bicubic,+7.060,+2.470,+47 +SelecSls60b.in1k,84.662,15.338,96.300,3.700,32.77,224,0.875,bicubic,+6.248,+2.266,0 +bat_resnext26ts.ch_in1k,84.653,15.347,96.268,3.732,10.73,256,0.900,bicubic,+6.401,+2.170,+9 +hrnet_w32.ms_in1k,84.649,15.351,96.417,3.583,41.23,224,0.875,bilinear,+6.205,+2.229,-7 +seresnext26d_32x4d.bt_in1k,84.642,15.357,96.261,3.739,16.81,288,0.950,bicubic,+5.829,+2.022,-34 +tf_efficientnetv2_b0.in1k,84.625,15.375,96.279,3.721,7.14,224,0.875,bicubic,+6.267,+2.265,+1 +efficientnet_b1.ft_in1k,84.611,15.389,96.334,3.666,7.79,256,1.000,bicubic,+5.811,+1.992,-34 +regnetx_040.pycls_in1k,84.604,15.396,96.379,3.621,22.12,224,0.875,bicubic,+6.112,+2.137,-16 +regnety_032.pycls_in1k,84.600,15.400,96.417,3.583,19.44,224,0.875,bicubic,+5.724,+2.009,-42 +vit_relpos_base_patch32_plus_rpn_256.sw_in1k,84.598,15.402,96.014,3.986,119.42,256,0.900,bicubic,+5.114,+1.876,-87 +seresnext26t_32x4d.bt_in1k,84.589,15.411,96.381,3.619,16.81,288,0.950,bicubic,+5.845,+2.069,-34 +hrnet_w30.ms_in1k,84.583,15.417,96.381,3.619,37.71,224,0.875,bilinear,+6.391,+2.159,+3 +efficientnet_es.ra_in1k,84.583,15.417,96.304,3.696,5.44,224,0.875,bicubic,+6.529,+2.380,+13 +tf_mixnet_l.in1k,84.572,15.428,96.244,3.756,7.33,224,0.875,bicubic,+5.796,+2.242,-39 +wide_resnet101_2.tv_in1k,84.549,15.451,96.351,3.649,126.89,224,0.875,bilinear,+5.711,+2.069,-46 +vit_small_patch16_224.augreg_in1k,84.531,15.469,96.272,3.728,22.05,224,0.900,bicubic,+5.685,+1.984,-48 +dla60x.in1k,84.529,15.471,96.289,3.711,17.35,224,0.875,bilinear,+6.289,+2.255,-2 +legacy_seresnet101.in1k,84.499,15.501,96.326,3.674,49.33,224,0.875,bilinear,+6.113,+2.064,-14 +cs3darknet_focus_m.c2ns_in1k,84.482,15.518,96.417,3.583,9.30,288,0.950,bicubic,+7.198,+2.451,+48 +seresnext26ts.ch_in1k,84.482,15.518,96.319,3.681,10.39,288,1.000,bicubic,+6.210,+2.225,-10 +resnet50.a3_in1k,84.482,15.518,96.003,3.997,25.56,224,0.950,bicubic,+6.434,+2.223,+6 +tf_efficientnet_b1.in1k,84.478,15.522,96.076,3.924,7.79,240,0.882,bicubic,+5.918,+1.982,-34 +coat_lite_tiny.in1k,84.459,15.541,96.383,3.617,5.72,224,0.900,bicubic,+6.939,+2.461,+30 +tf_efficientnet_em.in1k,84.453,15.547,96.185,3.815,6.90,240,0.882,bicubic,+6.331,+2.139,-2 +wide_resnet50_2.tv_in1k,84.429,15.571,96.259,3.741,68.88,224,0.875,bilinear,+5.949,+2.173,-30 +repvgg_b1.rvgg_in1k,84.420,15.580,96.217,3.783,57.42,224,0.875,bilinear,+6.052,+2.121,-20 +efficientnet_b1_pruned.in1k,84.391,15.610,96.140,3.860,6.33,240,0.882,bicubic,+6.148,+2.248,-13 +vit_base_patch16_224.augreg_in1k,84.388,15.612,96.042,3.958,86.57,224,0.900,bicubic,+5.234,+1.952,-78 +res2net50_26w_4s.in1k,84.359,15.642,96.091,3.909,25.70,224,0.875,bilinear,+6.409,+2.239,+5 +hardcorenas_f.miil_green_in1k,84.320,15.680,96.025,3.975,8.20,224,0.875,bilinear,+6.222,+2.219,-7 +res2net50_14w_8s.in1k,84.311,15.688,96.076,3.924,25.06,224,0.875,bilinear,+6.153,+2.230,-11 +SelecSls60.in1k,84.284,15.716,96.097,3.903,30.67,224,0.875,bicubic,+6.300,+2.265,0 +mobilevit_s.cvnets_in1k,84.275,15.725,96.259,3.741,5.58,256,0.900,bicubic,+5.963,+2.115,-23 +regnetx_032.pycls_in1k,84.245,15.755,96.242,3.758,15.30,224,0.875,bicubic,+6.077,+2.160,-16 +ese_vovnet19b_dw.ra_in1k,84.226,15.774,96.259,3.741,6.54,288,0.950,bicubic,+6.482,+2.471,+9 +eca_resnext26ts.ch_in1k,84.224,15.776,96.191,3.809,10.30,288,1.000,bicubic,+6.224,+2.265,-6 +convnextv2_atto.fcmae_ft_in1k,84.224,15.776,96.059,3.941,3.71,288,0.950,bicubic,+6.464,+2.333,+7 +convnext_atto_ols.a2_in1k,84.220,15.780,96.217,3.783,3.70,288,0.950,bicubic,+7.004,+2.541,+32 +resnet50c.gluon_in1k,84.216,15.784,96.163,3.837,25.58,224,0.875,bicubic,+6.204,+2.175,-10 +res2next50.in1k,84.213,15.787,96.001,3.999,24.67,224,0.875,bilinear,+5.971,+2.165,-27 +dla102.in1k,84.183,15.817,96.206,3.794,33.27,224,0.875,bilinear,+6.161,+2.274,-13 +densenetblur121d.ra_in1k,84.171,15.829,96.240,3.760,8.00,288,0.950,bicubic,+6.851,+2.450,+20 +rexnet_100.nav_in1k,84.158,15.842,96.247,3.753,4.80,224,0.875,bicubic,+6.296,+2.603,-5 +inception_v3.tf_in1k,84.147,15.853,95.913,4.087,23.83,299,0.875,bicubic,+6.285,+2.047,-4 +convnext_atto.d2_in1k,84.141,15.859,96.200,3.800,3.70,288,0.950,bicubic,+7.133,+2.498,+35 +res2net50_48w_2s.in1k,84.117,15.883,95.963,4.037,25.29,224,0.875,bilinear,+6.603,+2.411,+9 +xcit_tiny_12_p16_224.fb_in1k,84.111,15.889,96.236,3.764,6.72,224,1.000,bicubic,+6.971,+2.520,+27 +tf_efficientnet_lite2.in1k,84.085,15.915,96.076,3.924,6.09,260,0.890,bicubic,+6.621,+2.326,+8 +poolformer_s12.sail_in1k,84.045,15.955,96.178,3.822,11.92,224,0.900,bicubic,+6.811,+2.646,+20 +resnet34.a2_in1k,84.045,15.955,95.924,4.076,21.80,288,1.000,bicubic,+6.887,+2.650,+23 +efficientnet_b0.ra_in1k,84.034,15.966,95.965,4.035,5.29,224,0.875,bicubic,+6.340,+2.433,-6 +crossvit_9_dagger_240.in1k,84.015,15.985,96.084,3.916,8.78,240,0.875,bicubic,+7.035,+2.464,+29 +tf_efficientnet_cc_b0_8e.in1k,83.974,16.026,96.067,3.933,24.01,224,0.875,bicubic,+6.068,+2.407,-16 +hardcorenas_e.miil_green_in1k,83.968,16.032,95.898,4.101,8.07,224,0.875,bilinear,+6.184,+2.201,-12 +gmixer_24_224.ra3_in1k,83.966,16.034,95.854,4.146,24.72,224,0.875,bicubic,+5.940,+2.186,-28 +regnety_016.pycls_in1k,83.963,16.037,96.005,3.995,11.20,224,0.875,bicubic,+6.102,+2.287,-17 +resnext50_32x4d.tv_in1k,83.947,16.053,95.967,4.033,25.03,224,0.875,bilinear,+6.329,+2.271,-8 +resnet50.gluon_in1k,83.940,16.060,96.018,3.982,25.56,224,0.875,bicubic,+6.360,+2.300,-6 +densenet161.tv_in1k,83.910,16.090,96.022,3.978,28.68,224,0.875,bicubic,+6.552,+2.380,+2 +inception_v3.tf_adv_in1k,83.897,16.103,95.937,4.063,23.83,299,0.875,bicubic,+6.305,+2.207,-10 +mobilenetv2_120d.ra_in1k,83.897,16.103,95.903,4.097,5.83,224,0.875,bicubic,+6.595,+2.399,+3 +resnet101.tv_in1k,83.857,16.143,95.888,4.112,44.55,224,0.875,bilinear,+6.481,+2.346,-2 +tinynet_a.in1k,83.825,16.175,95.817,4.183,6.19,192,0.875,bicubic,+6.167,+2.277,-17 +resnet26d.bt_in1k,83.791,16.209,95.960,4.040,16.01,288,0.950,bicubic,+6.383,+2.322,-5 +dpn68b.mx_in1k,83.788,16.212,95.980,4.020,12.61,224,0.875,bicubic,+6.270,+2.128,-11 +hardcorenas_d.miil_green_in1k,83.767,16.233,95.743,4.257,7.50,224,0.875,bilinear,+6.327,+2.253,-9 +inception_v3.tv_in1k,83.765,16.235,95.886,4.114,23.83,299,0.875,bicubic,+6.331,+2.412,-9 +xcit_nano_12_p8_224.fb_dist_in1k,83.737,16.263,95.954,4.046,3.05,224,1.000,bicubic,+7.405,+2.860,+35 +dla60.in1k,83.712,16.288,95.928,4.072,22.04,224,0.875,bilinear,+6.666,+2.610,+9 +repvgg_b1g4.rvgg_in1k,83.699,16.301,96.027,3.973,39.97,224,0.875,bilinear,+6.117,+2.191,-19 +resnext26ts.ra2_in1k,83.699,16.301,95.982,4.018,10.30,288,1.000,bicubic,+6.525,+2.518,0 +convmixer_1024_20_ks9_p14.in1k,83.682,16.318,95.884,4.116,24.38,224,0.960,bicubic,+6.746,+2.534,+11 +legacy_seresnet50.in1k,83.669,16.331,95.984,4.016,28.09,224,0.875,bilinear,+6.025,+2.226,-26 +regnetx_008.tv2_in1k,83.669,16.331,95.975,4.025,7.26,224,0.965,bicubic,+6.365,+2.309,-11 +tf_efficientnet_b0.ap_in1k,83.652,16.348,95.785,4.215,5.29,224,0.875,bicubic,+6.562,+2.523,+1 +skresnet34.ra_in1k,83.645,16.355,95.928,4.072,22.28,224,0.875,bicubic,+6.735,+2.784,+9 +tf_efficientnet_cc_b0_4e.in1k,83.643,16.357,95.738,4.262,13.31,224,0.875,bicubic,+6.341,+2.402,-12 +seresnet50.a3_in1k,83.618,16.382,95.713,4.287,28.09,224,0.950,bicubic,+6.590,+2.639,+1 +densenet121.ra_in1k,83.598,16.402,96.052,3.948,7.98,288,0.950,bicubic,+7.098,+2.684,+19 +resmlp_12_224.fb_in1k,83.569,16.431,95.760,4.240,15.35,224,0.875,bicubic,+6.921,+2.582,+9 +densenet201.tv_in1k,83.554,16.446,95.809,4.191,20.01,224,0.875,bicubic,+6.268,+2.329,-15 +mobilenetv3_large_100.miil_in21k_ft_in1k,83.554,16.446,95.452,4.548,5.48,224,0.875,bilinear,+5.636,+1.686,-46 +mixnet_m.ft_in1k,83.532,16.468,95.687,4.313,5.01,224,0.875,bicubic,+6.274,+2.269,-15 +legacy_seresnext26_32x4d.in1k,83.524,16.476,95.709,4.292,16.79,224,0.875,bicubic,+6.416,+2.395,-9 +gernet_s.idstcv_in1k,83.513,16.487,95.798,4.202,8.17,224,0.875,bilinear,+6.603,+2.482,+1 +tf_efficientnet_b0.aa_in1k,83.502,16.498,95.706,4.294,5.29,224,0.875,bicubic,+6.668,+2.486,+1 +hrnet_w18.ms_in1k,83.494,16.506,95.909,4.091,21.30,224,0.875,bilinear,+6.742,+2.465,+1 +resnet34.bt_in1k,83.468,16.532,95.963,4.037,21.80,288,0.950,bicubic,+6.988,+2.609,+11 +SelecSls42b.in1k,83.449,16.551,95.736,4.264,32.46,224,0.875,bicubic,+6.279,+2.344,-17 +efficientformerv2_s0.snap_dist_in1k,83.398,16.602,95.817,4.183,3.60,224,0.950,bicubic,+7.280,+2.957,+16 +hardcorenas_c.miil_green_in1k,83.353,16.647,95.713,4.287,5.52,224,0.875,bilinear,+6.295,+2.545,-14 +tf_efficientnet_lite1.in1k,83.338,16.662,95.647,4.353,5.42,240,0.882,bicubic,+6.694,+2.417,-2 +dpn68.mx_in1k,83.195,16.805,95.617,4.383,12.61,224,0.875,bicubic,+6.849,+2.609,+9 +tf_mixnet_m.in1k,83.189,16.811,95.469,4.531,5.01,224,0.875,bicubic,+6.235,+2.315,-12 +regnetx_016.pycls_in1k,83.180,16.820,95.740,4.260,9.19,224,0.875,bicubic,+6.256,+2.325,-11 +tf_efficientnet_es.in1k,83.180,16.820,95.583,4.417,5.44,224,0.875,bicubic,+6.580,+2.381,-4 +xcit_nano_12_p16_384.fb_dist_in1k,83.174,16.826,95.755,4.245,3.05,384,1.000,bicubic,+7.716,+3.059,+23 +mobilenetv2_140.ra_in1k,83.174,16.826,95.687,4.313,6.11,224,0.875,bicubic,+6.654,+2.821,-1 +levit_128s.fb_dist_in1k,83.052,16.948,95.533,4.467,7.78,224,0.900,bicubic,+6.526,+2.661,-4 +levit_conv_128s.fb_dist_in1k,83.046,16.954,95.536,4.464,7.78,224,0.900,bicubic,+6.526,+2.550,-3 +repvgg_a2.rvgg_in1k,82.994,17.006,95.593,4.407,28.21,224,0.875,bilinear,+6.536,+2.591,-1 +resnet50.tv_in1k,82.960,17.040,95.472,4.529,25.56,224,0.875,bilinear,+6.830,+2.614,+3 +resnet26.bt_in1k,82.917,17.083,95.726,4.274,16.00,288,0.950,bicubic,+6.551,+2.546,-2 +hardcorenas_b.miil_green_in1k,82.870,17.130,95.395,4.605,5.18,224,0.875,bilinear,+6.334,+2.635,-11 +mobilevitv2_075.cvnets_in1k,82.796,17.204,95.570,4.430,2.87,256,0.888,bicubic,+7.188,+2.826,+11 +densenet169.tv_in1k,82.689,17.311,95.604,4.396,14.15,224,0.875,bicubic,+6.789,+2.576,+5 +vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k,82.680,17.320,95.845,4.155,6.36,384,1.000,bicubic,+6.718,+2.581,+2 +regnety_004.tv2_in1k,82.642,17.358,95.499,4.501,4.34,224,0.965,bicubic,+7.044,+2.803,+9 +edgenext_x_small.in1k,82.580,17.420,95.459,4.541,2.34,288,1.000,bicubic,+6.892,+2.693,+4 +tf_efficientnet_b0.in1k,82.563,17.437,95.418,4.582,5.29,224,0.875,bicubic,+6.031,+2.410,-16 +mixnet_s.ft_in1k,82.518,17.482,95.363,4.637,4.13,224,0.875,bicubic,+6.524,+2.093,-3 +vit_small_patch32_224.augreg_in21k_ft_in1k,82.516,17.484,95.664,4.336,22.88,224,0.900,bicubic,+6.522,+2.866,-5 +regnety_008.pycls_in1k,82.482,17.518,95.491,4.509,6.26,224,0.875,bicubic,+6.180,+2.431,-9 +efficientnet_lite0.ra_in1k,82.373,17.627,95.296,4.704,4.65,224,0.875,bicubic,+6.893,+2.774,+6 +resnest14d.gluon_in1k,82.356,17.644,95.337,4.663,10.61,224,0.875,bilinear,+6.846,+2.833,+4 +hardcorenas_a.miil_green_in1k,82.328,17.672,95.296,4.704,5.26,224,0.875,bilinear,+6.398,+2.786,-6 +efficientnet_es_pruned.in1k,82.298,17.702,95.296,4.704,5.44,224,0.875,bicubic,+7.284,+2.850,+13 +mobilenetv3_rw.rmsp_in1k,82.264,17.736,95.234,4.766,5.48,224,0.875,bicubic,+6.644,+2.531,-3 +semnasnet_100.rmsp_in1k,82.260,17.740,95.222,4.778,3.89,224,0.875,bicubic,+6.810,+2.628,+4 +mobilenetv3_large_100.ra_in1k,82.181,17.819,95.190,4.810,5.48,224,0.875,bicubic,+6.415,+2.652,-8 +vit_tiny_patch16_224.augreg_in21k_ft_in1k,82.076,17.924,95.474,4.526,5.72,224,0.900,bicubic,+6.622,+2.630,0 +mobilenetv2_110d.ra_in1k,82.076,17.924,95.072,4.928,4.52,224,0.875,bicubic,+7.020,+2.886,+7 +tf_mixnet_s.in1k,82.036,17.964,95.126,4.874,4.13,224,0.875,bicubic,+6.384,+2.490,-9 +repvgg_b0.rvgg_in1k,82.001,17.999,95.104,4.896,15.82,224,0.875,bilinear,+6.859,+2.688,+1 +deit_tiny_distilled_patch16_224.fb_in1k,81.993,18.007,95.138,4.862,5.91,224,0.900,bicubic,+7.493,+3.246,+16 +mixer_b16_224.goog_in21k_ft_in1k,81.976,18.024,94.451,5.549,59.88,224,0.875,bicubic,+5.374,+2.227,-35 +hrnet_w18_small_v2.ms_in1k,81.972,18.029,95.160,4.840,15.60,224,0.875,bilinear,+6.858,+2.746,0 +tf_efficientnet_lite0.in1k,81.948,18.052,95.160,4.840,4.65,224,0.875,bicubic,+7.118,+2.988,+5 +tinynet_b.in1k,81.880,18.120,94.876,5.124,3.73,188,0.875,bicubic,+6.902,+2.690,+2 +tf_mobilenetv3_large_100.in1k,81.843,18.157,95.062,4.938,5.48,224,0.875,bilinear,+6.327,+2.468,-12 +pit_ti_distilled_224.in1k,81.779,18.221,95.096,4.904,5.10,224,0.900,bicubic,+7.525,+3.142,+11 +densenet121.tv_in1k,81.732,18.268,95.036,4.964,7.98,224,0.875,bicubic,+6.968,+2.882,+3 +regnety_006.pycls_in1k,81.715,18.285,95.115,4.885,6.06,224,0.875,bicubic,+6.445,+2.589,-9 +regnetx_004_tv.tv2_in1k,81.681,18.319,95.062,4.938,5.50,224,0.965,bicubic,+7.085,+2.884,+5 +resnet18d.ra2_in1k,81.679,18.321,95.076,4.923,11.71,288,0.950,bicubic,+7.885,+3.239,+15 +dla34.in1k,81.666,18.334,94.867,5.133,15.74,224,0.875,bilinear,+7.028,+2.803,+1 +xcit_nano_12_p8_224.fb_in1k,81.647,18.353,95.271,4.729,3.05,224,1.000,bicubic,+7.731,+3.101,+11 +crossvit_9_240.in1k,81.615,18.385,94.978,5.022,8.55,240,0.875,bicubic,+7.657,+3.010,+9 +fbnetc_100.rmsp_in1k,81.562,18.438,94.970,5.030,5.57,224,0.875,bilinear,+6.432,+2.582,-13 +mobilevit_xs.cvnets_in1k,81.549,18.451,95.025,4.975,2.32,256,0.900,bicubic,+6.913,+2.679,-2 +legacy_seresnet34.in1k,81.540,18.460,94.893,5.107,21.96,224,0.875,bilinear,+6.732,+2.767,-7 +regnetx_008.pycls_in1k,81.485,18.515,95.051,4.949,7.26,224,0.875,bicubic,+6.455,+2.713,-13 +resnet34.gluon_in1k,81.483,18.517,94.801,5.199,21.80,224,0.875,bicubic,+6.905,+2.817,-3 +mnasnet_100.rmsp_in1k,81.446,18.554,94.914,5.086,4.38,224,0.875,bicubic,+6.796,+2.790,-8 +vgg19_bn.tv_in1k,81.438,18.562,94.771,5.229,143.68,224,0.875,bilinear,+7.222,+2.927,-2 +vit_base_patch32_224.augreg_in1k,81.143,18.857,94.427,5.572,88.22,224,0.900,bicubic,+6.249,+2.649,-14 +convit_tiny.fb_in1k,81.126,18.874,95.036,4.964,5.71,224,0.875,bicubic,+8.014,+3.324,+10 +crossvit_tiny_240.in1k,81.092,18.908,94.983,5.017,7.01,240,0.875,bicubic,+7.756,+3.075,+6 +resnet18.a1_in1k,81.041,18.959,94.357,5.643,11.69,288,1.000,bicubic,+7.883,+3.331,+7 +spnasnet_100.rmsp_in1k,80.880,19.119,94.528,5.472,4.42,224,0.875,bilinear,+6.794,+2.708,-6 +resnet34.a3_in1k,80.816,19.184,94.355,5.645,21.80,224,0.950,bicubic,+7.846,+3.247,+10 +ghostnet_100.in1k,80.705,19.295,94.293,5.707,5.18,224,0.875,bilinear,+6.723,+2.827,-6 +regnety_004.pycls_in1k,80.652,19.348,94.682,5.318,4.34,224,0.875,bicubic,+6.624,+2.932,-8 +skresnet18.ra_in1k,80.648,19.352,94.378,5.622,11.96,224,0.875,bicubic,+7.610,+3.206,+4 +regnetx_006.pycls_in1k,80.639,19.361,94.530,5.470,6.20,224,0.875,bicubic,+6.771,+2.852,-6 +pit_ti_224.in1k,80.597,19.404,94.618,5.383,4.85,224,0.900,bicubic,+7.687,+3.218,+6 +resnet18.fb_swsl_ig1b_ft_in1k,80.586,19.414,94.737,5.263,11.69,224,0.875,bilinear,+7.304,+3.005,-2 +vgg16_bn.tv_in1k,80.571,19.429,94.600,5.400,138.37,224,0.875,bilinear,+7.201,+3.086,-5 +semnasnet_075.rmsp_in1k,80.481,19.519,94.317,5.684,2.91,224,0.875,bicubic,+7.489,+3.178,0 +resnet34.tv_in1k,80.383,19.617,94.430,5.570,21.80,224,0.875,bilinear,,, +resnet18.a2_in1k,80.306,19.694,94.101,5.899,11.69,288,1.000,bicubic,+7.934,+3.505,+5 +mobilenetv2_100.ra_in1k,80.253,19.747,94.186,5.814,3.50,224,0.875,bicubic,+7.277,+3.176,-2 +xcit_nano_12_p16_224.fb_dist_in1k,80.238,19.762,94.353,5.647,3.05,224,1.000,bicubic,+7.928,+3.493,+5 +vit_base_patch32_224.sam_in1k,80.214,19.786,93.823,6.177,88.22,224,0.900,bicubic,+6.520,+2.809,-13 +resnet18.fb_ssl_yfcc100m_ft_in1k,80.084,19.916,94.592,5.408,11.69,224,0.875,bilinear,+7.490,+3.174,-2 +tf_mobilenetv3_large_075.in1k,80.084,19.916,94.184,5.816,3.99,224,0.875,bilinear,+6.652,+2.832,-14 +deit_tiny_patch16_224.fb_in1k,80.011,19.988,94.447,5.553,5.72,224,0.900,bicubic,+7.840,+3.335,+4 +hrnet_w18_small.ms_in1k,79.550,20.450,93.906,6.093,13.19,224,0.875,bilinear,+7.212,+3.228,-1 +vgg19.tv_in1k,79.484,20.516,93.868,6.132,143.67,224,0.875,bilinear,+7.106,+2.994,-4 +regnetx_004.pycls_in1k,79.412,20.588,93.849,6.151,5.16,224,0.875,bicubic,+7.014,+3.021,-6 +tf_mobilenetv3_large_minimal_100.in1k,79.232,20.768,93.702,6.298,3.92,224,0.875,bilinear,+6.974,+3.064,-2 +edgenext_xx_small.in1k,79.175,20.825,93.819,6.181,1.33,288,1.000,bicubic,+7.297,+3.267,+2 +legacy_seresnet18.in1k,79.166,20.834,93.776,6.224,11.78,224,0.875,bicubic,+7.400,+3.444,+3 +resnet14t.c3_in1k,79.140,20.860,93.567,6.433,10.08,224,0.950,bicubic,+6.886,+3.265,-4 +vgg16.tv_in1k,79.038,20.962,93.644,6.356,138.36,224,0.875,bilinear,+7.446,+3.260,+2 +vgg13_bn.tv_in1k,78.995,21.005,93.661,6.339,133.05,224,0.875,bilinear,+7.407,+3.283,+2 +vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k,78.991,21.009,93.898,6.102,6.34,224,0.900,bicubic,+7.193,+3.074,-2 +lcnet_100.ra2_in1k,78.897,21.103,93.548,6.452,2.95,224,0.875,bicubic,+6.801,+3.186,-6 +pvt_v2_b0.in1k,78.756,21.244,93.836,6.164,3.67,224,0.900,bicubic,+8.096,+3.640,+2 +tinynet_c.in1k,78.444,21.556,93.127,6.873,2.46,184,0.875,bicubic,+7.204,+3.393,-1 +resnet18.gluon_in1k,78.372,21.628,93.129,6.871,11.69,224,0.875,bicubic,+7.534,+3.375,-1 +mobilevitv2_050.cvnets_in1k,78.114,21.887,93.571,6.429,1.37,256,0.888,bicubic,+7.975,+3.651,+2 +vgg11_bn.tv_in1k,77.956,22.044,93.232,6.768,132.87,224,0.875,bilinear,+7.573,+3.424,-1 +xcit_nano_12_p16_224.fb_in1k,77.904,22.096,93.437,6.563,3.05,224,1.000,bicubic,+7.942,+3.675,+1 +regnety_002.pycls_in1k,77.420,22.580,92.905,7.095,3.16,224,0.875,bicubic,+7.142,+3.377,-2 +resnet18.tv_in1k,77.287,22.713,92.747,7.253,11.69,224,0.875,bilinear,+7.527,+3.677,+1 +mixer_l16_224.goog_in21k_ft_in1k,77.279,22.721,90.584,9.416,208.20,224,0.875,bicubic,+5.225,+2.910,-14 +vgg13.tv_in1k,77.227,22.773,92.692,7.308,133.05,224,0.875,bilinear,+7.295,+3.442,-2 +mobilevit_xxs.cvnets_in1k,76.604,23.396,92.675,7.325,1.27,256,0.900,bicubic,+7.672,+3.733,0 +resnet18.a3_in1k,76.454,23.546,92.233,7.767,11.69,224,0.950,bicubic,+8.200,+4.057,+3 +vgg11.tv_in1k,76.384,23.616,92.156,7.844,132.86,224,0.875,bilinear,+7.362,+3.532,-3 +resnet10t.c3_in1k,76.173,23.827,92.222,7.778,5.44,224,0.950,bicubic,+7.815,+4.182,0 +regnetx_002.pycls_in1k,76.124,23.876,92.194,7.806,2.68,224,0.875,bicubic,+7.378,+3.658,-2 +lcnet_075.ra2_in1k,76.036,23.964,92.060,7.940,2.36,224,0.875,bicubic,+7.254,+3.700,-4 +dla60x_c.in1k,75.622,24.378,92.169,7.831,1.32,224,0.875,bilinear,+7.724,+3.747,0 +mobilenetv3_small_100.lamb_in1k,74.913,25.087,91.492,8.508,2.54,224,0.875,bicubic,+7.257,+3.856,0 +tf_mobilenetv3_small_100.in1k,74.721,25.279,91.261,8.739,2.54,224,0.875,bilinear,+6.803,+3.587,-3 +tinynet_d.in1k,74.290,25.710,90.917,9.083,2.34,152,0.875,bicubic,+7.316,+3.855,-1 +mnasnet_small.lamb_in1k,73.801,26.199,90.732,9.268,2.03,224,0.875,bicubic,+7.605,+4.228,-1 +dla46x_c.in1k,73.649,26.351,91.090,8.910,1.07,224,0.875,bilinear,+7.661,+4.110,-1 +mobilenetv2_050.lamb_in1k,73.463,26.537,90.322,9.678,1.97,224,0.875,bicubic,+7.513,+4.234,-1 +tf_mobilenetv3_small_075.in1k,72.804,27.196,90.046,9.954,2.04,224,0.875,bilinear,+7.076,+3.920,-1 +dla46_c.in1k,72.622,27.378,90.503,9.497,1.30,224,0.875,bilinear,+7.750,+4.205,0 +mobilenetv3_small_075.lamb_in1k,72.312,27.688,89.668,10.332,2.04,224,0.875,bicubic,+7.079,+4.222,-2 +lcnet_050.ra2_in1k,70.423,29.577,88.838,11.162,1.88,224,0.875,bicubic,+7.303,+4.452,-1 +tf_mobilenetv3_small_minimal_100.in1k,70.098,29.902,88.516,11.485,2.04,224,0.875,bilinear,+7.208,+4.276,-1 +tinynet_e.in1k,66.806,33.194,86.280,13.720,2.04,106,0.875,bicubic,+6.940,+4.516,-1 +mobilenetv3_small_050.lamb_in1k,64.695,35.305,84.854,15.146,1.59,224,0.875,bicubic,+6.785,+4.674,-1 diff --git a/results/results-imagenet.csv b/results/results-imagenet.csv index 199dfd6e97..4e8e839b7d 100644 --- a/results/results-imagenet.csv +++ b/results/results-imagenet.csv @@ -1,791 +1,1003 @@ model,top1,top1_err,top5,top5_err,param_count,img_size,crop_pct,interpolation -eva_giant_patch14_560.m30m_ft_in22k_in1k,89.796,10.204,98.992,1.008,"1,014.45",560,1.000,bicubic -eva_giant_patch14_336.m30m_ft_in22k_in1k,89.568,10.432,98.952,1.048,"1,013.01",336,1.000,bicubic -eva_giant_patch14_336.clip_ft_in1k,89.476,10.524,98.824,1.176,"1,013.01",336,1.000,bicubic -eva_large_patch14_336.in22k_ft_in22k_in1k,89.204,10.796,98.850,1.150,304.53,336,1.000,bicubic -eva_giant_patch14_224.clip_ft_in1k,89.100,10.900,98.716,1.284,"1,012.56",224,1.000,bicubic -eva_large_patch14_336.in22k_ft_in1k,88.664,11.336,98.720,1.280,304.53,336,1.000,bicubic -beit_large_patch16_512.in22k_ft_in22k_in1k,88.598,11.402,98.656,1.344,305.67,512,1.000,bicubic -eva_large_patch14_196.in22k_ft_in22k_in1k,88.586,11.414,98.656,1.344,304.14,196,1.000,bicubic -vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,88.574,11.426,98.660,1.340,632.46,336,1.000,bicubic +eva02_large_patch14_448.mim_m38m_ft_in22k_in1k,90.052,9.948,99.048,0.952,305.08,448,1.000,bicubic +eva02_large_patch14_448.mim_in22k_ft_in22k_in1k,89.966,10.034,99.012,0.988,305.08,448,1.000,bicubic +eva_giant_patch14_560.m30m_ft_in22k_in1k,89.786,10.214,98.992,1.008,"1,014.45",560,1.000,bicubic +eva02_large_patch14_448.mim_in22k_ft_in1k,89.624,10.376,98.950,1.050,305.08,448,1.000,bicubic +eva02_large_patch14_448.mim_m38m_ft_in1k,89.570,10.430,98.922,1.078,305.08,448,1.000,bicubic +eva_giant_patch14_336.m30m_ft_in22k_in1k,89.566,10.434,98.952,1.048,"1,013.01",336,1.000,bicubic +eva_giant_patch14_336.clip_ft_in1k,89.466,10.534,98.826,1.174,"1,013.01",336,1.000,bicubic +eva_large_patch14_336.in22k_ft_in22k_in1k,89.208,10.792,98.854,1.146,304.53,336,1.000,bicubic +eva_giant_patch14_224.clip_ft_in1k,88.880,11.120,98.680,1.320,"1,012.56",224,0.900,bicubic +convnextv2_huge.fcmae_ft_in22k_in1k_512,88.858,11.142,98.748,1.252,660.29,512,1.000,bicubic +eva02_base_patch14_448.mim_in22k_ft_in22k_in1k,88.692,11.308,98.724,1.276,87.12,448,1.000,bicubic +convnextv2_huge.fcmae_ft_in22k_in1k_384,88.670,11.330,98.738,1.262,660.29,384,1.000,bicubic +eva_large_patch14_336.in22k_ft_in1k,88.670,11.330,98.722,1.278,304.53,336,1.000,bicubic +convnext_xxlarge.clip_laion2b_soup_ft_in1k,88.604,11.396,98.708,1.292,846.47,256,1.000,bicubic +beit_large_patch16_512.in22k_ft_in22k_in1k,88.596,11.404,98.656,1.344,305.67,512,1.000,bicubic +vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,88.592,11.408,98.662,1.338,632.46,336,1.000,bicubic +eva_large_patch14_196.in22k_ft_in22k_in1k,88.576,11.424,98.658,1.342,304.14,196,1.000,bicubic maxvit_xlarge_tf_512.in21k_ft_in1k,88.538,11.462,98.644,1.356,475.77,512,1.000,bicubic -beit_large_patch16_384.in22k_ft_in22k_in1k,88.404,11.596,98.608,1.392,305.00,384,1.000,bicubic -beitv2_large_patch16_224.in1k_ft_in22k_in1k,88.386,11.614,98.598,1.402,304.43,224,0.950,bicubic -tf_efficientnet_l2.ns_jft_in1k,88.352,11.648,98.650,1.350,480.31,800,0.960,bicubic -maxvit_xlarge_tf_384.in21k_ft_in1k,88.306,11.694,98.544,1.456,475.32,384,1.000,bicubic -vit_large_patch14_clip_336.openai_ft_in12k_in1k,88.266,11.734,98.532,1.468,304.53,336,1.000,bicubic -vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k,88.246,11.754,98.550,1.450,632.05,224,1.000,bicubic +beit_large_patch16_384.in22k_ft_in22k_in1k,88.402,11.598,98.608,1.392,305.00,384,1.000,bicubic +beitv2_large_patch16_224.in1k_ft_in22k_in1k,88.394,11.606,98.598,1.402,304.43,224,0.950,bicubic +tf_efficientnet_l2.ns_jft_in1k,88.352,11.648,98.648,1.352,480.31,800,0.960,bicubic +maxvit_xlarge_tf_384.in21k_ft_in1k,88.314,11.686,98.544,1.456,475.32,384,1.000,bicubic +convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384,88.306,11.694,98.582,1.418,200.13,384,1.000,bicubic +vit_large_patch14_clip_336.openai_ft_in12k_in1k,88.268,11.732,98.526,1.474,304.53,336,1.000,bicubic +vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k,88.256,11.744,98.552,1.448,632.05,224,1.000,bicubic +eva02_base_patch14_448.mim_in22k_ft_in1k,88.250,11.750,98.564,1.436,87.12,448,1.000,bicubic tf_efficientnet_l2.ns_jft_in1k_475,88.234,11.766,98.546,1.454,480.31,475,0.936,bicubic -maxvit_large_tf_512.in21k_ft_in1k,88.218,11.782,98.598,1.402,212.33,512,1.000,bicubic -maxvit_base_tf_512.in21k_ft_in1k,88.212,11.788,98.532,1.468,119.88,512,1.000,bicubic -vit_large_patch14_clip_336.laion2b_ft_in12k_in1k,88.182,11.818,98.572,1.428,304.53,336,1.000,bicubic -vit_large_patch14_clip_224.openai_ft_in12k_in1k,88.168,11.832,98.544,1.456,304.20,224,1.000,bicubic -maxvit_large_tf_384.in21k_ft_in1k,87.992,12.008,98.566,1.434,212.03,384,1.000,bicubic -eva_large_patch14_196.in22k_ft_in1k,87.938,12.062,98.492,1.508,304.14,196,1.000,bicubic -maxvit_base_tf_384.in21k_ft_in1k,87.922,12.078,98.542,1.458,119.65,384,1.000,bicubic -vit_large_patch14_clip_224.laion2b_ft_in12k_in1k,87.890,12.110,98.410,1.590,304.20,224,1.000,bicubic -vit_large_patch14_clip_224.openai_ft_in1k,87.852,12.148,98.428,1.572,304.20,224,1.000,bicubic -vit_large_patch14_clip_336.laion2b_ft_in1k,87.848,12.152,98.370,1.630,304.53,336,1.000,bicubic -convnext_xlarge.fb_in22k_ft_in1k_384,87.748,12.252,98.554,1.446,350.20,384,1.000,bicubic -deit3_large_patch16_384_in21ft1k,87.716,12.284,98.512,1.488,304.76,384,1.000,bicubic -vit_huge_patch14_clip_224.laion2b_ft_in1k,87.594,12.406,98.220,1.780,632.05,224,1.000,bicubic -beit_large_patch16_224.in22k_ft_in22k_in1k,87.476,12.524,98.304,1.696,304.43,224,0.900,bicubic +regnety_1280.swag_ft_in1k,88.230,11.770,98.686,1.314,644.81,384,1.000,bicubic +maxvit_large_tf_512.in21k_ft_in1k,88.226,11.774,98.598,1.402,212.33,512,1.000,bicubic +maxvit_base_tf_512.in21k_ft_in1k,88.218,11.782,98.528,1.472,119.88,512,1.000,bicubic +convnextv2_large.fcmae_ft_in22k_in1k_384,88.198,11.802,98.528,1.472,197.96,384,1.000,bicubic +vit_large_patch14_clip_336.laion2b_ft_in12k_in1k,88.178,11.822,98.570,1.430,304.53,336,1.000,bicubic +vit_large_patch14_clip_224.openai_ft_in12k_in1k,88.176,11.824,98.544,1.456,304.20,224,1.000,bicubic +caformer_b36.sail_in22k_ft_in1k_384,88.058,11.942,98.582,1.418,98.75,384,1.000,bicubic +maxvit_large_tf_384.in21k_ft_in1k,87.986,12.014,98.568,1.432,212.03,384,1.000,bicubic +convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320,87.958,12.042,98.476,1.524,200.13,320,1.000,bicubic +eva_large_patch14_196.in22k_ft_in1k,87.934,12.066,98.498,1.502,304.14,196,1.000,bicubic +maxvit_base_tf_384.in21k_ft_in1k,87.922,12.078,98.544,1.456,119.65,384,1.000,bicubic +vit_large_patch14_clip_224.laion2b_ft_in12k_in1k,87.892,12.108,98.410,1.590,304.20,224,1.000,bicubic +vit_large_patch14_clip_336.laion2b_ft_in1k,87.856,12.144,98.368,1.632,304.53,336,1.000,bicubic +vit_large_patch14_clip_224.openai_ft_in1k,87.852,12.148,98.426,1.574,304.20,224,1.000,bicubic +convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384,87.848,12.152,98.446,1.554,200.13,384,1.000,bicubic +maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k,87.828,12.172,98.372,1.628,116.14,384,1.000,bicubic +convnext_xlarge.fb_in22k_ft_in1k_384,87.752,12.248,98.556,1.444,350.20,384,1.000,bicubic +deit3_large_patch16_384.fb_in22k_ft_in1k,87.720,12.280,98.512,1.488,304.76,384,1.000,bicubic +convnextv2_base.fcmae_ft_in22k_in1k_384,87.644,12.356,98.416,1.584,88.72,384,1.000,bicubic +convformer_b36.sail_in22k_ft_in1k_384,87.602,12.398,98.434,1.566,99.88,384,1.000,bicubic +vit_huge_patch14_clip_224.laion2b_ft_in1k,87.588,12.412,98.218,1.782,632.05,224,1.000,bicubic +convnextv2_large.fcmae_ft_in22k_in1k,87.484,12.516,98.356,1.644,197.96,288,1.000,bicubic +beit_large_patch16_224.in22k_ft_in22k_in1k,87.478,12.522,98.304,1.696,304.43,224,0.900,bicubic convnext_large.fb_in22k_ft_in1k_384,87.472,12.528,98.386,1.614,197.77,384,1.000,bicubic -swinv2_large_window12to24_192to384_22kft1k,87.458,12.542,98.252,1.748,196.74,384,1.000,bicubic -convnext_xlarge.fb_in22k_ft_in1k,87.338,12.662,98.328,1.672,350.20,288,1.000,bicubic -vit_large_patch14_clip_224.laion2b_ft_in1k,87.292,12.708,98.246,1.754,304.20,224,1.000,bicubic -vit_base_patch16_clip_384.laion2b_ft_in12k_in1k,87.218,12.782,98.034,1.966,86.86,384,1.000,bicubic -deit3_huge_patch14_224_in21ft1k,87.184,12.816,98.260,1.740,632.13,224,1.000,bicubic -swin_large_patch4_window12_384,87.148,12.852,98.234,1.766,196.74,384,1.000,bicubic -swinv2_base_window12to24_192to384_22kft1k,87.108,12.892,98.236,1.764,87.92,384,1.000,bicubic -vit_large_patch16_384.augreg_in21k_ft_in1k,87.080,12.920,98.300,1.700,304.72,384,1.000,bicubic -volo_d5_512,87.044,12.956,97.968,2.032,296.09,512,1.150,bicubic -vit_base_patch16_clip_384.openai_ft_in12k_in1k,87.034,12.966,98.180,1.820,86.86,384,0.950,bicubic -convnext_large.fb_in22k_ft_in1k,87.016,12.984,98.206,1.794,197.77,288,1.000,bicubic -deit3_large_patch16_224_in21ft1k,86.978,13.022,98.238,1.762,304.37,224,1.000,bicubic -volo_d5_448,86.954,13.046,97.938,2.062,295.91,448,1.150,bicubic -swinv2_large_window12to16_192to256_22kft1k,86.936,13.064,98.108,1.892,196.74,256,0.900,bicubic +maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k,87.464,12.536,98.374,1.626,116.09,384,1.000,bicubic +swinv2_large_window12to24_192to384.ms_in22k_ft_in1k,87.464,12.536,98.250,1.750,196.74,384,1.000,bicubic +caformer_m36.sail_in22k_ft_in1k_384,87.450,12.550,98.308,1.692,56.20,384,1.000,bicubic +caformer_b36.sail_in22k_ft_in1k,87.422,12.578,98.326,1.674,98.75,224,1.000,bicubic +beitv2_large_patch16_224.in1k_ft_in1k,87.412,12.588,98.234,1.766,304.43,224,0.950,bicubic +coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k,87.382,12.618,98.312,1.688,73.88,384,1.000,bicubic +convnext_large_mlp.clip_laion2b_augreg_ft_in1k,87.334,12.666,98.218,1.782,200.13,256,1.000,bicubic +convnext_xlarge.fb_in22k_ft_in1k,87.330,12.670,98.328,1.672,350.20,288,1.000,bicubic +vit_large_patch14_clip_224.laion2b_ft_in1k,87.282,12.718,98.246,1.754,304.20,224,1.000,bicubic +vit_base_patch16_clip_384.laion2b_ft_in12k_in1k,87.208,12.792,98.034,1.966,86.86,384,1.000,bicubic +deit3_huge_patch14_224.fb_in22k_ft_in1k,87.186,12.814,98.260,1.740,632.13,224,1.000,bicubic +convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384,87.134,12.866,98.222,1.778,88.59,384,1.000,bicubic +swin_large_patch4_window12_384.ms_in22k_ft_in1k,87.132,12.868,98.234,1.766,196.74,384,1.000,bicubic +swinv2_base_window12to24_192to384.ms_in22k_ft_in1k,87.096,12.904,98.234,1.766,87.92,384,1.000,bicubic +vit_large_patch16_384.augreg_in21k_ft_in1k,87.084,12.916,98.302,1.698,304.72,384,1.000,bicubic +volo_d5_512.sail_in1k,87.058,12.942,97.970,2.030,296.09,512,1.150,bicubic +convnext_large.fb_in22k_ft_in1k,87.026,12.974,98.204,1.796,197.77,288,1.000,bicubic +vit_base_patch16_clip_384.openai_ft_in12k_in1k,87.024,12.976,98.180,1.820,86.86,384,0.950,bicubic +convformer_b36.sail_in22k_ft_in1k,86.998,13.002,98.172,1.828,99.88,224,1.000,bicubic +convnextv2_base.fcmae_ft_in22k_in1k,86.998,13.002,98.168,1.832,88.72,288,1.000,bicubic +deit3_large_patch16_224.fb_in22k_ft_in1k,86.982,13.018,98.236,1.764,304.37,224,1.000,bicubic +swinv2_large_window12to16_192to256.ms_in22k_ft_in1k,86.952,13.048,98.106,1.894,196.74,256,0.900,bicubic +volo_d5_448.sail_in1k,86.952,13.048,97.938,2.062,295.91,448,1.150,bicubic +maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k,86.894,13.106,98.014,1.986,116.14,224,0.950,bicubic +convformer_m36.sail_in22k_ft_in1k_384,86.892,13.108,98.116,1.884,57.05,384,1.000,bicubic +caformer_s36.sail_in22k_ft_in1k_384,86.856,13.144,98.212,1.788,39.30,384,1.000,bicubic tf_efficientnet_b7.ns_jft_in1k,86.840,13.160,98.094,1.906,66.35,600,0.949,bicubic -tf_efficientnetv2_l.in21k_ft_in1k,86.806,13.194,98.134,1.866,118.52,480,1.000,bicubic -beit_base_patch16_384.in22k_ft_in22k_in1k,86.800,13.200,98.138,1.862,86.74,384,1.000,bicubic -convnext_base.fb_in22k_ft_in1k_384,86.794,13.206,98.264,1.736,88.59,384,1.000,bicubic -volo_d4_448,86.790,13.210,97.882,2.118,193.41,448,1.150,bicubic -tf_efficientnetv2_xl.in21k_ft_in1k,86.748,13.252,98.018,1.982,208.12,512,1.000,bicubic -deit3_base_patch16_384_in21ft1k,86.744,13.256,98.112,1.888,86.88,384,1.000,bicubic -vit_base_patch16_clip_384.laion2b_ft_in1k,86.620,13.380,98.010,1.990,86.86,384,1.000,bicubic -maxvit_base_tf_512.in1k,86.598,13.402,97.920,2.080,119.88,512,1.000,bicubic -maxvit_large_tf_512.in1k,86.518,13.482,97.884,2.116,212.33,512,1.000,bicubic -volo_d3_448,86.494,13.506,97.710,2.290,86.63,448,1.000,bicubic -cait_m48_448,86.484,13.516,97.754,2.246,356.46,448,1.000,bicubic -beitv2_base_patch16_224.in1k_ft_in22k_in1k,86.480,13.520,98.048,1.952,86.53,224,0.900,bicubic -tf_efficientnet_b6.ns_jft_in1k,86.452,13.548,97.882,2.118,43.04,528,0.942,bicubic -swin_base_patch4_window12_384,86.432,13.568,98.058,1.942,87.90,384,1.000,bicubic -swin_large_patch4_window7_224,86.320,13.680,97.896,2.104,196.53,224,0.900,bicubic -maxvit_base_tf_384.in1k,86.294,13.706,97.804,2.196,119.65,384,1.000,bicubic -convnext_base.fb_in22k_ft_in1k,86.280,13.720,98.090,1.910,88.59,288,1.000,bicubic -swinv2_base_window12to16_192to256_22kft1k,86.274,13.726,97.896,2.104,87.92,256,0.900,bicubic -maxvit_large_tf_384.in1k,86.236,13.764,97.690,2.310,212.03,384,1.000,bicubic -vit_base_patch8_224.augreg2_in21k_ft_in1k,86.212,13.788,97.832,2.168,86.58,224,0.900,bicubic -vit_base_patch16_clip_384.openai_ft_in1k,86.206,13.794,97.874,2.126,86.86,384,1.000,bicubic -vit_large_r50_s32_384.augreg_in21k_ft_in1k,86.184,13.816,97.918,2.082,329.09,384,1.000,bicubic -vit_base_patch16_clip_224.laion2b_ft_in12k_in1k,86.170,13.830,97.754,2.246,86.57,224,0.950,bicubic -dm_nfnet_f6,86.144,13.856,97.730,2.270,438.36,576,0.956,bicubic -maxvit_small_tf_512.in1k,86.088,13.912,97.758,2.242,69.13,512,1.000,bicubic -tf_efficientnet_b5.ns_jft_in1k,86.088,13.912,97.752,2.248,30.39,456,0.934,bicubic -volo_d5_224,86.068,13.932,97.578,2.422,295.46,224,0.960,bicubic -cait_m36_384,86.054,13.946,97.730,2.270,271.22,384,1.000,bicubic -volo_d2_384,86.036,13.964,97.572,2.428,58.87,384,1.000,bicubic -vit_base_patch16_384.augreg_in21k_ft_in1k,86.006,13.994,98.000,2.000,86.86,384,1.000,bicubic -tf_efficientnetv2_m.in21k_ft_in1k,86.004,13.996,97.942,2.058,54.14,480,1.000,bicubic -xcit_large_24_p8_384_dist,86.000,14.000,97.686,2.314,188.93,384,1.000,bicubic -vit_base_patch16_clip_224.openai_ft_in12k_in1k,85.930,14.070,97.724,2.276,86.57,224,0.950,bicubic -efficientnet_b5.in12k_ft_in1k,85.888,14.112,97.732,2.268,30.39,448,1.000,bicubic -volo_d4_224,85.872,14.128,97.468,2.532,192.96,224,0.960,bicubic -vit_large_patch16_224.augreg_in21k_ft_in1k,85.842,14.158,97.824,2.176,304.33,224,0.900,bicubic -xcit_medium_24_p8_384_dist,85.816,14.184,97.592,2.408,84.32,384,1.000,bicubic -dm_nfnet_f5,85.814,14.186,97.488,2.512,377.21,544,0.954,bicubic -deit3_large_patch16_384,85.810,14.190,97.596,2.404,304.76,384,1.000,bicubic -vit_base_patch8_224.augreg_in21k_ft_in1k,85.796,14.204,97.790,2.210,86.58,224,0.900,bicubic -vit_base_patch32_clip_448.laion2b_ft_in12k_in1k,85.784,14.216,97.634,2.366,88.34,448,1.000,bicubic -convnext_small.fb_in22k_ft_in1k_384,85.778,14.222,97.892,2.108,50.22,384,1.000,bicubic -xcit_large_24_p16_384_dist,85.754,14.246,97.538,2.462,189.10,384,1.000,bicubic -deit3_base_patch16_224_in21ft1k,85.714,14.286,97.744,2.256,86.59,224,1.000,bicubic -dm_nfnet_f4,85.714,14.286,97.520,2.480,316.07,512,0.951,bicubic -tf_efficientnetv2_l.in1k,85.670,14.330,97.474,2.526,118.52,480,1.000,bicubic -maxvit_tiny_tf_512.in1k,85.662,14.338,97.580,2.420,31.05,512,1.000,bicubic -flexivit_large.1200ep_in1k,85.644,14.356,97.542,2.458,304.36,240,0.950,bicubic -xcit_small_24_p8_384_dist,85.556,14.444,97.572,2.428,47.63,384,1.000,bicubic -flexivit_large.600ep_in1k,85.538,14.462,97.492,2.508,304.36,240,0.950,bicubic -vit_medium_patch16_gap_384.in12k_ft_in1k,85.536,14.464,97.634,2.366,39.03,384,0.950,bicubic -maxvit_small_tf_384.in1k,85.534,14.466,97.464,2.536,69.02,384,1.000,bicubic -dm_nfnet_f3,85.522,14.478,97.462,2.538,254.92,416,0.940,bicubic -vit_base_patch16_clip_224.laion2b_ft_in1k,85.468,14.532,97.576,2.424,86.57,224,1.000,bicubic -cait_s36_384,85.460,14.540,97.480,2.520,68.37,384,1.000,bicubic -ig_resnext101_32x48d,85.428,14.572,97.572,2.428,828.41,224,0.875,bilinear -deit_base_distilled_patch16_384,85.422,14.578,97.332,2.668,87.63,384,1.000,bicubic -xcit_medium_24_p16_384_dist,85.412,14.588,97.406,2.594,84.40,384,1.000,bicubic -volo_d3_224,85.408,14.592,97.280,2.720,86.33,224,0.960,bicubic -xcit_large_24_p8_224_dist,85.396,14.604,97.410,2.590,188.93,224,1.000,bicubic -vit_base_patch32_clip_384.laion2b_ft_in12k_in1k,85.372,14.628,97.664,2.336,88.30,384,1.000,bicubic -tf_efficientnet_b8.ra_in1k,85.370,14.630,97.390,2.610,87.41,672,0.954,bicubic -tf_efficientnet_b8.ap_in1k,85.370,14.630,97.294,2.706,87.41,672,0.954,bicubic -vit_base_patch16_clip_224.openai_ft_in1k,85.280,14.720,97.440,2.560,86.57,224,0.900,bicubic -flexivit_large.300ep_in1k,85.280,14.720,97.406,2.594,304.36,240,0.950,bicubic -convnext_small.fb_in22k_ft_in1k,85.262,14.738,97.684,2.316,50.22,288,1.000,bicubic -swin_base_patch4_window7_224,85.252,14.748,97.562,2.438,87.77,224,0.900,bicubic -volo_d1_384,85.250,14.750,97.214,2.786,26.78,384,1.000,bicubic -mvitv2_large,85.250,14.750,97.196,2.804,217.99,224,0.900,bicubic -beit_base_patch16_224.in22k_ft_in22k_in1k,85.236,14.764,97.656,2.344,86.53,224,0.900,bicubic -vit_base_patch32_clip_384.openai_ft_in12k_in1k,85.212,14.788,97.402,2.598,88.30,384,0.950,bicubic -tf_efficientnetv2_m.in1k,85.208,14.792,97.368,2.632,54.14,480,1.000,bicubic -deit3_huge_patch14_224,85.204,14.796,97.358,2.642,632.13,224,0.900,bicubic -volo_d2_224,85.196,14.804,97.188,2.812,58.68,224,0.960,bicubic +regnety_320.swag_ft_in1k,86.836,13.164,98.362,1.638,145.05,384,1.000,bicubic +tf_efficientnetv2_l.in21k_ft_in1k,86.802,13.198,98.136,1.864,118.52,480,1.000,bicubic +beit_base_patch16_384.in22k_ft_in22k_in1k,86.800,13.200,98.136,1.864,86.74,384,1.000,bicubic +convnext_base.fb_in22k_ft_in1k_384,86.796,13.204,98.264,1.736,88.59,384,1.000,bicubic +volo_d4_448.sail_in1k,86.792,13.208,97.884,2.116,193.41,448,1.150,bicubic +tf_efficientnetv2_xl.in21k_ft_in1k,86.748,13.252,98.014,1.986,208.12,512,1.000,bicubic +deit3_base_patch16_384.fb_in22k_ft_in1k,86.738,13.262,98.114,1.886,86.88,384,1.000,bicubic +seresnextaa101d_32x8d.sw_in12k_ft_in1k_288,86.724,13.276,98.176,1.824,93.59,320,1.000,bicubic +maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k,86.642,13.358,98.020,1.980,116.09,224,0.950,bicubic +vit_base_patch16_clip_384.laion2b_ft_in1k,86.620,13.380,98.008,1.992,86.86,384,1.000,bicubic +maxvit_base_tf_512.in1k,86.602,13.398,97.918,2.082,119.88,512,1.000,bicubic +caformer_m36.sail_in22k_ft_in1k,86.594,13.406,98.024,1.976,56.20,224,1.000,bicubic +convnextv2_huge.fcmae_ft_in1k,86.580,13.420,97.972,2.028,660.29,288,1.000,bicubic +coatnet_2_rw_224.sw_in12k_ft_in1k,86.568,13.432,97.894,2.106,73.87,224,0.950,bicubic +maxvit_large_tf_512.in1k,86.526,13.474,97.880,2.120,212.33,512,1.000,bicubic +coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k,86.504,13.496,97.894,2.106,73.88,224,0.950,bicubic +convnext_base.clip_laiona_augreg_ft_in1k_384,86.502,13.498,97.968,2.032,88.59,384,1.000,bicubic +volo_d3_448.sail_in1k,86.500,13.500,97.710,2.290,86.63,448,1.000,bicubic +cait_m48_448.fb_dist_in1k,86.492,13.508,97.752,2.248,356.46,448,1.000,bicubic +seresnextaa101d_32x8d.sw_in12k_ft_in1k,86.484,13.516,98.030,1.970,93.59,288,1.000,bicubic +beitv2_base_patch16_224.in1k_ft_in22k_in1k,86.474,13.526,98.052,1.948,86.53,224,0.900,bicubic +tf_efficientnet_b6.ns_jft_in1k,86.456,13.544,97.884,2.116,43.04,528,0.942,bicubic +swin_base_patch4_window12_384.ms_in22k_ft_in1k,86.438,13.562,98.066,1.934,87.90,384,1.000,bicubic +caformer_b36.sail_in1k_384,86.408,13.592,97.814,2.186,98.75,384,1.000,bicubic +convformer_s36.sail_in22k_ft_in1k_384,86.378,13.622,97.984,2.016,40.01,384,1.000,bicubic +convnext_base.clip_laion2b_augreg_ft_in12k_in1k,86.370,13.630,97.984,2.016,88.59,256,1.000,bicubic +dm_nfnet_f6.dm_in1k,86.362,13.638,97.896,2.104,438.36,576,0.956,bicubic +swin_large_patch4_window7_224.ms_in22k_ft_in1k,86.312,13.688,97.902,2.098,196.53,224,0.900,bicubic +maxvit_base_tf_384.in1k,86.302,13.698,97.798,2.202,119.65,384,1.000,bicubic +convnext_base.fb_in22k_ft_in1k,86.274,13.726,98.092,1.908,88.59,288,1.000,bicubic +swinv2_base_window12to16_192to256.ms_in22k_ft_in1k,86.268,13.732,97.882,2.118,87.92,256,0.900,bicubic +maxvit_large_tf_384.in1k,86.228,13.772,97.690,2.310,212.03,384,1.000,bicubic +vit_base_patch8_224.augreg2_in21k_ft_in1k,86.218,13.782,97.832,2.168,86.58,224,0.900,bicubic +vit_base_patch16_clip_384.openai_ft_in1k,86.204,13.796,97.874,2.126,86.86,384,1.000,bicubic +convnext_small.in12k_ft_in1k_384,86.182,13.818,97.922,2.078,50.22,384,1.000,bicubic +vit_large_r50_s32_384.augreg_in21k_ft_in1k,86.182,13.818,97.922,2.078,329.09,384,1.000,bicubic +vit_base_patch16_clip_224.laion2b_ft_in12k_in1k,86.174,13.826,97.756,2.244,86.57,224,0.950,bicubic +caformer_m36.sail_in1k_384,86.166,13.834,97.820,2.180,56.20,384,1.000,bicubic +convnext_base.clip_laion2b_augreg_ft_in1k,86.158,13.842,97.680,2.320,88.59,256,1.000,bicubic +convformer_m36.sail_in22k_ft_in1k,86.146,13.854,97.850,2.150,57.05,224,1.000,bicubic +convnextv2_large.fcmae_ft_in1k,86.118,13.882,97.822,2.178,197.96,288,1.000,bicubic +dm_nfnet_f5.dm_in1k,86.098,13.902,97.688,2.312,377.21,544,0.954,bicubic +tf_efficientnet_b5.ns_jft_in1k,86.088,13.912,97.754,2.246,30.39,456,0.934,bicubic +maxvit_small_tf_512.in1k,86.082,13.918,97.764,2.236,69.13,512,1.000,bicubic +volo_d5_224.sail_in1k,86.070,13.930,97.576,2.424,295.46,224,0.960,bicubic +cait_m36_384.fb_dist_in1k,86.060,13.940,97.730,2.270,271.22,384,1.000,bicubic +volo_d2_384.sail_in1k,86.042,13.958,97.574,2.426,58.87,384,1.000,bicubic +regnety_160.swag_ft_in1k,86.010,13.990,98.054,1.946,83.59,384,1.000,bicubic +tf_efficientnetv2_m.in21k_ft_in1k,86.000,14.000,97.946,2.054,54.14,480,1.000,bicubic +vit_base_patch16_384.augreg_in21k_ft_in1k,85.996,14.004,98.002,1.998,86.86,384,1.000,bicubic +xcit_large_24_p8_384.fb_dist_in1k,85.996,14.004,97.690,2.310,188.93,384,1.000,bicubic +regnety_160.lion_in12k_ft_in1k,85.986,14.014,97.836,2.164,83.59,288,1.000,bicubic +regnety_160.sw_in12k_ft_in1k,85.986,14.014,97.834,2.166,83.59,288,1.000,bicubic +regnety_1280.swag_lc_in1k,85.982,14.018,97.850,2.150,644.81,224,0.965,bicubic +vit_base_patch16_clip_224.openai_ft_in12k_in1k,85.940,14.060,97.728,2.272,86.57,224,0.950,bicubic +efficientnet_b5.sw_in12k_ft_in1k,85.892,14.108,97.736,2.264,30.39,448,1.000,bicubic +volo_d4_224.sail_in1k,85.872,14.128,97.472,2.528,192.96,224,0.960,bicubic +dm_nfnet_f4.dm_in1k,85.836,14.164,97.664,2.336,316.07,512,0.951,bicubic +vit_large_patch16_224.augreg_in21k_ft_in1k,85.834,14.166,97.818,2.182,304.33,224,0.900,bicubic +xcit_medium_24_p8_384.fb_dist_in1k,85.816,14.184,97.592,2.408,84.32,384,1.000,bicubic +deit3_large_patch16_384.fb_in1k,85.812,14.188,97.598,2.402,304.76,384,1.000,bicubic +vit_base_patch8_224.augreg_in21k_ft_in1k,85.798,14.202,97.790,2.210,86.58,224,0.900,bicubic +caformer_s36.sail_in22k_ft_in1k,85.792,14.208,97.824,2.176,39.30,224,1.000,bicubic +convnext_small.fb_in22k_ft_in1k_384,85.778,14.222,97.890,2.110,50.22,384,1.000,bicubic +vit_base_patch32_clip_448.laion2b_ft_in12k_in1k,85.778,14.222,97.638,2.362,88.34,448,1.000,bicubic +xcit_large_24_p16_384.fb_dist_in1k,85.754,14.246,97.538,2.462,189.10,384,1.000,bicubic +convformer_b36.sail_in1k_384,85.742,14.258,97.524,2.476,99.88,384,1.000,bicubic +caformer_s36.sail_in1k_384,85.740,14.260,97.672,2.328,39.30,384,1.000,bicubic +eva02_small_patch14_336.mim_in22k_ft_in1k,85.716,14.284,97.632,2.368,22.13,336,1.000,bicubic +deit3_base_patch16_224.fb_in22k_ft_in1k,85.700,14.300,97.746,2.254,86.59,224,1.000,bicubic +dm_nfnet_f3.dm_in1k,85.686,14.314,97.570,2.430,254.92,416,0.940,bicubic +maxvit_tiny_tf_512.in1k,85.664,14.336,97.584,2.416,31.05,512,1.000,bicubic +tf_efficientnetv2_l.in1k,85.664,14.336,97.474,2.526,118.52,480,1.000,bicubic +flexivit_large.1200ep_in1k,85.646,14.354,97.542,2.458,304.36,240,0.950,bicubic +beitv2_base_patch16_224.in1k_ft_in1k,85.594,14.406,97.506,2.494,86.53,224,0.900,bicubic +convformer_m36.sail_in1k_384,85.580,14.420,97.542,2.458,57.05,384,1.000,bicubic +xcit_small_24_p8_384.fb_dist_in1k,85.554,14.446,97.570,2.430,47.63,384,1.000,bicubic +maxvit_small_tf_384.in1k,85.540,14.460,97.462,2.538,69.02,384,1.000,bicubic +flexivit_large.600ep_in1k,85.538,14.462,97.488,2.512,304.36,240,0.950,bicubic +vit_medium_patch16_gap_384.sw_in12k_ft_in1k,85.532,14.468,97.638,2.362,39.03,384,0.950,bicubic +caformer_b36.sail_in1k,85.506,14.494,97.310,2.690,98.75,224,1.000,bicubic +convnextv2_base.fcmae_ft_in1k,85.474,14.526,97.384,2.616,88.72,288,1.000,bicubic +vit_base_patch16_clip_224.laion2b_ft_in1k,85.466,14.534,97.574,2.426,86.57,224,1.000,bicubic +cait_s36_384.fb_dist_in1k,85.454,14.546,97.478,2.522,68.37,384,1.000,bicubic +deit_base_distilled_patch16_384.fb_in1k,85.426,14.574,97.330,2.670,87.63,384,1.000,bicubic +xcit_medium_24_p16_384.fb_dist_in1k,85.422,14.578,97.406,2.594,84.40,384,1.000,bicubic +caformer_s18.sail_in22k_ft_in1k_384,85.414,14.586,97.702,2.298,26.34,384,1.000,bicubic +convformer_s36.sail_in22k_ft_in1k,85.414,14.586,97.568,2.432,40.01,224,1.000,bicubic +volo_d3_224.sail_in1k,85.414,14.586,97.276,2.724,86.33,224,0.960,bicubic +xcit_large_24_p8_224.fb_dist_in1k,85.402,14.598,97.402,2.598,188.93,224,1.000,bicubic +regnety_120.sw_in12k_ft_in1k,85.400,14.600,97.582,2.418,51.82,288,1.000,bicubic +convformer_s36.sail_in1k_384,85.378,14.622,97.476,2.524,40.01,384,1.000,bicubic +tf_efficientnet_b8.ra_in1k,85.368,14.632,97.394,2.606,87.41,672,0.954,bicubic +vit_base_patch32_clip_384.laion2b_ft_in12k_in1k,85.366,14.634,97.656,2.344,88.30,384,1.000,bicubic +tf_efficientnet_b8.ap_in1k,85.364,14.636,97.292,2.708,87.41,672,0.954,bicubic +convnext_small.in12k_ft_in1k,85.330,14.670,97.546,2.454,50.22,288,1.000,bicubic +vit_base_patch16_clip_224.openai_ft_in1k,85.292,14.708,97.438,2.562,86.57,224,0.900,bicubic +flexivit_large.300ep_in1k,85.290,14.710,97.400,2.600,304.36,240,0.950,bicubic +swin_base_patch4_window7_224.ms_in22k_ft_in1k,85.272,14.728,97.564,2.436,87.77,224,0.900,bicubic +convnext_small.fb_in22k_ft_in1k,85.262,14.738,97.682,2.318,50.22,288,1.000,bicubic +volo_d1_384.sail_in1k,85.244,14.756,97.214,2.786,26.78,384,1.000,bicubic +mvitv2_large.fb_in1k,85.244,14.756,97.194,2.806,217.99,224,0.900,bicubic +caformer_m36.sail_in1k,85.232,14.768,97.200,2.800,56.20,224,1.000,bicubic +deit3_huge_patch14_224.fb_in1k,85.224,14.776,97.360,2.640,632.13,224,0.900,bicubic +vit_base_patch32_clip_384.openai_ft_in12k_in1k,85.216,14.784,97.406,2.594,88.30,384,0.950,bicubic +beit_base_patch16_224.in22k_ft_in22k_in1k,85.212,14.788,97.658,2.342,86.53,224,0.900,bicubic +tf_efficientnetv2_m.in1k,85.204,14.796,97.364,2.636,54.14,480,1.000,bicubic +volo_d2_224.sail_in1k,85.202,14.798,97.190,2.810,58.68,224,0.960,bicubic +dm_nfnet_f2.dm_in1k,85.194,14.806,97.346,2.654,193.78,352,0.920,bicubic tf_efficientnet_b4.ns_jft_in1k,85.162,14.838,97.470,2.530,19.34,380,0.922,bicubic -tf_efficientnet_b7.ap_in1k,85.120,14.880,97.252,2.748,66.35,600,0.949,bicubic -vit_base_patch16_224.augreg2_in21k_ft_in1k,85.106,14.894,97.534,2.466,86.57,224,0.900,bicubic -maxvit_tiny_tf_384.in1k,85.106,14.894,97.380,2.620,30.98,384,1.000,bicubic -xcit_small_24_p16_384_dist,85.098,14.902,97.310,2.690,47.67,384,1.000,bicubic -ig_resnext101_32x32d,85.094,14.906,97.438,2.562,468.53,224,0.875,bilinear -xcit_small_12_p8_384_dist,85.088,14.912,97.282,2.718,26.21,384,1.000,bicubic -xcit_medium_24_p8_224_dist,85.072,14.928,97.278,2.722,84.32,224,1.000,bicubic -deit3_base_patch16_384,85.072,14.928,97.254,2.746,86.88,384,1.000,bicubic -dm_nfnet_f2,85.064,14.936,97.240,2.760,193.78,352,0.920,bicubic -cait_s24_384,85.046,14.954,97.346,2.654,47.06,384,1.000,bicubic -regnetz_e8,85.030,14.970,97.264,2.736,57.70,320,1.000,bicubic -resnetrs420,85.008,14.992,97.124,2.876,191.89,416,1.000,bicubic -ecaresnet269d,84.976,15.024,97.226,2.774,102.09,352,1.000,bicubic -vit_base_r50_s16_384.orig_in21k_ft_in1k,84.972,15.028,97.288,2.712,98.95,384,1.000,bicubic -tf_efficientnet_b7.ra_in1k,84.936,15.064,97.204,2.796,66.35,600,0.949,bicubic -maxvit_large_tf_224.in1k,84.926,15.074,96.972,3.028,211.79,224,0.950,bicubic -xcit_large_24_p16_224_dist,84.918,15.082,97.132,2.868,189.10,224,1.000,bicubic -resnetv2_152x4_bitm,84.916,15.084,97.440,2.560,936.53,480,1.000,bilinear -xcit_small_24_p8_224_dist,84.876,15.124,97.188,2.812,47.63,224,1.000,bicubic -maxvit_base_tf_224.in1k,84.860,15.140,96.990,3.010,119.47,224,0.950,bicubic -convnext_large.fb_in1k,84.846,15.154,97.212,2.788,197.77,288,1.000,bicubic -deit3_small_patch16_384_in21ft1k,84.824,15.176,97.486,2.514,22.21,384,1.000,bicubic -efficientnetv2_rw_m.agc_in1k,84.808,15.192,97.148,2.852,53.24,416,1.000,bicubic -tf_efficientnet_b6.ap_in1k,84.788,15.212,97.138,2.862,43.04,528,0.942,bicubic -deit3_large_patch16_224,84.764,15.236,97.038,2.962,304.37,224,0.900,bicubic -resnetrs350,84.720,15.280,96.988,3.012,163.96,384,1.000,bicubic -xcit_small_12_p16_384_dist,84.706,15.294,97.118,2.882,26.25,384,1.000,bicubic -eca_nfnet_l2,84.698,15.302,97.264,2.736,56.72,384,1.000,bicubic -flexivit_base.1200ep_in1k,84.664,15.336,96.992,3.008,86.59,240,0.950,bicubic -maxxvit_rmlp_small_rw_256,84.628,15.372,97.062,2.938,66.01,256,0.950,bicubic -dm_nfnet_f1,84.626,15.374,97.100,2.900,132.63,320,0.910,bicubic -coatnet_rmlp_2_rw_224,84.600,15.400,96.736,3.264,73.88,224,0.950,bicubic -swinv2_base_window16_256,84.594,15.406,97.074,2.926,87.92,256,0.900,bicubic -seresnextaa101d_32x8d,84.568,15.432,97.070,2.930,93.59,288,1.000,bicubic -deit3_medium_patch16_224_in21ft1k,84.560,15.440,97.188,2.812,38.85,224,1.000,bicubic -vit_base_patch16_224.augreg_in21k_ft_in1k,84.532,15.468,97.294,2.706,86.57,224,0.900,bicubic -resnest269e,84.518,15.482,96.986,3.014,110.93,416,0.928,bicubic -flexivit_base.600ep_in1k,84.518,15.482,96.936,3.064,86.59,240,0.950,bicubic -resnetv2_152x2_bitm,84.510,15.490,97.432,2.568,236.34,448,1.000,bilinear -regnetz_040h,84.494,15.506,97.006,2.994,28.94,320,1.000,bicubic -maxvit_rmlp_small_rw_224,84.484,15.516,96.762,3.238,64.90,224,0.900,bicubic -resnetrs200,84.448,15.552,97.082,2.918,93.21,320,1.000,bicubic -gcvit_base,84.448,15.552,96.844,3.156,90.32,224,0.875,bicubic -resnetv2_101x3_bitm,84.440,15.560,97.382,2.618,387.93,448,1.000,bilinear -vit_large_r50_s32_224.augreg_in21k_ft_in1k,84.434,15.566,97.164,2.836,328.99,224,0.900,bicubic -convnext_base.fb_in1k,84.434,15.566,96.972,3.028,88.59,288,1.000,bicubic -resnetrs270,84.434,15.566,96.970,3.030,129.86,352,1.000,bicubic -maxvit_small_tf_224.in1k,84.434,15.566,96.820,3.180,68.93,224,0.950,bicubic -vit_medium_patch16_gap_256.in12k_ft_in1k,84.430,15.570,97.212,2.788,38.86,256,0.950,bicubic -mvitv2_base,84.422,15.578,96.864,3.136,51.47,224,0.900,bicubic -resmlp_big_24_224_in22ft1k,84.394,15.606,97.120,2.880,129.14,224,0.875,bicubic -flexivit_base.300ep_in1k,84.394,15.606,96.882,3.118,86.59,240,0.950,bicubic -xcit_large_24_p8_224,84.392,15.608,96.656,3.344,188.93,224,1.000,bicubic -seresnext101d_32x8d,84.370,15.630,96.916,3.084,93.59,288,1.000,bicubic -seresnet152d,84.362,15.638,97.040,2.960,66.84,320,1.000,bicubic -tf_efficientnetv2_s.in21k_ft_in1k,84.302,15.698,97.252,2.748,21.46,384,1.000,bicubic -swsl_resnext101_32x8d,84.284,15.716,97.176,2.824,88.79,224,0.875,bilinear -xcit_medium_24_p16_224_dist,84.274,15.726,96.940,3.060,84.40,224,1.000,bicubic -vit_base_patch16_224_miil.in21k_ft_in1k,84.268,15.732,96.802,3.198,86.54,224,0.875,bilinear -swinv2_base_window8_256,84.262,15.738,96.922,3.078,87.92,256,0.900,bicubic -tf_efficientnet_b5.ap_in1k,84.252,15.748,96.974,3.026,30.39,456,0.934,bicubic -regnetz_040,84.236,15.764,96.932,3.068,27.12,320,1.000,bicubic -xcit_small_12_p8_224_dist,84.232,15.768,96.876,3.124,26.21,224,1.000,bicubic -maxvit_rmlp_tiny_rw_256,84.232,15.768,96.778,3.222,29.15,256,0.950,bicubic -vit_base_patch16_384.orig_in21k_ft_in1k,84.210,15.790,97.218,2.782,86.86,384,1.000,bicubic -swinv2_small_window16_256,84.206,15.794,96.870,3.130,49.73,256,0.900,bicubic -crossvit_18_dagger_408,84.196,15.804,96.818,3.182,44.61,408,1.000,bicubic -seresnext101_32x8d,84.192,15.808,96.874,3.126,93.57,288,1.000,bicubic -ig_resnext101_32x16d,84.170,15.830,97.196,2.804,194.03,224,0.875,bilinear -volo_d1_224,84.164,15.836,96.776,3.224,26.63,224,0.960,bicubic -pit_b_distilled_224,84.144,15.856,96.856,3.144,74.79,224,0.900,bicubic -tf_efficientnet_b6.aa_in1k,84.110,15.890,96.886,3.114,43.04,528,0.942,bicubic -convnext_tiny.fb_in22k_ft_in1k_384,84.080,15.920,97.142,2.858,28.59,384,1.000,bicubic -cait_xs24_384,84.062,15.938,96.888,3.112,26.67,384,1.000,bicubic -regnetz_d8,84.050,15.950,96.998,3.002,23.37,320,1.000,bicubic -regnetz_d8_evos,84.050,15.950,96.994,3.006,23.46,320,0.950,bicubic -tf_efficientnet_b3.ns_jft_in1k,84.048,15.952,96.910,3.090,12.23,300,0.904,bicubic -vit_small_r26_s32_384.augreg_in21k_ft_in1k,84.046,15.954,97.328,2.672,36.47,384,1.000,bicubic -regnetz_d32,84.022,15.978,96.866,3.134,27.58,320,0.950,bicubic -resnetv2_50x3_bitm,84.014,15.986,97.124,2.876,217.32,448,1.000,bilinear -eca_nfnet_l1,84.010,15.990,97.028,2.972,41.41,320,1.000,bicubic -resnet200d,83.962,16.038,96.824,3.176,64.69,320,1.000,bicubic -edgenext_base,83.960,16.040,96.768,3.232,18.51,320,1.000,bicubic -regnety_080,83.932,16.068,96.888,3.112,39.18,288,1.000,bicubic -swin_s3_base_224,83.930,16.070,96.662,3.338,71.13,224,0.900,bicubic -tresnet_v2_l,83.902,16.098,96.492,3.508,46.17,224,0.875,bilinear -tf_efficientnetv2_s.in1k,83.894,16.106,96.698,3.302,21.46,384,1.000,bicubic -gcvit_small,83.884,16.116,96.658,3.342,51.09,224,0.875,bicubic -xcit_small_24_p16_224_dist,83.862,16.138,96.728,3.272,47.67,224,1.000,bicubic -swinv2_small_window8_256,83.856,16.144,96.640,3.360,49.73,256,0.900,bicubic -resnetv2_152x2_bit_teacher_384,83.844,16.156,97.118,2.882,236.34,384,1.000,bicubic -crossvit_15_dagger_408,83.838,16.162,96.782,3.218,28.50,408,1.000,bicubic -xcit_small_24_p8_224,83.838,16.162,96.636,3.364,47.63,224,1.000,bicubic -resnest200e,83.832,16.168,96.894,3.106,70.20,320,0.909,bicubic -tf_efficientnet_b5.ra_in1k,83.812,16.188,96.748,3.252,30.39,456,0.934,bicubic -efficientnetv2_rw_s.ra2_in1k,83.808,16.192,96.724,3.276,23.94,384,1.000,bicubic -vit_small_patch16_384.augreg_in21k_ft_in1k,83.802,16.198,97.102,2.898,22.20,384,1.000,bicubic -deit3_base_patch16_224,83.792,16.208,96.584,3.416,86.59,224,0.900,bicubic -swin_s3_small_224,83.770,16.230,96.450,3.550,49.74,224,0.900,bicubic -mvitv2_small,83.768,16.232,96.570,3.430,34.87,224,0.900,bicubic -xcit_tiny_24_p8_384_dist,83.740,16.260,96.712,3.288,12.11,384,1.000,bicubic -pvt_v2_b5,83.740,16.260,96.634,3.366,81.96,224,0.900,bicubic -xcit_medium_24_p8_224,83.734,16.266,96.394,3.606,84.32,224,1.000,bicubic -regnety_064,83.716,16.284,96.720,3.280,30.58,288,1.000,bicubic -pvt_v2_b4,83.716,16.284,96.674,3.326,62.56,224,0.900,bicubic -regnetv_064,83.712,16.288,96.748,3.252,30.58,288,1.000,bicubic -resnetrs152,83.712,16.288,96.614,3.386,86.62,320,1.000,bicubic -convnext_small.fb_in1k,83.706,16.294,96.810,3.190,50.22,288,1.000,bicubic -regnety_160,83.686,16.314,96.776,3.224,83.59,288,1.000,bicubic -resnet152d,83.680,16.320,96.738,3.262,60.21,320,1.000,bicubic -twins_svt_large,83.678,16.322,96.594,3.406,99.27,224,0.900,bicubic -coatnet_1_rw_224,83.608,16.392,96.388,3.612,41.72,224,0.950,bicubic -resmlp_big_24_distilled_224,83.588,16.412,96.648,3.352,129.14,224,0.875,bicubic -jx_nest_base,83.552,16.448,96.370,3.630,67.72,224,0.875,bicubic -cs3se_edgenet_x,83.548,16.452,96.670,3.330,50.72,320,1.000,bicubic -maxvit_tiny_rw_224,83.504,16.496,96.502,3.498,29.06,224,0.950,bicubic -swinv2_cr_small_ns_224,83.488,16.512,96.486,3.514,49.70,224,0.900,bicubic -cait_s24_224,83.452,16.548,96.564,3.436,46.92,224,1.000,bicubic -efficientnet_b4.ra2_in1k,83.428,16.572,96.596,3.404,19.34,384,1.000,bicubic -deit3_small_patch16_384,83.426,16.574,96.676,3.324,22.21,384,1.000,bicubic -sequencer2d_l,83.406,16.594,96.506,3.494,54.30,224,0.875,bicubic -gcvit_tiny,83.400,16.600,96.398,3.602,28.22,224,0.875,bicubic -maxvit_tiny_tf_224.in1k,83.398,16.602,96.588,3.412,30.92,224,0.950,bicubic -mobilevitv2_200_384_in22ft1k,83.394,16.606,96.580,3.420,18.45,384,1.000,bicubic -deit_base_distilled_patch16_224,83.388,16.612,96.488,3.512,87.34,224,0.900,bicubic -dm_nfnet_f0,83.386,16.614,96.572,3.428,71.49,256,0.900,bicubic -efficientformer_l7,83.386,16.614,96.540,3.460,82.23,224,0.950,bicubic -coatnet_rmlp_1_rw_224,83.358,16.642,96.456,3.544,41.69,224,0.950,bicubic -vit_base_patch32_384.augreg_in21k_ft_in1k,83.350,16.650,96.836,3.164,88.30,384,1.000,bicubic -xcit_small_12_p16_224_dist,83.350,16.650,96.414,3.586,26.25,224,1.000,bicubic -swsl_resnext101_32x16d,83.346,16.654,96.846,3.154,194.03,224,0.875,bilinear -xcit_small_12_p8_224,83.344,16.656,96.480,3.520,26.21,224,1.000,bicubic -vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,83.306,16.694,96.530,3.470,88.22,224,0.900,bicubic -tf_efficientnet_b4.ap_in1k,83.248,16.752,96.392,3.608,19.34,380,0.922,bicubic -swsl_resnext101_32x4d,83.230,16.770,96.760,3.240,44.18,224,0.875,bilinear -swin_small_patch4_window7_224,83.212,16.788,96.322,3.678,49.61,224,0.900,bicubic -regnetv_040,83.194,16.806,96.660,3.340,20.64,288,1.000,bicubic -xception65,83.180,16.820,96.592,3.408,39.92,299,0.940,bicubic -resnext101_64x4d,83.148,16.852,96.372,3.628,83.46,288,1.000,bicubic -swinv2_cr_small_224,83.146,16.854,96.094,3.906,49.70,224,0.900,bicubic -twins_pcpvt_large,83.140,16.860,96.598,3.402,60.99,224,0.900,bicubic -twins_svt_base,83.136,16.864,96.418,3.582,56.07,224,0.900,bicubic -xception65p,83.130,16.870,96.480,3.520,39.82,299,0.940,bicubic -pvt_v2_b3,83.126,16.874,96.556,3.444,45.24,224,0.900,bicubic -jx_nest_small,83.120,16.880,96.328,3.672,38.35,224,0.875,bicubic -deit_base_patch16_384,83.106,16.894,96.372,3.628,86.86,384,1.000,bicubic -deit3_medium_patch16_224,83.080,16.920,96.292,3.708,38.85,224,0.900,bicubic -tresnet_m,83.080,16.920,96.118,3.882,31.39,224,0.875,bilinear -deit3_small_patch16_224_in21ft1k,83.070,16.930,96.780,3.220,22.06,224,1.000,bicubic -tresnet_xl_448,83.050,16.950,96.174,3.826,78.44,448,0.875,bilinear -regnety_040,83.038,16.962,96.510,3.490,20.65,288,1.000,bicubic -maxxvit_rmlp_nano_rw_256,83.030,16.970,96.344,3.656,16.78,256,0.950,bicubic -resnet101d,83.022,16.978,96.446,3.554,44.57,320,1.000,bicubic -tf_efficientnet_b4.aa_in1k,83.022,16.978,96.300,3.700,19.34,380,0.922,bicubic -maxvit_rmlp_nano_rw_256,82.962,17.038,96.270,3.730,15.50,256,0.950,bicubic -mobilevitv2_175_384_in22ft1k,82.942,17.058,96.426,3.574,14.25,384,1.000,bicubic -maxvit_nano_rw_256,82.932,17.068,96.222,3.778,15.45,256,0.950,bicubic -xcit_large_24_p16_224,82.896,17.104,95.882,4.118,189.10,224,1.000,bicubic -resnest101e,82.890,17.110,96.320,3.680,48.28,256,0.875,bilinear -resnetv2_152x2_bit_teacher,82.862,17.138,96.568,3.432,236.34,224,0.875,bicubic -convnext_nano.in12k_ft_in1k,82.858,17.142,96.556,3.444,15.59,288,1.000,bicubic -resnet152,82.822,17.178,96.126,3.874,60.19,224,0.950,bicubic -resnetv2_50x1_bit_distilled,82.818,17.182,96.522,3.478,25.55,224,0.875,bicubic -swinv2_tiny_window16_256,82.810,17.190,96.232,3.768,28.35,256,0.900,bicubic -sequencer2d_m,82.806,17.194,96.268,3.732,38.31,224,0.875,bicubic -pnasnet5large,82.782,17.218,96.040,3.960,86.06,331,0.911,bicubic -vit_relpos_base_patch16_clsgap_224.sw_in1k,82.762,17.238,96.174,3.826,86.43,224,0.900,bicubic -nfnet_l0,82.750,17.250,96.516,3.484,35.07,288,1.000,bicubic -regnety_032,82.724,17.276,96.424,3.576,19.44,288,1.000,bicubic -twins_pcpvt_base,82.708,17.292,96.346,3.654,43.83,224,0.900,bicubic -cs3edgenet_x,82.702,17.298,96.370,3.630,47.82,288,1.000,bicubic -convnext_tiny.fb_in1k,82.700,17.300,96.136,3.864,28.59,288,1.000,bicubic -ig_resnext101_32x8d,82.688,17.312,96.636,3.364,88.79,224,0.875,bilinear -tf_efficientnetv2_b3.in21k_ft_in1k,82.672,17.328,96.624,3.376,14.36,300,0.900,bicubic -cs3sedarknet_x,82.654,17.346,96.354,3.646,35.40,288,1.000,bicubic -xcit_medium_24_p16_224,82.636,17.364,95.976,4.024,84.40,224,1.000,bicubic -regnetz_c16_evos,82.630,17.370,96.474,3.526,13.49,320,0.950,bicubic -nasnetalarge,82.620,17.380,96.046,3.954,88.75,331,0.911,bicubic -mobilevitv2_150_384_in22ft1k,82.594,17.406,96.318,3.682,10.59,384,1.000,bicubic -convnext_tiny_hnf.a2h_in1k,82.590,17.410,96.016,3.984,28.59,288,1.000,bicubic -levit_384,82.586,17.414,96.016,3.984,39.13,224,0.900,bicubic -vit_base_patch32_clip_224.laion2b_ft_in1k,82.582,17.418,96.202,3.798,88.22,224,0.900,bicubic -eca_nfnet_l0,82.580,17.420,96.490,3.510,24.14,288,1.000,bicubic -xcit_small_24_p16_224,82.580,17.420,96.004,3.996,47.67,224,1.000,bicubic -xcit_tiny_24_p16_384_dist,82.570,17.430,96.286,3.714,12.12,384,1.000,bicubic -xcit_tiny_24_p8_224_dist,82.562,17.438,96.170,3.830,12.11,224,1.000,bicubic -vit_relpos_medium_patch16_cls_224.sw_in1k,82.562,17.438,96.066,3.934,38.76,224,0.900,bicubic -efficientformer_l3,82.550,17.450,96.248,3.752,31.41,224,0.950,bicubic -flexivit_small.1200ep_in1k,82.526,17.474,96.136,3.864,22.06,240,0.950,bicubic -resnet61q,82.524,17.476,96.130,3.870,36.85,288,1.000,bicubic -regnetz_c16,82.518,17.482,96.360,3.640,13.46,320,0.940,bicubic -crossvit_18_dagger_240,82.518,17.482,96.072,3.928,44.27,240,0.875,bicubic -vit_relpos_base_patch16_224.sw_in1k,82.484,17.516,96.142,3.858,86.43,224,0.900,bicubic -vit_relpos_medium_patch16_224.sw_in1k,82.466,17.534,96.088,3.912,38.75,224,0.900,bicubic -gc_efficientnetv2_rw_t.agc_in1k,82.464,17.536,96.298,3.702,13.68,288,1.000,bicubic -poolformer_m48,82.462,17.538,95.958,4.042,73.47,224,0.950,bicubic -pit_b_224,82.446,17.554,95.710,4.290,73.76,224,0.900,bicubic -mvitv2_tiny,82.404,17.596,96.156,3.844,24.17,224,0.900,bicubic -crossvit_18_240,82.400,17.600,96.054,3.946,43.27,240,0.875,bicubic -coatnet_bn_0_rw_224,82.398,17.602,96.182,3.818,27.44,224,0.950,bicubic -coatnet_0_rw_224,82.390,17.610,95.836,4.164,27.44,224,0.950,bicubic -xcit_tiny_12_p8_384_dist,82.388,17.612,96.224,3.776,6.71,384,1.000,bicubic -tf_efficientnet_b2.ns_jft_in1k,82.380,17.620,96.248,3.752,9.11,260,0.890,bicubic -resnet51q,82.360,17.640,96.180,3.820,35.70,288,1.000,bilinear -flexivit_small.600ep_in1k,82.354,17.646,96.086,3.914,22.06,240,0.950,bicubic -efficientnetv2_rw_t.ra2_in1k,82.348,17.652,96.196,3.804,13.65,288,1.000,bicubic -ecaresnet50t,82.346,17.654,96.138,3.862,25.57,320,0.950,bicubic -sequencer2d_s,82.342,17.658,96.030,3.970,27.65,224,0.875,bicubic -resnetv2_101x1_bitm,82.332,17.668,96.518,3.482,44.54,448,1.000,bilinear -crossvit_15_dagger_240,82.332,17.668,95.956,4.044,28.21,240,0.875,bicubic -mobilevitv2_200_in22ft1k,82.324,17.676,95.940,4.060,18.45,256,0.888,bicubic -coat_lite_small,82.308,17.692,95.850,4.150,19.84,224,0.900,bicubic -mixer_b16_224_miil,82.308,17.692,95.716,4.284,59.88,224,0.875,bilinear -vit_relpos_medium_patch16_rpn_224.sw_in1k,82.298,17.702,95.974,4.026,38.73,224,0.900,bicubic -resnetrs101,82.288,17.712,96.008,3.992,63.62,288,0.940,bicubic -convit_base,82.288,17.712,95.938,4.062,86.54,224,0.875,bicubic -tresnet_l_448,82.268,17.732,95.976,4.024,55.99,448,0.875,bilinear -efficientnet_b3.ra2_in1k,82.242,17.758,96.114,3.886,12.23,320,1.000,bicubic -vit_srelpos_medium_patch16_224.sw_in1k,82.236,17.764,95.934,4.066,38.74,224,0.900,bicubic -cs3darknet_x,82.228,17.772,96.234,3.766,35.05,288,1.000,bicubic -crossvit_base_240,82.216,17.784,95.830,4.170,105.03,240,0.875,bicubic -vit_base_patch16_rpn_224.in1k,82.202,17.798,95.996,4.004,86.54,224,0.900,bicubic -pvt_v2_b2_li,82.196,17.804,96.104,3.896,22.55,224,0.900,bicubic -cait_xxs36_384,82.194,17.806,96.148,3.852,17.37,384,1.000,bicubic -swsl_resnext50_32x4d,82.182,17.818,96.230,3.770,25.03,224,0.875,bilinear -ecaresnet101d,82.172,17.828,96.046,3.954,44.57,224,0.875,bicubic -flexivit_small.300ep_in1k,82.172,17.828,96.024,3.976,22.06,240,0.950,bicubic -swin_s3_tiny_224,82.122,17.878,95.948,4.052,28.33,224,0.900,bicubic -poolformer_m36,82.110,17.890,95.688,4.312,56.17,224,0.950,bicubic -visformer_small,82.106,17.894,95.872,4.128,40.22,224,0.900,bicubic -pvt_v2_b2,82.076,17.924,95.962,4.038,25.36,224,0.900,bicubic -coatnet_rmlp_nano_rw_224,82.064,17.936,95.870,4.130,15.15,224,0.900,bicubic -halo2botnet50ts_256,82.060,17.940,95.636,4.364,22.64,256,0.950,bicubic -tresnet_xl,82.054,17.946,95.936,4.064,78.44,224,0.875,bilinear -fbnetv3_g.ra2_in1k,82.048,17.952,96.064,3.936,16.62,288,0.950,bilinear -resnetv2_101,82.030,17.970,95.860,4.140,44.54,224,0.950,bicubic -deit_base_patch16_224,81.998,18.002,95.734,4.266,86.57,224,0.900,bicubic -pit_s_distilled_224,81.996,18.004,95.798,4.202,24.04,224,0.900,bicubic -resnetv2_50d_evos,81.976,18.024,95.916,4.084,25.59,288,0.950,bicubic -xcit_small_12_p16_224,81.974,18.026,95.816,4.184,26.25,224,1.000,bicubic -tf_efficientnetv2_b3.in1k,81.970,18.030,95.782,4.218,14.36,300,0.904,bicubic -xception41p,81.958,18.042,95.794,4.206,26.91,299,0.940,bicubic -gcvit_xtiny,81.952,18.048,95.966,4.034,19.98,224,0.875,bicubic -coatnext_nano_rw_224,81.948,18.052,95.918,4.082,14.70,224,0.900,bicubic -mobilevitv2_175_in22ft1k,81.944,18.056,95.792,4.208,14.25,256,0.888,bicubic -resnet101,81.938,18.062,95.754,4.246,44.55,224,0.950,bicubic -vit_base_patch32_clip_224.openai_ft_in1k,81.930,18.070,95.968,4.032,88.22,224,0.900,bicubic -xcit_tiny_24_p8_224,81.900,18.100,95.976,4.024,12.11,224,1.000,bicubic -vit_small_r26_s32_224.augreg_in21k_ft_in1k,81.858,18.142,96.022,3.978,36.43,224,0.900,bicubic -ssl_resnext101_32x16d,81.844,18.156,96.096,3.904,194.03,224,0.875,bilinear -tf_efficientnet_b3.ap_in1k,81.822,18.178,95.624,4.376,12.23,300,0.904,bicubic -resnetv2_50d_gn,81.816,18.184,95.924,4.076,25.57,288,0.950,bicubic -swinv2_tiny_window8_256,81.806,18.194,95.994,4.006,28.35,256,0.900,bicubic -swinv2_cr_tiny_ns_224,81.790,18.210,95.824,4.176,28.33,224,0.900,bicubic -vit_base_patch16_224.orig_in21k_ft_in1k,81.786,18.214,96.122,3.878,86.57,224,0.900,bicubic -cs3sedarknet_l,81.774,18.226,95.968,4.032,21.91,288,0.950,bicubic -tresnet_m_448,81.714,18.286,95.572,4.428,31.39,448,0.875,bilinear -coatnet_nano_rw_224,81.700,18.300,95.638,4.362,15.14,224,0.900,bicubic -twins_svt_small,81.682,18.318,95.670,4.330,24.06,224,0.900,bicubic -halonet50ts,81.644,18.356,95.608,4.392,22.73,256,0.940,bicubic -tf_efficientnet_b3.aa_in1k,81.636,18.364,95.718,4.282,12.23,300,0.904,bicubic -rexnet_200,81.632,18.368,95.668,4.332,16.37,224,0.875,bicubic -resnetaa50,81.622,18.378,95.808,4.192,25.56,288,1.000,bicubic -ssl_resnext101_32x8d,81.616,18.384,96.038,3.962,88.79,224,0.875,bilinear -convnext_nano_ols.d1h_in1k,81.610,18.390,95.640,4.360,15.65,288,1.000,bicubic -edgenext_small,81.568,18.432,95.706,4.294,5.59,320,1.000,bicubic -lamhalobotnet50ts_256,81.544,18.456,95.504,4.496,22.57,256,0.950,bicubic -crossvit_15_240,81.536,18.464,95.692,4.308,27.53,240,0.875,bicubic -tf_efficientnet_lite4.in1k,81.536,18.464,95.668,4.332,13.01,380,0.920,bilinear -tnt_s_patch16_224,81.518,18.482,95.748,4.252,23.76,224,0.900,bicubic -levit_256,81.510,18.490,95.490,4.510,18.89,224,0.900,bicubic -vit_large_patch32_384.orig_in21k_ft_in1k,81.506,18.494,96.092,3.908,306.63,384,1.000,bicubic -tresnet_l,81.488,18.512,95.624,4.376,55.99,224,0.875,bilinear -mobilevitv2_150_in22ft1k,81.478,18.522,95.674,4.326,10.59,256,0.888,bicubic -convnext_nano.d1h_in1k,81.470,18.530,95.658,4.342,15.59,288,1.000,bicubic -vit_relpos_small_patch16_224.sw_in1k,81.462,18.538,95.828,4.172,21.98,224,0.900,bicubic -wide_resnet50_2,81.456,18.544,95.532,4.468,68.88,224,0.875,bicubic -convit_small,81.426,18.574,95.744,4.256,27.78,224,0.875,bicubic -poolformer_s36,81.416,18.584,95.446,4.554,30.86,224,0.900,bicubic -jx_nest_tiny,81.414,18.586,95.616,4.384,17.06,224,0.875,bicubic -vit_small_patch16_224.augreg_in21k_ft_in1k,81.402,18.598,96.134,3.866,22.05,224,0.900,bicubic -tf_efficientnet_b1.ns_jft_in1k,81.388,18.612,95.738,4.262,7.79,240,0.882,bicubic -deit3_small_patch16_224,81.386,18.614,95.450,4.550,22.06,224,0.900,bicubic -swin_tiny_patch4_window7_224,81.378,18.622,95.540,4.460,28.29,224,0.900,bicubic -convmixer_1536_20,81.376,18.624,95.614,4.386,51.63,224,0.960,bicubic -gernet_l,81.354,18.646,95.536,4.464,31.08,256,0.875,bilinear -efficientnet_el.ra_in1k,81.316,18.684,95.526,4.474,10.59,300,0.904,bicubic -legacy_senet154,81.310,18.690,95.496,4.504,115.09,224,0.875,bilinear -coat_mini,81.268,18.732,95.392,4.608,10.34,224,0.900,bicubic -seresnext50_32x4d,81.266,18.734,95.620,4.380,27.56,224,0.875,bicubic -gluon_senet154,81.234,18.766,95.348,4.652,115.09,224,0.875,bicubic -xcit_tiny_12_p8_224_dist,81.212,18.788,95.600,4.400,6.71,224,1.000,bicubic -deit_small_distilled_patch16_224,81.200,18.800,95.378,4.622,22.44,224,0.900,bicubic -swsl_resnet50,81.166,18.834,95.972,4.028,25.56,224,0.875,bilinear -lambda_resnet50ts,81.166,18.834,95.096,4.904,21.54,256,0.950,bicubic -resmlp_36_distilled_224,81.160,18.840,95.488,4.512,44.69,224,0.875,bicubic -sebotnet33ts_256,81.150,18.850,95.174,4.826,13.70,256,0.940,bicubic -mobilevitv2_200,81.136,18.864,95.366,4.634,18.45,256,0.888,bicubic -vit_small_patch16_384.augreg_in1k,81.120,18.880,95.574,4.426,22.20,384,1.000,bicubic -resnext50_32x4d,81.118,18.882,95.332,4.668,25.03,224,0.950,bicubic -resnest50d_4s2x40d,81.108,18.892,95.558,4.442,30.42,224,0.875,bicubic -vit_base_patch16_384.augreg_in1k,81.102,18.898,95.332,4.668,86.86,384,1.000,bicubic -vit_srelpos_small_patch16_224.sw_in1k,81.094,18.906,95.570,4.430,21.97,224,0.900,bicubic -pit_s_224,81.094,18.906,95.332,4.668,23.46,224,0.900,bicubic -twins_pcpvt_small,81.088,18.912,95.642,4.358,24.11,224,0.900,bicubic -haloregnetz_b,81.050,18.950,95.196,4.804,11.68,224,0.940,bicubic -resmlp_big_24_224,81.028,18.972,95.022,4.978,129.14,224,0.875,bicubic -crossvit_small_240,81.020,18.980,95.460,4.540,26.86,240,0.875,bicubic -gluon_resnet152_v1s,81.016,18.984,95.412,4.588,60.32,224,0.875,bicubic -resnest50d_1s4x24d,80.988,19.012,95.322,4.678,25.68,224,0.875,bicubic -resnest50d,80.974,19.026,95.378,4.622,27.48,224,0.875,bilinear -cait_xxs24_384,80.966,19.034,95.646,4.354,12.03,384,1.000,bicubic -sehalonet33ts,80.958,19.042,95.276,4.724,13.69,256,0.940,bicubic -gcresnet50t,80.940,19.060,95.454,4.546,25.90,256,0.900,bicubic -xcit_tiny_12_p16_384_dist,80.940,19.060,95.410,4.590,6.72,384,1.000,bicubic -ssl_resnext101_32x4d,80.924,19.076,95.728,4.272,44.18,224,0.875,bilinear -gluon_seresnext101_32x4d,80.904,19.096,95.294,4.706,48.96,224,0.875,bicubic -cs3darknet_l,80.896,19.104,95.670,4.330,21.16,288,0.950,bicubic -gluon_seresnext101_64x4d,80.894,19.106,95.308,4.692,88.23,224,0.875,bicubic -cs3darknet_focus_l,80.884,19.116,95.682,4.318,21.15,288,0.950,bicubic -mobilevitv2_175,80.860,19.140,95.254,4.746,14.25,256,0.888,bicubic -efficientnet_b3_pruned.in1k,80.858,19.142,95.242,4.758,9.86,300,0.904,bicubic -ecaresnet101d_pruned,80.818,19.182,95.628,4.372,24.88,224,0.875,bicubic -regnety_320,80.810,19.190,95.244,4.756,145.05,224,0.875,bicubic -resmlp_24_distilled_224,80.766,19.234,95.218,4.782,30.02,224,0.875,bicubic -gernet_m,80.732,19.268,95.184,4.816,21.14,224,0.875,bilinear -vit_base_patch32_224.augreg_in21k_ft_in1k,80.724,19.276,95.568,4.432,88.22,224,0.900,bicubic -regnetz_b16,80.716,19.284,95.478,4.522,9.72,288,0.940,bicubic -nf_resnet50,80.662,19.338,95.336,4.664,25.56,288,0.940,bicubic -efficientnet_b2.ra_in1k,80.612,19.388,95.318,4.682,9.11,288,1.000,bicubic -gluon_resnext101_64x4d,80.604,19.396,94.988,5.012,83.46,224,0.875,bicubic -ecaresnet50d,80.592,19.408,95.320,4.680,25.58,224,0.875,bicubic -gcresnext50ts,80.580,19.420,95.170,4.830,15.67,256,0.900,bicubic -cspresnext50,80.546,19.454,95.320,4.680,20.57,256,0.887,bilinear -darknet53,80.534,19.466,95.420,4.580,41.61,288,1.000,bicubic -resnet50d,80.530,19.470,95.160,4.840,25.58,224,0.875,bicubic -darknetaa53,80.522,19.478,95.322,4.678,36.02,288,1.000,bilinear -maxvit_rmlp_pico_rw_256,80.516,19.484,95.212,4.788,7.52,256,0.950,bicubic -efficientformer_l1,80.502,19.498,94.998,5.002,12.29,224,0.950,bicubic -repvgg_b3,80.492,19.508,95.260,4.740,123.09,224,0.875,bilinear -vit_small_patch32_384.augreg_in21k_ft_in1k,80.480,19.520,95.598,4.402,22.92,384,1.000,bicubic -mixnet_xl.ra_in1k,80.476,19.524,94.936,5.064,11.90,224,0.875,bicubic -gluon_resnet152_v1d,80.474,19.526,95.206,4.794,60.21,224,0.875,bicubic -convnext_pico_ols.d1_in1k,80.464,19.536,95.242,4.758,9.06,288,1.000,bicubic -ecaresnetlight,80.462,19.538,95.248,4.752,30.16,224,0.875,bicubic -inception_resnet_v2,80.458,19.542,95.306,4.694,55.84,299,0.897,bicubic -edgenext_small_rw,80.456,19.544,95.192,4.808,7.83,320,1.000,bicubic -xcit_tiny_24_p16_224_dist,80.446,19.554,95.218,4.782,12.12,224,1.000,bicubic -resnetv2_50,80.432,19.568,95.080,4.920,25.55,224,0.950,bicubic -convnext_pico.d1_in1k,80.426,19.574,95.058,4.942,9.05,288,0.950,bicubic -gluon_resnet101_v1d,80.414,19.586,95.014,4.986,44.57,224,0.875,bicubic -mobilevitv2_150,80.376,19.624,95.060,4.940,10.59,256,0.888,bicubic -resnet50,80.374,19.626,94.614,5.386,25.56,224,0.950,bicubic -regnety_120,80.366,19.634,95.126,4.874,51.82,224,0.875,bicubic -seresnet33ts,80.352,19.648,95.106,4.894,19.78,256,0.900,bicubic -resnetv2_50x1_bitm,80.342,19.658,95.684,4.316,25.55,448,1.000,bilinear -gluon_resnext101_32x4d,80.334,19.666,94.926,5.074,44.18,224,0.875,bicubic -ssl_resnext50_32x4d,80.318,19.682,95.406,4.594,25.03,224,0.875,bilinear -poolformer_s24,80.316,19.684,95.038,4.962,21.39,224,0.900,bicubic -rexnet_150,80.310,19.690,95.166,4.834,9.73,224,0.875,bicubic -gluon_resnet101_v1s,80.302,19.698,95.160,4.840,44.67,224,0.875,bicubic -efficientnet_el_pruned.in1k,80.300,19.700,95.218,4.782,10.59,300,0.904,bicubic -tf_efficientnet_b2.ap_in1k,80.300,19.700,95.028,4.972,9.11,260,0.890,bicubic -seresnet50,80.274,19.726,95.070,4.930,28.09,224,0.875,bicubic -tf_efficientnet_el.in1k,80.250,19.750,95.128,4.872,10.59,300,0.904,bicubic -regnetx_320,80.246,19.754,95.026,4.974,107.81,224,0.875,bicubic -vit_base_patch16_224.sam,80.242,19.758,94.756,5.244,86.57,224,0.900,bicubic -legacy_seresnext101_32x4d,80.228,19.772,95.018,4.982,48.96,224,0.875,bilinear -repvgg_b3g4,80.212,19.788,95.110,4.890,83.83,224,0.875,bilinear -tf_efficientnetv2_b2.in1k,80.208,19.792,95.042,4.958,10.10,260,0.890,bicubic -inception_v4,80.168,19.832,94.968,5.032,42.68,299,0.875,bicubic -convmixer_768_32,80.164,19.836,95.072,4.928,21.11,224,0.960,bicubic -dpn107,80.156,19.844,94.910,5.090,86.92,224,0.875,bicubic -skresnext50_32x4d,80.156,19.844,94.642,5.358,27.48,224,0.875,bicubic -tf_efficientnet_b2.aa_in1k,80.086,19.914,94.908,5.092,9.11,260,0.890,bicubic -gcresnet33ts,80.082,19.918,94.998,5.002,19.88,256,0.900,bicubic -eca_resnet33ts,80.078,19.922,94.970,5.030,19.68,256,0.900,bicubic -cspdarknet53,80.058,19.942,95.084,4.916,27.64,256,0.887,bilinear -resnet50_gn,80.052,19.948,94.946,5.054,25.56,224,0.940,bicubic -dpn92,80.008,19.992,94.836,5.164,37.67,224,0.875,bicubic -ens_adv_inception_resnet_v2,79.982,20.018,94.938,5.062,55.84,299,0.897,bicubic -gluon_seresnext50_32x4d,79.918,20.082,94.822,5.178,27.56,224,0.875,bicubic -efficientnet_b2_pruned.in1k,79.916,20.084,94.856,5.144,8.31,260,0.890,bicubic -gluon_resnet152_v1c,79.910,20.090,94.840,5.160,60.21,224,0.875,bicubic -resnetrs50,79.892,20.108,94.968,5.032,35.69,224,0.910,bicubic -xception71,79.874,20.126,94.922,5.078,42.34,299,0.903,bicubic -deit_small_patch16_224,79.856,20.144,95.052,4.948,22.05,224,0.900,bicubic -regnetx_160,79.856,20.144,94.830,5.170,54.28,224,0.875,bicubic -ecaresnet26t,79.854,20.146,95.084,4.916,16.01,320,0.950,bicubic -levit_192,79.842,20.158,94.786,5.214,10.95,224,0.900,bicubic -dpn131,79.822,20.178,94.710,5.290,79.25,224,0.875,bicubic -tf_efficientnet_lite3.in1k,79.820,20.180,94.914,5.086,8.20,300,0.904,bilinear -resmlp_36_224,79.770,20.230,94.886,5.114,44.69,224,0.875,bicubic -cait_xxs36_224,79.750,20.250,94.866,5.134,17.30,224,1.000,bicubic -ecaresnet50d_pruned,79.716,20.284,94.880,5.120,19.94,224,0.875,bicubic -gluon_xception65,79.716,20.284,94.860,5.140,39.92,299,0.903,bicubic -gcvit_xxtiny,79.714,20.286,95.080,4.920,12.00,224,0.875,bicubic -xcit_tiny_12_p8_224,79.694,20.306,95.052,4.948,6.71,224,1.000,bicubic -gluon_resnet152_v1b,79.686,20.314,94.736,5.264,60.19,224,0.875,bicubic -mobilevitv2_125,79.684,20.316,94.850,5.150,7.48,256,0.888,bicubic -fbnetv3_d.ra2_in1k,79.680,20.320,94.944,5.056,10.31,256,0.950,bilinear -resnext50d_32x4d,79.676,20.324,94.866,5.134,25.05,224,0.875,bicubic -gmlp_s16_224,79.642,20.358,94.628,5.372,19.42,224,0.875,bicubic -dpn98,79.642,20.358,94.598,5.402,61.57,224,0.875,bicubic -regnetx_120,79.596,20.404,94.738,5.262,46.11,224,0.875,bicubic -cspresnet50,79.574,20.426,94.712,5.288,21.62,256,0.887,bilinear -gluon_resnet101_v1c,79.534,20.466,94.578,5.422,44.57,224,0.875,bicubic -rexnet_130,79.500,20.500,94.682,5.318,7.56,224,0.875,bicubic -eca_halonext26ts,79.486,20.514,94.598,5.402,10.76,256,0.940,bicubic -vit_relpos_base_patch32_plus_rpn_256.sw_in1k,79.480,20.520,94.138,5.862,119.42,256,0.900,bicubic -hrnet_w64,79.474,20.526,94.652,5.348,128.06,224,0.875,bilinear +regnety_2560.seer_ft_in1k,85.152,14.848,97.436,2.564,"1,282.60",384,1.000,bicubic +convnext_tiny.in12k_ft_in1k_384,85.122,14.878,97.606,2.394,28.59,384,1.000,bicubic +tf_efficientnet_b7.ap_in1k,85.122,14.878,97.252,2.748,66.35,600,0.949,bicubic +convnextv2_tiny.fcmae_ft_in22k_in1k_384,85.106,14.894,97.628,2.372,28.64,384,1.000,bicubic +maxvit_tiny_tf_384.in1k,85.100,14.900,97.378,2.622,30.98,384,1.000,bicubic +resnext101_32x32d.fb_wsl_ig1b_ft_in1k,85.098,14.902,97.438,2.562,468.53,224,0.875,bilinear +vit_base_patch16_224.augreg2_in21k_ft_in1k,85.096,14.904,97.530,2.470,86.57,224,0.900,bicubic +xcit_small_24_p16_384.fb_dist_in1k,85.090,14.910,97.312,2.688,47.67,384,1.000,bicubic +xcit_small_12_p8_384.fb_dist_in1k,85.078,14.922,97.282,2.718,26.21,384,1.000,bicubic +xcit_medium_24_p8_224.fb_dist_in1k,85.074,14.926,97.274,2.726,84.32,224,1.000,bicubic +deit3_base_patch16_384.fb_in1k,85.072,14.928,97.252,2.748,86.88,384,1.000,bicubic +cait_s24_384.fb_dist_in1k,85.048,14.952,97.346,2.654,47.06,384,1.000,bicubic +regnetz_e8.ra3_in1k,85.036,14.964,97.272,2.728,57.70,320,1.000,bicubic +caformer_s18.sail_in1k_384,85.026,14.974,97.358,2.642,26.34,384,1.000,bicubic +resnetrs420.tf_in1k,85.006,14.994,97.124,2.876,191.89,416,1.000,bicubic +convformer_s18.sail_in22k_ft_in1k_384,84.998,15.002,97.570,2.430,26.77,384,1.000,bicubic +vit_base_r50_s16_384.orig_in21k_ft_in1k,84.976,15.024,97.290,2.710,98.95,384,1.000,bicubic +ecaresnet269d.ra2_in1k,84.966,15.034,97.222,2.778,102.09,352,1.000,bicubic +maxvit_large_tf_224.in1k,84.942,15.058,96.970,3.030,211.79,224,0.950,bicubic +tf_efficientnet_b7.ra_in1k,84.932,15.068,97.208,2.792,66.35,600,0.949,bicubic +resnetv2_152x4_bit.goog_in21k_ft_in1k,84.916,15.084,97.438,2.562,936.53,480,1.000,bilinear +xcit_large_24_p16_224.fb_dist_in1k,84.916,15.084,97.130,2.870,189.10,224,1.000,bicubic +coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k,84.910,15.090,96.958,3.042,41.72,224,0.950,bicubic +coat_lite_medium_384.in1k,84.878,15.122,97.372,2.628,44.57,384,1.000,bicubic +xcit_small_24_p8_224.fb_dist_in1k,84.868,15.132,97.190,2.810,47.63,224,1.000,bicubic +maxvit_base_tf_224.in1k,84.860,15.140,96.988,3.012,119.47,224,0.950,bicubic +convnext_large.fb_in1k,84.846,15.154,97.214,2.786,197.77,288,1.000,bicubic +deit3_small_patch16_384.fb_in22k_ft_in1k,84.824,15.176,97.488,2.512,22.21,384,1.000,bicubic +convformer_b36.sail_in1k,84.818,15.182,96.946,3.054,99.88,224,1.000,bicubic +efficientnetv2_rw_m.agc_in1k,84.812,15.188,97.150,2.850,53.24,416,1.000,bicubic +tf_efficientnet_b6.ap_in1k,84.786,15.214,97.136,2.864,43.04,528,0.942,bicubic +deit3_large_patch16_224.fb_in1k,84.776,15.224,97.038,2.962,304.37,224,0.900,bicubic +resnetrs350.tf_in1k,84.714,15.286,96.992,3.008,163.96,384,1.000,bicubic +xcit_small_12_p16_384.fb_dist_in1k,84.712,15.288,97.118,2.882,26.25,384,1.000,bicubic +eca_nfnet_l2.ra3_in1k,84.702,15.298,97.266,2.734,56.72,384,1.000,bicubic +dm_nfnet_f1.dm_in1k,84.702,15.298,97.182,2.818,132.63,320,0.910,bicubic +flexivit_base.1200ep_in1k,84.678,15.322,96.996,3.004,86.59,240,0.950,bicubic +davit_base.msft_in1k,84.642,15.358,97.020,2.980,87.95,224,0.950,bicubic +maxxvit_rmlp_small_rw_256.sw_in1k,84.624,15.376,97.068,2.932,66.01,256,0.950,bicubic +coatnet_rmlp_2_rw_224.sw_in1k,84.606,15.394,96.740,3.260,73.88,224,0.950,bicubic +swinv2_base_window16_256.ms_in1k,84.600,15.400,97.090,2.910,87.92,256,0.900,bicubic +seresnextaa101d_32x8d.ah_in1k,84.566,15.434,97.076,2.924,93.59,288,1.000,bicubic +deit3_medium_patch16_224.fb_in22k_ft_in1k,84.552,15.448,97.188,2.812,38.85,224,1.000,bicubic +regnety_320.swag_lc_in1k,84.546,15.454,97.442,2.558,145.05,224,0.965,bicubic +rexnetr_300.sw_in12k_ft_in1k,84.544,15.456,97.256,2.744,34.81,288,1.000,bicubic +vit_base_patch16_224.augreg_in21k_ft_in1k,84.532,15.468,97.292,2.708,86.57,224,0.900,bicubic +flexivit_base.600ep_in1k,84.522,15.478,96.936,3.064,86.59,240,0.950,bicubic +resnetv2_152x2_bit.goog_in21k_ft_in1k,84.510,15.490,97.434,2.566,236.34,448,1.000,bilinear +resnest269e.in1k,84.510,15.490,96.992,3.008,110.93,416,0.928,bicubic +caformer_s36.sail_in1k,84.508,15.492,96.996,3.004,39.30,224,1.000,bicubic +convformer_m36.sail_in1k,84.494,15.506,96.866,3.134,57.05,224,1.000,bicubic +regnetz_040_h.ra3_in1k,84.492,15.508,97.010,2.990,28.94,320,1.000,bicubic +maxvit_rmlp_small_rw_224.sw_in1k,84.492,15.508,96.758,3.242,64.90,224,0.900,bicubic +hrnet_w48_ssld.paddle_in1k,84.478,15.522,97.234,2.766,77.47,288,1.000,bilinear +swin_base_patch4_window12_384.ms_in1k,84.476,15.524,96.892,3.108,87.90,384,1.000,bicubic +convnext_tiny.in12k_ft_in1k,84.450,15.550,97.340,2.660,28.59,288,1.000,bicubic +mvitv2_base.fb_in1k,84.450,15.550,96.858,3.142,51.47,224,0.900,bicubic +vit_medium_patch16_gap_256.sw_in12k_ft_in1k,84.446,15.554,97.208,2.792,38.86,256,0.950,bicubic +gcvit_base.in1k,84.446,15.554,96.844,3.156,90.32,224,0.875,bicubic +resnetrs200.tf_in1k,84.444,15.556,97.082,2.918,93.21,320,1.000,bicubic +resnetv2_101x3_bit.goog_in21k_ft_in1k,84.438,15.562,97.382,2.618,387.93,448,1.000,bilinear +regnety_1280.seer_ft_in1k,84.432,15.568,97.092,2.908,644.81,384,1.000,bicubic +convnext_base.fb_in1k,84.428,15.572,96.968,3.032,88.59,288,1.000,bicubic +resnetrs270.tf_in1k,84.428,15.572,96.968,3.032,129.86,352,1.000,bicubic +maxvit_small_tf_224.in1k,84.426,15.574,96.824,3.176,68.93,224,0.950,bicubic +vit_large_r50_s32_224.augreg_in21k_ft_in1k,84.422,15.578,97.170,2.830,328.99,224,0.900,bicubic +convnextv2_tiny.fcmae_ft_in22k_in1k,84.416,15.584,97.260,2.740,28.64,288,1.000,bicubic +tf_efficientnet_b7.aa_in1k,84.414,15.586,96.906,3.094,66.35,600,0.949,bicubic +flexivit_base.300ep_in1k,84.406,15.594,96.886,3.114,86.59,240,0.950,bicubic +convformer_s18.sail_in1k_384,84.402,15.598,97.112,2.888,26.77,384,1.000,bicubic +resmlp_big_24_224.fb_in22k_ft_in1k,84.398,15.602,97.112,2.888,129.14,224,0.875,bicubic +xcit_large_24_p8_224.fb_in1k,84.394,15.606,96.664,3.336,188.93,224,1.000,bicubic +seresnet152d.ra2_in1k,84.360,15.640,97.040,2.960,66.84,320,1.000,bicubic +seresnext101d_32x8d.ah_in1k,84.358,15.642,96.920,3.080,93.59,288,1.000,bicubic +resnext101_32x8d.fb_swsl_ig1b_ft_in1k,84.302,15.698,97.176,2.824,88.79,224,0.875,bilinear +tf_efficientnetv2_s.in21k_ft_in1k,84.288,15.712,97.252,2.748,21.46,384,1.000,bicubic +xcit_medium_24_p16_224.fb_dist_in1k,84.286,15.714,96.932,3.068,84.40,224,1.000,bicubic +vit_base_patch16_224_miil.in21k_ft_in1k,84.266,15.734,96.804,3.196,86.54,224,0.875,bilinear +tf_efficientnet_b5.ap_in1k,84.258,15.742,96.974,3.026,30.39,456,0.934,bicubic +davit_small.msft_in1k,84.252,15.748,96.940,3.060,49.75,224,0.950,bicubic +swinv2_base_window8_256.ms_in1k,84.250,15.750,96.924,3.076,87.92,256,0.900,bicubic +regnetz_040.ra3_in1k,84.240,15.760,96.932,3.068,27.12,320,1.000,bicubic +xcit_small_12_p8_224.fb_dist_in1k,84.236,15.764,96.872,3.128,26.21,224,1.000,bicubic +swinv2_small_window16_256.ms_in1k,84.224,15.776,96.868,3.132,49.73,256,0.900,bicubic +maxvit_rmlp_tiny_rw_256.sw_in1k,84.224,15.776,96.778,3.222,29.15,256,0.950,bicubic +vit_base_patch16_384.orig_in21k_ft_in1k,84.200,15.800,97.220,2.780,86.86,384,1.000,bicubic +crossvit_18_dagger_408.in1k,84.198,15.802,96.816,3.184,44.61,408,1.000,bicubic +seresnext101_32x8d.ah_in1k,84.186,15.814,96.874,3.126,93.57,288,1.000,bicubic +resnext101_32x16d.fb_wsl_ig1b_ft_in1k,84.166,15.834,97.198,2.802,194.03,224,0.875,bilinear +volo_d1_224.sail_in1k,84.162,15.838,96.776,3.224,26.63,224,0.960,bicubic +regnetz_d8_evos.ch_in1k,84.126,15.874,97.012,2.988,23.46,320,1.000,bicubic +resnetaa101d.sw_in12k_ft_in1k,84.124,15.876,97.106,2.894,44.57,288,1.000,bicubic +tf_efficientnet_b6.aa_in1k,84.116,15.884,96.880,3.120,43.04,528,0.942,bicubic +convnext_tiny.fb_in22k_ft_in1k_384,84.088,15.912,97.144,2.856,28.59,384,1.000,bicubic +caformer_s18.sail_in22k_ft_in1k,84.076,15.924,97.198,2.802,26.34,224,1.000,bicubic +cait_xs24_384.fb_dist_in1k,84.062,15.938,96.884,3.116,26.67,384,1.000,bicubic +convformer_s36.sail_in1k,84.060,15.940,96.746,3.254,40.01,224,1.000,bicubic +tf_efficientnet_b3.ns_jft_in1k,84.056,15.944,96.918,3.082,12.23,300,0.904,bicubic +edgenext_base.in21k_ft_in1k,84.054,15.946,97.196,2.804,18.51,320,1.000,bicubic +regnetz_d8.ra3_in1k,84.054,15.946,96.996,3.004,23.37,320,1.000,bicubic +vit_small_r26_s32_384.augreg_in21k_ft_in1k,84.048,15.952,97.328,2.672,36.47,384,1.000,bicubic +regnetz_d32.ra3_in1k,84.022,15.978,96.868,3.132,27.58,320,0.950,bicubic +resnetv2_50x3_bit.goog_in21k_ft_in1k,84.020,15.980,97.126,2.874,217.32,448,1.000,bilinear +eca_nfnet_l1.ra2_in1k,84.010,15.990,97.026,2.974,41.41,320,1.000,bicubic +resnet200d.ra2_in1k,83.964,16.036,96.824,3.176,64.69,320,1.000,bicubic +edgenext_base.usi_in1k,83.958,16.042,96.770,3.230,18.51,320,1.000,bicubic +regnety_080.ra3_in1k,83.926,16.074,96.890,3.110,39.18,288,1.000,bicubic +swin_s3_base_224.ms_in1k,83.920,16.080,96.672,3.328,71.13,224,0.900,bicubic +regnety_640.seer_ft_in1k,83.908,16.092,96.922,3.078,281.38,384,1.000,bicubic +tf_efficientnetv2_s.in1k,83.900,16.100,96.698,3.302,21.46,384,1.000,bicubic +tresnet_v2_l.miil_in21k_ft_in1k,83.900,16.100,96.494,3.506,46.17,224,0.875,bilinear +gcvit_small.in1k,83.892,16.108,96.658,3.342,51.09,224,0.875,bicubic +xcit_small_24_p16_224.fb_dist_in1k,83.874,16.126,96.736,3.264,47.67,224,1.000,bicubic +swinv2_small_window8_256.ms_in1k,83.854,16.146,96.644,3.356,49.73,256,0.900,bicubic +resnest200e.in1k,83.846,16.154,96.884,3.116,70.20,320,0.909,bicubic +crossvit_15_dagger_408.in1k,83.842,16.158,96.778,3.222,28.50,408,1.000,bicubic +focalnet_base_lrf.ms_in1k,83.838,16.162,96.608,3.392,88.75,224,0.900,bicubic +resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384,83.834,16.166,97.126,2.874,236.34,384,1.000,bicubic +xcit_small_24_p8_224.fb_in1k,83.834,16.166,96.632,3.368,47.63,224,1.000,bicubic +focalnet_base_srf.ms_in1k,83.818,16.182,96.682,3.318,88.15,224,0.900,bicubic +tf_efficientnet_b5.ra_in1k,83.810,16.190,96.754,3.246,30.39,456,0.934,bicubic +efficientnetv2_rw_s.ra2_in1k,83.808,16.192,96.732,3.268,23.94,384,1.000,bicubic +vit_small_patch16_384.augreg_in21k_ft_in1k,83.802,16.198,97.098,2.902,22.20,384,1.000,bicubic +deit3_base_patch16_224.fb_in1k,83.786,16.214,96.588,3.412,86.59,224,0.900,bicubic +regnety_160.swag_lc_in1k,83.782,16.218,97.280,2.720,83.59,224,0.965,bicubic +mvitv2_small.fb_in1k,83.770,16.230,96.576,3.424,34.87,224,0.900,bicubic +pit_b_distilled_224.in1k,83.766,16.234,96.466,3.534,74.79,224,0.900,bicubic +swin_s3_small_224.ms_in1k,83.756,16.244,96.452,3.548,49.74,224,0.900,bicubic +xcit_medium_24_p8_224.fb_in1k,83.748,16.252,96.400,3.600,84.32,224,1.000,bicubic +xcit_tiny_24_p8_384.fb_dist_in1k,83.746,16.254,96.710,3.290,12.11,384,1.000,bicubic +pvt_v2_b5.in1k,83.742,16.258,96.634,3.366,81.96,224,0.900,bicubic +convformer_s18.sail_in22k_ft_in1k,83.738,16.262,97.048,2.952,26.77,224,1.000,bicubic +regnety_064.ra3_in1k,83.720,16.280,96.722,3.278,30.58,288,1.000,bicubic +regnetv_064.ra3_in1k,83.716,16.284,96.744,3.256,30.58,288,1.000,bicubic +pvt_v2_b4.in1k,83.710,16.290,96.674,3.326,62.56,224,0.900,bicubic +resnetrs152.tf_in1k,83.702,16.298,96.612,3.388,86.62,320,1.000,bicubic +convnext_small.fb_in1k,83.700,16.300,96.808,3.192,50.22,288,1.000,bicubic +regnety_160.deit_in1k,83.690,16.310,96.782,3.218,83.59,288,1.000,bicubic +tf_efficientnet_b5.aa_in1k,83.688,16.312,96.712,3.288,30.39,456,0.934,bicubic +resnet152d.ra2_in1k,83.684,16.316,96.740,3.260,60.21,320,1.000,bicubic +twins_svt_large.in1k,83.678,16.322,96.590,3.410,99.27,224,0.900,bicubic +caformer_s18.sail_in1k,83.656,16.344,96.516,3.484,26.34,224,1.000,bicubic +efficientformerv2_l.snap_dist_in1k,83.632,16.368,96.560,3.440,26.32,224,0.950,bicubic +swin_base_patch4_window7_224.ms_in1k,83.606,16.394,96.452,3.548,87.77,224,0.900,bicubic +coat_lite_medium.in1k,83.600,16.400,96.728,3.272,44.57,224,0.900,bicubic +coatnet_1_rw_224.sw_in1k,83.596,16.404,96.382,3.618,41.72,224,0.950,bicubic +resmlp_big_24_224.fb_distilled_in1k,83.592,16.408,96.650,3.350,129.14,224,0.875,bicubic +cs3se_edgenet_x.c2ns_in1k,83.542,16.458,96.672,3.328,50.72,320,1.000,bicubic +nest_base_jx.goog_in1k,83.534,16.466,96.374,3.626,67.72,224,0.875,bicubic +maxvit_tiny_rw_224.sw_in1k,83.504,16.496,96.504,3.496,29.06,224,0.950,bicubic +swinv2_cr_small_ns_224.sw_in1k,83.498,16.502,96.484,3.516,49.70,224,0.900,bicubic +focalnet_small_lrf.ms_in1k,83.494,16.506,96.580,3.420,50.34,224,0.900,bicubic +dm_nfnet_f0.dm_in1k,83.486,16.514,96.568,3.432,71.49,256,0.900,bicubic +convnextv2_tiny.fcmae_ft_in1k,83.464,16.536,96.718,3.282,28.64,288,1.000,bicubic +resnet152.a1h_in1k,83.450,16.550,96.538,3.462,60.19,288,1.000,bicubic +cait_s24_224.fb_dist_in1k,83.442,16.558,96.574,3.426,46.92,224,1.000,bicubic +deit3_small_patch16_384.fb_in1k,83.430,16.570,96.674,3.326,22.21,384,1.000,bicubic +focalnet_small_srf.ms_in1k,83.416,16.584,96.438,3.562,49.89,224,0.900,bicubic +efficientnet_b4.ra2_in1k,83.414,16.586,96.598,3.402,19.34,384,1.000,bicubic +maxvit_tiny_tf_224.in1k,83.402,16.598,96.590,3.410,30.92,224,0.950,bicubic +mobilevitv2_200.cvnets_in22k_ft_in1k_384,83.400,16.600,96.582,3.418,18.45,384,1.000,bicubic +sequencer2d_l.in1k,83.394,16.606,96.496,3.504,54.30,224,0.875,bicubic +deit_base_distilled_patch16_224.fb_in1k,83.386,16.614,96.488,3.512,87.34,224,0.900,bicubic +gcvit_tiny.in1k,83.384,16.616,96.398,3.602,28.22,224,0.875,bicubic +efficientformer_l7.snap_dist_in1k,83.382,16.618,96.536,3.464,82.23,224,0.950,bicubic +convnextv2_nano.fcmae_ft_in22k_in1k_384,83.374,16.626,96.744,3.256,15.62,384,1.000,bicubic +coatnet_rmlp_1_rw_224.sw_in1k,83.362,16.638,96.450,3.550,41.69,224,0.950,bicubic +vit_base_patch32_384.augreg_in21k_ft_in1k,83.350,16.650,96.838,3.162,88.30,384,1.000,bicubic +resnext101_32x16d.fb_swsl_ig1b_ft_in1k,83.336,16.664,96.846,3.154,194.03,224,0.875,bilinear +regnety_320.seer_ft_in1k,83.334,16.666,96.706,3.294,145.05,384,1.000,bicubic +xcit_small_12_p8_224.fb_in1k,83.332,16.668,96.484,3.516,26.21,224,1.000,bicubic +xcit_small_12_p16_224.fb_dist_in1k,83.328,16.672,96.416,3.584,26.25,224,1.000,bicubic +swin_small_patch4_window7_224.ms_in22k_ft_in1k,83.298,16.702,96.964,3.036,49.61,224,0.900,bicubic +vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,83.296,16.704,96.528,3.472,88.22,224,0.900,bicubic +tf_efficientnet_b4.ap_in1k,83.250,16.750,96.394,3.606,19.34,380,0.922,bicubic +resnext101_32x4d.fb_swsl_ig1b_ft_in1k,83.232,16.768,96.758,3.242,44.18,224,0.875,bilinear +swin_small_patch4_window7_224.ms_in1k,83.208,16.792,96.316,3.684,49.61,224,0.900,bicubic +regnetv_040.ra3_in1k,83.198,16.802,96.658,3.342,20.64,288,1.000,bicubic +xception65.ra3_in1k,83.182,16.818,96.592,3.408,39.92,299,0.940,bicubic +tf_efficientnet_b5.in1k,83.176,16.824,96.536,3.464,30.39,456,0.934,bicubic +regnety_320.tv2_in1k,83.162,16.838,96.416,3.584,145.05,224,0.965,bicubic +resnext101_64x4d.c1_in1k,83.156,16.844,96.374,3.626,83.46,288,1.000,bicubic +rexnetr_200.sw_in12k_ft_in1k,83.136,16.864,96.636,3.364,16.52,288,1.000,bicubic +xception65p.ra3_in1k,83.136,16.864,96.484,3.516,39.82,299,0.940,bicubic +swinv2_cr_small_224.sw_in1k,83.136,16.864,96.108,3.892,49.70,224,0.900,bicubic +twins_pcpvt_large.in1k,83.130,16.870,96.602,3.398,60.99,224,0.900,bicubic +nest_small_jx.goog_in1k,83.124,16.876,96.320,3.680,38.35,224,0.875,bicubic +twins_svt_base.in1k,83.122,16.878,96.416,3.584,56.07,224,0.900,bicubic +pvt_v2_b3.in1k,83.120,16.880,96.554,3.446,45.24,224,0.900,bicubic +maxxvitv2_nano_rw_256.sw_in1k,83.110,16.890,96.324,3.676,23.70,256,0.950,bicubic +deit_base_patch16_384.fb_in1k,83.106,16.894,96.368,3.632,86.86,384,1.000,bicubic +deit3_medium_patch16_224.fb_in1k,83.086,16.914,96.296,3.704,38.85,224,0.900,bicubic +deit3_small_patch16_224.fb_in22k_ft_in1k,83.074,16.926,96.776,3.224,22.06,224,1.000,bicubic +tresnet_m.miil_in21k_ft_in1k,83.074,16.926,96.114,3.886,31.39,224,0.875,bilinear +tresnet_xl.miil_in1k_448,83.060,16.940,96.174,3.826,78.44,448,0.875,bilinear +regnety_040.ra3_in1k,83.044,16.956,96.498,3.502,20.65,288,1.000,bicubic +maxxvit_rmlp_nano_rw_256.sw_in1k,83.042,16.958,96.350,3.650,16.78,256,0.950,bicubic +tf_efficientnet_b4.aa_in1k,83.018,16.982,96.300,3.700,19.34,380,0.922,bicubic +resnet101d.ra2_in1k,83.016,16.984,96.452,3.548,44.57,320,1.000,bicubic +resnetv2_101.a1h_in1k,83.002,16.998,96.454,3.546,44.54,288,1.000,bicubic +resnext101_64x4d.tv_in1k,82.992,17.008,96.244,3.756,83.46,224,0.875,bilinear +convformer_s18.sail_in1k,82.986,17.014,96.250,3.750,26.77,224,1.000,bicubic +ecaresnet101d.miil_in1k,82.984,17.016,96.542,3.458,44.57,288,0.950,bicubic +maxvit_rmlp_nano_rw_256.sw_in1k,82.954,17.046,96.266,3.734,15.50,256,0.950,bicubic +mobilevitv2_175.cvnets_in22k_ft_in1k_384,82.938,17.062,96.426,3.574,14.25,384,1.000,bicubic +maxvit_nano_rw_256.sw_in1k,82.928,17.072,96.220,3.780,15.45,256,0.950,bicubic +xcit_large_24_p16_224.fb_in1k,82.900,17.100,95.886,4.114,189.10,224,1.000,bicubic +resnest101e.in1k,82.884,17.116,96.322,3.678,48.28,256,0.875,bilinear +resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k,82.876,17.124,96.582,3.418,236.34,224,0.875,bicubic +convnext_nano.in12k_ft_in1k,82.862,17.138,96.556,3.444,15.59,288,1.000,bicubic +resnext101_32x8d.tv2_in1k,82.832,17.168,96.232,3.768,88.79,224,0.965,bilinear +resnetv2_50x1_bit.goog_distilled_in1k,82.820,17.180,96.514,3.486,25.55,224,0.875,bicubic +sequencer2d_m.in1k,82.812,17.188,96.274,3.726,38.31,224,0.875,bicubic +regnetx_320.tv2_in1k,82.810,17.190,96.208,3.792,107.81,224,0.965,bicubic +swinv2_tiny_window16_256.ms_in1k,82.804,17.196,96.236,3.764,28.35,256,0.900,bicubic +pnasnet5large.tf_in1k,82.782,17.218,96.040,3.960,86.06,331,0.911,bicubic +resnet101.a1h_in1k,82.778,17.222,96.310,3.690,44.55,288,1.000,bicubic +rexnet_300.nav_in1k,82.774,17.226,96.236,3.764,34.71,224,0.875,bicubic +vit_relpos_base_patch16_clsgap_224.sw_in1k,82.760,17.240,96.172,3.828,86.43,224,0.900,bicubic +nfnet_l0.ra2_in1k,82.752,17.248,96.516,3.484,35.07,288,1.000,bicubic +resnet152.a1_in1k,82.732,17.268,95.720,4.280,60.19,288,1.000,bicubic +regnety_032.ra_in1k,82.728,17.272,96.416,3.584,19.44,288,1.000,bicubic +twins_pcpvt_base.in1k,82.710,17.290,96.346,3.654,43.83,224,0.900,bicubic +cs3edgenet_x.c2_in1k,82.708,17.292,96.370,3.630,47.82,288,1.000,bicubic +resnext101_32x8d.fb_wsl_ig1b_ft_in1k,82.698,17.302,96.632,3.368,88.79,224,0.875,bilinear +convnext_tiny.fb_in1k,82.698,17.302,96.144,3.856,28.59,288,1.000,bicubic +davit_tiny.msft_in1k,82.696,17.304,96.274,3.726,28.36,224,0.950,bicubic +tf_efficientnetv2_b3.in21k_ft_in1k,82.670,17.330,96.626,3.374,14.36,300,0.900,bicubic +convnextv2_nano.fcmae_ft_in22k_in1k,82.664,17.336,96.520,3.480,15.62,288,1.000,bicubic +cs3sedarknet_x.c2ns_in1k,82.658,17.342,96.350,3.650,35.40,288,1.000,bicubic +regnety_160.tv2_in1k,82.642,17.358,96.216,3.784,83.59,224,0.965,bicubic +xcit_medium_24_p16_224.fb_in1k,82.640,17.360,95.984,4.016,84.40,224,1.000,bicubic +regnetz_c16.ra3_in1k,82.634,17.366,96.322,3.678,13.46,320,1.000,bicubic +regnetz_c16_evos.ch_in1k,82.632,17.368,96.474,3.526,13.49,320,0.950,bicubic +nasnetalarge.tf_in1k,82.626,17.374,96.042,3.958,88.75,331,0.911,bicubic +poolformerv2_m48.sail_in1k,82.620,17.380,96.072,3.928,73.35,224,1.000,bicubic +tf_efficientnet_b4.in1k,82.608,17.392,96.128,3.872,19.34,380,0.922,bicubic +resnet152.a2_in1k,82.608,17.392,95.752,4.248,60.19,288,1.000,bicubic +resnetaa50d.sw_in12k_ft_in1k,82.600,17.400,96.498,3.502,25.58,288,1.000,bicubic +levit_384.fb_dist_in1k,82.596,17.404,96.018,3.982,39.13,224,0.900,bicubic +regnety_080_tv.tv2_in1k,82.590,17.410,96.248,3.752,39.38,224,0.965,bicubic +levit_conv_384.fb_dist_in1k,82.590,17.410,96.018,3.982,39.13,224,0.900,bicubic +mobilevitv2_150.cvnets_in22k_ft_in1k_384,82.586,17.414,96.314,3.686,10.59,384,1.000,bicubic +convnext_tiny_hnf.a2h_in1k,82.584,17.416,96.008,3.992,28.59,288,1.000,bicubic +vit_base_patch32_clip_224.laion2b_ft_in1k,82.582,17.418,96.200,3.800,88.22,224,0.900,bicubic +xcit_small_24_p16_224.fb_in1k,82.580,17.420,96.012,3.988,47.67,224,1.000,bicubic +eca_nfnet_l0.ra2_in1k,82.578,17.422,96.494,3.506,24.14,288,1.000,bicubic +vit_relpos_medium_patch16_cls_224.sw_in1k,82.572,17.428,96.068,3.932,38.76,224,0.900,bicubic +xcit_tiny_24_p16_384.fb_dist_in1k,82.570,17.430,96.276,3.724,12.12,384,1.000,bicubic +xcit_tiny_24_p8_224.fb_dist_in1k,82.566,17.434,96.172,3.828,12.11,224,1.000,bicubic +regnetx_160.tv2_in1k,82.566,17.434,96.058,3.942,54.28,224,0.965,bicubic +efficientformer_l3.snap_dist_in1k,82.550,17.450,96.248,3.752,31.41,224,0.950,bicubic +resnet61q.ra2_in1k,82.524,17.476,96.130,3.870,36.85,288,1.000,bicubic +flexivit_small.1200ep_in1k,82.520,17.480,96.124,3.876,22.06,240,0.950,bicubic +crossvit_18_dagger_240.in1k,82.516,17.484,96.066,3.934,44.27,240,0.875,bicubic +wide_resnet101_2.tv2_in1k,82.498,17.502,96.018,3.982,126.89,224,0.965,bilinear +vit_relpos_base_patch16_224.sw_in1k,82.496,17.504,96.138,3.862,86.43,224,0.900,bicubic +convnextv2_nano.fcmae_ft_in1k,82.486,17.514,96.226,3.774,15.62,288,1.000,bicubic +poolformer_m48.sail_in1k,82.482,17.518,95.966,4.034,73.47,224,0.950,bicubic +vit_relpos_medium_patch16_224.sw_in1k,82.462,17.538,96.082,3.918,38.75,224,0.900,bicubic +gc_efficientnetv2_rw_t.agc_in1k,82.452,17.548,96.292,3.708,13.68,288,1.000,bicubic +pit_b_224.in1k,82.438,17.562,95.716,4.284,73.76,224,0.900,bicubic +mvitv2_tiny.fb_in1k,82.410,17.590,96.152,3.848,24.17,224,0.900,bicubic +coatnet_bn_0_rw_224.sw_in1k,82.400,17.600,96.186,3.814,27.44,224,0.950,bicubic +crossvit_18_240.in1k,82.396,17.604,96.060,3.940,43.27,240,0.875,bicubic +coatnet_0_rw_224.sw_in1k,82.390,17.610,95.836,4.164,27.44,224,0.950,bicubic +xcit_tiny_12_p8_384.fb_dist_in1k,82.388,17.612,96.220,3.780,6.71,384,1.000,bicubic +tf_efficientnet_b2.ns_jft_in1k,82.378,17.622,96.254,3.746,9.11,260,0.890,bicubic +coat_small.in1k,82.362,17.638,96.208,3.792,21.69,224,0.900,bicubic +flexivit_small.600ep_in1k,82.362,17.638,96.082,3.918,22.06,240,0.950,bicubic +resnet51q.ra2_in1k,82.360,17.640,96.182,3.818,35.70,288,1.000,bilinear +ecaresnet50t.ra2_in1k,82.352,17.648,96.140,3.860,25.57,320,0.950,bicubic +efficientnetv2_rw_t.ra2_in1k,82.350,17.650,96.192,3.808,13.65,288,1.000,bicubic +resnetv2_101x1_bit.goog_in21k_ft_in1k,82.342,17.658,96.520,3.480,44.54,448,1.000,bilinear +sequencer2d_s.in1k,82.340,17.660,96.030,3.970,27.65,224,0.875,bicubic +mobilevitv2_200.cvnets_in22k_ft_in1k,82.332,17.668,95.942,4.058,18.45,256,0.888,bicubic +crossvit_15_dagger_240.in1k,82.330,17.670,95.960,4.040,28.21,240,0.875,bicubic +resnet101.a1_in1k,82.322,17.678,95.632,4.368,44.55,288,1.000,bicubic +coat_lite_small.in1k,82.314,17.686,95.848,4.152,19.84,224,0.900,bicubic +vit_relpos_medium_patch16_rpn_224.sw_in1k,82.310,17.690,95.972,4.028,38.73,224,0.900,bicubic +mixer_b16_224.miil_in21k_ft_in1k,82.306,17.694,95.720,4.280,59.88,224,0.875,bilinear +convit_base.fb_in1k,82.290,17.710,95.936,4.064,86.54,224,0.875,bicubic +resnet152.tv2_in1k,82.288,17.712,96.004,3.996,60.19,224,0.965,bilinear +resnetrs101.tf_in1k,82.284,17.716,96.014,3.986,63.62,288,0.940,bicubic +wide_resnet50_2.racm_in1k,82.280,17.720,96.064,3.936,68.88,288,0.950,bicubic +tresnet_l.miil_in1k_448,82.276,17.724,95.978,4.022,55.99,448,0.875,bilinear +efficientnet_b3.ra2_in1k,82.242,17.758,96.118,3.882,12.23,320,1.000,bicubic +vit_srelpos_medium_patch16_224.sw_in1k,82.240,17.760,95.942,4.058,38.74,224,0.900,bicubic +resnet101.a2_in1k,82.236,17.764,95.730,4.270,44.55,288,1.000,bicubic +cs3darknet_x.c2ns_in1k,82.222,17.778,96.230,3.770,35.05,288,1.000,bicubic +poolformerv2_m36.sail_in1k,82.216,17.784,95.924,4.076,56.08,224,1.000,bicubic +crossvit_base_240.in1k,82.216,17.784,95.832,4.168,105.03,240,0.875,bicubic +vit_base_patch16_rpn_224.sw_in1k,82.206,17.794,95.998,4.002,86.54,224,0.900,bicubic +cait_xxs36_384.fb_dist_in1k,82.204,17.796,96.144,3.856,17.37,384,1.000,bicubic +seresnext50_32x4d.racm_in1k,82.196,17.804,96.148,3.852,27.56,288,0.950,bicubic +pvt_v2_b2_li.in1k,82.194,17.806,96.092,3.908,22.55,224,0.900,bicubic +flexivit_small.300ep_in1k,82.178,17.822,96.036,3.964,22.06,240,0.950,bicubic +resnext50_32x4d.fb_swsl_ig1b_ft_in1k,82.174,17.826,96.222,3.778,25.03,224,0.875,bilinear +efficientformerv2_s2.snap_dist_in1k,82.166,17.834,95.910,4.090,12.71,224,0.950,bicubic +focalnet_tiny_lrf.ms_in1k,82.154,17.846,95.948,4.052,28.65,224,0.900,bicubic +swin_s3_tiny_224.ms_in1k,82.144,17.856,95.954,4.046,28.33,224,0.900,bicubic +focalnet_tiny_srf.ms_in1k,82.134,17.866,95.968,4.032,28.43,224,0.900,bicubic +ecaresnet50t.a1_in1k,82.128,17.872,95.642,4.358,25.57,288,1.000,bicubic +visformer_small.in1k,82.102,17.898,95.878,4.122,40.22,224,0.900,bicubic +poolformer_m36.sail_in1k,82.102,17.898,95.698,4.302,56.17,224,0.950,bicubic +pvt_v2_b2.in1k,82.086,17.914,95.956,4.044,25.36,224,0.900,bicubic +tresnet_xl.miil_in1k,82.074,17.926,95.926,4.074,78.44,224,0.875,bilinear +halo2botnet50ts_256.a1h_in1k,82.062,17.938,95.634,4.366,22.64,256,0.950,bicubic +coatnet_rmlp_nano_rw_224.sw_in1k,82.050,17.950,95.880,4.120,15.15,224,0.900,bicubic +hrnet_w18_ssld.paddle_in1k,82.046,17.954,96.250,3.750,21.30,288,1.000,bilinear +fbnetv3_g.ra2_in1k,82.036,17.964,96.058,3.942,16.62,288,0.950,bilinear +resnext50_32x4d.a1h_in1k,82.014,17.986,95.934,4.066,25.03,288,1.000,bicubic +resnetv2_50d_evos.ah_in1k,82.000,18.000,95.900,4.100,25.59,288,1.000,bicubic +ecaresnet101d_pruned.miil_in1k,81.998,18.002,96.160,3.840,24.88,288,0.950,bicubic +deit_base_patch16_224.fb_in1k,81.992,18.008,95.736,4.264,86.57,224,0.900,bicubic +xception41p.ra3_in1k,81.972,18.028,95.796,4.204,26.91,299,0.940,bicubic +xcit_small_12_p16_224.fb_in1k,81.970,18.030,95.812,4.188,26.25,224,1.000,bicubic +tf_efficientnetv2_b3.in1k,81.970,18.030,95.788,4.212,14.36,300,0.904,bicubic +resnetv2_50d_gn.ah_in1k,81.958,18.042,95.928,4.072,25.57,288,1.000,bicubic +gcvit_xtiny.in1k,81.954,18.046,95.968,4.032,19.98,224,0.875,bicubic +coatnext_nano_rw_224.sw_in1k,81.942,18.058,95.916,4.084,14.70,224,0.900,bicubic +mobilevitv2_175.cvnets_in22k_ft_in1k,81.938,18.062,95.790,4.210,14.25,256,0.888,bicubic +vit_base_patch32_clip_224.openai_ft_in1k,81.930,18.070,95.966,4.034,88.22,224,0.900,bicubic +xcit_tiny_24_p8_224.fb_in1k,81.892,18.108,95.970,4.030,12.11,224,1.000,bicubic +resnet101.tv2_in1k,81.890,18.110,95.768,4.232,44.55,224,0.965,bilinear +vit_small_r26_s32_224.augreg_in21k_ft_in1k,81.864,18.136,96.022,3.978,36.43,224,0.900,bicubic +resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k,81.842,18.158,96.092,3.908,194.03,224,0.875,bilinear +tf_efficientnet_b3.ap_in1k,81.826,18.174,95.626,4.374,12.23,300,0.904,bicubic +swinv2_tiny_window8_256.ms_in1k,81.820,18.180,95.994,4.006,28.35,256,0.900,bicubic +pit_s_distilled_224.in1k,81.808,18.192,95.728,4.272,24.04,224,0.900,bicubic +swinv2_cr_tiny_ns_224.sw_in1k,81.802,18.198,95.818,4.182,28.33,224,0.900,bicubic +vit_base_patch16_224.orig_in21k_ft_in1k,81.786,18.214,96.124,3.876,86.57,224,0.900,bicubic +cs3sedarknet_l.c2ns_in1k,81.784,18.216,95.958,4.042,21.91,288,0.950,bicubic +regnety_032.tv2_in1k,81.756,18.244,95.840,4.160,19.44,224,0.965,bicubic +tresnet_m.miil_in1k_448,81.708,18.292,95.574,4.426,31.39,448,0.875,bilinear +coatnet_nano_rw_224.sw_in1k,81.698,18.302,95.646,4.354,15.14,224,0.900,bicubic +twins_svt_small.in1k,81.678,18.322,95.660,4.340,24.06,224,0.900,bicubic +halonet50ts.a1h_in1k,81.660,18.340,95.610,4.390,22.73,256,0.940,bicubic +ecaresnet50t.a2_in1k,81.658,18.342,95.552,4.448,25.57,288,1.000,bicubic +ecaresnet50d.miil_in1k,81.650,18.350,95.882,4.118,25.58,288,0.950,bicubic +tf_efficientnet_b3.aa_in1k,81.644,18.356,95.722,4.278,12.23,300,0.904,bicubic +rexnet_200.nav_in1k,81.636,18.364,95.664,4.336,16.37,224,0.875,bicubic +resnetaa50.a1h_in1k,81.614,18.386,95.802,4.198,25.56,288,1.000,bicubic +resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k,81.606,18.394,96.040,3.960,88.79,224,0.875,bilinear +wide_resnet50_2.tv2_in1k,81.606,18.394,95.762,4.238,68.88,224,0.965,bilinear +convnext_nano_ols.d1h_in1k,81.600,18.400,95.636,4.364,15.65,288,1.000,bicubic +poolformerv2_s36.sail_in1k,81.568,18.432,95.690,4.310,30.79,224,1.000,bicubic +edgenext_small.usi_in1k,81.564,18.436,95.712,4.288,5.59,320,1.000,bicubic +lamhalobotnet50ts_256.a1h_in1k,81.554,18.446,95.490,4.510,22.57,256,0.950,bicubic +regnetx_080.tv2_in1k,81.538,18.462,95.542,4.458,39.57,224,0.965,bicubic +tnt_s_patch16_224,81.536,18.464,95.736,4.264,23.76,224,0.900,bicubic +crossvit_15_240.in1k,81.534,18.466,95.692,4.308,27.53,240,0.875,bicubic +tf_efficientnet_lite4.in1k,81.532,18.468,95.664,4.336,13.01,380,0.920,bilinear +levit_conv_256.fb_dist_in1k,81.520,18.480,95.490,4.510,18.89,224,0.900,bicubic +levit_256.fb_dist_in1k,81.514,18.486,95.492,4.508,18.89,224,0.900,bicubic +vit_large_patch32_384.orig_in21k_ft_in1k,81.510,18.490,96.090,3.910,306.63,384,1.000,bicubic +mobilevitv2_150.cvnets_in22k_ft_in1k,81.488,18.512,95.668,4.332,10.59,256,0.888,bicubic +convnext_nano.d1h_in1k,81.482,18.518,95.658,4.342,15.59,288,1.000,bicubic +tresnet_l.miil_in1k,81.480,18.520,95.624,4.376,55.99,224,0.875,bilinear +resnext50_32x4d.a1_in1k,81.466,18.534,95.174,4.826,25.03,288,1.000,bicubic +vit_relpos_small_patch16_224.sw_in1k,81.462,18.538,95.820,4.180,21.98,224,0.900,bicubic +gcresnet50t.ra2_in1k,81.456,18.544,95.718,4.282,25.90,288,1.000,bicubic +resnet50d.a1_in1k,81.450,18.550,95.218,4.782,25.58,288,1.000,bicubic +poolformer_s36.sail_in1k,81.430,18.570,95.444,4.556,30.86,224,0.900,bicubic +nest_tiny_jx.goog_in1k,81.426,18.574,95.618,4.382,17.06,224,0.875,bicubic +convit_small.fb_in1k,81.420,18.580,95.744,4.256,27.78,224,0.875,bicubic +ecaresnetlight.miil_in1k,81.408,18.592,95.816,4.184,30.16,288,0.950,bicubic +resnetv2_50.a1h_in1k,81.398,18.602,95.726,4.274,25.55,288,1.000,bicubic +tf_efficientnet_b1.ns_jft_in1k,81.394,18.606,95.736,4.264,7.79,240,0.882,bicubic +vit_small_patch16_224.augreg_in21k_ft_in1k,81.384,18.616,96.136,3.864,22.05,224,0.900,bicubic +swin_tiny_patch4_window7_224.ms_in1k,81.376,18.624,95.544,4.456,28.29,224,0.900,bicubic +deit3_small_patch16_224.fb_in1k,81.370,18.630,95.456,4.544,22.06,224,0.900,bicubic +convmixer_1536_20.in1k,81.362,18.638,95.614,4.386,51.63,224,0.960,bicubic +resnet50d.ra2_in1k,81.356,18.644,95.738,4.262,25.58,288,0.950,bicubic +gernet_l.idstcv_in1k,81.354,18.646,95.530,4.470,31.08,256,0.875,bilinear +efficientnet_el.ra_in1k,81.312,18.688,95.536,4.464,10.59,300,0.904,bicubic +legacy_senet154.in1k,81.308,18.692,95.492,4.508,115.09,224,0.875,bilinear +resnext50_32x4d.a2_in1k,81.304,18.696,95.096,4.904,25.03,288,1.000,bicubic +seresnet50.ra2_in1k,81.284,18.716,95.652,4.348,28.09,288,0.950,bicubic +coat_mini.in1k,81.270,18.730,95.382,4.618,10.34,224,0.900,bicubic +gcresnext50ts.ch_in1k,81.232,18.768,95.544,4.456,15.67,288,1.000,bicubic +senet154.gluon_in1k,81.226,18.774,95.358,4.642,115.09,224,0.875,bicubic +res2net101d.in1k,81.224,18.776,95.352,4.648,45.23,224,0.875,bilinear +deit_small_distilled_patch16_224.fb_in1k,81.218,18.782,95.384,4.616,22.44,224,0.900,bicubic +resnet50_gn.a1h_in1k,81.216,18.784,95.628,4.372,25.56,288,0.950,bicubic +resnet50.a1_in1k,81.214,18.786,95.102,4.898,25.56,288,1.000,bicubic +xcit_tiny_12_p8_224.fb_dist_in1k,81.212,18.788,95.602,4.398,6.71,224,1.000,bicubic +resnet50.fb_swsl_ig1b_ft_in1k,81.182,18.818,95.992,4.008,25.56,224,0.875,bilinear +resnext50_32x4d.tv2_in1k,81.182,18.818,95.340,4.660,25.03,224,0.965,bilinear +sebotnet33ts_256.a1h_in1k,81.166,18.834,95.168,4.832,13.70,256,0.940,bicubic +resnet50d.a2_in1k,81.164,18.836,95.084,4.916,25.58,288,1.000,bicubic +lambda_resnet50ts.a1h_in1k,81.156,18.844,95.098,4.902,21.54,256,0.950,bicubic +resmlp_36_224.fb_distilled_in1k,81.148,18.852,95.478,4.522,44.69,224,0.875,bicubic +mobilevitv2_200.cvnets_in1k,81.134,18.866,95.362,4.638,18.45,256,0.888,bicubic +resnest50d_4s2x40d.in1k,81.120,18.880,95.560,4.440,30.42,224,0.875,bicubic +vit_small_patch16_384.augreg_in1k,81.116,18.884,95.574,4.426,22.20,384,1.000,bicubic +seresnet50.a2_in1k,81.106,18.894,95.222,4.778,28.09,288,1.000,bicubic +vit_base_patch16_384.augreg_in1k,81.102,18.898,95.330,4.670,86.86,384,1.000,bicubic +seresnet50.a1_in1k,81.102,18.898,95.120,4.880,28.09,288,1.000,bicubic +twins_pcpvt_small.in1k,81.096,18.904,95.648,4.352,24.11,224,0.900,bicubic +vit_srelpos_small_patch16_224.sw_in1k,81.092,18.908,95.570,4.430,21.97,224,0.900,bicubic +pit_s_224.in1k,81.092,18.908,95.332,4.668,23.46,224,0.900,bicubic +convnextv2_pico.fcmae_ft_in1k,81.086,18.914,95.480,4.520,9.07,288,0.950,bicubic +haloregnetz_b.ra3_in1k,81.048,18.952,95.200,4.800,11.68,224,0.940,bicubic +resmlp_big_24_224.fb_in1k,81.036,18.964,95.018,4.982,129.14,224,0.875,bicubic +crossvit_small_240.in1k,81.016,18.984,95.456,4.544,26.86,240,0.875,bicubic +resnet152s.gluon_in1k,81.002,18.998,95.410,4.590,60.32,224,0.875,bicubic +resnest50d_1s4x24d.in1k,80.988,19.012,95.326,4.674,25.68,224,0.875,bicubic +cait_xxs24_384.fb_dist_in1k,80.972,19.028,95.640,4.360,12.03,384,1.000,bicubic +resnet50.d_in1k,80.972,19.028,95.430,4.570,25.56,288,1.000,bicubic +swin_tiny_patch4_window7_224.ms_in22k_ft_in1k,80.968,19.032,96.014,3.986,28.29,224,0.900,bicubic +resnest50d.in1k,80.964,19.036,95.384,4.616,27.48,224,0.875,bilinear +sehalonet33ts.ra2_in1k,80.956,19.044,95.276,4.724,13.69,256,0.940,bicubic +xcit_tiny_12_p16_384.fb_dist_in1k,80.938,19.062,95.414,4.586,6.72,384,1.000,bicubic +regnetx_032.tv2_in1k,80.926,19.074,95.278,4.722,15.30,224,0.965,bicubic +resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k,80.924,19.076,95.734,4.266,44.18,224,0.875,bilinear +resnet50.c1_in1k,80.912,19.088,95.552,4.448,25.56,288,1.000,bicubic +cs3darknet_l.c2ns_in1k,80.896,19.104,95.662,4.338,21.16,288,0.950,bicubic +seresnext101_64x4d.gluon_in1k,80.896,19.104,95.296,4.704,88.23,224,0.875,bicubic +seresnext101_32x4d.gluon_in1k,80.892,19.108,95.296,4.704,48.96,224,0.875,bicubic +cs3darknet_focus_l.c2ns_in1k,80.880,19.120,95.682,4.318,21.15,288,0.950,bicubic +tf_efficientnet_b3.in1k,80.878,19.122,95.300,4.700,12.23,300,0.904,bicubic +resnet50.c2_in1k,80.870,19.130,95.534,4.466,25.56,288,1.000,bicubic +mobilevitv2_175.cvnets_in1k,80.860,19.140,95.256,4.744,14.25,256,0.888,bicubic +efficientnet_b3_pruned.in1k,80.852,19.148,95.244,4.756,9.86,300,0.904,bicubic +resnet50.tv2_in1k,80.850,19.150,95.434,4.566,25.56,224,0.965,bilinear +regnety_320.pycls_in1k,80.808,19.192,95.238,4.762,145.05,224,0.875,bicubic +tresnet_m.miil_in1k,80.798,19.202,94.856,5.144,31.39,224,0.875,bilinear +ecaresnet50d_pruned.miil_in1k,80.790,19.210,95.570,4.430,19.94,288,0.950,bicubic +seresnet33ts.ra2_in1k,80.784,19.216,95.362,4.638,19.78,288,1.000,bicubic +resnet50.a2_in1k,80.772,19.228,94.988,5.012,25.56,288,1.000,bicubic +resmlp_24_224.fb_distilled_in1k,80.756,19.244,95.224,4.776,30.02,224,0.875,bicubic +poolformerv2_s24.sail_in1k,80.748,19.252,95.310,4.690,21.34,224,1.000,bicubic +gernet_m.idstcv_in1k,80.734,19.266,95.186,4.814,21.14,224,0.875,bilinear +regnetz_b16.ra3_in1k,80.728,19.272,95.520,4.480,9.72,288,1.000,bicubic +vit_base_patch32_224.augreg_in21k_ft_in1k,80.716,19.284,95.566,4.434,88.22,224,0.900,bicubic +resnet50.b1k_in1k,80.706,19.294,95.432,4.568,25.56,288,1.000,bicubic +resnext50_32x4d.ra_in1k,80.698,19.302,95.390,4.610,25.03,288,0.950,bicubic +resnet50.a1h_in1k,80.676,19.324,95.306,4.694,25.56,224,1.000,bicubic +eca_resnet33ts.ra2_in1k,80.672,19.328,95.364,4.636,19.68,288,1.000,bicubic +regnety_016.tv2_in1k,80.668,19.332,95.330,4.670,11.20,224,0.965,bicubic +resnext50d_32x4d.bt_in1k,80.664,19.336,95.420,4.580,25.05,288,0.950,bicubic +nf_resnet50.ra2_in1k,80.640,19.360,95.332,4.668,25.56,288,0.940,bicubic +eva02_tiny_patch14_336.mim_in22k_ft_in1k,80.630,19.370,95.526,4.474,5.76,336,1.000,bicubic +efficientnet_b2.ra_in1k,80.610,19.390,95.314,4.686,9.11,288,1.000,bicubic +gcresnet33ts.ra2_in1k,80.600,19.400,95.320,4.680,19.88,288,1.000,bicubic +resnext101_64x4d.gluon_in1k,80.600,19.400,94.992,5.008,83.46,224,0.875,bicubic +cspresnext50.ra_in1k,80.556,19.444,95.322,4.678,20.57,256,0.887,bilinear +resnet152.a3_in1k,80.546,19.454,95.000,5.000,60.19,224,0.950,bicubic +darknet53.c2ns_in1k,80.536,19.464,95.434,4.566,41.61,288,1.000,bicubic +maxvit_rmlp_pico_rw_256.sw_in1k,80.514,19.486,95.214,4.786,7.52,256,0.950,bicubic +repvgg_b3.rvgg_in1k,80.506,19.494,95.254,4.746,123.09,224,0.875,bilinear +darknetaa53.c2ns_in1k,80.502,19.498,95.322,4.678,36.02,288,1.000,bilinear +efficientformer_l1.snap_dist_in1k,80.498,19.502,94.988,5.012,12.29,224,0.950,bicubic +vit_small_patch32_384.augreg_in21k_ft_in1k,80.486,19.514,95.596,4.404,22.92,384,1.000,bicubic +mixnet_xl.ra_in1k,80.482,19.518,94.936,5.064,11.90,224,0.875,bicubic +resnet152d.gluon_in1k,80.476,19.524,95.202,4.798,60.21,224,0.875,bicubic +convnext_pico_ols.d1_in1k,80.464,19.536,95.246,4.754,9.06,288,1.000,bicubic +inception_resnet_v2.tf_in1k,80.462,19.538,95.308,4.692,55.84,299,0.897,bicubic +edgenext_small_rw.sw_in1k,80.458,19.542,95.190,4.810,7.83,320,1.000,bicubic +resnet50.b2k_in1k,80.454,19.546,95.318,4.682,25.56,288,1.000,bicubic +xcit_tiny_24_p16_224.fb_dist_in1k,80.454,19.546,95.218,4.782,12.12,224,1.000,bicubic +resnet101d.gluon_in1k,80.426,19.574,95.024,4.976,44.57,224,0.875,bicubic +convnext_pico.d1_in1k,80.414,19.586,95.050,4.950,9.05,288,0.950,bicubic +regnety_120.pycls_in1k,80.386,19.614,95.128,4.872,51.82,224,0.875,bicubic +mobilevitv2_150.cvnets_in1k,80.370,19.630,95.074,4.926,10.59,256,0.888,bicubic +ese_vovnet39b.ra_in1k,80.350,19.650,95.366,4.634,24.57,288,0.950,bicubic +resnetv2_50x1_bit.goog_in21k_ft_in1k,80.340,19.660,95.680,4.320,25.55,448,1.000,bilinear +resnext101_32x4d.gluon_in1k,80.340,19.660,94.930,5.070,44.18,224,0.875,bicubic +resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k,80.338,19.662,95.398,4.602,25.03,224,0.875,bilinear +rexnet_150.nav_in1k,80.324,19.676,95.174,4.826,9.73,224,0.875,bicubic +tf_efficientnet_b2.ap_in1k,80.308,19.692,95.028,4.972,9.11,260,0.890,bicubic +resnet101s.gluon_in1k,80.302,19.698,95.150,4.850,44.67,224,0.875,bicubic +efficientnet_el_pruned.in1k,80.300,19.700,95.222,4.778,10.59,300,0.904,bicubic +regnety_160.pycls_in1k,80.298,19.702,94.962,5.038,83.59,224,0.875,bicubic +poolformer_s24.sail_in1k,80.296,19.704,95.072,4.928,21.39,224,0.900,bicubic +res2net50d.in1k,80.254,19.746,95.036,4.964,25.72,224,0.875,bilinear +tf_efficientnet_el.in1k,80.252,19.748,95.118,4.882,10.59,300,0.904,bicubic +regnetx_320.pycls_in1k,80.246,19.754,95.022,4.978,107.81,224,0.875,bicubic +vit_base_patch16_224.sam_in1k,80.244,19.756,94.756,5.244,86.57,224,0.900,bicubic +resnetblur50.bt_in1k,80.234,19.766,95.234,4.766,25.56,288,0.950,bicubic +legacy_seresnext101_32x4d.in1k,80.230,19.770,95.026,4.974,48.96,224,0.875,bilinear +repvgg_b3g4.rvgg_in1k,80.216,19.784,95.092,4.908,83.83,224,0.875,bilinear +tf_efficientnetv2_b2.in1k,80.194,19.806,95.042,4.958,10.10,260,0.890,bicubic +convmixer_768_32.in1k,80.168,19.832,95.074,4.926,21.11,224,0.960,bicubic +dpn107.mx_in1k,80.168,19.832,94.942,5.058,86.92,224,0.875,bicubic +skresnext50_32x4d.ra_in1k,80.162,19.838,94.640,5.360,27.48,224,0.875,bicubic +inception_v4.tf_in1k,80.156,19.844,94.968,5.032,42.68,299,0.875,bicubic +tf_efficientnet_b2.aa_in1k,80.084,19.916,94.906,5.094,9.11,260,0.890,bicubic +cspdarknet53.ra_in1k,80.062,19.938,95.080,4.920,27.64,256,0.887,bilinear +dpn92.mx_in1k,80.038,19.962,94.860,5.140,37.67,224,0.875,bicubic +inception_resnet_v2.tf_ens_adv_in1k,79.978,20.022,94.946,5.054,55.84,299,0.897,bicubic +resnet50.ram_in1k,79.976,20.024,95.052,4.948,25.56,288,0.950,bicubic +efficientnet_b2_pruned.in1k,79.920,20.080,94.852,5.148,8.31,260,0.890,bicubic +resnet152c.gluon_in1k,79.910,20.090,94.844,5.156,60.21,224,0.875,bicubic +seresnext50_32x4d.gluon_in1k,79.910,20.090,94.824,5.176,27.56,224,0.875,bicubic +resnetrs50.tf_in1k,79.896,20.104,94.972,5.028,35.69,224,0.910,bicubic +xception71.tf_in1k,79.872,20.128,94.928,5.072,42.34,299,0.903,bicubic +regnety_080.pycls_in1k,79.868,20.132,94.832,5.168,39.18,224,0.875,bicubic +regnetx_160.pycls_in1k,79.866,20.134,94.828,5.172,54.28,224,0.875,bicubic +ecaresnet26t.ra2_in1k,79.850,20.150,95.090,4.910,16.01,320,0.950,bicubic +deit_small_patch16_224.fb_in1k,79.844,20.156,95.044,4.956,22.05,224,0.900,bicubic +levit_conv_192.fb_dist_in1k,79.838,20.162,94.784,5.216,10.95,224,0.900,bicubic +levit_192.fb_dist_in1k,79.838,20.162,94.778,5.222,10.95,224,0.900,bicubic +resnet50.ra_in1k,79.836,20.164,94.966,5.034,25.56,288,0.950,bicubic +dpn131.mx_in1k,79.814,20.186,94.700,5.300,79.25,224,0.875,bicubic +resnet101.a3_in1k,79.814,20.186,94.606,5.394,44.55,224,0.950,bicubic +tf_efficientnet_lite3.in1k,79.808,20.192,94.912,5.088,8.20,300,0.904,bilinear +resmlp_36_224.fb_in1k,79.772,20.228,94.884,5.116,44.69,224,0.875,bicubic +cait_xxs36_224.fb_dist_in1k,79.746,20.254,94.874,5.126,17.30,224,1.000,bicubic +gcvit_xxtiny.in1k,79.728,20.272,95.080,4.920,12.00,224,0.875,bicubic +resnet33ts.ra2_in1k,79.726,20.274,94.828,5.172,19.68,288,1.000,bicubic +regnety_064.pycls_in1k,79.714,20.286,94.766,5.234,30.58,224,0.875,bicubic +resnet152.gluon_in1k,79.694,20.306,94.736,5.264,60.19,224,0.875,bicubic +xcit_tiny_12_p8_224.fb_in1k,79.688,20.312,95.054,4.946,6.71,224,1.000,bicubic +efficientformerv2_s1.snap_dist_in1k,79.688,20.312,94.710,5.290,6.19,224,0.950,bicubic +fbnetv3_d.ra2_in1k,79.682,20.318,94.944,5.056,10.31,256,0.950,bilinear +mobilevitv2_125.cvnets_in1k,79.680,20.320,94.858,5.142,7.48,256,0.888,bicubic +dpn98.mx_in1k,79.670,20.330,94.654,5.346,61.57,224,0.875,bicubic +gmlp_s16_224.ra3_in1k,79.644,20.356,94.622,5.378,19.42,224,0.875,bicubic +resnet50.bt_in1k,79.640,20.360,94.892,5.108,25.56,288,0.950,bicubic +tf_efficientnet_b2.in1k,79.604,20.396,94.714,5.286,9.11,260,0.890,bicubic +cspresnet50.ra_in1k,79.590,20.410,94.712,5.288,21.62,256,0.887,bilinear +regnetx_120.pycls_in1k,79.588,20.412,94.742,5.258,46.11,224,0.875,bicubic +xception65.tf_in1k,79.556,20.444,94.654,5.346,39.92,299,0.903,bicubic +ecaresnet50t.a3_in1k,79.552,20.448,94.694,5.306,25.57,224,0.950,bicubic +resnet101c.gluon_in1k,79.542,20.458,94.586,5.414,44.57,224,0.875,bicubic +rexnet_130.nav_in1k,79.504,20.496,94.678,5.322,7.56,224,0.875,bicubic +eca_halonext26ts.c1_in1k,79.486,20.514,94.600,5.400,10.76,256,0.940,bicubic +vit_relpos_base_patch32_plus_rpn_256.sw_in1k,79.484,20.516,94.138,5.862,119.42,256,0.900,bicubic +hrnet_w64.ms_in1k,79.474,20.526,94.646,5.354,128.06,224,0.875,bilinear tf_efficientnetv2_b1.in1k,79.462,20.538,94.722,5.278,8.14,240,0.882,bicubic -dla102x2,79.448,20.552,94.640,5.360,41.28,224,0.875,bilinear -xcit_tiny_24_p16_224,79.444,20.556,94.882,5.118,12.12,224,1.000,bicubic -resmlp_24_224,79.374,20.626,94.546,5.454,30.02,224,0.875,bicubic -repvgg_b2g4,79.366,20.634,94.688,5.312,61.76,224,0.875,bilinear -gluon_resnext50_32x4d,79.354,20.646,94.426,5.574,25.03,224,0.875,bicubic -ese_vovnet39b,79.320,20.680,94.712,5.288,24.57,224,0.875,bicubic -resnext101_32x8d,79.308,20.692,94.518,5.482,88.79,224,0.875,bilinear -tf_efficientnet_cc_b1_8e.in1k,79.308,20.692,94.370,5.630,39.72,240,0.882,bicubic -gluon_resnet101_v1b,79.306,20.694,94.524,5.476,44.55,224,0.875,bicubic -pit_xs_distilled_224,79.306,20.694,94.364,5.636,11.00,224,0.900,bicubic -hrnet_w48,79.300,20.700,94.512,5.488,77.47,224,0.875,bilinear -nf_regnet_b1,79.292,20.708,94.748,5.252,10.22,288,0.900,bicubic -resnetblur50,79.286,20.714,94.638,5.362,25.56,224,0.875,bicubic -tf_efficientnet_b1.ap_in1k,79.280,20.720,94.306,5.694,7.79,240,0.882,bicubic -eca_botnext26ts_256,79.274,20.726,94.614,5.386,10.59,256,0.950,bicubic -botnet26t_256,79.272,20.728,94.528,5.472,12.49,256,0.950,bicubic -efficientnet_em.ra2_in1k,79.252,20.748,94.794,5.206,6.90,240,0.882,bicubic -ssl_resnet50,79.222,20.778,94.832,5.168,25.56,224,0.875,bilinear -dpn68b,79.216,20.784,94.414,5.586,12.61,224,0.875,bicubic -resnet33ts,79.214,20.786,94.574,5.426,19.68,256,0.900,bicubic -res2net50_26w_8s,79.200,20.800,94.368,5.632,48.40,224,0.875,bilinear -res2net101_26w_4s,79.198,20.802,94.432,5.568,45.21,224,0.875,bilinear -regnetx_080,79.194,20.806,94.560,5.440,39.57,224,0.875,bicubic -vit_base_patch16_224.augreg_in1k,79.154,20.846,94.100,5.900,86.57,224,0.900,bicubic -fbnetv3_b.ra2_in1k,79.150,20.850,94.746,5.254,8.60,256,0.950,bilinear -halonet26t,79.100,20.900,94.312,5.688,12.48,256,0.950,bicubic -lambda_resnet26t,79.096,20.904,94.592,5.408,10.96,256,0.940,bicubic -coat_lite_mini,79.088,20.912,94.604,5.396,11.01,224,0.900,bicubic -legacy_seresnext50_32x4d,79.078,20.922,94.436,5.564,27.56,224,0.875,bilinear -gluon_resnet50_v1d,79.074,20.926,94.470,5.530,25.58,224,0.875,bicubic -regnetx_064,79.072,20.928,94.458,5.542,26.21,224,0.875,bicubic -xception,79.052,20.948,94.392,5.608,22.86,299,0.897,bicubic -resnet32ts,79.004,20.996,94.356,5.644,17.96,256,0.900,bicubic -mixnet_l.ft_in1k,78.976,21.024,94.182,5.818,7.33,224,0.875,bicubic -lambda_resnet26rpt_256,78.970,21.030,94.430,5.570,10.99,256,0.940,bicubic -convnext_femto_ols.d1_in1k,78.934,21.066,94.532,5.468,5.23,288,0.950,bicubic -hrnet_w40,78.920,21.080,94.470,5.530,57.56,224,0.875,bilinear -convnext_tiny.fb_in22k_ft_in1k,78.908,21.092,94.674,5.326,28.59,288,1.000,bicubic -hrnet_w44,78.896,21.104,94.368,5.632,67.06,224,0.875,bilinear -wide_resnet101_2,78.856,21.144,94.282,5.718,126.89,224,0.875,bilinear -vit_small_patch16_224.augreg_in1k,78.846,21.154,94.284,5.716,22.05,224,0.900,bicubic -tf_efficientnet_b1.aa_in1k,78.826,21.174,94.198,5.802,7.79,240,0.882,bicubic -gluon_inception_v3,78.806,21.194,94.370,5.630,23.83,299,0.875,bicubic -efficientnet_b1.ft_in1k,78.794,21.206,94.342,5.658,7.79,256,1.000,bicubic -repvgg_b2,78.792,21.208,94.414,5.586,89.02,224,0.875,bilinear -tf_mixnet_l.in1k,78.774,21.226,93.998,6.002,7.33,224,0.875,bicubic -vit_base_patch32_384.augreg_in1k,78.760,21.240,94.228,5.772,88.30,384,1.000,bicubic -gluon_resnet50_v1s,78.712,21.288,94.238,5.762,25.68,224,0.875,bicubic -convnext_femto.d1_in1k,78.704,21.296,94.434,5.566,5.22,288,0.950,bicubic -pvt_v2_b1,78.694,21.306,94.492,5.508,14.01,224,0.900,bicubic -dla169,78.688,21.312,94.336,5.664,53.39,224,0.875,bilinear -legacy_seresnet152,78.660,21.340,94.370,5.630,66.82,224,0.875,bilinear -tf_efficientnet_b0.ns_jft_in1k,78.658,21.342,94.376,5.624,5.29,224,0.875,bicubic -xcit_tiny_12_p16_224_dist,78.578,21.422,94.196,5.804,6.72,224,1.000,bicubic -res2net50_26w_6s,78.570,21.430,94.124,5.876,37.05,224,0.875,bilinear -xception41,78.516,21.484,94.278,5.722,26.97,299,0.903,bicubic -dla102x,78.510,21.490,94.228,5.772,26.31,224,0.875,bilinear -levit_128,78.486,21.514,94.010,5.990,9.21,224,0.900,bicubic -regnetx_040,78.482,21.518,94.244,5.756,22.12,224,0.875,bicubic -resnest26d,78.478,21.522,94.298,5.702,17.07,224,0.875,bilinear -dla60_res2net,78.464,21.536,94.206,5.794,20.85,224,0.875,bilinear -hrnet_w32,78.450,21.550,94.186,5.814,41.23,224,0.875,bilinear -dla60_res2next,78.440,21.560,94.152,5.848,17.03,224,0.875,bilinear -coat_tiny,78.434,21.566,94.038,5.962,5.50,224,0.900,bicubic -vit_tiny_patch16_384.augreg_in21k_ft_in1k,78.430,21.570,94.542,5.458,5.79,384,1.000,bicubic -selecsls60b,78.412,21.588,94.174,5.826,32.77,224,0.875,bicubic -cait_xxs24_224,78.386,21.614,94.310,5.690,11.96,224,1.000,bicubic -legacy_seresnet101,78.382,21.618,94.264,5.736,49.33,224,0.875,bilinear -repvgg_b1,78.366,21.634,94.098,5.902,57.42,224,0.875,bilinear -tf_efficientnetv2_b0.in1k,78.356,21.644,94.024,5.976,7.14,224,0.875,bicubic -mobilevit_s,78.312,21.688,94.146,5.854,5.58,256,0.900,bicubic -tv_resnet152,78.312,21.688,94.038,5.962,60.19,224,0.875,bilinear -dla60x,78.246,21.754,94.018,5.982,17.35,224,0.875,bilinear -res2next50,78.246,21.754,93.892,6.108,24.67,224,0.875,bilinear -bat_resnext26ts,78.242,21.758,94.100,5.900,10.73,256,0.900,bicubic -efficientnet_b1_pruned.in1k,78.236,21.764,93.834,6.166,6.33,240,0.882,bicubic -hrnet_w30,78.206,21.794,94.222,5.778,37.71,224,0.875,bilinear -pit_xs_224,78.182,21.818,94.168,5.832,10.62,224,0.900,bicubic -regnetx_032,78.172,21.828,94.088,5.912,15.30,224,0.875,bicubic -res2net50_14w_8s,78.150,21.850,93.848,6.152,25.06,224,0.875,bilinear -tf_efficientnet_em.in1k,78.130,21.870,94.044,5.956,6.90,240,0.882,bicubic -hardcorenas_f,78.104,21.896,93.802,6.198,8.20,224,0.875,bilinear -mobilevitv2_100,78.090,21.910,94.164,5.836,4.90,256,0.888,bicubic -efficientnet_es.ra_in1k,78.066,21.934,93.926,6.074,5.44,224,0.875,bicubic -gmixer_24_224,78.036,21.964,93.664,6.336,24.72,224,0.875,bicubic -dla102,78.032,21.968,93.946,6.054,33.27,224,0.875,bilinear -gluon_resnet50_v1c,78.012,21.988,93.988,6.012,25.58,224,0.875,bicubic -seresnext26t_32x4d,77.986,22.014,93.746,6.254,16.81,224,0.875,bicubic -selecsls60,77.982,22.018,93.828,6.172,30.67,224,0.875,bicubic -res2net50_26w_4s,77.964,22.036,93.854,6.146,25.70,224,0.875,bilinear -resmlp_12_distilled_224,77.944,22.056,93.558,6.442,15.35,224,0.875,bicubic -mobilenetv3_large_100.miil_in21k_ft_in1k,77.916,22.084,92.910,7.090,5.48,224,0.875,bilinear -tf_efficientnet_cc_b0_8e.in1k,77.908,22.092,93.654,6.346,24.01,224,0.875,bicubic -resnet26t,77.882,22.118,93.840,6.160,16.01,256,0.940,bicubic -seresnext26ts,77.866,22.134,93.790,6.210,10.39,256,0.900,bicubic -regnety_016,77.862,22.138,93.720,6.280,11.20,224,0.875,bicubic -tf_inception_v3,77.860,22.140,93.640,6.360,23.83,299,0.875,bicubic -rexnet_100,77.858,22.142,93.870,6.130,4.80,224,0.875,bicubic -xcit_nano_12_p8_384_dist,77.820,22.180,94.036,5.964,3.05,384,1.000,bicubic -gcresnext26ts,77.814,22.186,93.834,6.166,10.48,256,0.900,bicubic -hardcorenas_e,77.794,22.206,93.694,6.306,8.07,224,0.875,bilinear -efficientnet_b0.ra_in1k,77.698,22.302,93.532,6.468,5.29,224,0.875,bicubic -tinynet_a.in1k,77.652,22.348,93.536,6.464,6.19,192,0.875,bicubic -cs3darknet_m,77.636,22.364,94.014,5.986,9.31,288,0.950,bicubic -legacy_seresnet50,77.630,22.370,93.748,6.252,28.09,224,0.875,bilinear -tv_resnext50_32x4d,77.620,22.380,93.696,6.304,25.03,224,0.875,bilinear -seresnext26d_32x4d,77.602,22.398,93.608,6.392,16.81,224,0.875,bicubic -repvgg_b1g4,77.594,22.406,93.826,6.174,39.97,224,0.875,bilinear -adv_inception_v3,77.582,22.418,93.736,6.264,23.83,299,0.875,bicubic -gluon_resnet50_v1b,77.580,22.420,93.716,6.284,25.56,224,0.875,bicubic -res2net50_48w_2s,77.522,22.478,93.554,6.446,25.29,224,0.875,bilinear -coat_lite_tiny,77.512,22.488,93.916,6.084,5.72,224,0.900,bicubic -tf_efficientnet_lite2.in1k,77.468,22.532,93.754,6.246,6.09,260,0.890,bicubic -eca_resnext26ts,77.452,22.548,93.566,6.434,10.30,256,0.900,bicubic -inception_v3,77.440,22.560,93.476,6.524,23.83,299,0.875,bicubic -hardcorenas_d,77.432,22.568,93.484,6.516,7.50,224,0.875,bilinear -tv_resnet101,77.374,22.626,93.540,6.460,44.55,224,0.875,bilinear -densenet161,77.358,22.642,93.638,6.362,28.68,224,0.875,bicubic -tf_efficientnet_cc_b0_4e.in1k,77.306,22.694,93.334,6.666,13.31,224,0.875,bicubic -densenet201,77.286,22.714,93.478,6.522,20.01,224,0.875,bicubic -mobilenetv2_120d.ra_in1k,77.284,22.716,93.492,6.508,5.83,224,0.875,bicubic -cs3darknet_focus_m,77.278,22.722,93.970,6.030,9.30,288,0.950,bicubic -mixnet_m.ft_in1k,77.260,22.740,93.424,6.576,5.01,224,0.875,bicubic -poolformer_s12,77.230,22.770,93.504,6.496,11.92,224,0.900,bicubic -convnext_atto_ols.a2_in1k,77.216,22.784,93.680,6.320,3.70,288,0.950,bicubic -selecsls42b,77.174,22.826,93.390,6.610,32.46,224,0.875,bicubic -xcit_tiny_12_p16_224,77.120,22.880,93.712,6.288,6.72,224,1.000,bicubic -resnet34d,77.116,22.884,93.382,6.618,21.82,224,0.875,bicubic -legacy_seresnext26_32x4d,77.104,22.896,93.316,6.684,16.79,224,0.875,bicubic -tf_efficientnet_b0.ap_in1k,77.086,22.914,93.256,6.744,5.29,224,0.875,bicubic -hardcorenas_c,77.054,22.946,93.158,6.842,5.52,224,0.875,bilinear -dla60,77.032,22.968,93.318,6.682,22.04,224,0.875,bilinear -convnext_atto.d2_in1k,77.014,22.986,93.700,6.300,3.70,288,0.950,bicubic -crossvit_9_dagger_240,76.980,23.020,93.610,6.390,8.78,240,0.875,bicubic -regnetx_016,76.950,23.050,93.420,6.580,9.19,224,0.875,bicubic -convmixer_1024_20_ks9_p14,76.946,23.054,93.358,6.642,24.38,224,0.960,bicubic -tf_mixnet_m.in1k,76.942,23.058,93.152,6.848,5.01,224,0.875,bicubic -gernet_s,76.916,23.084,93.132,6.868,8.17,224,0.875,bilinear -skresnet34,76.912,23.088,93.322,6.678,22.28,224,0.875,bicubic -tf_efficientnet_b0.aa_in1k,76.848,23.152,93.228,6.772,5.29,224,0.875,bicubic -ese_vovnet19b_dw,76.798,23.202,93.268,6.732,6.54,224,0.875,bicubic -resnext26ts,76.780,23.220,93.130,6.870,10.30,256,0.900,bicubic -hrnet_w18,76.758,23.242,93.444,6.556,21.30,224,0.875,bilinear -resnet26d,76.696,23.304,93.150,6.850,16.01,224,0.875,bicubic -resmlp_12_224,76.654,23.346,93.180,6.820,15.35,224,0.875,bicubic -tf_efficientnet_lite1.in1k,76.642,23.358,93.226,6.774,5.42,240,0.882,bicubic -mixer_b16_224,76.600,23.400,92.228,7.772,59.88,224,0.875,bicubic -tf_efficientnet_es.in1k,76.594,23.406,93.202,6.798,5.44,224,0.875,bicubic -densenetblur121d,76.588,23.412,93.192,6.808,8.00,224,0.875,bicubic -hardcorenas_b,76.538,23.462,92.754,7.246,5.18,224,0.875,bilinear -levit_128s,76.530,23.470,92.866,7.134,7.78,224,0.900,bicubic -mobilenetv2_140.ra_in1k,76.516,23.484,92.996,7.004,6.11,224,0.875,bicubic -repvgg_a2,76.460,23.540,93.004,6.996,28.21,224,0.875,bilinear -xcit_nano_12_p8_224_dist,76.324,23.676,93.090,6.910,3.05,224,1.000,bicubic -dpn68,76.318,23.682,92.978,7.022,12.61,224,0.875,bicubic -regnety_008,76.316,23.684,93.066,6.934,6.26,224,0.875,bicubic -tv_resnet50,76.138,23.862,92.864,7.136,25.56,224,0.875,bilinear -mixnet_s.ft_in1k,75.992,24.008,92.796,7.204,4.13,224,0.875,bicubic -vit_small_patch32_224.augreg_in21k_ft_in1k,75.990,24.010,93.272,6.728,22.88,224,0.900,bicubic -vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k,75.952,24.048,93.260,6.740,6.36,384,1.000,bicubic -hardcorenas_a,75.916,24.084,92.514,7.486,5.26,224,0.875,bilinear -densenet169,75.906,24.094,93.026,6.974,14.15,224,0.875,bicubic -mobilenetv3_large_100.ra_in1k,75.766,24.234,92.542,7.458,5.48,224,0.875,bicubic -edgenext_x_small,75.688,24.312,92.766,7.234,2.34,288,1.000,bicubic -tf_mixnet_s.in1k,75.650,24.350,92.628,7.372,4.13,224,0.875,bicubic -mobilenetv3_rw.rmsp_in1k,75.634,24.366,92.708,7.292,5.48,224,0.875,bicubic -mobilevitv2_075,75.622,24.378,92.768,7.232,2.87,256,0.888,bicubic -densenet121,75.578,24.422,92.652,7.348,7.98,224,0.875,bicubic -tf_mobilenetv3_large_100.in1k,75.518,24.482,92.606,7.394,5.48,224,0.875,bilinear -resnest14d,75.506,24.494,92.518,7.482,10.61,224,0.875,bilinear -efficientnet_lite0.ra_in1k,75.484,24.516,92.510,7.490,4.65,224,0.875,bicubic -xcit_nano_12_p16_384_dist,75.458,24.542,92.694,7.306,3.05,384,1.000,bicubic -vit_tiny_patch16_224.augreg_in21k_ft_in1k,75.454,24.546,92.848,7.152,5.72,224,0.900,bicubic -semnasnet_100.rmsp_in1k,75.448,24.552,92.604,7.396,3.89,224,0.875,bicubic -resnet26,75.292,24.708,92.570,7.430,16.00,224,0.875,bicubic -regnety_006,75.246,24.754,92.532,7.468,6.06,224,0.875,bicubic -repvgg_b0,75.152,24.848,92.418,7.582,15.82,224,0.875,bilinear -fbnetc_100.rmsp_in1k,75.124,24.876,92.386,7.614,5.57,224,0.875,bilinear -hrnet_w18_small_v2,75.114,24.886,92.416,7.584,15.60,224,0.875,bilinear -resnet34,75.110,24.890,92.284,7.716,21.80,224,0.875,bilinear -regnetx_008,75.038,24.962,92.336,7.664,7.26,224,0.875,bicubic -mobilenetv2_110d.ra_in1k,75.036,24.964,92.186,7.814,4.52,224,0.875,bicubic -efficientnet_es_pruned.in1k,75.000,25.000,92.448,7.552,5.44,224,0.875,bicubic -tinynet_b.in1k,74.974,25.026,92.188,7.812,3.73,188,0.875,bicubic -vit_base_patch32_224.augreg_in1k,74.904,25.096,91.778,8.222,88.22,224,0.900,bicubic -tf_efficientnet_lite0.in1k,74.830,25.170,92.176,7.824,4.65,224,0.875,bicubic -legacy_seresnet34,74.808,25.192,92.124,7.876,21.96,224,0.875,bilinear -tv_densenet121,74.738,25.262,92.150,7.850,7.98,224,0.875,bicubic -mnasnet_100.rmsp_in1k,74.658,25.342,92.114,7.886,4.38,224,0.875,bicubic -mobilevit_xs,74.644,25.356,92.352,7.648,2.32,256,0.900,bicubic -dla34,74.630,25.370,92.078,7.922,15.74,224,0.875,bilinear -gluon_resnet34_v1b,74.588,25.412,91.990,8.010,21.80,224,0.875,bicubic -pit_ti_distilled_224,74.530,25.470,92.096,7.904,5.10,224,0.900,bicubic -deit_tiny_distilled_patch16_224,74.510,25.490,91.890,8.110,5.91,224,0.900,bicubic -vgg19_bn,74.214,25.786,91.842,8.158,143.68,224,0.875,bilinear -spnasnet_100.rmsp_in1k,74.084,25.916,91.818,8.182,4.42,224,0.875,bilinear -regnety_004,74.034,25.966,91.752,8.248,4.34,224,0.875,bicubic -ghostnet_100,73.978,26.022,91.456,8.544,5.18,224,0.875,bilinear -crossvit_9_240,73.964,26.036,91.968,8.032,8.55,240,0.875,bicubic -xcit_nano_12_p8_224,73.914,26.086,92.172,7.828,3.05,224,1.000,bicubic -regnetx_006,73.852,26.148,91.672,8.328,6.20,224,0.875,bicubic -vit_base_patch32_224.sam,73.690,26.310,91.014,8.986,88.22,224,0.900,bicubic -tf_mobilenetv3_large_075.in1k,73.438,26.562,91.350,8.650,3.99,224,0.875,bilinear -vgg16_bn,73.350,26.650,91.506,8.494,138.37,224,0.875,bilinear -crossvit_tiny_240,73.324,26.676,91.916,8.084,7.01,240,0.875,bicubic -tv_resnet34,73.312,26.688,91.426,8.574,21.80,224,0.875,bilinear -swsl_resnet18,73.276,26.724,91.734,8.266,11.69,224,0.875,bilinear -convit_tiny,73.116,26.884,91.714,8.286,5.71,224,0.875,bicubic -skresnet18,73.038,26.962,91.168,8.832,11.96,224,0.875,bicubic -semnasnet_075.rmsp_in1k,72.974,27.026,91.136,8.864,2.91,224,0.875,bicubic -mobilenetv2_100.ra_in1k,72.970,27.030,91.016,8.984,3.50,224,0.875,bicubic -pit_ti_224,72.912,27.088,91.402,8.598,4.85,224,0.900,bicubic -ssl_resnet18,72.610,27.390,91.416,8.584,11.69,224,0.875,bilinear -regnetx_004,72.396,27.604,90.830,9.170,5.16,224,0.875,bicubic -vgg19,72.368,27.632,90.872,9.128,143.67,224,0.875,bilinear -resnet14t,72.350,27.650,90.340,9.660,10.08,224,0.950,bilinear -hrnet_w18_small,72.342,27.658,90.678,9.322,13.19,224,0.875,bilinear -xcit_nano_12_p16_224_dist,72.302,27.698,90.862,9.138,3.05,224,1.000,bicubic -resnet18d,72.260,27.740,90.696,9.304,11.71,224,0.875,bicubic -tf_mobilenetv3_large_minimal_100.in1k,72.248,27.752,90.630,9.370,3.92,224,0.875,bilinear -deit_tiny_patch16_224,72.168,27.832,91.118,8.882,5.72,224,0.900,bicubic -lcnet_100.ra2_in1k,72.114,27.886,90.378,9.622,2.95,224,0.875,bicubic -mixer_l16_224,72.058,27.942,87.668,12.332,208.20,224,0.875,bicubic -edgenext_xx_small,71.866,28.134,90.544,9.456,1.33,288,1.000,bicubic -vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k,71.788,28.212,90.828,9.172,6.34,224,0.900,bicubic -legacy_seresnet18,71.744,28.256,90.334,9.666,11.78,224,0.875,bicubic -vgg16,71.594,28.406,90.382,9.618,138.36,224,0.875,bilinear -vgg13_bn,71.594,28.406,90.376,9.624,133.05,224,0.875,bilinear -tinynet_c.in1k,71.232,28.768,89.748,10.252,2.46,184,0.875,bicubic -gluon_resnet18_v1b,70.836,29.164,89.760,10.240,11.69,224,0.875,bicubic -pvt_v2_b0,70.656,29.344,90.208,9.792,3.67,224,0.900,bicubic -vgg11_bn,70.360,29.640,89.802,10.198,132.87,224,0.875,bilinear -regnety_002,70.252,29.748,89.540,10.460,3.16,224,0.875,bicubic -mobilevitv2_050,70.140,29.860,89.926,10.074,1.37,256,0.888,bicubic -xcit_nano_12_p16_224,69.954,30.046,89.754,10.246,3.05,224,1.000,bicubic -vgg13,69.926,30.074,89.246,10.754,133.05,224,0.875,bilinear -resnet18,69.748,30.252,89.078,10.922,11.69,224,0.875,bilinear -vgg11,69.024,30.976,88.628,11.372,132.86,224,0.875,bilinear -mobilevit_xxs,68.912,31.088,88.938,11.062,1.27,256,0.900,bicubic -lcnet_075.ra2_in1k,68.818,31.182,88.370,11.630,2.36,224,0.875,bicubic -regnetx_002,68.762,31.238,88.556,11.444,2.68,224,0.875,bicubic -resnet10t,68.294,31.706,88.078,11.922,5.44,224,0.950,bilinear -tf_mobilenetv3_small_100.in1k,67.922,32.078,87.664,12.336,2.54,224,0.875,bilinear -dla60x_c,67.892,32.108,88.426,11.574,1.32,224,0.875,bilinear -mobilenetv3_small_100.lamb_in1k,67.652,32.348,87.636,12.364,2.54,224,0.875,bicubic -tinynet_d.in1k,66.962,33.038,87.066,12.934,2.34,152,0.875,bicubic -mnasnet_small.lamb_in1k,66.206,33.794,86.508,13.492,2.03,224,0.875,bicubic -dla46x_c,65.970,34.030,86.980,13.020,1.07,224,0.875,bilinear -mobilenetv2_050.lamb_in1k,65.942,34.058,86.082,13.918,1.97,224,0.875,bicubic -tf_mobilenetv3_small_075.in1k,65.716,34.284,86.130,13.870,2.04,224,0.875,bilinear -mobilenetv3_small_075.lamb_in1k,65.246,34.754,85.436,14.564,2.04,224,0.875,bicubic -dla46_c,64.866,35.134,86.292,13.708,1.30,224,0.875,bilinear -lcnet_050.ra2_in1k,63.100,36.900,84.380,15.620,1.88,224,0.875,bicubic -tf_mobilenetv3_small_minimal_100.in1k,62.906,37.094,84.230,15.770,2.04,224,0.875,bilinear -tinynet_e.in1k,59.856,40.144,81.762,18.238,2.04,106,0.875,bicubic -mobilenetv3_small_050.lamb_in1k,57.890,42.110,80.194,19.806,1.59,224,0.875,bicubic +xcit_tiny_24_p16_224.fb_in1k,79.448,20.552,94.878,5.122,12.12,224,1.000,bicubic +dla102x2.in1k,79.444,20.556,94.638,5.362,41.28,224,0.875,bilinear +regnetx_016.tv2_in1k,79.436,20.564,94.768,5.232,9.19,224,0.965,bicubic +resnet32ts.ra2_in1k,79.392,20.608,94.652,5.348,17.96,288,1.000,bicubic +repvgg_b2g4.rvgg_in1k,79.382,20.618,94.676,5.324,61.76,224,0.875,bilinear +resmlp_24_224.fb_in1k,79.374,20.626,94.546,5.454,30.02,224,0.875,bicubic +dpn68b.ra_in1k,79.362,20.638,94.438,5.562,12.61,288,1.000,bicubic +resnext50_32x4d.gluon_in1k,79.360,20.640,94.430,5.570,25.03,224,0.875,bicubic +convnextv2_femto.fcmae_ft_in1k,79.338,20.662,94.560,5.440,5.23,288,0.950,bicubic +resnet101.gluon_in1k,79.310,20.690,94.522,5.478,44.55,224,0.875,bicubic +resnext101_32x8d.tv_in1k,79.310,20.690,94.520,5.480,88.79,224,0.875,bilinear +nf_regnet_b1.ra2_in1k,79.306,20.694,94.740,5.260,10.22,288,0.900,bicubic +hrnet_w48.ms_in1k,79.302,20.698,94.516,5.484,77.47,224,0.875,bilinear +tf_efficientnet_cc_b1_8e.in1k,79.302,20.698,94.374,5.626,39.72,240,0.882,bicubic +tf_efficientnet_b1.ap_in1k,79.280,20.720,94.308,5.692,7.79,240,0.882,bicubic +eca_botnext26ts_256.c1_in1k,79.268,20.732,94.606,5.394,10.59,256,0.950,bicubic +resnext50_32x4d.a3_in1k,79.268,20.732,94.306,5.694,25.03,224,0.950,bicubic +botnet26t_256.c1_in1k,79.256,20.744,94.534,5.466,12.49,256,0.950,bicubic +efficientnet_em.ra2_in1k,79.240,20.760,94.794,5.206,6.90,240,0.882,bicubic +resnet50.fb_ssl_yfcc100m_ft_in1k,79.234,20.766,94.826,5.174,25.56,224,0.875,bilinear +regnety_040.pycls_in1k,79.232,20.768,94.656,5.344,20.65,224,0.875,bicubic +regnetx_080.pycls_in1k,79.202,20.798,94.552,5.448,39.57,224,0.875,bicubic +res2net101_26w_4s.in1k,79.202,20.798,94.436,5.564,45.21,224,0.875,bilinear +pit_xs_distilled_224.in1k,79.180,20.820,94.362,5.638,11.00,224,0.900,bicubic +vit_base_patch16_224.augreg_in1k,79.154,20.846,94.090,5.910,86.57,224,0.900,bicubic +fbnetv3_b.ra2_in1k,79.142,20.858,94.742,5.258,8.60,256,0.950,bilinear +halonet26t.a1h_in1k,79.106,20.894,94.306,5.694,12.48,256,0.950,bicubic +coat_lite_mini.in1k,79.102,20.898,94.608,5.392,11.01,224,0.900,bicubic +lambda_resnet26t.c1_in1k,79.088,20.912,94.590,5.410,10.96,256,0.940,bicubic +resnet50d.gluon_in1k,79.078,20.922,94.468,5.532,25.58,224,0.875,bicubic +legacy_seresnext50_32x4d.in1k,79.076,20.924,94.432,5.568,27.56,224,0.875,bilinear +regnetx_064.pycls_in1k,79.066,20.934,94.458,5.542,26.21,224,0.875,bicubic +legacy_xception.tf_in1k,79.040,20.960,94.382,5.618,22.86,299,0.897,bicubic +resnet50.am_in1k,78.998,21.002,94.396,5.604,25.56,224,0.875,bicubic +lambda_resnet26rpt_256.c1_in1k,78.968,21.032,94.438,5.562,10.99,256,0.940,bicubic +mixnet_l.ft_in1k,78.966,21.034,94.180,5.820,7.33,224,0.875,bicubic +res2net50_26w_8s.in1k,78.942,21.058,94.294,5.706,48.40,224,0.875,bilinear +hrnet_w40.ms_in1k,78.930,21.070,94.464,5.536,57.56,224,0.875,bilinear +convnext_femto_ols.d1_in1k,78.924,21.076,94.526,5.474,5.23,288,0.950,bicubic +convnext_tiny.fb_in22k_ft_in1k,78.898,21.102,94.674,5.326,28.59,288,1.000,bicubic +hrnet_w44.ms_in1k,78.892,21.108,94.364,5.636,67.06,224,0.875,bilinear +regnety_032.pycls_in1k,78.876,21.124,94.408,5.592,19.44,224,0.875,bicubic +vit_small_patch16_224.augreg_in1k,78.846,21.154,94.288,5.712,22.05,224,0.900,bicubic +wide_resnet101_2.tv_in1k,78.838,21.162,94.282,5.718,126.89,224,0.875,bilinear +tf_efficientnet_b1.aa_in1k,78.830,21.170,94.198,5.802,7.79,240,0.882,bicubic +seresnext26d_32x4d.bt_in1k,78.814,21.186,94.240,5.760,16.81,288,0.950,bicubic +inception_v3.gluon_in1k,78.806,21.194,94.374,5.626,23.83,299,0.875,bicubic +efficientnet_b1.ft_in1k,78.800,21.200,94.342,5.658,7.79,256,1.000,bicubic +repvgg_b2.rvgg_in1k,78.792,21.208,94.420,5.580,89.02,224,0.875,bilinear +tf_mixnet_l.in1k,78.776,21.224,94.002,5.998,7.33,224,0.875,bicubic +vit_base_patch32_384.augreg_in1k,78.752,21.248,94.224,5.776,88.30,384,1.000,bicubic +seresnext26t_32x4d.bt_in1k,78.744,21.256,94.312,5.688,16.81,288,0.950,bicubic +resnet50d.a3_in1k,78.722,21.278,94.236,5.764,25.58,224,0.950,bicubic +resnet50s.gluon_in1k,78.718,21.282,94.242,5.758,25.68,224,0.875,bicubic +convnext_femto.d1_in1k,78.716,21.284,94.430,5.570,5.22,288,0.950,bicubic +dla169.in1k,78.708,21.292,94.346,5.654,53.39,224,0.875,bilinear +pvt_v2_b1.in1k,78.702,21.298,94.502,5.498,14.01,224,0.900,bicubic +regnety_008_tv.tv2_in1k,78.674,21.326,94.386,5.614,6.43,224,0.965,bicubic +tf_efficientnet_b0.ns_jft_in1k,78.670,21.330,94.374,5.626,5.29,224,0.875,bicubic +legacy_seresnet152.in1k,78.660,21.340,94.370,5.630,66.82,224,0.875,bilinear +xcit_tiny_12_p16_224.fb_dist_in1k,78.574,21.426,94.198,5.802,6.72,224,1.000,bicubic +res2net50_26w_6s.in1k,78.568,21.432,94.122,5.878,37.05,224,0.875,bilinear +tf_efficientnet_b1.in1k,78.560,21.440,94.094,5.906,7.79,240,0.882,bicubic +xception41.tf_in1k,78.504,21.496,94.276,5.724,26.97,299,0.903,bicubic +dla102x.in1k,78.498,21.502,94.236,5.764,26.31,224,0.875,bilinear +levit_conv_128.fb_dist_in1k,78.494,21.506,94.008,5.992,9.21,224,0.900,bicubic +regnetx_040.pycls_in1k,78.492,21.508,94.242,5.758,22.12,224,0.875,bicubic +levit_128.fb_dist_in1k,78.490,21.510,94.012,5.988,9.21,224,0.900,bicubic +resnest26d.gluon_in1k,78.484,21.516,94.294,5.706,17.07,224,0.875,bilinear +wide_resnet50_2.tv_in1k,78.480,21.520,94.086,5.914,68.88,224,0.875,bilinear +dla60_res2net.in1k,78.462,21.538,94.202,5.798,20.85,224,0.875,bilinear +hrnet_w32.ms_in1k,78.444,21.556,94.188,5.812,41.23,224,0.875,bilinear +resnet34d.ra2_in1k,78.436,21.564,94.344,5.656,21.82,288,0.950,bicubic +dla60_res2next.in1k,78.434,21.566,94.144,5.856,17.03,224,0.875,bilinear +coat_tiny.in1k,78.426,21.574,94.048,5.952,5.50,224,0.900,bicubic +vit_tiny_patch16_384.augreg_in21k_ft_in1k,78.424,21.576,94.540,5.460,5.79,384,1.000,bicubic +SelecSls60b.in1k,78.414,21.586,94.170,5.830,32.77,224,0.875,bicubic +gcresnext26ts.ch_in1k,78.414,21.586,94.034,5.966,10.48,288,1.000,bicubic +legacy_seresnet101.in1k,78.386,21.614,94.262,5.738,49.33,224,0.875,bilinear +cait_xxs24_224.fb_dist_in1k,78.384,21.616,94.316,5.684,11.96,224,1.000,bicubic +repvgg_b1.rvgg_in1k,78.368,21.632,94.096,5.904,57.42,224,0.875,bilinear +tf_efficientnetv2_b0.in1k,78.358,21.642,94.014,5.986,7.14,224,0.875,bicubic +resnet26t.ra2_in1k,78.332,21.668,94.124,5.876,16.01,320,1.000,bicubic +resnet152.tv_in1k,78.322,21.678,94.048,5.952,60.19,224,0.875,bilinear +mobilevit_s.cvnets_in1k,78.312,21.688,94.144,5.856,5.58,256,0.900,bicubic +seresnext26ts.ch_in1k,78.272,21.728,94.094,5.906,10.39,288,1.000,bicubic +bat_resnext26ts.ch_in1k,78.252,21.748,94.098,5.902,10.73,256,0.900,bicubic +res2next50.in1k,78.242,21.758,93.892,6.108,24.67,224,0.875,bilinear +efficientnet_b1_pruned.in1k,78.242,21.758,93.836,6.164,6.33,240,0.882,bicubic +dla60x.in1k,78.240,21.760,94.034,5.966,17.35,224,0.875,bilinear +hrnet_w30.ms_in1k,78.192,21.808,94.222,5.778,37.71,224,0.875,bilinear +pit_xs_224.in1k,78.180,21.820,94.164,5.836,10.62,224,0.900,bicubic +regnetx_032.pycls_in1k,78.168,21.832,94.082,5.918,15.30,224,0.875,bicubic +visformer_tiny.in1k,78.162,21.838,94.164,5.836,10.32,224,0.900,bicubic +res2net50_14w_8s.in1k,78.158,21.842,93.846,6.154,25.06,224,0.875,bilinear +hrnet_w18.ms_aug_in1k,78.126,21.874,94.052,5.948,21.30,224,0.950,bilinear +tf_efficientnet_em.in1k,78.122,21.878,94.046,5.954,6.90,240,0.882,bicubic +hardcorenas_f.miil_green_in1k,78.098,21.902,93.806,6.194,8.20,224,0.875,bilinear +mobilevitv2_100.cvnets_in1k,78.076,21.924,94.170,5.830,4.90,256,0.888,bicubic +efficientnet_es.ra_in1k,78.054,21.946,93.924,6.076,5.44,224,0.875,bicubic +resnet50.a3_in1k,78.048,21.952,93.780,6.220,25.56,224,0.950,bicubic +gmixer_24_224.ra3_in1k,78.026,21.974,93.668,6.332,24.72,224,0.875,bicubic +dla102.in1k,78.022,21.978,93.932,6.068,33.27,224,0.875,bilinear +resnet50c.gluon_in1k,78.012,21.988,93.988,6.012,25.58,224,0.875,bicubic +poolformerv2_s12.sail_in1k,78.004,21.996,93.864,6.136,11.89,224,1.000,bicubic +eca_resnext26ts.ch_in1k,78.000,22.000,93.926,6.074,10.30,288,1.000,bicubic +SelecSls60.in1k,77.984,22.016,93.832,6.168,30.67,224,0.875,bicubic +resmlp_12_224.fb_distilled_in1k,77.954,22.046,93.560,6.440,15.35,224,0.875,bicubic +res2net50_26w_4s.in1k,77.950,22.050,93.852,6.148,25.70,224,0.875,bilinear +resnet34.a1_in1k,77.918,22.082,93.766,6.234,21.80,288,1.000,bicubic +mobilenetv3_large_100.miil_in21k_ft_in1k,77.918,22.082,92.914,7.086,5.48,224,0.875,bilinear +tf_efficientnet_cc_b0_8e.in1k,77.906,22.094,93.660,6.340,24.01,224,0.875,bicubic +rexnet_100.nav_in1k,77.862,22.138,93.866,6.134,4.80,224,0.875,bicubic +regnety_016.pycls_in1k,77.862,22.138,93.718,6.282,11.20,224,0.875,bicubic +inception_v3.tf_in1k,77.862,22.138,93.644,6.356,23.83,299,0.875,bicubic +xcit_nano_12_p8_384.fb_dist_in1k,77.820,22.180,94.040,5.960,3.05,384,1.000,bicubic +hardcorenas_e.miil_green_in1k,77.784,22.216,93.698,6.302,8.07,224,0.875,bilinear +convnextv2_atto.fcmae_ft_in1k,77.760,22.240,93.726,6.274,3.71,288,0.950,bicubic +ese_vovnet19b_dw.ra_in1k,77.744,22.256,93.788,6.212,6.54,288,0.950,bicubic +efficientnet_b0.ra_in1k,77.694,22.306,93.532,6.468,5.29,224,0.875,bicubic +tinynet_a.in1k,77.658,22.342,93.540,6.460,6.19,192,0.875,bicubic +legacy_seresnet50.in1k,77.644,22.356,93.758,6.242,28.09,224,0.875,bilinear +cs3darknet_m.c2ns_in1k,77.634,22.366,94.016,5.984,9.31,288,0.950,bicubic +resnext50_32x4d.tv_in1k,77.618,22.382,93.696,6.304,25.03,224,0.875,bilinear +inception_v3.tf_adv_in1k,77.592,22.408,93.730,6.270,23.83,299,0.875,bicubic +repvgg_b1g4.rvgg_in1k,77.582,22.418,93.836,6.164,39.97,224,0.875,bilinear +resnet50.gluon_in1k,77.580,22.420,93.718,6.282,25.56,224,0.875,bicubic +coat_lite_tiny.in1k,77.520,22.480,93.922,6.078,5.72,224,0.900,bicubic +dpn68b.mx_in1k,77.518,22.482,93.852,6.148,12.61,224,0.875,bicubic +res2net50_48w_2s.in1k,77.514,22.486,93.552,6.448,25.29,224,0.875,bilinear +tf_efficientnet_lite2.in1k,77.464,22.536,93.750,6.250,6.09,260,0.890,bicubic +hardcorenas_d.miil_green_in1k,77.440,22.560,93.490,6.510,7.50,224,0.875,bilinear +inception_v3.tv_in1k,77.434,22.566,93.474,6.526,23.83,299,0.875,bicubic +resnet26d.bt_in1k,77.408,22.592,93.638,6.362,16.01,288,0.950,bicubic +resnet101.tv_in1k,77.376,22.624,93.542,6.458,44.55,224,0.875,bilinear +densenet161.tv_in1k,77.358,22.642,93.642,6.358,28.68,224,0.875,bicubic +densenetblur121d.ra_in1k,77.320,22.680,93.790,6.210,8.00,288,0.950,bicubic +regnetx_008.tv2_in1k,77.304,22.696,93.666,6.334,7.26,224,0.965,bicubic +mobilenetv2_120d.ra_in1k,77.302,22.698,93.504,6.496,5.83,224,0.875,bicubic +tf_efficientnet_cc_b0_4e.in1k,77.302,22.698,93.336,6.664,13.31,224,0.875,bicubic +densenet201.tv_in1k,77.286,22.714,93.480,6.520,20.01,224,0.875,bicubic +cs3darknet_focus_m.c2ns_in1k,77.284,22.716,93.966,6.034,9.30,288,0.950,bicubic +mixnet_m.ft_in1k,77.258,22.742,93.418,6.582,5.01,224,0.875,bicubic +poolformer_s12.sail_in1k,77.234,22.766,93.532,6.468,11.92,224,0.900,bicubic +convnext_atto_ols.a2_in1k,77.216,22.784,93.676,6.324,3.70,288,0.950,bicubic +resnext26ts.ra2_in1k,77.174,22.826,93.464,6.536,10.30,288,1.000,bicubic +SelecSls42b.in1k,77.170,22.830,93.392,6.608,32.46,224,0.875,bicubic +resnet34.a2_in1k,77.158,22.842,93.274,6.726,21.80,288,1.000,bicubic +xcit_tiny_12_p16_224.fb_in1k,77.140,22.860,93.716,6.284,6.72,224,1.000,bicubic +legacy_seresnext26_32x4d.in1k,77.108,22.892,93.314,6.686,16.79,224,0.875,bicubic +tf_efficientnet_b0.ap_in1k,77.090,22.910,93.262,6.738,5.29,224,0.875,bicubic +hardcorenas_c.miil_green_in1k,77.058,22.942,93.168,6.832,5.52,224,0.875,bilinear +dla60.in1k,77.046,22.954,93.318,6.682,22.04,224,0.875,bilinear +seresnet50.a3_in1k,77.028,22.972,93.074,6.926,28.09,224,0.950,bicubic +convnext_atto.d2_in1k,77.008,22.992,93.702,6.298,3.70,288,0.950,bicubic +crossvit_9_dagger_240.in1k,76.980,23.020,93.620,6.380,8.78,240,0.875,bicubic +tf_mixnet_m.in1k,76.954,23.046,93.154,6.846,5.01,224,0.875,bicubic +convmixer_1024_20_ks9_p14.in1k,76.936,23.064,93.350,6.650,24.38,224,0.960,bicubic +regnetx_016.pycls_in1k,76.924,23.076,93.416,6.584,9.19,224,0.875,bicubic +skresnet34.ra_in1k,76.910,23.090,93.316,6.684,22.28,224,0.875,bicubic +gernet_s.idstcv_in1k,76.910,23.090,93.144,6.856,8.17,224,0.875,bilinear +tf_efficientnet_b0.aa_in1k,76.834,23.166,93.220,6.780,5.29,224,0.875,bicubic +hrnet_w18.ms_in1k,76.752,23.248,93.444,6.556,21.30,224,0.875,bilinear +resmlp_12_224.fb_in1k,76.648,23.352,93.178,6.822,15.35,224,0.875,bicubic +tf_efficientnet_lite1.in1k,76.644,23.356,93.230,6.770,5.42,240,0.882,bicubic +mixer_b16_224.goog_in21k_ft_in1k,76.602,23.398,92.224,7.776,59.88,224,0.875,bicubic +tf_efficientnet_es.in1k,76.600,23.400,93.202,6.798,5.44,224,0.875,bicubic +hardcorenas_b.miil_green_in1k,76.536,23.464,92.760,7.240,5.18,224,0.875,bilinear +tf_efficientnet_b0.in1k,76.532,23.468,93.008,6.992,5.29,224,0.875,bicubic +levit_128s.fb_dist_in1k,76.526,23.474,92.872,7.128,7.78,224,0.900,bicubic +mobilenetv2_140.ra_in1k,76.520,23.480,92.986,7.014,6.11,224,0.875,bicubic +levit_conv_128s.fb_dist_in1k,76.520,23.480,92.866,7.134,7.78,224,0.900,bicubic +densenet121.ra_in1k,76.500,23.500,93.368,6.632,7.98,288,0.950,bicubic +resnet34.bt_in1k,76.480,23.520,93.354,6.646,21.80,288,0.950,bicubic +repvgg_a2.rvgg_in1k,76.458,23.542,93.002,6.998,28.21,224,0.875,bilinear +resnet26.bt_in1k,76.366,23.634,93.180,6.820,16.00,288,0.950,bicubic +dpn68.mx_in1k,76.346,23.654,93.008,6.992,12.61,224,0.875,bicubic +xcit_nano_12_p8_224.fb_dist_in1k,76.332,23.668,93.094,6.906,3.05,224,1.000,bicubic +regnety_008.pycls_in1k,76.302,23.698,93.060,6.940,6.26,224,0.875,bicubic +resnet50.tv_in1k,76.130,23.870,92.858,7.142,25.56,224,0.875,bilinear +efficientformerv2_s0.snap_dist_in1k,76.118,23.882,92.860,7.140,3.60,224,0.950,bicubic +vit_small_patch32_224.augreg_in21k_ft_in1k,75.994,24.006,93.270,6.730,22.88,224,0.900,bicubic +mixnet_s.ft_in1k,75.994,24.006,92.798,7.202,4.13,224,0.875,bicubic +vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k,75.962,24.038,93.264,6.736,6.36,384,1.000,bicubic +hardcorenas_a.miil_green_in1k,75.930,24.070,92.510,7.490,5.26,224,0.875,bilinear +densenet169.tv_in1k,75.900,24.100,93.028,6.972,14.15,224,0.875,bicubic +mobilenetv3_large_100.ra_in1k,75.766,24.234,92.538,7.462,5.48,224,0.875,bicubic +edgenext_x_small.in1k,75.688,24.312,92.766,7.234,2.34,288,1.000,bicubic +tf_mixnet_s.in1k,75.652,24.348,92.636,7.364,4.13,224,0.875,bicubic +mobilenetv3_rw.rmsp_in1k,75.620,24.380,92.704,7.296,5.48,224,0.875,bicubic +mobilevitv2_075.cvnets_in1k,75.608,24.392,92.744,7.256,2.87,256,0.888,bicubic +regnety_004.tv2_in1k,75.598,24.402,92.696,7.304,4.34,224,0.965,bicubic +tf_mobilenetv3_large_100.in1k,75.516,24.484,92.594,7.406,5.48,224,0.875,bilinear +resnest14d.gluon_in1k,75.510,24.490,92.504,7.496,10.61,224,0.875,bilinear +efficientnet_lite0.ra_in1k,75.480,24.520,92.522,7.478,4.65,224,0.875,bicubic +xcit_nano_12_p16_384.fb_dist_in1k,75.458,24.542,92.696,7.304,3.05,384,1.000,bicubic +vit_tiny_patch16_224.augreg_in21k_ft_in1k,75.454,24.546,92.844,7.156,5.72,224,0.900,bicubic +semnasnet_100.rmsp_in1k,75.450,24.550,92.594,7.406,3.89,224,0.875,bicubic +regnety_006.pycls_in1k,75.270,24.730,92.526,7.474,6.06,224,0.875,bicubic +repvgg_b0.rvgg_in1k,75.142,24.858,92.416,7.584,15.82,224,0.875,bilinear +fbnetc_100.rmsp_in1k,75.130,24.870,92.388,7.612,5.57,224,0.875,bilinear +hrnet_w18_small_v2.ms_in1k,75.114,24.886,92.414,7.586,15.60,224,0.875,bilinear +mobilenetv2_110d.ra_in1k,75.056,24.944,92.186,7.814,4.52,224,0.875,bicubic +regnetx_008.pycls_in1k,75.030,24.970,92.338,7.662,7.26,224,0.875,bicubic +efficientnet_es_pruned.in1k,75.014,24.986,92.446,7.554,5.44,224,0.875,bicubic +tinynet_b.in1k,74.978,25.022,92.186,7.814,3.73,188,0.875,bicubic +vit_base_patch32_224.augreg_in1k,74.894,25.106,91.778,8.222,88.22,224,0.900,bicubic +tf_efficientnet_lite0.in1k,74.830,25.170,92.172,7.828,4.65,224,0.875,bicubic +legacy_seresnet34.in1k,74.808,25.192,92.126,7.874,21.96,224,0.875,bilinear +densenet121.tv_in1k,74.764,25.236,92.154,7.846,7.98,224,0.875,bicubic +mnasnet_100.rmsp_in1k,74.650,25.350,92.124,7.876,4.38,224,0.875,bicubic +dla34.in1k,74.638,25.362,92.064,7.936,15.74,224,0.875,bilinear +mobilevit_xs.cvnets_in1k,74.636,25.364,92.346,7.654,2.32,256,0.900,bicubic +regnetx_004_tv.tv2_in1k,74.596,25.404,92.178,7.822,5.50,224,0.965,bicubic +resnet34.gluon_in1k,74.578,25.422,91.984,8.016,21.80,224,0.875,bicubic +deit_tiny_distilled_patch16_224.fb_in1k,74.500,25.500,91.892,8.108,5.91,224,0.900,bicubic +pit_ti_distilled_224.in1k,74.254,25.746,91.954,8.046,5.10,224,0.900,bicubic +vgg19_bn.tv_in1k,74.216,25.784,91.844,8.156,143.68,224,0.875,bilinear +spnasnet_100.rmsp_in1k,74.086,25.914,91.820,8.180,4.42,224,0.875,bilinear +regnety_004.pycls_in1k,74.028,25.972,91.750,8.250,4.34,224,0.875,bicubic +ghostnet_100.in1k,73.982,26.018,91.466,8.534,5.18,224,0.875,bilinear +crossvit_9_240.in1k,73.958,26.042,91.968,8.032,8.55,240,0.875,bicubic +xcit_nano_12_p8_224.fb_in1k,73.916,26.084,92.170,7.830,3.05,224,1.000,bicubic +regnetx_006.pycls_in1k,73.868,26.132,91.678,8.322,6.20,224,0.875,bicubic +resnet18d.ra2_in1k,73.794,26.206,91.838,8.162,11.71,288,0.950,bicubic +vit_base_patch32_224.sam_in1k,73.694,26.306,91.014,8.986,88.22,224,0.900,bicubic +tf_mobilenetv3_large_075.in1k,73.432,26.568,91.352,8.648,3.99,224,0.875,bilinear +vgg16_bn.tv_in1k,73.370,26.630,91.514,8.486,138.37,224,0.875,bilinear +crossvit_tiny_240.in1k,73.336,26.664,91.908,8.092,7.01,240,0.875,bicubic +resnet18.fb_swsl_ig1b_ft_in1k,73.282,26.718,91.732,8.268,11.69,224,0.875,bilinear +resnet18.a1_in1k,73.158,26.842,91.026,8.974,11.69,288,1.000,bicubic +convit_tiny.fb_in1k,73.112,26.888,91.712,8.288,5.71,224,0.875,bicubic +skresnet18.ra_in1k,73.038,26.962,91.172,8.828,11.96,224,0.875,bicubic +semnasnet_075.rmsp_in1k,72.992,27.008,91.138,8.862,2.91,224,0.875,bicubic +mobilenetv2_100.ra_in1k,72.976,27.024,91.010,8.990,3.50,224,0.875,bicubic +resnet34.a3_in1k,72.970,27.030,91.108,8.892,21.80,224,0.950,bicubic +pit_ti_224.in1k,72.910,27.090,91.400,8.600,4.85,224,0.900,bicubic +resnet18.fb_ssl_yfcc100m_ft_in1k,72.594,27.406,91.418,8.582,11.69,224,0.875,bilinear +regnetx_004.pycls_in1k,72.398,27.602,90.828,9.172,5.16,224,0.875,bicubic +vgg19.tv_in1k,72.378,27.622,90.874,9.126,143.67,224,0.875,bilinear +resnet18.a2_in1k,72.372,27.628,90.596,9.404,11.69,288,1.000,bicubic +hrnet_w18_small.ms_in1k,72.338,27.662,90.678,9.322,13.19,224,0.875,bilinear +xcit_nano_12_p16_224.fb_dist_in1k,72.310,27.690,90.860,9.140,3.05,224,1.000,bicubic +tf_mobilenetv3_large_minimal_100.in1k,72.258,27.742,90.638,9.362,3.92,224,0.875,bilinear +resnet14t.c3_in1k,72.254,27.746,90.302,9.698,10.08,224,0.950,bicubic +deit_tiny_patch16_224.fb_in1k,72.172,27.828,91.112,8.888,5.72,224,0.900,bicubic +lcnet_100.ra2_in1k,72.096,27.904,90.362,9.638,2.95,224,0.875,bicubic +mixer_l16_224.goog_in21k_ft_in1k,72.054,27.946,87.674,12.326,208.20,224,0.875,bicubic +edgenext_xx_small.in1k,71.878,28.122,90.552,9.448,1.33,288,1.000,bicubic +vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k,71.798,28.202,90.824,9.176,6.34,224,0.900,bicubic +legacy_seresnet18.in1k,71.766,28.234,90.332,9.668,11.78,224,0.875,bicubic +vgg16.tv_in1k,71.592,28.408,90.384,9.616,138.36,224,0.875,bilinear +vgg13_bn.tv_in1k,71.588,28.412,90.378,9.622,133.05,224,0.875,bilinear +tinynet_c.in1k,71.240,28.760,89.734,10.266,2.46,184,0.875,bicubic +resnet18.gluon_in1k,70.838,29.162,89.754,10.246,11.69,224,0.875,bicubic +pvt_v2_b0.in1k,70.660,29.340,90.196,9.804,3.67,224,0.900,bicubic +vgg11_bn.tv_in1k,70.382,29.618,89.808,10.192,132.87,224,0.875,bilinear +regnety_002.pycls_in1k,70.278,29.722,89.528,10.472,3.16,224,0.875,bicubic +mobilevitv2_050.cvnets_in1k,70.138,29.862,89.920,10.080,1.37,256,0.888,bicubic +xcit_nano_12_p16_224.fb_in1k,69.962,30.038,89.762,10.238,3.05,224,1.000,bicubic +vgg13.tv_in1k,69.932,30.068,89.250,10.750,133.05,224,0.875,bilinear +resnet18.tv_in1k,69.760,30.240,89.070,10.930,11.69,224,0.875,bilinear +vgg11.tv_in1k,69.022,30.978,88.624,11.376,132.86,224,0.875,bilinear +mobilevit_xxs.cvnets_in1k,68.932,31.068,88.942,11.058,1.27,256,0.900,bicubic +lcnet_075.ra2_in1k,68.782,31.218,88.360,11.640,2.36,224,0.875,bicubic +regnetx_002.pycls_in1k,68.746,31.254,88.536,11.464,2.68,224,0.875,bicubic +resnet10t.c3_in1k,68.358,31.642,88.040,11.960,5.44,224,0.950,bicubic +resnet18.a3_in1k,68.254,31.746,88.176,11.824,11.69,224,0.950,bicubic +tf_mobilenetv3_small_100.in1k,67.918,32.082,87.674,12.326,2.54,224,0.875,bilinear +dla60x_c.in1k,67.898,32.102,88.422,11.578,1.32,224,0.875,bilinear +mobilenetv3_small_100.lamb_in1k,67.656,32.344,87.636,12.364,2.54,224,0.875,bicubic +tinynet_d.in1k,66.974,33.026,87.062,12.938,2.34,152,0.875,bicubic +mnasnet_small.lamb_in1k,66.196,33.804,86.504,13.496,2.03,224,0.875,bicubic +dla46x_c.in1k,65.988,34.012,86.980,13.020,1.07,224,0.875,bilinear +mobilenetv2_050.lamb_in1k,65.950,34.050,86.088,13.912,1.97,224,0.875,bicubic +tf_mobilenetv3_small_075.in1k,65.728,34.272,86.126,13.874,2.04,224,0.875,bilinear +mobilenetv3_small_075.lamb_in1k,65.234,34.766,85.446,14.554,2.04,224,0.875,bicubic +dla46_c.in1k,64.872,35.128,86.298,13.702,1.30,224,0.875,bilinear +lcnet_050.ra2_in1k,63.120,36.880,84.386,15.614,1.88,224,0.875,bicubic +tf_mobilenetv3_small_minimal_100.in1k,62.890,37.110,84.240,15.760,2.04,224,0.875,bilinear +tinynet_e.in1k,59.866,40.134,81.764,18.236,2.04,106,0.875,bicubic +mobilenetv3_small_050.lamb_in1k,57.910,42.090,80.180,19.820,1.59,224,0.875,bicubic diff --git a/results/results-imagenetv2-matched-frequency.csv b/results/results-imagenetv2-matched-frequency.csv index 71aa3f5a38..19bef0cab2 100644 --- a/results/results-imagenetv2-matched-frequency.csv +++ b/results/results-imagenetv2-matched-frequency.csv @@ -1,791 +1,1004 @@ model,top1,top1_err,top5,top5_err,param_count,img_size,crop_pct,interpolation,top1_diff,top5_diff,rank_diff -eva_giant_patch14_336.clip_ft_in1k,82.190,17.810,96.280,3.720,"1,013.01",336,1.000,bicubic,-7.286,-2.544,+2 -eva_giant_patch14_560.m30m_ft_in22k_in1k,82.050,17.950,96.440,3.560,"1,014.45",560,1.000,bicubic,-7.746,-2.552,-1 -eva_giant_patch14_336.m30m_ft_in22k_in1k,81.840,18.160,96.290,3.710,"1,013.01",336,1.000,bicubic,-7.728,-2.662,-1 -eva_giant_patch14_224.clip_ft_in1k,81.590,18.410,96.140,3.860,"1,012.56",224,1.000,bicubic,-7.510,-2.576,+1 -eva_large_patch14_336.in22k_ft_in1k,81.180,18.820,95.880,4.120,304.53,336,1.000,bicubic,-7.484,-2.840,+1 -eva_large_patch14_336.in22k_ft_in22k_in1k,80.940,19.060,96.010,3.990,304.53,336,1.000,bicubic,-8.264,-2.840,-2 -vit_large_patch14_clip_336.openai_ft_in12k_in1k,80.530,19.470,95.500,4.500,304.53,336,1.000,bicubic,-7.736,-3.032,+8 -tf_efficientnet_l2.ns_jft_in1k_475,80.460,19.540,95.730,4.270,480.31,475,0.936,bicubic,-7.774,-2.816,+9 -beitv2_large_patch16_224.in1k_ft_in22k_in1k,80.260,19.740,95.160,4.840,304.43,224,0.950,bicubic,-8.126,-3.438,+3 -tf_efficientnet_l2.ns_jft_in1k,80.250,19.750,95.840,4.160,480.31,800,0.960,bicubic,-8.102,-2.810,+3 -eva_large_patch14_196.in22k_ft_in1k,80.170,19.830,95.450,4.550,304.14,196,1.000,bicubic,-7.768,-3.042,+12 -maxvit_base_tf_512.in21k_ft_in1k,80.160,19.840,95.490,4.510,119.88,512,1.000,bicubic,-8.052,-3.042,+6 -eva_large_patch14_196.in22k_ft_in22k_in1k,80.160,19.840,95.390,4.610,304.14,196,1.000,bicubic,-8.426,-3.266,-4 -maxvit_xlarge_tf_512.in21k_ft_in1k,80.100,19.900,95.490,4.510,475.77,512,1.000,bicubic,-8.438,-3.154,-4 -maxvit_large_tf_512.in21k_ft_in1k,79.990,20.010,95.150,4.850,212.33,512,1.000,bicubic,-8.228,-3.448,+3 -beit_large_patch16_512.in22k_ft_in22k_in1k,79.940,20.060,95.350,4.650,305.67,512,1.000,bicubic,-8.658,-3.306,-9 -maxvit_xlarge_tf_384.in21k_ft_in1k,79.690,20.310,95.160,4.840,475.32,384,1.000,bicubic,-8.616,-3.384,-3 -maxvit_large_tf_384.in21k_ft_in1k,79.600,20.400,95.080,4.920,212.03,384,1.000,bicubic,-8.392,-3.486,+4 -vit_large_patch14_clip_224.openai_ft_in1k,79.590,20.410,94.990,5.010,304.20,224,1.000,bicubic,-8.262,-3.438,+7 -vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,79.530,20.470,94.990,5.010,632.46,336,1.000,bicubic,-9.044,-3.670,-11 -beit_large_patch16_384.in22k_ft_in22k_in1k,79.500,20.500,95.180,4.820,305.00,384,1.000,bicubic,-8.904,-3.428,-10 -vit_large_patch14_clip_224.openai_ft_in12k_in1k,79.390,20.610,95.070,4.930,304.20,224,1.000,bicubic,-8.778,-3.474,-1 -vit_huge_patch14_clip_224.laion2b_ft_in1k,79.370,20.630,94.920,5.080,632.05,224,1.000,bicubic,-8.224,-3.300,+7 -maxvit_base_tf_384.in21k_ft_in1k,79.340,20.660,95.080,4.920,119.65,384,1.000,bicubic,-8.582,-3.462,0 -vit_large_patch14_clip_336.laion2b_ft_in1k,79.230,20.770,94.980,5.020,304.53,336,1.000,bicubic,-8.618,-3.390,+2 -vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k,79.220,20.780,95.090,4.910,632.05,224,1.000,bicubic,-9.026,-3.460,-10 -deit3_huge_patch14_224_in21ft1k,79.160,20.840,94.860,5.140,632.13,224,1.000,bicubic,-8.024,-3.400,+10 -deit3_large_patch16_384_in21ft1k,79.090,20.910,94.880,5.120,304.76,384,1.000,bicubic,-8.626,-3.632,+1 -vit_large_patch14_clip_336.laion2b_ft_in12k_in1k,78.990,21.010,94.910,5.090,304.53,336,1.000,bicubic,-9.192,-3.662,-9 -beit_large_patch16_224.in22k_ft_in22k_in1k,78.820,21.180,94.600,5.400,304.43,224,0.900,bicubic,-8.656,-3.704,+1 -deit3_large_patch16_224_in21ft1k,78.630,21.370,94.720,5.280,304.37,224,1.000,bicubic,-8.348,-3.518,+13 -vit_large_patch14_clip_224.laion2b_ft_in12k_in1k,78.510,21.490,94.640,5.360,304.20,224,1.000,bicubic,-9.380,-3.770,-8 -tf_efficientnet_b7.ns_jft_in1k,78.510,21.490,94.380,5.620,66.35,600,0.949,bicubic,-8.330,-3.714,+15 -vit_large_patch14_clip_224.laion2b_ft_in1k,78.410,21.590,94.570,5.430,304.20,224,1.000,bicubic,-8.882,-3.676,+1 -volo_d5_512,77.970,22.030,94.170,5.830,296.09,512,1.150,bicubic,-9.074,-3.798,+6 -convnext_xlarge.fb_in22k_ft_in1k_384,77.960,22.040,94.460,5.540,350.20,384,1.000,bicubic,-9.788,-4.094,-8 -vit_large_patch16_384.augreg_in21k_ft_in1k,77.940,22.060,94.450,5.550,304.72,384,1.000,bicubic,-9.140,-3.850,+3 -deit3_base_patch16_384_in21ft1k,77.890,22.110,94.030,5.970,86.88,384,1.000,bicubic,-8.854,-4.082,+15 -vit_base_patch16_clip_384.laion2b_ft_in12k_in1k,77.790,22.210,94.170,5.830,86.86,384,1.000,bicubic,-9.428,-3.864,-3 -volo_d5_448,77.770,22.230,94.050,5.950,295.91,448,1.150,bicubic,-9.184,-3.888,+5 -volo_d4_448,77.750,22.250,93.930,6.070,193.41,448,1.150,bicubic,-9.040,-3.952,+10 -tf_efficientnetv2_xl.in21k_ft_in1k,77.640,22.360,93.970,6.030,208.12,512,1.000,bicubic,-9.108,-4.048,+10 -tf_efficientnetv2_l.in21k_ft_in1k,77.580,22.420,94.280,5.720,118.52,480,1.000,bicubic,-9.226,-3.854,+5 -maxvit_base_tf_512.in1k,77.460,22.540,93.960,6.040,119.88,512,1.000,bicubic,-9.138,-3.960,+11 -convnext_large.fb_in22k_ft_in1k_384,77.420,22.580,94.200,5.800,197.77,384,1.000,bicubic,-10.052,-4.186,-13 -vit_base_patch16_clip_384.laion2b_ft_in1k,77.340,22.660,93.860,6.140,86.86,384,1.000,bicubic,-9.280,-4.150,+8 -swinv2_large_window12to24_192to384_22kft1k,77.310,22.690,93.930,6.070,196.74,384,1.000,bicubic,-10.148,-4.322,-14 -tf_efficientnet_b6.ns_jft_in1k,77.280,22.720,93.890,6.110,43.04,528,0.942,bicubic,-9.172,-3.992,+11 -maxvit_large_tf_512.in1k,77.280,22.720,93.780,6.220,212.33,512,1.000,bicubic,-9.238,-4.104,+8 -swinv2_base_window12to24_192to384_22kft1k,77.180,22.820,94.260,5.740,87.92,384,1.000,bicubic,-9.928,-3.976,-11 -maxvit_large_tf_384.in1k,77.120,22.880,93.460,6.540,212.03,384,1.000,bicubic,-9.116,-4.230,+15 -beitv2_base_patch16_224.in1k_ft_in22k_in1k,77.090,22.910,94.020,5.980,86.53,224,0.900,bicubic,-9.390,-4.028,+7 -volo_d3_448,77.070,22.930,94.110,5.890,86.63,448,1.000,bicubic,-9.424,-3.600,+4 -vit_large_r50_s32_384.augreg_in21k_ft_in1k,77.060,22.940,93.720,6.280,329.09,384,1.000,bicubic,-9.124,-4.198,+15 -swin_large_patch4_window12_384,77.040,22.960,93.750,6.250,196.74,384,1.000,bicubic,-10.108,-4.484,-17 -vit_base_patch16_clip_384.openai_ft_in1k,76.960,23.040,93.750,6.250,86.86,384,1.000,bicubic,-9.246,-4.124,+12 -swinv2_large_window12to16_192to256_22kft1k,76.930,23.070,93.530,6.470,196.74,256,0.900,bicubic,-10.006,-4.578,-11 -beit_base_patch16_384.in22k_ft_in22k_in1k,76.890,23.110,93.910,6.090,86.74,384,1.000,bicubic,-9.910,-4.228,-9 -tf_efficientnetv2_m.in21k_ft_in1k,76.890,23.110,93.650,6.350,54.14,480,1.000,bicubic,-9.114,-4.292,+19 -cait_m48_448,76.870,23.130,93.370,6.630,356.46,448,1.000,bicubic,-9.614,-4.384,-2 -ig_resnext101_32x48d,76.870,23.130,93.310,6.690,828.41,224,0.875,bilinear,-8.558,-4.262,+42 -vit_base_patch16_clip_384.openai_ft_in12k_in1k,76.850,23.150,93.790,6.210,86.86,384,0.950,bicubic,-10.184,-4.390,-20 -ig_resnext101_32x32d,76.840,23.160,93.200,6.800,468.53,224,0.875,bilinear,-8.254,-4.238,+64 -tf_efficientnet_b5.ns_jft_in1k,76.810,23.190,93.580,6.420,30.39,456,0.934,bicubic,-9.278,-4.172,+9 -maxvit_base_tf_384.in1k,76.770,23.230,93.420,6.580,119.65,384,1.000,bicubic,-9.524,-4.384,-2 -convnext_large.fb_in22k_ft_in1k,76.730,23.270,93.710,6.290,197.77,288,1.000,bicubic,-10.286,-4.496,-23 -deit3_large_patch16_384,76.690,23.310,93.350,6.650,304.76,384,1.000,bicubic,-9.120,-4.246,+19 -convnext_base.fb_in22k_ft_in1k_384,76.640,23.360,93.700,6.300,88.59,384,1.000,bicubic,-10.154,-4.564,-18 -xcit_large_24_p8_384_dist,76.630,23.370,93.090,6.910,188.93,384,1.000,bicubic,-9.370,-4.596,+10 -convnext_xlarge.fb_in22k_ft_in1k,76.620,23.380,93.850,6.150,350.20,288,1.000,bicubic,-10.718,-4.478,-36 -volo_d5_224,76.580,23.420,93.300,6.700,295.46,224,0.960,bicubic,-9.488,-4.278,+3 -vit_base_patch8_224.augreg2_in21k_ft_in1k,76.570,23.430,93.330,6.670,86.58,224,0.900,bicubic,-9.642,-4.502,-5 -deit3_base_patch16_224_in21ft1k,76.550,23.450,93.560,6.440,86.59,224,1.000,bicubic,-9.164,-4.184,+18 -vit_base_patch16_384.augreg_in21k_ft_in1k,76.500,23.500,93.750,6.250,86.86,384,1.000,bicubic,-9.506,-4.250,+3 -maxvit_small_tf_512.in1k,76.490,23.510,93.390,6.610,69.13,512,1.000,bicubic,-9.598,-4.368,-3 -swinv2_base_window12to16_192to256_22kft1k,76.450,23.550,93.670,6.330,87.92,256,0.900,bicubic,-9.824,-4.226,-11 -cait_m36_384,76.320,23.680,93.050,6.950,271.22,384,1.000,bicubic,-9.734,-4.680,-2 -vit_large_patch16_224.augreg_in21k_ft_in1k,76.290,23.710,93.600,6.400,304.33,224,0.900,bicubic,-9.552,-4.224,+5 -swin_base_patch4_window12_384,76.280,23.720,93.320,6.680,87.90,384,1.000,bicubic,-10.152,-4.738,-18 -swin_large_patch4_window7_224,76.270,23.730,93.420,6.580,196.53,224,0.900,bicubic,-10.050,-4.476,-18 -cait_s36_384,76.210,23.790,92.970,7.030,68.37,384,1.000,bicubic,-9.250,-4.510,+21 -xcit_medium_24_p8_384_dist,76.140,23.860,92.980,7.020,84.32,384,1.000,bicubic,-9.676,-4.612,+2 -dm_nfnet_f6,76.130,23.870,93.110,6.890,438.36,576,0.956,bicubic,-10.014,-4.620,-12 -flexivit_large.1200ep_in1k,76.100,23.900,93.010,6.990,304.36,240,0.950,bicubic,-9.544,-4.532,+11 -tf_efficientnet_b7.ap_in1k,76.090,23.910,92.970,7.030,66.35,600,0.949,bicubic,-9.030,-4.282,+38 -tf_efficientnet_b8.ap_in1k,76.090,23.910,92.730,7.270,87.41,672,0.954,bicubic,-9.280,-4.660,+24 -volo_d2_384,76.080,23.920,93.130,6.870,58.87,384,1.000,bicubic,-9.956,-4.442,-11 -maxvit_small_tf_384.in1k,76.070,23.930,92.620,7.380,69.02,384,1.000,bicubic,-9.464,-4.844,+11 -maxvit_tiny_tf_512.in1k,76.050,23.950,93.160,6.840,31.05,512,1.000,bicubic,-9.612,-4.420,+5 -flexivit_large.600ep_in1k,76.040,23.960,92.960,7.040,304.36,240,0.950,bicubic,-9.498,-4.532,+7 -vit_base_patch8_224.augreg_in21k_ft_in1k,76.010,23.990,93.380,6.620,86.58,224,0.900,bicubic,-9.786,-4.410,-4 -tf_efficientnetv2_l.in1k,76.000,24.000,93.080,6.920,118.52,480,1.000,bicubic,-9.670,-4.394,+1 -volo_d4_224,76.000,24.000,93.000,7.000,192.96,224,0.960,bicubic,-9.872,-4.468,-11 -xcit_large_24_p8_224_dist,75.990,24.010,92.730,7.270,188.93,224,1.000,bicubic,-9.406,-4.680,+13 -flexivit_large.300ep_in1k,75.930,24.070,92.650,7.350,304.36,240,0.950,bicubic,-9.350,-4.790,+17 -convnext_base.fb_in22k_ft_in1k,75.910,24.090,93.580,6.420,88.59,288,1.000,bicubic,-10.370,-4.510,-32 -dm_nfnet_f4,75.850,24.150,92.950,7.050,316.07,512,0.951,bicubic,-9.864,-4.570,-5 -xcit_large_24_p16_384_dist,75.820,24.180,92.750,7.250,189.10,384,1.000,bicubic,-9.934,-4.788,-8 -deit3_huge_patch14_224,75.790,24.210,92.760,7.240,632.13,224,0.900,bicubic,-9.414,-4.598,+21 -xcit_small_24_p8_384_dist,75.770,24.230,92.980,7.020,47.63,384,1.000,bicubic,-9.786,-4.592,-4 -vit_base_patch16_clip_224.laion2b_ft_in12k_in1k,75.740,24.260,92.750,7.250,86.57,224,0.950,bicubic,-10.430,-5.004,-31 -ig_resnext101_32x16d,75.720,24.280,92.910,7.090,194.03,224,0.875,bilinear,-8.450,-4.286,+89 -efficientnet_b5.in12k_ft_in1k,75.680,24.320,93.040,6.960,30.39,448,1.000,bicubic,-10.208,-4.692,-22 -tf_efficientnet_b4.ns_jft_in1k,75.670,24.330,93.050,6.950,19.34,380,0.922,bicubic,-9.492,-4.420,+18 -vit_medium_patch16_gap_384.in12k_ft_in1k,75.660,24.340,92.970,7.030,39.03,384,0.950,bicubic,-9.876,-4.664,-7 -volo_d1_384,75.610,24.390,93.070,6.930,26.78,384,1.000,bicubic,-9.640,-4.126,+9 -volo_d3_224,75.610,24.390,93.000,7.000,86.33,224,0.960,bicubic,-9.798,-4.280,-1 -vit_base_patch16_clip_224.openai_ft_in1k,75.590,24.410,92.970,7.030,86.57,224,0.900,bicubic,-9.690,-4.436,+3 -vit_base_r50_s16_384.orig_in21k_ft_in1k,75.590,24.410,92.790,7.210,98.95,384,1.000,bicubic,-9.382,-4.498,+27 -deit_base_distilled_patch16_384,75.550,24.450,92.500,7.500,87.63,384,1.000,bicubic,-9.872,-4.832,-6 -vit_base_patch16_clip_224.openai_ft_in12k_in1k,75.500,24.500,92.760,7.240,86.57,224,0.950,bicubic,-10.430,-4.964,-31 -regnetz_e8,75.490,24.510,92.690,7.310,57.70,320,1.000,bicubic,-9.540,-4.574,+21 -cait_s24_384,75.480,24.520,92.600,7.400,47.06,384,1.000,bicubic,-9.566,-4.746,+19 -xcit_medium_24_p8_224_dist,75.470,24.530,92.900,7.100,84.32,224,1.000,bicubic,-9.602,-4.354,+15 -swsl_resnext101_32x8d,75.430,24.570,92.760,7.240,88.79,224,0.875,bilinear,-8.854,-4.416,+64 -vit_base_patch16_224.augreg2_in21k_ft_in1k,75.410,24.590,93.230,6.770,86.57,224,0.900,bicubic,-9.696,-4.150,+8 -vit_base_patch32_clip_448.laion2b_ft_in12k_in1k,75.410,24.590,92.710,7.290,88.34,448,1.000,bicubic,-10.374,-4.924,-29 -tf_efficientnetv2_m.in1k,75.390,24.610,92.760,7.240,54.14,480,1.000,bicubic,-9.818,-4.608,+1 -tf_efficientnet_b6.ap_in1k,75.380,24.620,92.440,7.560,43.04,528,0.942,bicubic,-9.408,-4.698,+27 -beit_base_patch16_224.in22k_ft_in22k_in1k,75.370,24.630,93.040,6.960,86.53,224,0.900,bicubic,-9.866,-4.616,-3 -volo_d2_224,75.300,24.700,92.510,7.490,58.68,224,0.960,bicubic,-9.896,-4.678,0 -mvitv2_large,75.280,24.720,92.340,7.660,217.99,224,0.900,bicubic,-9.970,-4.874,-6 -dm_nfnet_f3,75.210,24.790,92.940,7.060,254.92,416,0.940,bicubic,-10.312,-4.522,-23 -efficientnetv2_rw_m.agc_in1k,75.170,24.830,92.570,7.430,53.24,416,1.000,bicubic,-9.638,-4.578,+21 -convnext_small.fb_in22k_ft_in1k_384,75.150,24.850,93.050,6.950,50.22,384,1.000,bicubic,-10.628,-4.842,-36 -deit3_large_patch16_224,75.140,24.860,92.280,7.720,304.37,224,0.900,bicubic,-9.624,-4.758,+21 -ecaresnet269d,75.120,24.880,92.840,7.160,102.09,352,1.000,bicubic,-9.856,-4.386,+8 -vit_base_patch16_clip_224.laion2b_ft_in1k,75.120,24.880,92.710,7.290,86.57,224,1.000,bicubic,-10.348,-4.866,-27 -xcit_medium_24_p16_384_dist,75.120,24.880,92.440,7.560,84.40,384,1.000,bicubic,-10.292,-4.966,-24 -deit3_small_patch16_384_in21ft1k,75.090,24.910,92.790,7.210,22.21,384,1.000,bicubic,-9.734,-4.696,+14 -vit_base_patch32_clip_384.laion2b_ft_in12k_in1k,75.080,24.920,92.590,7.410,88.30,384,1.000,bicubic,-10.292,-5.074,-23 -maxvit_tiny_tf_384.in1k,75.010,24.990,92.470,7.530,30.98,384,1.000,bicubic,-10.096,-5.064,-7 -dm_nfnet_f5,75.000,25.000,92.600,7.400,377.21,544,0.954,bicubic,-10.814,-4.888,-48 -xcit_small_24_p8_224_dist,74.980,25.020,92.310,7.690,47.63,224,1.000,bicubic,-9.896,-4.878,+7 -tf_efficientnet_b8.ra_in1k,74.940,25.060,92.310,7.690,87.41,672,0.954,bicubic,-10.430,-4.984,-26 -xcit_small_12_p8_384_dist,74.880,25.120,92.460,7.540,26.21,384,1.000,bicubic,-10.208,-4.822,-8 -eca_nfnet_l2,74.830,25.170,92.650,7.350,56.72,384,1.000,bicubic,-9.868,-4.614,+13 -deit3_base_patch16_384,74.790,25.210,92.240,7.760,86.88,384,1.000,bicubic,-10.282,-5.038,-8 -tf_efficientnet_b7.ra_in1k,74.720,25.280,92.220,7.780,66.35,600,0.949,bicubic,-10.216,-4.984,-2 -deit3_medium_patch16_224_in21ft1k,74.680,25.320,92.480,7.520,38.85,224,1.000,bicubic,-9.880,-4.708,+17 -xcit_large_24_p16_224_dist,74.670,25.330,91.860,8.140,189.10,224,1.000,bicubic,-10.248,-5.272,-2 -convnext_large.fb_in1k,74.640,25.360,91.970,8.030,197.77,288,1.000,bicubic,-10.206,-5.242,+1 -dm_nfnet_f2,74.620,25.380,92.260,7.740,193.78,352,0.920,bicubic,-10.444,-4.980,-12 -xcit_small_24_p16_384_dist,74.610,25.390,92.450,7.550,47.67,384,1.000,bicubic,-10.488,-4.860,-18 -tf_efficientnet_b5.ap_in1k,74.600,25.400,91.990,8.010,30.39,456,0.934,bicubic,-9.652,-4.984,+38 -vit_medium_patch16_gap_256.in12k_ft_in1k,74.580,25.420,91.950,8.050,38.86,256,0.950,bicubic,-9.850,-5.262,+24 -maxvit_large_tf_224.in1k,74.580,25.420,91.700,8.300,211.79,224,0.950,bicubic,-10.346,-5.272,-8 -swin_base_patch4_window7_224,74.570,25.430,92.560,7.440,87.77,224,0.900,bicubic,-10.682,-5.002,-35 -dm_nfnet_f1,74.570,25.430,92.260,7.740,132.63,320,0.910,bicubic,-10.056,-4.840,+5 -maxxvit_rmlp_small_rw_256,74.530,25.470,91.980,8.020,66.01,256,0.950,bicubic,-10.098,-5.082,+2 -convnext_small.fb_in22k_ft_in1k,74.510,25.490,92.700,7.300,50.22,288,1.000,bicubic,-10.752,-4.984,-38 -seresnet152d,74.510,25.490,92.080,7.920,66.84,320,1.000,bicubic,-9.852,-4.960,+25 -gcvit_base,74.500,25.500,91.750,8.250,90.32,224,0.875,bicubic,-9.948,-5.332,+12 -resnest200e,74.480,25.520,91.860,8.140,70.20,320,0.909,bicubic,-9.352,-5.034,+62 -regnetz_040,74.460,25.540,91.890,8.110,27.12,320,1.000,bicubic,-9.776,-5.042,+29 -tf_efficientnetv2_s.in21k_ft_in1k,74.450,25.550,92.510,7.490,21.46,384,1.000,bicubic,-9.852,-4.742,+22 -regnetz_040h,74.430,25.570,92.240,7.760,28.94,320,1.000,bicubic,-10.064,-4.766,+5 -resnetrs200,74.370,25.630,91.940,8.060,93.21,320,1.000,bicubic,-10.078,-4.904,+6 -maxvit_rmlp_small_rw_224,74.360,25.640,91.410,8.590,64.90,224,0.900,bicubic,-10.124,-5.352,+4 -flexivit_base.1200ep_in1k,74.350,25.650,91.800,8.200,86.59,240,0.950,bicubic,-10.314,-5.192,-9 -maxvit_base_tf_224.in1k,74.330,25.670,91.750,8.250,119.47,224,0.950,bicubic,-10.530,-5.240,-19 -seresnextaa101d_32x8d,74.330,25.670,91.720,8.280,93.59,288,1.000,bicubic,-10.238,-5.350,-6 -mvitv2_base,74.240,25.760,91.620,8.380,51.47,224,0.900,bicubic,-10.182,-5.244,+9 -seresnext101d_32x8d,74.210,25.790,91.860,8.140,93.59,288,1.000,bicubic,-10.160,-5.056,+12 -coatnet_rmlp_2_rw_224,74.200,25.800,91.280,8.720,73.88,224,0.950,bicubic,-10.400,-5.456,-11 -resnest269e,74.170,25.830,91.950,8.050,110.93,416,0.928,bicubic,-10.348,-4.986,-8 -efficientnetv2_rw_s.ra2_in1k,74.170,25.830,91.710,8.290,23.94,384,1.000,bicubic,-9.638,-5.014,+52 -cait_xs24_384,74.160,25.840,91.910,8.090,26.67,384,1.000,bicubic,-9.902,-4.978,+28 -pit_b_distilled_224,74.160,25.840,91.680,8.320,74.79,224,0.900,bicubic,-9.984,-5.176,+24 -swsl_resnext101_32x4d,74.140,25.860,91.990,8.010,44.18,224,0.875,bilinear,-9.090,-4.770,+86 -flexivit_base.300ep_in1k,74.140,25.860,91.380,8.620,86.59,240,0.950,bicubic,-10.254,-5.740,+4 -vit_base_patch16_384.orig_in21k_ft_in1k,74.130,25.870,92.360,7.640,86.86,384,1.000,bicubic,-10.080,-4.858,+15 -eca_nfnet_l1,74.120,25.880,92.070,7.930,41.41,320,1.000,bicubic,-9.890,-4.958,+29 -xcit_small_12_p16_384_dist,74.120,25.880,92.070,7.930,26.25,384,1.000,bicubic,-10.586,-5.048,-26 -convnext_base.fb_in1k,74.120,25.880,91.730,8.270,88.59,288,1.000,bicubic,-10.314,-5.090,-5 -volo_d1_224,74.110,25.890,92.030,7.970,26.63,224,0.960,bicubic,-10.054,-4.746,+15 -flexivit_base.600ep_in1k,74.110,25.890,91.750,8.250,86.59,240,0.950,bicubic,-10.408,-5.236,-16 -vit_large_r50_s32_224.augreg_in21k_ft_in1k,74.100,25.900,92.390,7.610,328.99,224,0.900,bicubic,-10.334,-4.582,-11 -xcit_large_24_p8_224,74.060,25.940,90.890,9.110,188.93,224,1.000,bicubic,-10.332,-5.766,-4 -vit_base_patch16_224_miil.in21k_ft_in1k,74.040,25.960,91.700,8.300,86.54,224,0.875,bilinear,-10.228,-5.102,+1 -vit_base_patch32_clip_384.openai_ft_in12k_in1k,74.030,25.970,92.440,7.560,88.30,384,0.950,bicubic,-11.182,-4.962,-63 -swsl_resnext101_32x16d,74.020,25.980,92.160,7.840,194.03,224,0.875,bilinear,-9.326,-4.686,+71 -resnetv2_152x4_bitm,74.010,25.990,92.340,7.660,936.53,480,1.000,bilinear,-10.906,-5.100,-43 -vit_base_patch16_224.augreg_in21k_ft_in1k,74.000,26.000,92.470,7.530,86.57,224,0.900,bicubic,-10.532,-4.824,-28 -swinv2_base_window16_256,74.000,26.000,91.740,8.260,87.92,256,0.900,bicubic,-10.594,-5.334,-29 -tf_efficientnetv2_s.in1k,74.000,26.000,91.530,8.470,21.46,384,1.000,bicubic,-9.894,-5.168,+24 -regnetz_d32,73.970,26.030,91.950,8.050,27.58,320,0.950,bicubic,-10.052,-4.916,+14 -crossvit_18_dagger_408,73.960,26.040,91.420,8.580,44.61,408,1.000,bicubic,-10.236,-5.398,+1 -seresnext101_32x8d,73.940,26.060,91.450,8.550,93.57,288,1.000,bicubic,-10.252,-5.424,+1 -xcit_small_12_p8_224_dist,73.930,26.070,91.720,8.280,26.21,224,1.000,bicubic,-10.302,-5.058,-5 -resnetv2_152x2_bitm,73.920,26.080,92.670,7.330,236.34,448,1.000,bilinear,-10.590,-4.762,-31 -resnetrs420,73.920,26.080,91.760,8.240,191.89,416,1.000,bicubic,-11.088,-5.364,-57 -tf_efficientnet_b6.aa_in1k,73.900,26.100,91.750,8.250,43.04,528,0.942,bicubic,-10.210,-5.136,+1 -tf_efficientnet_b3.ns_jft_in1k,73.890,26.110,91.870,8.130,12.23,300,0.904,bicubic,-10.158,-5.040,+5 -edgenext_base,73.880,26.120,91.770,8.230,18.51,320,1.000,bicubic,-10.080,-4.998,+10 -resmlp_big_24_224_in22ft1k,73.880,26.120,91.750,8.250,129.14,224,0.875,bicubic,-10.514,-5.132,-23 -deit3_small_patch16_224_in21ft1k,73.850,26.150,91.960,8.040,22.06,224,1.000,bicubic,-9.220,-4.820,+74 -vit_small_r26_s32_384.augreg_in21k_ft_in1k,73.800,26.200,92.300,7.700,36.47,384,1.000,bicubic,-10.246,-5.028,+1 -maxvit_rmlp_tiny_rw_256,73.800,26.200,91.440,8.560,29.15,256,0.950,bicubic,-10.432,-5.436,-12 -maxvit_small_tf_224.in1k,73.780,26.220,91.440,8.560,68.93,224,0.950,bicubic,-10.654,-5.724,-30 -regnetz_d8,73.760,26.240,92.010,7.990,23.37,320,1.000,bicubic,-10.290,-4.988,-5 -regnety_080,73.760,26.240,91.800,8.200,39.18,288,1.000,bicubic,-10.172,-5.088,+5 -resnetrs270,73.710,26.290,91.580,8.420,129.86,352,1.000,bicubic,-10.724,-5.390,-34 -gcvit_small,73.690,26.310,91.240,8.760,51.09,224,0.875,bicubic,-10.194,-5.418,+6 -resnet200d,73.680,26.320,91.570,8.430,64.69,320,1.000,bicubic,-10.282,-5.254,-1 -resnetv2_101x3_bitm,73.670,26.330,92.470,7.530,387.93,448,1.000,bilinear,-10.770,-4.912,-40 -ig_resnext101_32x8d,73.650,26.350,92.190,7.810,88.79,224,0.875,bilinear,-9.038,-4.446,+88 -xcit_medium_24_p16_224_dist,73.650,26.350,91.570,8.430,84.40,224,1.000,bicubic,-10.624,-5.370,-28 -regnety_064,73.580,26.420,91.340,8.660,30.58,288,1.000,bicubic,-10.136,-5.334,+17 -tresnet_v2_l,73.570,26.430,90.960,9.040,46.17,224,0.875,bilinear,-10.332,-5.532,-2 -tf_efficientnet_b5.ra_in1k,73.550,26.450,91.460,8.540,30.39,456,0.934,bicubic,-10.262,-5.288,+6 -swinv2_base_window8_256,73.530,26.470,91.530,8.470,87.92,256,0.900,bicubic,-10.732,-5.392,-30 -resnet152d,73.520,26.480,91.230,8.770,60.21,320,1.000,bicubic,-10.160,-5.508,+19 -cs3se_edgenet_x,73.510,26.490,91.500,8.500,50.72,320,1.000,bicubic,-10.038,-5.170,+23 -regnetv_064,73.480,26.520,91.590,8.410,30.58,288,1.000,bicubic,-10.232,-5.158,+12 -convnext_small.fb_in1k,73.480,26.520,91.330,8.670,50.22,288,1.000,bicubic,-10.226,-5.480,+15 -deit3_base_patch16_224,73.470,26.530,91.290,8.710,86.59,224,0.900,bicubic,-10.322,-5.294,+3 -sequencer2d_l,73.470,26.530,91.100,8.900,54.30,224,0.875,bicubic,-9.936,-5.406,+25 -xcit_tiny_24_p8_384_dist,73.400,26.600,91.570,8.430,12.11,384,1.000,bicubic,-10.340,-5.064,+3 -resnetrs350,73.400,26.600,91.310,8.690,163.96,384,1.000,bicubic,-11.320,-5.678,-71 -twins_svt_large,73.390,26.610,90.910,9.090,99.27,224,0.900,bicubic,-10.288,-5.684,+12 -regnetz_d8_evos,73.380,26.620,91.640,8.360,23.46,320,0.950,bicubic,-10.670,-5.354,-25 -pvt_v2_b4,73.380,26.620,91.080,8.920,62.56,224,0.900,bicubic,-10.336,-5.640,+5 -regnety_160,73.360,26.640,91.690,8.310,83.59,288,1.000,bicubic,-10.326,-5.086,+7 -efficientnet_b4.ra2_in1k,73.320,26.680,91.280,8.720,19.34,384,1.000,bicubic,-10.108,-5.316,+16 -swin_s3_base_224,73.320,26.680,91.180,8.820,71.13,224,0.900,bicubic,-10.610,-5.482,-19 -vit_small_patch16_384.augreg_in21k_ft_in1k,73.290,26.710,91.990,8.010,22.20,384,1.000,bicubic,-10.512,-5.112,-9 -xcit_small_24_p16_224_dist,73.290,26.710,91.450,8.550,47.67,224,1.000,bicubic,-10.572,-5.278,-18 -resmlp_big_24_distilled_224,73.290,26.710,91.160,8.840,129.14,224,0.875,bicubic,-10.298,-5.488,+8 -swinv2_small_window16_256,73.280,26.720,91.270,8.730,49.73,256,0.900,bicubic,-10.926,-5.600,-42 -mvitv2_small,73.270,26.730,91.200,8.800,34.87,224,0.900,bicubic,-10.498,-5.370,-10 -gcvit_tiny,73.270,26.730,90.970,9.030,28.22,224,0.875,bicubic,-10.130,-5.428,+13 -pvt_v2_b5,73.240,26.760,91.090,8.910,81.96,224,0.900,bicubic,-10.500,-5.622,-10 -deit_base_distilled_patch16_224,73.240,26.760,91.000,9.000,87.34,224,0.900,bicubic,-10.148,-5.488,+14 -pvt_v2_b3,73.210,26.790,91.010,8.990,45.24,224,0.900,bicubic,-9.916,-5.546,+31 -resnetrs152,73.200,26.800,91.260,8.740,86.62,320,1.000,bicubic,-10.512,-5.354,-8 -maxvit_tiny_rw_224,73.200,26.800,90.820,9.180,29.06,224,0.950,bicubic,-10.304,-5.682,+2 -xcit_medium_24_p8_224,73.140,26.860,90.270,9.730,84.32,224,1.000,bicubic,-10.594,-6.124,-13 -vit_base_patch32_384.augreg_in21k_ft_in1k,73.130,26.870,91.240,8.760,88.30,384,1.000,bicubic,-10.220,-5.596,+12 -jx_nest_base,73.110,26.890,91.070,8.930,67.72,224,0.875,bicubic,-10.442,-5.300,-4 -swinv2_small_window8_256,73.110,26.890,90.940,9.060,49.73,256,0.900,bicubic,-10.746,-5.700,-29 -xcit_small_24_p8_224,73.090,26.910,91.150,8.850,47.63,224,1.000,bicubic,-10.748,-5.486,-27 -deit3_small_patch16_384,73.080,26.920,91.230,8.770,22.21,384,1.000,bicubic,-10.346,-5.446,-1 -cait_s24_224,73.070,26.930,91.130,8.870,46.92,224,1.000,bicubic,-10.382,-5.434,-4 -coatnet_rmlp_1_rw_224,73.020,26.980,90.890,9.110,41.69,224,0.950,bicubic,-10.338,-5.566,+5 -crossvit_15_dagger_408,72.950,27.050,91.080,8.920,28.50,408,1.000,bicubic,-10.888,-5.702,-32 -maxvit_tiny_tf_224.in1k,72.910,27.090,90.810,9.190,30.92,224,0.950,bicubic,-10.488,-5.778,-3 -coatnet_1_rw_224,72.910,27.090,90.790,9.210,41.72,224,0.950,bicubic,-10.698,-5.598,-13 -resnetv2_152x2_bit_teacher_384,72.890,27.110,91.550,8.450,236.34,384,1.000,bicubic,-10.954,-5.568,-36 -tf_efficientnet_b4.ap_in1k,72.890,27.110,90.980,9.020,19.34,380,0.922,bicubic,-10.358,-5.412,+6 -regnetv_040,72.880,27.120,91.100,8.900,20.64,288,1.000,bicubic,-10.314,-5.560,+7 -dm_nfnet_f0,72.880,27.120,91.080,8.920,71.49,256,0.900,bicubic,-10.506,-5.492,-3 -swinv2_cr_small_ns_224,72.800,27.200,90.800,9.200,49.70,224,0.900,bicubic,-10.688,-5.686,-14 -xception65p,72.790,27.210,90.910,9.090,39.82,299,0.940,bicubic,-10.340,-5.570,+11 -regnety_032,72.770,27.230,90.950,9.050,19.44,288,1.000,bicubic,-9.954,-5.474,+36 -regnety_040,72.710,27.290,90.720,9.280,20.65,288,1.000,bicubic,-10.328,-5.790,+17 -efficientformer_l7,72.690,27.310,90.810,9.190,82.23,224,0.950,bicubic,-10.696,-5.730,-8 -swin_s3_small_224,72.670,27.330,90.560,9.440,49.74,224,0.900,bicubic,-11.100,-5.890,-37 -nfnet_l0,72.610,27.390,91.010,8.990,35.07,288,1.000,bicubic,-10.140,-5.506,+31 -resnext101_64x4d,72.610,27.390,90.840,9.160,83.46,288,1.000,bicubic,-10.538,-5.532,0 -xcit_small_12_p8_224,72.610,27.390,90.680,9.320,26.21,224,1.000,bicubic,-10.734,-5.800,-8 -pnasnet5large,72.610,27.390,90.510,9.490,86.06,331,0.911,bicubic,-10.172,-5.530,+28 -xception65,72.600,27.400,90.830,9.170,39.92,299,0.940,bicubic,-10.580,-5.762,-3 -cs3sedarknet_x,72.580,27.420,91.050,8.950,35.40,288,1.000,bicubic,-10.074,-5.304,+33 -twins_pcpvt_large,72.580,27.420,90.700,9.300,60.99,224,0.900,bicubic,-10.560,-5.898,-2 -resnest101e,72.570,27.430,90.820,9.180,48.28,256,0.875,bilinear,-10.320,-5.500,+15 -swsl_resnext50_32x4d,72.560,27.440,90.870,9.130,25.03,224,0.875,bilinear,-9.622,-5.360,+80 -twins_svt_base,72.550,27.450,90.460,9.540,56.07,224,0.900,bicubic,-10.586,-5.958,-5 -tresnet_xl_448,72.550,27.450,90.310,9.690,78.44,448,0.875,bilinear,-10.500,-5.864,+4 -resnetv2_50x3_bitm,72.530,27.470,91.760,8.240,217.32,448,1.000,bilinear,-11.484,-5.364,-70 -gc_efficientnetv2_rw_t.agc_in1k,72.530,27.470,90.820,9.180,13.68,288,1.000,bicubic,-9.934,-5.478,+46 -deit_base_patch16_384,72.530,27.470,90.250,9.750,86.86,384,1.000,bicubic,-10.576,-6.122,-2 -deit3_medium_patch16_224,72.520,27.480,90.780,9.220,38.85,224,0.900,bicubic,-10.560,-5.512,-4 -xcit_small_12_p16_224_dist,72.500,27.500,91.120,8.880,26.25,224,1.000,bicubic,-10.850,-5.294,-23 -vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,72.500,27.500,90.870,9.130,88.22,224,0.900,bicubic,-10.806,-5.660,-19 -convnext_tiny.fb_in22k_ft_in1k_384,72.490,27.510,91.540,8.460,28.59,384,1.000,bicubic,-11.590,-5.602,-81 -xcit_tiny_24_p8_224_dist,72.440,27.560,90.920,9.080,12.11,224,1.000,bicubic,-10.122,-5.146,+31 -resnet101d,72.410,27.590,90.650,9.350,44.57,320,1.000,bicubic,-10.612,-5.796,-3 -sequencer2d_m,72.400,27.600,90.690,9.310,38.31,224,0.875,bicubic,-10.406,-5.578,+8 -maxxvit_rmlp_nano_rw_256,72.380,27.620,90.750,9.250,16.78,256,0.950,bicubic,-10.650,-5.594,-8 -jx_nest_small,72.380,27.620,90.690,9.310,38.35,224,0.875,bicubic,-10.740,-5.638,-13 -maxvit_rmlp_nano_rw_256,72.380,27.620,90.450,9.550,15.50,256,0.950,bicubic,-10.582,-5.820,-4 -regnetz_c16,72.320,27.680,90.820,9.180,13.46,320,0.940,bicubic,-10.198,-5.252,+30 -tf_efficientnet_b4.aa_in1k,72.290,27.710,90.590,9.410,19.34,380,0.922,bicubic,-10.732,-5.710,-8 -tf_efficientnet_b2.ns_jft_in1k,72.280,27.720,91.090,8.910,9.11,260,0.890,bicubic,-10.100,-5.158,+39 -maxvit_nano_rw_256,72.280,27.720,90.550,9.450,15.45,256,0.950,bicubic,-10.652,-5.672,-6 -tresnet_m,72.270,27.730,90.240,9.760,31.39,224,0.875,bilinear,-10.810,-5.878,-17 -resnetv2_50x1_bit_distilled,72.260,27.740,91.010,8.990,25.55,224,0.875,bicubic,-10.558,-5.512,-3 -crossvit_18_240,72.250,27.750,90.270,9.730,43.27,240,0.875,bicubic,-10.150,-5.784,+32 -regnetz_c16_evos,72.240,27.760,91.230,8.770,13.49,320,0.950,bicubic,-10.390,-5.244,+8 -efficientnetv2_rw_t.ra2_in1k,72.240,27.760,90.420,9.580,13.65,288,1.000,bicubic,-10.108,-5.776,+38 -nasnetalarge,72.230,27.770,90.470,9.530,88.75,331,0.911,bicubic,-10.390,-5.576,+8 -cait_xxs36_384,72.190,27.810,90.840,9.160,17.37,384,1.000,bicubic,-10.004,-5.308,+53 -twins_pcpvt_base,72.180,27.820,90.510,9.490,43.83,224,0.900,bicubic,-10.528,-5.836,-2 -crossvit_18_dagger_240,72.150,27.850,90.070,9.930,44.27,240,0.875,bicubic,-10.368,-6.290,+19 -xcit_tiny_24_p16_384_dist,72.080,27.920,90.580,9.420,12.12,384,1.000,bicubic,-10.490,-5.706,+11 -resnet152,72.070,27.930,90.350,9.650,60.19,224,0.950,bicubic,-10.752,-5.776,-13 -cs3edgenet_x,72.050,27.950,90.370,9.630,47.82,288,1.000,bicubic,-10.652,-6.000,-5 -vit_relpos_base_patch16_clsgap_224.sw_in1k,72.010,27.990,90.250,9.750,86.43,224,0.900,bicubic,-10.752,-5.924,-10 -mobilevitv2_200_384_in22ft1k,72.000,28.000,90.630,9.370,18.45,384,1.000,bicubic,-11.394,-5.950,-55 -efficientformer_l3,72.000,28.000,90.280,9.720,31.41,224,0.950,bicubic,-10.550,-5.968,+10 -vit_relpos_medium_patch16_cls_224.sw_in1k,71.980,28.020,90.290,9.710,38.76,224,0.900,bicubic,-10.582,-5.880,+5 -convnext_tiny.fb_in1k,71.980,28.020,90.210,9.790,28.59,288,1.000,bicubic,-10.720,-5.926,-8 -convnext_tiny_hnf.a2h_in1k,71.980,28.020,89.770,10.230,28.59,288,1.000,bicubic,-10.610,-6.246,-1 -sequencer2d_s,71.940,28.060,90.480,9.520,27.65,224,0.875,bicubic,-10.402,-5.550,+25 -convnext_nano.in12k_ft_in1k,71.890,28.110,91.000,9.000,15.59,288,1.000,bicubic,-10.968,-5.556,-23 -swinv2_cr_small_224,71.890,28.110,90.270,9.730,49.70,224,0.900,bicubic,-11.256,-5.824,-45 -eca_nfnet_l0,71.840,28.160,91.110,8.890,24.14,288,1.000,bicubic,-10.740,-5.380,-3 -vit_relpos_base_patch16_224.sw_in1k,71.830,28.170,90.260,9.740,86.43,224,0.900,bicubic,-10.654,-5.882,+6 -mobilevitv2_175_384_in22ft1k,71.810,28.190,90.780,9.220,14.25,384,1.000,bicubic,-11.132,-5.646,-32 -flexivit_small.1200ep_in1k,71.740,28.260,90.270,9.730,22.06,240,0.950,bicubic,-10.786,-5.866,0 -swin_small_patch4_window7_224,71.740,28.260,90.240,9.760,49.61,224,0.900,bicubic,-11.472,-6.082,-54 -mvitv2_tiny,71.720,28.280,90.300,9.700,24.17,224,0.900,bicubic,-10.684,-5.856,+6 -flexivit_small.300ep_in1k,71.720,28.280,89.970,10.030,22.06,240,0.950,bicubic,-10.452,-6.054,+36 -swsl_resnet50,71.700,28.300,90.500,9.500,25.56,224,0.875,bilinear,-9.466,-4.596,+99 -pvt_v2_b2_li,71.700,28.300,90.010,9.990,22.55,224,0.900,bicubic,-10.496,-6.094,+29 -pit_b_224,71.700,28.300,89.250,10.750,73.76,224,0.900,bicubic,-10.746,-6.460,+4 -xcit_large_24_p16_224,71.700,28.300,89.170,10.830,189.10,224,1.000,bicubic,-11.196,-6.712,-38 -coatnet_bn_0_rw_224,71.690,28.310,90.380,9.620,27.44,224,0.950,bicubic,-10.708,-5.802,+3 -flexivit_small.600ep_in1k,71.690,28.310,90.160,9.840,22.06,240,0.950,bicubic,-10.664,-5.926,+7 -resnet61q,71.680,28.320,90.270,9.730,36.85,288,1.000,bicubic,-10.844,-5.860,-9 -gcvit_xtiny,71.660,28.340,90.230,9.770,19.98,224,0.875,bicubic,-10.292,-5.736,+43 -tresnet_xl,71.660,28.340,89.630,10.370,78.44,224,0.875,bilinear,-10.394,-6.306,+33 -convit_base,71.600,28.400,90.150,9.850,86.54,224,0.875,bicubic,-10.688,-5.858,+14 -tresnet_l_448,71.600,28.400,90.050,9.950,55.99,448,0.875,bilinear,-10.668,-5.926,+14 -xcit_tiny_12_p8_384_dist,71.580,28.420,90.710,9.290,6.71,384,1.000,bicubic,-10.808,-5.514,-2 -swinv2_tiny_window16_256,71.570,28.430,90.340,9.660,28.35,256,0.900,bicubic,-11.240,-5.892,-41 -poolformer_m48,71.550,28.450,89.760,10.240,73.47,224,0.950,bicubic,-10.912,-6.198,-10 -coatnet_0_rw_224,71.540,28.460,89.420,10.580,27.44,224,0.950,bicubic,-10.850,-6.416,-6 -crossvit_15_dagger_240,71.520,28.480,89.860,10.140,28.21,240,0.875,bicubic,-10.812,-6.658,+2 -ssl_resnext101_32x8d,71.500,28.500,90.460,9.540,88.79,224,0.875,bilinear,-10.116,-5.578,+54 -fbnetv3_g.ra2_in1k,71.500,28.500,90.370,9.630,16.62,288,0.950,bilinear,-10.548,-5.694,+26 -mobilevitv2_150_384_in22ft1k,71.490,28.510,90.420,9.580,10.59,384,1.000,bicubic,-11.104,-5.898,-33 -ecaresnet101d,71.490,28.510,90.330,9.670,44.57,224,0.875,bicubic,-10.682,-5.716,+15 -efficientnet_b3.ra2_in1k,71.480,28.520,90.060,9.940,12.23,320,1.000,bicubic,-10.762,-6.054,+5 -resnet51q,71.430,28.570,90.180,9.820,35.70,288,1.000,bilinear,-10.930,-6.000,-11 -pvt_v2_b2,71.430,28.570,90.040,9.960,25.36,224,0.900,bicubic,-10.646,-5.922,+17 -ssl_resnext101_32x16d,71.410,28.590,90.560,9.440,194.03,224,0.875,bilinear,-10.434,-5.536,+34 -pit_s_distilled_224,71.380,28.620,89.780,10.220,24.04,224,0.900,bicubic,-10.616,-6.018,+21 -vit_relpos_medium_patch16_224.sw_in1k,71.350,28.650,89.950,10.050,38.75,224,0.900,bicubic,-11.116,-6.138,-24 -xcit_tiny_24_p8_224,71.340,28.660,90.240,9.760,12.11,224,1.000,bicubic,-10.560,-5.736,+29 -vit_base_patch16_224.orig_in21k_ft_in1k,71.330,28.670,90.460,9.540,86.57,224,0.900,bicubic,-10.456,-5.662,+35 -tf_efficientnetv2_b3.in21k_ft_in1k,71.310,28.690,90.760,9.240,14.36,300,0.900,bicubic,-11.362,-5.864,-47 -mixer_b16_224_miil,71.300,28.700,89.650,10.350,59.88,224,0.875,bilinear,-11.008,-6.066,-9 -resnetv2_152x2_bit_teacher,71.290,28.710,90.430,9.570,236.34,224,0.875,bicubic,-11.572,-6.138,-63 -ecaresnet50t,71.280,28.720,90.420,9.580,25.57,320,0.950,bicubic,-11.066,-5.718,-17 -resnetv2_101,71.270,28.730,89.920,10.080,44.54,224,0.950,bicubic,-10.760,-5.940,+11 -convmixer_1536_20,71.240,28.760,89.430,10.570,51.63,224,0.960,bicubic,-10.136,-6.184,+59 -vit_base_patch32_clip_224.laion2b_ft_in1k,71.200,28.800,90.200,9.800,88.22,224,0.900,bicubic,-11.382,-6.002,-45 -xcit_small_12_p16_224,71.200,28.800,89.750,10.250,26.25,224,1.000,bicubic,-10.774,-6.066,+12 -crossvit_base_240,71.190,28.810,89.840,10.160,105.03,240,0.875,bicubic,-11.026,-5.990,-8 -vit_relpos_medium_patch16_rpn_224.sw_in1k,71.170,28.830,90.080,9.920,38.73,224,0.900,bicubic,-11.128,-5.894,-17 -deit_base_patch16_224,71.170,28.830,89.200,10.800,86.57,224,0.900,bicubic,-10.828,-6.534,+7 -mobilevitv2_200_in22ft1k,71.140,28.860,89.700,10.300,18.45,256,0.888,bicubic,-11.184,-6.240,-21 -swin_s3_tiny_224,71.130,28.870,89.720,10.280,28.33,224,0.900,bicubic,-10.992,-6.228,-5 -resnetv2_50d_evos,71.110,28.890,90.030,9.970,25.59,288,0.950,bicubic,-10.866,-5.886,+5 -halo2botnet50ts_256,71.100,28.900,89.610,10.390,22.64,256,0.950,bicubic,-10.960,-6.026,-2 -cs3sedarknet_l,71.080,28.920,90.330,9.670,21.91,288,0.950,bicubic,-10.694,-5.638,+20 -cs3darknet_x,71.070,28.930,90.120,9.880,35.05,288,1.000,bicubic,-11.158,-6.114,-17 -xcit_tiny_12_p8_224_dist,71.040,28.960,89.880,10.120,6.71,224,1.000,bicubic,-10.172,-5.720,+54 -xcit_medium_24_p16_224,71.020,28.980,89.520,10.480,84.40,224,1.000,bicubic,-11.616,-6.456,-63 -resnetv2_101x1_bitm,71.010,28.990,91.090,8.910,44.54,448,1.000,bilinear,-11.322,-4.866,-32 -resnetv2_50d_gn,71.010,28.990,89.770,10.230,25.57,288,0.950,bicubic,-10.806,-6.154,+12 -xcit_small_24_p16_224,71.010,28.990,89.700,10.300,47.67,224,1.000,bicubic,-11.570,-6.304,-59 -visformer_small,71.010,28.990,89.460,10.540,40.22,224,0.900,bicubic,-11.096,-6.412,-12 -lamhalobotnet50ts_256,70.990,29.010,89.060,10.940,22.57,256,0.950,bicubic,-10.554,-6.444,+23 -tresnet_m_448,70.990,29.010,88.680,11.320,31.39,448,0.875,bilinear,-10.724,-6.892,+12 -edgenext_small,70.980,29.020,89.870,10.130,5.59,320,1.000,bicubic,-10.588,-5.836,+20 -resnest50d_4s2x40d,70.950,29.050,89.710,10.290,30.42,224,0.875,bicubic,-10.158,-5.848,+54 -wide_resnet50_2,70.950,29.050,89.230,10.770,68.88,224,0.875,bicubic,-10.506,-6.302,+29 -convnext_nano.d1h_in1k,70.940,29.060,89.420,10.580,15.59,288,1.000,bicubic,-10.530,-6.238,+26 -vit_small_patch16_224.augreg_in21k_ft_in1k,70.930,29.070,90.140,9.860,22.05,224,0.900,bicubic,-10.472,-5.994,+30 -tnt_s_patch16_224,70.930,29.070,89.600,10.400,23.76,224,0.900,bicubic,-10.588,-6.148,+20 -coatnet_nano_rw_224,70.920,29.080,89.710,10.290,15.14,224,0.900,bicubic,-10.780,-5.928,+6 -tf_efficientnet_b3.ap_in1k,70.920,29.080,89.430,10.570,12.23,300,0.904,bicubic,-10.902,-6.194,-2 -coatnext_nano_rw_224,70.910,29.090,90.250,9.750,14.70,224,0.900,bicubic,-11.038,-5.668,-11 -coatnet_rmlp_nano_rw_224,70.910,29.090,89.920,10.080,15.15,224,0.900,bicubic,-11.154,-5.950,-22 -vit_srelpos_medium_patch16_224.sw_in1k,70.900,29.100,89.960,10.040,38.74,224,0.900,bicubic,-11.336,-5.974,-37 -tf_efficientnet_b1.ns_jft_in1k,70.870,29.130,90.120,9.880,7.79,240,0.882,bicubic,-10.518,-5.618,+25 -vit_base_patch16_rpn_224.in1k,70.870,29.130,89.770,10.230,86.54,224,0.900,bicubic,-11.332,-6.226,-36 -vit_large_patch32_384.orig_in21k_ft_in1k,70.860,29.140,90.570,9.430,306.63,384,1.000,bicubic,-10.646,-5.522,+13 -jx_nest_tiny,70.850,29.150,89.940,10.060,17.06,224,0.875,bicubic,-10.564,-5.676,+20 -resnetrs101,70.840,29.160,89.830,10.170,63.62,288,0.940,bicubic,-11.448,-6.108,-47 -rexnet_200,70.840,29.160,89.700,10.300,16.37,224,0.875,bicubic,-10.792,-5.968,-1 -tresnet_l,70.840,29.160,89.630,10.370,55.99,224,0.875,bilinear,-10.648,-5.994,+9 -resnet101,70.840,29.160,89.510,10.490,44.55,224,0.950,bicubic,-11.098,-6.244,-15 -tf_efficientnetv2_b3.in1k,70.830,29.170,89.500,10.500,14.36,300,0.904,bicubic,-11.140,-6.282,-24 -coat_lite_small,70.800,29.200,89.570,10.430,19.84,224,0.900,bicubic,-11.508,-6.280,-54 -poolformer_m36,70.790,29.210,89.510,10.490,56.17,224,0.950,bicubic,-11.320,-6.178,-38 -deit3_small_patch16_224,70.760,29.240,89.460,10.540,22.06,224,0.900,bicubic,-10.626,-5.990,+15 -levit_384,70.750,29.250,89.300,10.700,39.13,224,0.900,bicubic,-11.836,-6.716,-88 -swinv2_cr_tiny_ns_224,70.720,29.280,89.370,10.630,28.33,224,0.900,bicubic,-11.070,-6.454,-16 -vit_relpos_small_patch16_224.sw_in1k,70.710,29.290,90.000,10.000,21.98,224,0.900,bicubic,-10.752,-5.828,+4 -vit_base_patch32_clip_224.openai_ft_in1k,70.710,29.290,89.830,10.170,88.22,224,0.900,bicubic,-11.220,-6.138,-24 -mobilevitv2_175_in22ft1k,70.650,29.350,89.710,10.290,14.25,256,0.888,bicubic,-11.294,-6.082,-28 -tf_efficientnet_b3.aa_in1k,70.640,29.360,89.440,10.560,12.23,300,0.904,bicubic,-10.996,-6.278,-13 -crossvit_small_240,70.610,29.390,89.360,10.640,26.86,240,0.875,bicubic,-10.410,-6.100,+33 -cait_xxs24_384,70.600,29.400,89.720,10.280,12.03,384,1.000,bicubic,-10.366,-5.926,+36 -gluon_senet154,70.600,29.400,88.920,11.080,115.09,224,0.875,bicubic,-10.634,-6.428,+14 -convit_small,70.580,29.420,89.580,10.420,27.78,224,0.875,bicubic,-10.846,-6.164,0 -convnext_nano_ols.d1h_in1k,70.570,29.430,89.090,10.910,15.65,288,1.000,bicubic,-11.040,-6.550,-14 -twins_pcpvt_small,70.550,29.450,89.070,10.930,24.11,224,0.900,bicubic,-10.538,-6.572,+25 -swinv2_tiny_window8_256,70.540,29.460,89.500,10.500,28.35,256,0.900,bicubic,-11.266,-6.494,-28 -ssl_resnext101_32x4d,70.530,29.470,89.760,10.240,44.18,224,0.875,bilinear,-10.394,-5.968,+34 -vit_small_r26_s32_224.augreg_in21k_ft_in1k,70.520,29.480,90.110,9.890,36.43,224,0.900,bicubic,-11.338,-5.912,-35 -deit_small_distilled_patch16_224,70.520,29.480,89.470,10.530,22.44,224,0.900,bicubic,-10.680,-5.908,+10 -legacy_senet154,70.500,29.500,89.010,10.990,115.09,224,0.875,bilinear,-10.810,-6.486,+3 -regnetz_b16,70.450,29.550,89.530,10.470,9.72,288,0.940,bicubic,-10.266,-5.948,+42 -twins_svt_small,70.440,29.560,89.360,10.640,24.06,224,0.900,bicubic,-11.242,-6.310,-28 -crossvit_15_240,70.430,29.570,89.530,10.470,27.53,240,0.875,bicubic,-11.106,-6.162,-20 -gluon_seresnext101_64x4d,70.430,29.570,89.350,10.650,88.23,224,0.875,bicubic,-10.464,-5.958,+30 -halonet50ts,70.430,29.570,89.320,10.680,22.73,256,0.940,bicubic,-11.214,-6.288,-30 -tf_efficientnet_lite4.in1k,70.430,29.570,89.110,10.890,13.01,380,0.920,bilinear,-11.106,-6.558,-22 -resnetaa50,70.420,29.580,90.000,10.000,25.56,288,1.000,bicubic,-11.202,-5.808,-29 -resnest50d,70.410,29.590,88.760,11.240,27.48,224,0.875,bilinear,-10.564,-6.618,+18 -resnest50d_1s4x24d,70.400,29.600,89.220,10.780,25.68,224,0.875,bicubic,-10.588,-6.102,+16 -seresnext50_32x4d,70.400,29.600,89.110,10.890,27.56,224,0.875,bicubic,-10.866,-6.510,-5 -cs3darknet_l,70.360,29.640,89.750,10.250,21.16,288,0.950,bicubic,-10.536,-5.920,+22 -gernet_l,70.350,29.650,88.980,11.020,31.08,256,0.875,bilinear,-11.004,-6.556,-11 -vit_srelpos_small_patch16_224.sw_in1k,70.290,29.710,89.580,10.420,21.97,224,0.900,bicubic,-10.804,-5.752,+4 -gluon_resnet152_v1s,70.290,29.710,88.850,11.150,60.32,224,0.875,bicubic,-10.726,-6.562,+11 -repvgg_b3,70.250,29.750,88.730,11.270,123.09,224,0.875,bilinear,-10.242,-6.530,+40 -coat_mini,70.220,29.780,89.440,10.560,10.34,224,0.900,bicubic,-11.048,-5.952,-12 -xception41p,70.220,29.780,89.090,10.910,26.91,299,0.940,bicubic,-11.738,-6.704,-60 -sebotnet33ts_256,70.180,29.820,88.790,11.210,13.70,256,0.940,bicubic,-10.970,-6.384,-6 -ecaresnet101d_pruned,70.130,29.870,89.590,10.410,24.88,224,0.875,bicubic,-10.688,-6.038,+19 -efficientnet_el.ra_in1k,70.120,29.880,89.290,10.710,10.59,300,0.904,bicubic,-11.196,-6.236,-18 -inception_resnet_v2,70.120,29.880,88.700,11.300,55.84,299,0.897,bicubic,-10.338,-6.606,+40 -resmlp_36_distilled_224,70.090,29.910,89.100,10.900,44.69,224,0.875,bicubic,-11.070,-6.388,-12 -haloregnetz_b,70.090,29.910,88.860,11.140,11.68,224,0.940,bicubic,-10.960,-6.336,-1 -poolformer_s36,70.020,29.980,89.190,10.810,30.86,224,0.900,bicubic,-11.396,-6.256,-30 -sehalonet33ts,70.020,29.980,88.710,11.290,13.69,256,0.940,bicubic,-10.938,-6.566,+3 -gluon_seresnext101_32x4d,70.010,29.990,88.900,11.100,48.96,224,0.875,bicubic,-10.894,-6.394,+6 -regnety_320,70.000,30.000,88.890,11.110,145.05,224,0.875,bicubic,-10.810,-6.354,+12 -levit_256,69.970,30.030,89.250,10.750,18.89,224,0.900,bicubic,-11.540,-6.240,-42 -gluon_resnet152_v1d,69.960,30.040,88.490,11.510,60.21,224,0.875,bicubic,-10.514,-6.716,+29 -pit_s_224,69.890,30.110,88.930,11.070,23.46,224,0.900,bicubic,-11.204,-6.640,-11 -maxvit_rmlp_pico_rw_256,69.880,30.120,89.270,10.730,7.52,256,0.950,bicubic,-10.636,-5.942,+22 -ecaresnet50d,69.840,30.160,89.400,10.600,25.58,224,0.875,bicubic,-10.752,-5.920,+15 -mobilevitv2_150_in22ft1k,69.820,30.180,89.170,10.830,10.59,256,0.888,bicubic,-11.658,-6.504,-44 -mobilevitv2_200,69.760,30.240,88.610,11.390,18.45,256,0.888,bicubic,-11.376,-6.756,-21 -ssl_resnext50_32x4d,69.710,30.290,89.440,10.560,25.03,224,0.875,bilinear,-10.608,-5.966,+38 -xcit_tiny_24_p16_224_dist,69.700,30.300,88.710,11.290,12.12,224,1.000,bicubic,-10.746,-6.508,+27 -xcit_tiny_12_p16_384_dist,69.690,30.310,89.030,10.970,6.72,384,1.000,bicubic,-11.250,-6.380,-8 -lambda_resnet50ts,69.690,30.310,88.830,11.170,21.54,256,0.950,bicubic,-11.476,-7.142,-27 -resmlp_24_distilled_224,69.680,30.320,89.050,10.950,30.02,224,0.875,bicubic,-11.086,-6.168,0 -gluon_resnext101_64x4d,69.680,30.320,88.270,11.730,83.46,224,0.875,bicubic,-10.924,-6.718,+7 -resnext50_32x4d,69.660,30.340,88.660,11.340,25.03,224,0.950,bicubic,-11.458,-6.672,-26 -efficientnet_b3_pruned.in1k,69.580,30.420,88.980,11.020,9.86,300,0.904,bicubic,-11.278,-6.262,-5 -gcresnext50ts,69.540,30.460,88.850,11.150,15.67,256,0.900,bicubic,-11.040,-6.320,+5 -nf_resnet50,69.540,30.460,88.730,11.270,25.56,288,0.940,bicubic,-11.122,-6.606,0 -gernet_m,69.530,30.470,88.690,11.310,21.14,224,0.875,bilinear,-11.202,-6.494,-5 -ens_adv_inception_resnet_v2,69.530,30.470,88.510,11.490,55.84,299,0.897,bicubic,-10.452,-6.428,+51 -efficientnet_el_pruned.in1k,69.520,30.480,88.930,11.070,10.59,300,0.904,bicubic,-10.780,-6.288,+30 -repvgg_b3g4,69.520,30.480,88.450,11.550,83.83,224,0.875,bilinear,-10.692,-6.660,+36 -gcresnet50t,69.500,30.500,89.040,10.960,25.90,256,0.900,bicubic,-11.440,-6.414,-21 -efficientnet_b2.ra_in1k,69.500,30.500,88.680,11.320,9.11,288,1.000,bicubic,-11.112,-6.638,-4 -rexnet_150,69.470,30.530,88.980,11.020,9.73,224,0.875,bicubic,-10.840,-6.186,+23 -gcvit_xxtiny,69.470,30.530,88.870,11.130,12.00,224,0.875,bicubic,-10.244,-6.210,+61 -swin_tiny_patch4_window7_224,69.450,30.550,89.020,10.980,28.29,224,0.900,bicubic,-11.928,-6.520,-54 -regnetx_320,69.440,30.560,88.270,11.730,107.81,224,0.875,bicubic,-10.806,-6.756,+27 -cspresnext50,69.430,30.570,88.620,11.380,20.57,256,0.887,bilinear,-11.116,-6.700,-6 -vit_base_patch32_224.augreg_in21k_ft_in1k,69.410,30.590,89.420,10.580,88.22,224,0.900,bicubic,-11.314,-6.148,-14 -convmixer_768_32,69.400,30.600,88.910,11.090,21.11,224,0.960,bicubic,-10.764,-6.162,+30 -darknet53,69.370,30.630,88.770,11.230,41.61,288,1.000,bicubic,-11.164,-6.650,-8 -inception_v4,69.360,30.640,88.780,11.220,42.68,299,0.875,bicubic,-10.808,-6.188,+27 -legacy_seresnext101_32x4d,69.360,30.640,88.070,11.930,48.96,224,0.875,bilinear,-10.868,-6.948,+23 -ecaresnetlight,69.340,30.660,89.220,10.780,30.16,224,0.875,bicubic,-11.122,-6.028,-1 -resnet50d,69.330,30.670,88.220,11.780,25.58,224,0.875,bicubic,-11.200,-6.940,-11 -cs3darknet_focus_l,69.320,30.680,89.440,10.560,21.15,288,0.950,bicubic,-11.564,-6.242,-28 -xception71,69.320,30.680,88.260,11.740,42.34,299,0.903,bicubic,-10.554,-6.662,+37 -vit_small_patch16_384.augreg_in1k,69.310,30.690,89.020,10.980,22.20,384,1.000,bicubic,-11.810,-6.554,-51 -mobilevitv2_175,69.300,30.700,88.940,11.060,14.25,256,0.888,bicubic,-11.560,-6.314,-30 -vit_small_patch32_384.augreg_in21k_ft_in1k,69.290,30.710,89.820,10.180,22.92,384,1.000,bicubic,-11.190,-5.778,-11 -convnext_pico_ols.d1_in1k,69.240,30.760,88.830,11.170,9.06,288,1.000,bicubic,-11.224,-6.412,-9 -edgenext_small_rw,69.230,30.770,88.750,11.250,7.83,320,1.000,bicubic,-11.226,-6.442,-7 -efficientformer_l1,69.220,30.780,88.540,11.460,12.29,224,0.950,bicubic,-11.282,-6.458,-16 -vit_base_patch16_384.augreg_in1k,69.180,30.820,88.380,11.620,86.86,384,1.000,bicubic,-11.922,-6.952,-54 -gluon_xception65,69.160,30.840,88.090,11.910,39.92,299,0.903,bicubic,-10.556,-6.770,+39 -gluon_resnet152_v1c,69.140,30.860,87.870,12.130,60.21,224,0.875,bicubic,-10.770,-6.970,+26 -mixnet_xl.ra_in1k,69.100,30.900,88.310,11.690,11.90,224,0.875,bicubic,-11.376,-6.626,-17 -seresnet33ts,69.090,30.910,88.490,11.510,19.78,256,0.900,bicubic,-11.262,-6.616,-5 -tf_efficientnetv2_b2.in1k,69.090,30.910,88.220,11.780,10.10,260,0.890,bicubic,-11.118,-6.822,+9 -resnetv2_50,69.040,30.960,88.440,11.560,25.55,224,0.950,bicubic,-11.392,-6.640,-13 -gluon_resnet101_v1d,69.010,30.990,88.100,11.900,44.57,224,0.875,bicubic,-11.404,-6.914,-12 -repvgg_b2g4,69.000,31.000,88.360,11.640,61.76,224,0.875,bilinear,-10.366,-6.328,+52 -seresnet50,68.980,31.020,88.710,11.290,28.09,224,0.875,bicubic,-11.294,-6.360,-2 -gcresnet33ts,68.980,31.020,88.470,11.530,19.88,256,0.900,bicubic,-11.102,-6.528,+11 -gluon_resnext101_32x4d,68.960,31.040,88.360,11.640,44.18,224,0.875,bicubic,-11.374,-6.566,-10 -convnext_pico.d1_in1k,68.930,31.070,88.480,11.520,9.05,288,0.950,bicubic,-11.496,-6.578,-18 -tf_efficientnet_b2.ap_in1k,68.920,31.080,88.350,11.650,9.11,260,0.890,bicubic,-11.380,-6.678,-6 -cspdarknet53,68.890,31.110,88.600,11.400,27.64,256,0.887,bilinear,-11.168,-6.484,+8 -mobilevitv2_150,68.870,31.130,88.090,11.910,10.59,256,0.888,bicubic,-11.506,-6.970,-19 -regnety_120,68.850,31.150,88.330,11.670,51.82,224,0.875,bicubic,-11.516,-6.796,-18 -resnet50_gn,68.830,31.170,88.440,11.560,25.56,224,0.940,bicubic,-11.222,-6.506,+6 -gluon_resnet152_v1b,68.820,31.180,87.710,12.290,60.19,224,0.875,bicubic,-10.866,-7.026,+25 -eca_resnet33ts,68.810,31.190,88.580,11.420,19.68,256,0.900,bicubic,-11.268,-6.390,+2 -dpn131,68.770,31.230,87.470,12.530,79.25,224,0.875,bicubic,-11.052,-7.240,+15 -gmlp_s16_224,68.760,31.240,88.090,11.910,19.42,224,0.875,bicubic,-10.882,-6.508,+26 -darknetaa53,68.750,31.250,88.720,11.280,36.02,288,1.000,bilinear,-11.772,-6.602,-41 -tf_efficientnet_b2.aa_in1k,68.750,31.250,87.990,12.010,9.11,260,0.890,bicubic,-11.336,-6.918,-4 -resnext50d_32x4d,68.740,31.260,88.300,11.700,25.05,224,0.875,bicubic,-10.936,-6.566,+21 -poolformer_s24,68.740,31.260,88.220,11.780,21.39,224,0.900,bicubic,-11.576,-6.818,-21 -resnet50,68.730,31.270,87.690,12.310,25.56,224,0.950,bicubic,-11.644,-6.924,-29 -deit_small_patch16_224,68.720,31.280,88.200,11.800,22.05,224,0.900,bicubic,-11.136,-6.852,+4 -gluon_resnet101_v1s,68.710,31.290,87.910,12.090,44.67,224,0.875,bicubic,-11.592,-7.250,-23 -dpn107,68.690,31.310,88.130,11.870,86.92,224,0.875,bicubic,-11.466,-6.780,-12 -gluon_seresnext50_32x4d,68.670,31.330,88.310,11.690,27.56,224,0.875,bicubic,-11.248,-6.512,-4 -hrnet_w64,68.640,31.360,88.050,11.950,128.06,224,0.875,bilinear,-10.834,-6.602,+24 -dpn98,68.590,31.410,87.680,12.320,61.57,224,0.875,bicubic,-11.052,-6.948,+16 -xcit_tiny_12_p8_224,68.560,31.440,88.680,11.320,6.71,224,1.000,bicubic,-11.134,-6.372,+9 -regnetx_160,68.530,31.470,88.450,11.550,54.28,224,0.875,bicubic,-11.326,-6.380,-2 -cspresnet50,68.460,31.540,88.010,11.990,21.62,256,0.887,bilinear,-11.114,-6.702,+15 -rexnet_130,68.450,31.550,88.040,11.960,7.56,224,0.875,bicubic,-11.050,-6.642,+16 -xcit_tiny_24_p16_224,68.430,31.570,88.290,11.710,12.12,224,1.000,bicubic,-11.014,-6.592,+21 -ecaresnet50d_pruned,68.420,31.580,88.370,11.630,19.94,224,0.875,bicubic,-11.296,-6.510,+1 -tf_efficientnet_el.in1k,68.420,31.580,88.210,11.790,10.59,300,0.904,bicubic,-11.830,-6.918,-30 -cait_xxs36_224,68.410,31.590,88.630,11.370,17.30,224,1.000,bicubic,-11.340,-6.236,-2 -ssl_resnet50,68.410,31.590,88.560,11.440,25.56,224,0.875,bilinear,-10.812,-6.272,+33 -skresnext50_32x4d,68.350,31.650,87.570,12.430,27.48,224,0.875,bicubic,-11.806,-7.072,-24 -fbnetv3_d.ra2_in1k,68.330,31.670,88.450,11.550,10.31,256,0.950,bilinear,-11.350,-6.494,+1 -dla102x2,68.330,31.670,87.890,12.110,41.28,224,0.875,bilinear,-11.118,-6.750,+14 -efficientnet_b2_pruned.in1k,68.320,31.680,88.100,11.900,8.31,260,0.890,bicubic,-11.596,-6.756,-18 -resmlp_big_24_224,68.320,31.680,87.520,12.480,129.14,224,0.875,bicubic,-12.708,-7.502,-95 -gluon_resnext50_32x4d,68.310,31.690,87.300,12.700,25.03,224,0.875,bicubic,-11.044,-7.126,+14 -vit_base_patch16_224.sam,68.280,31.720,87.720,12.280,86.57,224,0.900,bicubic,-11.962,-7.036,-37 -ecaresnet26t,68.230,31.770,88.790,11.210,16.01,320,0.950,bicubic,-11.624,-6.294,-16 -tf_efficientnet_lite3.in1k,68.230,31.770,87.740,12.260,8.20,300,0.904,bilinear,-11.590,-7.174,-14 -ese_vovnet39b,68.210,31.790,88.240,11.760,24.57,224,0.875,bicubic,-11.110,-6.472,+11 -fbnetv3_b.ra2_in1k,68.180,31.820,87.930,12.070,8.60,256,0.950,bilinear,-10.970,-6.816,+29 -regnetx_120,68.150,31.850,87.660,12.340,46.11,224,0.875,bicubic,-11.446,-7.078,-4 -resmlp_36_224,68.080,31.920,88.190,11.810,44.69,224,0.875,bicubic,-11.690,-6.696,-17 -resnetrs50,68.030,31.970,87.710,12.290,35.69,224,0.910,bicubic,-11.862,-7.258,-26 -pit_xs_distilled_224,68.020,31.980,87.720,12.280,11.00,224,0.900,bicubic,-11.286,-6.644,+10 -dpn92,67.990,32.010,87.580,12.420,37.67,224,0.875,bicubic,-12.018,-7.256,-33 -nf_regnet_b1,67.960,32.040,88.200,11.800,10.22,288,0.900,bicubic,-11.332,-6.548,+10 -gluon_resnet50_v1d,67.940,32.060,87.130,12.870,25.58,224,0.875,bicubic,-11.134,-7.340,+27 -resnetv2_50x1_bitm,67.920,32.080,89.300,10.700,25.55,448,1.000,bilinear,-12.422,-6.384,-60 -levit_192,67.900,32.100,87.890,12.110,10.95,224,0.900,bicubic,-11.942,-6.896,-27 -tf_efficientnetv2_b1.in1k,67.890,32.110,87.800,12.200,8.14,240,0.882,bicubic,-11.572,-6.922,-6 -regnetx_080,67.880,32.120,86.990,13.010,39.57,224,0.875,bicubic,-11.314,-7.570,+16 -resnext101_32x8d,67.860,32.140,87.490,12.510,88.79,224,0.875,bilinear,-11.448,-7.028,-1 -efficientnet_em.ra2_in1k,67.840,32.160,88.120,11.880,6.90,240,0.882,bicubic,-11.412,-6.674,+8 -legacy_seresnext50_32x4d,67.840,32.160,87.620,12.380,27.56,224,0.875,bilinear,-11.238,-6.816,+19 -lambda_resnet26t,67.810,32.190,87.780,12.220,10.96,256,0.940,bicubic,-11.286,-6.812,+16 -resmlp_24_224,67.810,32.190,87.610,12.390,30.02,224,0.875,bicubic,-11.564,-6.936,-9 -hrnet_w48,67.770,32.230,87.420,12.580,77.47,224,0.875,bilinear,-11.530,-7.092,-2 -hrnet_w44,67.740,32.260,87.560,12.440,67.06,224,0.875,bilinear,-11.156,-6.808,+25 -coat_lite_mini,67.720,32.280,87.700,12.300,11.01,224,0.900,bicubic,-11.368,-6.904,+13 -tf_efficientnet_b0.ns_jft_in1k,67.710,32.290,88.070,11.930,5.29,224,0.875,bicubic,-10.948,-6.306,+37 -regnetx_064,67.680,32.320,87.520,12.480,26.21,224,0.875,bicubic,-11.392,-6.938,+13 -eca_botnext26ts_256,67.680,32.320,87.060,12.940,10.59,256,0.950,bicubic,-11.594,-7.554,-2 -convnext_femto_ols.d1_in1k,67.670,32.330,87.380,12.620,5.23,288,0.950,bicubic,-11.264,-7.152,+17 -xception,67.650,32.350,87.570,12.430,22.86,299,0.897,bicubic,-11.402,-6.822,+12 -dpn68b,67.630,32.370,87.670,12.330,12.61,224,0.875,bicubic,-11.586,-6.744,-2 -halonet26t,67.620,32.380,87.250,12.750,12.48,256,0.950,bicubic,-11.480,-7.062,+4 -dla169,67.610,32.390,87.590,12.410,53.39,224,0.875,bilinear,-11.078,-6.746,+28 -gluon_inception_v3,67.590,32.410,87.470,12.530,23.83,299,0.875,bicubic,-11.216,-6.900,+19 -gluon_resnet101_v1c,67.580,32.420,87.180,12.820,44.57,224,0.875,bicubic,-11.954,-7.398,-30 -res2net50_26w_8s,67.570,32.430,87.280,12.720,48.40,224,0.875,bilinear,-11.630,-7.088,-5 -hrnet_w40,67.560,32.440,87.140,12.860,57.56,224,0.875,bilinear,-11.360,-7.330,+10 -tf_efficientnet_b1.ap_in1k,67.520,32.480,87.760,12.240,7.79,240,0.882,bicubic,-11.760,-6.546,-15 -legacy_seresnet152,67.520,32.480,87.390,12.610,66.82,224,0.875,bilinear,-11.140,-6.980,+24 -mobilevitv2_125,67.470,32.530,87.570,12.430,7.48,256,0.888,bicubic,-12.214,-7.280,-44 -efficientnet_b1.ft_in1k,67.470,32.530,87.510,12.490,7.79,256,1.000,bicubic,-11.324,-6.832,+13 -eca_halonext26ts,67.470,32.530,87.230,12.770,10.76,256,0.940,bicubic,-12.016,-7.368,-33 -gluon_resnet101_v1b,67.460,32.540,87.240,12.760,44.55,224,0.875,bicubic,-11.846,-7.284,-24 -tf_efficientnet_cc_b1_8e.in1k,67.450,32.550,87.310,12.690,39.72,240,0.882,bicubic,-11.858,-7.060,-26 -res2net101_26w_4s,67.440,32.560,87.010,12.990,45.21,224,0.875,bilinear,-11.758,-7.422,-13 -resnetblur50,67.430,32.570,87.440,12.560,25.56,224,0.875,bicubic,-11.856,-7.198,-23 -resnet33ts,67.370,32.630,87.580,12.420,19.68,256,0.900,bicubic,-11.844,-6.994,-17 -cait_xxs24_224,67.330,32.670,87.510,12.490,11.96,224,1.000,bicubic,-11.056,-6.800,+29 -regnetx_032,67.290,32.710,87.000,13.000,15.30,224,0.875,bicubic,-10.882,-7.088,+40 -coat_tiny,67.250,32.750,87.340,12.660,5.50,224,0.900,bicubic,-11.184,-6.698,+24 -xception41,67.250,32.750,87.200,12.800,26.97,299,0.903,bicubic,-11.266,-7.078,+15 -convnext_femto.d1_in1k,67.200,32.800,87.510,12.490,5.22,288,0.950,bicubic,-11.504,-6.924,+7 -resnest26d,67.200,32.800,87.170,12.830,17.07,224,0.875,bilinear,-11.278,-7.128,+17 -repvgg_b2,67.160,32.840,87.330,12.670,89.02,224,0.875,bilinear,-11.632,-7.084,0 -legacy_seresnet101,67.160,32.840,87.060,12.940,49.33,224,0.875,bilinear,-11.222,-7.204,+24 -vit_relpos_base_patch32_plus_rpn_256.sw_in1k,67.140,32.860,86.490,13.510,119.42,256,0.900,bicubic,-12.340,-7.648,-48 -botnet26t_256,67.130,32.870,87.550,12.450,12.49,256,0.950,bicubic,-12.142,-6.978,-31 -dla60x,67.100,32.900,87.190,12.810,17.35,224,0.875,bilinear,-11.146,-6.828,+25 -gluon_resnet50_v1s,67.060,32.940,86.860,13.140,25.68,224,0.875,bicubic,-11.652,-7.378,-1 -tv_resnet152,67.050,32.950,87.550,12.450,60.19,224,0.875,bilinear,-11.262,-6.488,+22 -xcit_tiny_12_p16_224_dist,67.020,32.980,87.400,12.600,6.72,224,1.000,bicubic,-11.558,-6.796,+2 -dla60_res2net,67.020,32.980,87.160,12.840,20.85,224,0.875,bilinear,-11.444,-7.046,+10 -dla102x,67.010,32.990,86.770,13.230,26.31,224,0.875,bilinear,-11.500,-7.458,+4 -lambda_resnet26rpt_256,66.960,33.040,87.130,12.870,10.99,256,0.940,bicubic,-12.010,-7.300,-19 -mixnet_l.ft_in1k,66.940,33.060,86.910,13.090,7.33,224,0.875,bicubic,-12.036,-7.272,-21 -pit_xs_224,66.920,33.080,87.280,12.720,10.62,224,0.900,bicubic,-11.262,-6.888,+22 -pvt_v2_b1,66.910,33.090,87.430,12.570,14.01,224,0.900,bicubic,-11.784,-7.062,-7 -res2net50_26w_6s,66.910,33.090,86.860,13.140,37.05,224,0.875,bilinear,-11.660,-7.264,-3 -repvgg_b1,66.900,33.100,86.780,13.220,57.42,224,0.875,bilinear,-11.466,-7.318,+10 -xcit_nano_12_p8_384_dist,66.880,33.120,87.110,12.890,3.05,384,1.000,bicubic,-10.940,-6.926,+37 -tf_efficientnet_b1.aa_in1k,66.880,33.120,87.010,12.990,7.79,240,0.882,bicubic,-11.946,-7.188,-19 -efficientnet_es.ra_in1k,66.880,33.120,86.730,13.270,5.44,224,0.875,bicubic,-11.186,-7.196,+24 -mobilevit_s,66.870,33.130,87.060,12.940,5.58,256,0.900,bicubic,-11.442,-7.086,+8 -resnet32ts,66.860,33.140,87.250,12.750,17.96,256,0.900,bicubic,-12.144,-7.106,-31 -regnetx_040,66.840,33.160,86.730,13.270,22.12,224,0.875,bicubic,-11.642,-7.514,-6 -hrnet_w30,66.780,33.220,86.800,13.200,37.71,224,0.875,bilinear,-11.426,-7.422,+11 -tf_mixnet_l.in1k,66.780,33.220,86.470,13.530,7.33,224,0.875,bicubic,-11.994,-7.528,-21 -selecsls60b,66.760,33.240,86.530,13.470,32.77,224,0.875,bicubic,-11.652,-7.644,-2 -hrnet_w32,66.750,33.250,87.300,12.700,41.23,224,0.875,bilinear,-11.700,-6.886,-7 -wide_resnet101_2,66.730,33.270,87.030,12.970,126.89,224,0.875,bilinear,-12.126,-7.252,-30 -vit_small_patch16_224.augreg_in1k,66.710,33.290,86.710,13.290,22.05,224,0.900,bicubic,-12.136,-7.574,-30 -tf_efficientnetv2_b0.in1k,66.700,33.300,86.710,13.290,7.14,224,0.875,bicubic,-11.656,-7.314,-2 -adv_inception_v3,66.650,33.350,86.530,13.470,23.83,299,0.875,bicubic,-10.932,-7.206,+36 -dla60_res2next,66.640,33.360,87.030,12.970,17.03,224,0.875,bilinear,-11.800,-7.122,-11 -vit_tiny_patch16_384.augreg_in21k_ft_in1k,66.610,33.390,87.260,12.740,5.79,384,1.000,bicubic,-11.820,-7.282,-11 -mobilevitv2_100,66.610,33.390,87.000,13.000,4.90,256,0.888,bicubic,-11.480,-7.164,+8 -cs3darknet_m,66.570,33.430,87.160,12.840,9.31,288,0.950,bicubic,-11.066,-6.854,+27 -gluon_resnet50_v1c,66.560,33.440,86.180,13.820,25.58,224,0.875,bicubic,-11.452,-7.808,+9 -levit_128,66.550,33.450,86.750,13.250,9.21,224,0.900,bicubic,-11.936,-7.260,-21 -dla102,66.540,33.460,86.910,13.090,33.27,224,0.875,bilinear,-11.492,-7.036,+6 -vit_base_patch16_224.augreg_in1k,66.490,33.510,86.250,13.750,86.57,224,0.900,bicubic,-12.664,-7.850,-57 -vit_base_patch32_384.augreg_in1k,66.420,33.580,86.950,13.050,88.30,384,1.000,bicubic,-12.340,-7.278,-36 -gmixer_24_224,66.420,33.580,86.150,13.850,24.72,224,0.875,bicubic,-11.616,-7.514,+3 -tf_inception_v3,66.410,33.590,86.660,13.340,23.83,299,0.875,bicubic,-11.450,-6.980,+13 -bat_resnext26ts,66.400,33.600,86.830,13.170,10.73,256,0.900,bicubic,-11.842,-7.270,-10 -hardcorenas_f,66.370,33.630,86.200,13.800,8.20,224,0.875,bilinear,-11.734,-7.602,-4 -coat_lite_tiny,66.290,33.710,86.980,13.020,5.72,224,0.900,bicubic,-11.222,-6.936,+25 -efficientnet_b0.ra_in1k,66.290,33.710,85.960,14.040,5.29,224,0.875,bicubic,-11.408,-7.572,+14 -cs3darknet_focus_m,66.260,33.740,87.090,12.910,9.30,288,0.950,bicubic,-11.018,-6.880,+33 -legacy_seresnet50,66.250,33.750,86.330,13.670,28.09,224,0.875,bilinear,-11.380,-7.418,+15 -selecsls60,66.210,33.790,86.340,13.660,30.67,224,0.875,bicubic,-11.772,-7.488,-2 -tf_efficientnet_em.in1k,66.180,33.820,86.360,13.640,6.90,240,0.882,bicubic,-11.950,-7.684,-11 -tv_resnext50_32x4d,66.180,33.820,86.040,13.960,25.03,224,0.875,bilinear,-11.440,-7.656,+13 -tf_efficientnet_cc_b0_8e.in1k,66.170,33.830,86.240,13.760,24.01,224,0.875,bicubic,-11.738,-7.414,-1 -inception_v3,66.150,33.850,86.330,13.670,23.83,299,0.875,bicubic,-11.290,-7.146,+20 -res2net50_26w_4s,66.140,33.860,86.600,13.400,25.70,224,0.875,bilinear,-11.824,-7.254,-6 -resmlp_12_distilled_224,66.130,33.870,86.630,13.370,15.35,224,0.875,bicubic,-11.814,-6.928,-6 -efficientnet_b1_pruned.in1k,66.090,33.910,86.570,13.430,6.33,240,0.882,bicubic,-12.146,-7.264,-22 -rexnet_100,66.070,33.930,86.490,13.510,4.80,224,0.875,bicubic,-11.788,-7.380,-2 -gluon_resnet50_v1b,66.070,33.930,86.260,13.740,25.56,224,0.875,bicubic,-11.510,-7.456,+11 -regnety_016,66.060,33.940,86.380,13.620,11.20,224,0.875,bicubic,-11.802,-7.340,-5 -res2net50_14w_8s,66.020,33.980,86.250,13.750,25.06,224,0.875,bilinear,-12.130,-7.598,-22 -tinynet_a.in1k,66.010,33.990,85.790,14.210,6.19,192,0.875,bicubic,-11.642,-7.746,0 -gcresnext26ts,65.940,34.060,85.920,14.080,10.48,256,0.900,bicubic,-11.874,-7.914,-4 -seresnext26t_32x4d,65.880,34.120,85.680,14.320,16.81,224,0.875,bicubic,-12.106,-8.066,-17 -repvgg_b1g4,65.850,34.150,86.120,13.880,39.97,224,0.875,bilinear,-11.744,-7.706,+2 -res2next50,65.850,34.150,85.840,14.160,24.67,224,0.875,bilinear,-12.396,-8.052,-33 -densenet161,65.840,34.160,86.450,13.550,28.68,224,0.875,bicubic,-11.518,-7.188,+10 -hardcorenas_e,65.840,34.160,85.980,14.020,8.07,224,0.875,bilinear,-11.954,-7.714,-8 -resnet34d,65.780,34.220,86.710,13.290,21.82,224,0.875,bicubic,-11.336,-6.672,+18 -xcit_tiny_12_p16_224,65.780,34.220,86.220,13.780,6.72,224,1.000,bicubic,-11.340,-7.492,+16 -eca_resnext26ts,65.760,34.240,85.840,14.160,10.30,256,0.900,bicubic,-11.692,-7.726,+2 -mobilenetv3_large_100.miil_in21k_ft_in1k,65.760,34.240,85.200,14.800,5.48,224,0.875,bilinear,-12.156,-7.710,-21 -skresnet34,65.750,34.250,85.960,14.040,22.28,224,0.875,bicubic,-11.162,-7.362,+25 -tv_resnet101,65.690,34.310,85.980,14.020,44.55,224,0.875,bilinear,-11.684,-7.560,+2 -convnext_tiny.fb_in22k_ft_in1k,65.680,34.320,86.610,13.390,28.59,288,1.000,bicubic,-13.228,-8.064,-78 -seresnext26ts,65.660,34.340,86.140,13.860,10.39,256,0.900,bicubic,-12.206,-7.650,-22 -hardcorenas_d,65.630,34.370,85.460,14.540,7.50,224,0.875,bilinear,-11.802,-8.024,-2 -convnext_atto_ols.a2_in1k,65.610,34.390,86.260,13.740,3.70,288,0.950,bicubic,-11.606,-7.420,+6 -selecsls42b,65.610,34.390,85.810,14.190,32.46,224,0.875,bicubic,-11.564,-7.580,+6 -poolformer_s12,65.600,34.400,86.130,13.870,11.92,224,0.900,bicubic,-11.630,-7.374,+3 -tf_efficientnet_b0.ap_in1k,65.490,34.510,85.580,14.420,5.29,224,0.875,bicubic,-11.596,-7.676,+8 -seresnext26d_32x4d,65.410,34.590,85.970,14.030,16.81,224,0.875,bicubic,-12.192,-7.638,-17 -convmixer_1024_20_ks9_p14,65.410,34.590,85.590,14.410,24.38,224,0.960,bicubic,-11.536,-7.768,+13 -resnet26t,65.400,34.600,86.110,13.890,16.01,256,0.940,bicubic,-12.482,-7.730,-31 -tf_efficientnet_lite2.in1k,65.380,34.620,85.990,14.010,6.09,260,0.890,bicubic,-12.088,-7.764,-13 -res2net50_48w_2s,65.350,34.650,85.960,14.040,25.29,224,0.875,bilinear,-12.172,-7.594,-16 -densenet201,65.290,34.710,85.690,14.310,20.01,224,0.875,bicubic,-11.996,-7.788,-8 -densenetblur121d,65.280,34.720,85.710,14.290,8.00,224,0.875,bicubic,-11.308,-7.482,+20 -dla60,65.200,34.800,85.760,14.240,22.04,224,0.875,bilinear,-11.832,-7.558,+2 -crossvit_9_dagger_240,65.190,34.810,86.600,13.400,8.78,240,0.875,bicubic,-11.790,-7.010,+3 -ese_vovnet19b_dw,65.190,34.810,85.470,14.530,6.54,224,0.875,bicubic,-11.608,-7.798,+9 -tf_efficientnet_cc_b0_4e.in1k,65.150,34.850,85.160,14.840,13.31,224,0.875,bicubic,-12.156,-8.174,-14 -gernet_s,65.120,34.880,85.510,14.490,8.17,224,0.875,bilinear,-11.796,-7.622,+4 -legacy_seresnext26_32x4d,65.050,34.950,85.660,14.340,16.79,224,0.875,bicubic,-12.054,-7.656,-6 -mobilenetv2_120d.ra_in1k,65.030,34.970,85.960,14.040,5.83,224,0.875,bicubic,-12.254,-7.532,-15 -convnext_atto.d2_in1k,64.940,35.060,86.230,13.770,3.70,288,0.950,bicubic,-12.074,-7.470,-4 -hrnet_w18,64.920,35.080,85.740,14.260,21.30,224,0.875,bilinear,-11.838,-7.704,+5 -hardcorenas_c,64.860,35.140,85.250,14.750,5.52,224,0.875,bilinear,-12.194,-7.908,-8 -densenet169,64.760,35.240,85.240,14.760,14.15,224,0.875,bicubic,-11.146,-7.786,+22 -mixnet_m.ft_in1k,64.700,35.300,85.450,14.550,5.01,224,0.875,bicubic,-12.560,-7.974,-18 -resnet26d,64.680,35.320,85.120,14.880,16.01,224,0.875,bicubic,-12.016,-8.030,+2 -levit_128s,64.610,35.390,84.730,15.270,7.78,224,0.900,bicubic,-11.920,-8.136,+8 -resnext26ts,64.590,35.410,85.110,14.890,10.30,256,0.900,bicubic,-12.190,-8.020,-2 -xcit_nano_12_p8_224_dist,64.520,35.480,85.980,14.020,3.05,224,1.000,bicubic,-11.804,-7.110,+9 -repvgg_a2,64.450,35.550,85.130,14.870,28.21,224,0.875,bilinear,-12.010,-7.874,+7 -xcit_nano_12_p16_384_dist,64.430,35.570,85.300,14.700,3.05,384,1.000,bicubic,-11.028,-7.394,+25 -hardcorenas_b,64.420,35.580,84.870,15.130,5.18,224,0.875,bilinear,-12.118,-7.884,+2 -regnetx_016,64.380,35.620,85.470,14.530,9.19,224,0.875,bicubic,-12.570,-7.950,-14 -tf_efficientnet_lite1.in1k,64.380,35.620,85.470,14.530,5.42,240,0.882,bicubic,-12.262,-7.756,-4 -resmlp_12_224,64.350,35.650,85.580,14.420,15.35,224,0.875,bicubic,-12.304,-7.600,-6 -tf_efficientnet_b0.aa_in1k,64.310,35.690,85.280,14.720,5.29,224,0.875,bicubic,-12.538,-7.948,-12 -tf_mixnet_m.in1k,64.270,35.730,85.090,14.910,5.01,224,0.875,bicubic,-12.672,-8.062,-16 -dpn68,64.230,35.770,85.180,14.820,12.61,224,0.875,bicubic,-12.088,-7.798,+1 -tf_efficientnet_es.in1k,64.230,35.770,84.740,15.260,5.44,224,0.875,bicubic,-12.364,-8.462,-7 -regnety_008,64.160,35.840,85.270,14.730,6.26,224,0.875,bicubic,-12.156,-7.796,0 -vit_small_patch32_224.augreg_in21k_ft_in1k,64.070,35.930,85.560,14.440,22.88,224,0.900,bicubic,-11.920,-7.712,+2 -mobilenetv2_140.ra_in1k,64.060,35.940,85.040,14.960,6.11,224,0.875,bicubic,-12.456,-7.956,-6 -densenet121,63.750,36.250,84.590,15.410,7.98,224,0.875,bicubic,-11.828,-8.062,+9 -hardcorenas_a,63.710,36.290,84.400,15.600,5.26,224,0.875,bilinear,-12.206,-8.114,+1 -mobilevitv2_075,63.590,36.410,84.960,15.040,2.87,256,0.888,bicubic,-12.032,-7.808,+6 -resnest14d,63.590,36.410,84.250,15.750,10.61,224,0.875,bilinear,-11.916,-8.268,+8 -tf_mixnet_s.in1k,63.560,36.440,84.270,15.730,4.13,224,0.875,bicubic,-12.090,-8.358,+2 -resnet26,63.470,36.530,84.260,15.740,16.00,224,0.875,bicubic,-11.822,-8.310,+11 -mixnet_s.ft_in1k,63.390,36.610,84.740,15.260,4.13,224,0.875,bicubic,-12.602,-8.056,-7 -mobilenetv3_large_100.ra_in1k,63.360,36.640,84.090,15.910,5.48,224,0.875,bicubic,-12.406,-8.452,-3 -vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k,63.340,36.660,85.280,14.720,6.36,384,1.000,bicubic,-12.612,-7.980,-7 -efficientnet_es_pruned.in1k,63.330,36.670,84.950,15.050,5.44,224,0.875,bicubic,-11.670,-7.498,+15 -tv_resnet50,63.330,36.670,84.640,15.360,25.56,224,0.875,bilinear,-12.808,-8.224,-12 -mixer_b16_224,63.270,36.730,83.310,16.690,59.88,224,0.875,bicubic,-13.330,-8.918,-23 -efficientnet_lite0.ra_in1k,63.240,36.760,84.440,15.560,4.65,224,0.875,bicubic,-12.244,-8.070,0 -mobilenetv3_rw.rmsp_in1k,63.220,36.780,84.510,15.490,5.48,224,0.875,bicubic,-12.414,-8.198,-6 -semnasnet_100.rmsp_in1k,63.150,36.850,84.520,15.480,3.89,224,0.875,bicubic,-12.298,-8.084,0 -pit_ti_distilled_224,63.150,36.850,83.960,16.040,5.10,224,0.900,bicubic,-11.380,-8.136,+20 -vit_tiny_patch16_224.augreg_in21k_ft_in1k,63.110,36.890,84.850,15.150,5.72,224,0.900,bicubic,-12.344,-7.998,-3 -regnety_006,63.110,36.890,84.250,15.750,6.06,224,0.875,bicubic,-12.136,-8.282,+1 -mobilevit_xs,62.940,37.060,84.840,15.160,2.32,256,0.900,bicubic,-11.704,-7.512,+13 -tv_densenet121,62.940,37.060,84.250,15.750,7.98,224,0.875,bicubic,-11.798,-7.900,+10 -resnet34,62.870,37.130,84.140,15.860,21.80,224,0.875,bilinear,-12.240,-8.144,+1 -legacy_seresnet34,62.850,37.150,84.210,15.790,21.96,224,0.875,bilinear,-11.958,-7.914,+7 -mobilenetv2_110d.ra_in1k,62.830,37.170,84.500,15.500,4.52,224,0.875,bicubic,-12.206,-7.686,+1 -edgenext_x_small,62.820,37.180,84.680,15.320,2.34,288,1.000,bicubic,-12.868,-8.086,-18 -deit_tiny_distilled_patch16_224,62.810,37.190,83.930,16.070,5.91,224,0.900,bicubic,-11.700,-7.960,+11 -hrnet_w18_small_v2,62.800,37.200,83.980,16.020,15.60,224,0.875,bilinear,-12.314,-8.436,-5 -swsl_resnet18,62.760,37.240,84.300,15.700,11.69,224,0.875,bilinear,-10.516,-7.434,+22 -tinynet_b.in1k,62.730,37.270,84.250,15.750,3.73,188,0.875,bicubic,-12.244,-7.938,-2 -repvgg_b0,62.720,37.280,83.860,16.140,15.82,224,0.875,bilinear,-12.432,-8.558,-10 -gluon_resnet34_v1b,62.570,37.430,83.990,16.010,21.80,224,0.875,bicubic,-12.018,-8.000,+4 -xcit_nano_12_p8_224,62.560,37.440,84.200,15.800,3.05,224,1.000,bicubic,-11.354,-7.972,+11 -tf_efficientnet_lite0.in1k,62.550,37.450,84.220,15.780,4.65,224,0.875,bicubic,-12.280,-7.956,-4 -regnetx_008,62.490,37.510,84.020,15.980,7.26,224,0.875,bicubic,-12.548,-8.316,-10 -dla34,62.480,37.520,83.910,16.090,15.74,224,0.875,bilinear,-12.150,-8.168,-1 -tf_mobilenetv3_large_100.in1k,62.460,37.540,83.970,16.030,5.48,224,0.875,bilinear,-13.058,-8.636,-24 -fbnetc_100.rmsp_in1k,62.440,37.560,83.380,16.620,5.57,224,0.875,bilinear,-12.684,-9.006,-16 -crossvit_9_240,62.260,37.740,84.270,15.730,8.55,240,0.875,bicubic,-11.704,-7.698,+4 -crossvit_tiny_240,62.070,37.930,83.600,16.400,7.01,240,0.875,bicubic,-11.254,-8.316,+9 -mnasnet_100.rmsp_in1k,61.900,38.100,83.710,16.290,4.38,224,0.875,bicubic,-12.758,-8.404,-8 -regnety_004,61.870,38.130,83.430,16.570,4.34,224,0.875,bicubic,-12.164,-8.322,-1 -vgg19_bn,61.860,38.140,83.450,16.550,143.68,224,0.875,bilinear,-12.354,-8.392,-4 -convit_tiny,61.590,38.410,84.120,15.880,5.71,224,0.875,bicubic,-11.526,-7.594,+8 -ssl_resnet18,61.480,38.520,83.300,16.700,11.69,224,0.875,bilinear,-11.130,-8.116,+12 -regnetx_006,61.350,38.650,83.450,16.550,6.20,224,0.875,bicubic,-12.502,-8.222,-1 -spnasnet_100.rmsp_in1k,61.220,38.780,82.790,17.210,4.42,224,0.875,bilinear,-12.864,-9.028,-7 -tv_resnet34,61.190,38.810,82.710,17.290,21.80,224,0.875,bilinear,-12.122,-8.716,+2 -vit_base_patch32_224.augreg_in1k,61.050,38.950,82.740,17.260,88.22,224,0.900,bicubic,-13.854,-9.038,-20 -pit_ti_224,60.980,39.020,83.860,16.140,4.85,224,0.900,bicubic,-11.932,-7.542,+6 -skresnet18,60.860,39.140,82.880,17.120,11.96,224,0.875,bicubic,-12.178,-8.288,+2 -ghostnet_100,60.830,39.170,82.360,17.640,5.18,224,0.875,bilinear,-13.148,-9.096,-10 -vgg16_bn,60.760,39.240,82.950,17.050,138.37,224,0.875,bilinear,-12.590,-8.556,-5 -semnasnet_075.rmsp_in1k,60.710,39.290,82.510,17.490,2.91,224,0.875,bicubic,-12.264,-8.626,0 -tf_mobilenetv3_large_075.in1k,60.400,39.600,81.950,18.050,3.99,224,0.875,bilinear,-13.038,-9.400,-8 -xcit_nano_12_p16_224_dist,60.240,39.760,82.490,17.510,3.05,224,1.000,bicubic,-12.062,-8.372,+6 -mobilenetv2_100.ra_in1k,60.190,39.810,82.240,17.760,3.50,224,0.875,bicubic,-12.780,-8.776,-2 -resnet18d,60.160,39.840,82.300,17.700,11.71,224,0.875,bicubic,-12.100,-8.396,+5 -vit_base_patch32_224.sam,60.010,39.990,81.230,18.770,88.22,224,0.900,bicubic,-13.680,-9.784,-13 -deit_tiny_patch16_224,59.830,40.170,82.670,17.330,5.72,224,0.900,bicubic,-12.338,-8.448,+5 -legacy_seresnet18,59.800,40.200,81.690,18.310,11.78,224,0.875,bicubic,-11.944,-8.644,+9 -vgg19,59.710,40.290,81.450,18.550,143.67,224,0.875,bilinear,-12.658,-9.422,-3 -regnetx_004,59.410,40.590,81.690,18.310,5.16,224,0.875,bicubic,-12.986,-9.140,-5 -edgenext_xx_small,59.390,40.610,81.820,18.180,1.33,288,1.000,bicubic,-12.476,-8.724,+4 -vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k,59.070,40.930,81.760,18.240,6.34,224,0.900,bicubic,-12.718,-9.068,+3 -tf_mobilenetv3_large_minimal_100.in1k,59.070,40.930,81.150,18.850,3.92,224,0.875,bilinear,-13.178,-9.480,-1 -vgg13_bn,59.000,41.000,81.070,18.930,133.05,224,0.875,bilinear,-12.594,-9.312,+5 -hrnet_w18_small,58.950,41.050,81.340,18.660,13.19,224,0.875,bilinear,-13.392,-9.338,-7 -lcnet_100.ra2_in1k,58.870,41.130,81.180,18.820,2.95,224,0.875,bicubic,-13.244,-9.198,-3 -vgg16,58.830,41.170,81.660,18.340,138.36,224,0.875,bilinear,-12.764,-8.716,+1 -pvt_v2_b0,58.760,41.240,82.130,17.870,3.67,224,0.900,bicubic,-11.896,-8.078,+4 -xcit_nano_12_p16_224,58.350,41.650,80.880,19.120,3.05,224,1.000,bicubic,-11.604,-8.874,+7 -gluon_resnet18_v1b,58.340,41.660,80.970,19.030,11.69,224,0.875,bicubic,-12.496,-8.790,+1 -tinynet_c.in1k,58.170,41.830,80.280,19.720,2.46,184,0.875,bicubic,-13.062,-9.468,-1 -resnet14t,57.800,42.200,79.920,20.080,10.08,224,0.950,bilinear,-14.550,-10.420,-15 -mobilevitv2_050,57.720,42.280,80.900,19.100,1.37,256,0.888,bicubic,-12.420,-9.026,+2 -vgg11_bn,57.410,42.590,80.020,19.980,132.87,224,0.875,bilinear,-12.950,-9.782,-1 -resnet18,57.170,42.830,80.200,19.800,11.69,224,0.875,bilinear,-12.578,-8.878,+2 -mobilevit_xxs,57.170,42.830,79.740,20.260,1.27,256,0.900,bicubic,-11.742,-9.198,+5 -vgg13,57.150,42.850,79.540,20.460,133.05,224,0.875,bilinear,-12.776,-9.706,0 -regnety_002,57.000,43.000,79.840,20.160,3.16,224,0.875,bicubic,-13.252,-9.700,-4 -mixer_l16_224,56.690,43.310,75.990,24.010,208.20,224,0.875,bicubic,-15.368,-11.678,-15 -regnetx_002,56.050,43.950,79.210,20.790,2.68,224,0.875,bicubic,-12.712,-9.346,+2 -dla60x_c,56.000,44.000,78.930,21.070,1.32,224,0.875,bilinear,-11.892,-9.496,+4 -vgg11,55.800,44.200,78.830,21.170,132.86,224,0.875,bilinear,-13.224,-9.798,-3 -resnet10t,55.670,44.330,78.020,21.980,5.44,224,0.950,bilinear,-12.624,-10.058,0 -lcnet_075.ra2_in1k,55.410,44.590,78.300,21.700,2.36,224,0.875,bicubic,-13.408,-10.070,-3 -mobilenetv3_small_100.lamb_in1k,54.700,45.300,77.770,22.230,2.54,224,0.875,bicubic,-12.952,-9.866,+1 -tf_mobilenetv3_small_100.in1k,54.530,45.470,77.060,22.940,2.54,224,0.875,bilinear,-13.392,-10.604,-2 -tinynet_d.in1k,53.420,46.580,76.350,23.650,2.34,152,0.875,bicubic,-13.542,-10.716,0 -mnasnet_small.lamb_in1k,53.280,46.720,75.890,24.110,2.03,224,0.875,bicubic,-12.926,-10.618,0 -dla46x_c,53.050,46.950,76.870,23.130,1.07,224,0.875,bilinear,-12.920,-10.110,0 -mobilenetv2_050.lamb_in1k,52.850,47.150,75.440,24.560,1.97,224,0.875,bicubic,-13.092,-10.642,0 -tf_mobilenetv3_small_075.in1k,52.160,47.840,75.470,24.530,2.04,224,0.875,bilinear,-13.556,-10.660,0 -dla46_c,52.130,47.870,75.690,24.310,1.30,224,0.875,bilinear,-12.736,-10.602,+1 -mobilenetv3_small_075.lamb_in1k,51.900,48.100,74.730,25.270,2.04,224,0.875,bicubic,-13.346,-10.706,-1 -lcnet_050.ra2_in1k,49.990,50.010,73.450,26.550,1.88,224,0.875,bicubic,-13.110,-10.930,0 -tf_mobilenetv3_small_minimal_100.in1k,49.500,50.500,73.050,26.950,2.04,224,0.875,bilinear,-13.406,-11.180,0 -tinynet_e.in1k,46.700,53.300,70.360,29.640,2.04,106,0.875,bicubic,-13.156,-11.402,0 -mobilenetv3_small_050.lamb_in1k,44.890,55.110,67.670,32.330,1.59,224,0.875,bicubic,-13.000,-12.524,0 +eva_giant_patch14_336.clip_ft_in1k,82.200,17.800,96.290,3.710,"1,013.01",336,1.000,bicubic,-7.266,-2.536,+6 +eva02_large_patch14_448.mim_in22k_ft_in1k,82.130,17.870,96.260,3.740,305.08,448,1.000,bicubic,-7.494,-2.690,+2 +eva02_large_patch14_448.mim_m38m_ft_in1k,82.130,17.870,96.160,3.840,305.08,448,1.000,bicubic,-7.440,-2.762,+2 +eva_giant_patch14_560.m30m_ft_in22k_in1k,82.040,17.960,96.440,3.560,"1,014.45",560,1.000,bicubic,-7.746,-2.552,-1 +eva02_large_patch14_448.mim_in22k_ft_in22k_in1k,81.900,18.100,96.150,3.850,305.08,448,1.000,bicubic,-8.066,-2.862,-3 +eva02_large_patch14_448.mim_m38m_ft_in22k_in1k,81.890,18.110,96.370,3.630,305.08,448,1.000,bicubic,-8.162,-2.678,-5 +eva_giant_patch14_336.m30m_ft_in22k_in1k,81.820,18.180,96.290,3.710,"1,013.01",336,1.000,bicubic,-7.746,-2.662,-1 +eva_giant_patch14_224.clip_ft_in1k,81.750,18.250,96.080,3.920,"1,012.56",224,0.900,bicubic,-7.130,-2.600,+1 +eva_large_patch14_336.in22k_ft_in1k,81.190,18.810,95.880,4.120,304.53,336,1.000,bicubic,-7.480,-2.842,+4 +eva_large_patch14_336.in22k_ft_in22k_in1k,80.930,19.070,96.010,3.990,304.53,336,1.000,bicubic,-8.278,-2.844,-2 +vit_large_patch14_clip_336.openai_ft_in12k_in1k,80.530,19.470,95.500,4.500,304.53,336,1.000,bicubic,-7.738,-3.026,+13 +regnety_1280.swag_ft_in1k,80.480,19.520,96.180,3.820,644.81,384,1.000,bicubic,-7.750,-2.506,+16 +tf_efficientnet_l2.ns_jft_in1k_475,80.470,19.530,95.730,4.270,480.31,475,0.936,bicubic,-7.764,-2.816,+14 +convnext_xxlarge.clip_laion2b_soup_ft_in1k,80.450,19.550,95.780,4.220,846.47,256,1.000,bicubic,-8.154,-2.928,0 +beitv2_large_patch16_224.in1k_ft_in22k_in1k,80.270,19.730,95.150,4.850,304.43,224,0.950,bicubic,-8.124,-3.448,+5 +tf_efficientnet_l2.ns_jft_in1k,80.250,19.750,95.860,4.140,480.31,800,0.960,bicubic,-8.102,-2.788,+5 +eva_large_patch14_196.in22k_ft_in22k_in1k,80.180,19.820,95.380,4.620,304.14,196,1.000,bicubic,-8.396,-3.278,0 +eva_large_patch14_196.in22k_ft_in1k,80.160,19.840,95.460,4.540,304.14,196,1.000,bicubic,-7.774,-3.038,+19 +maxvit_base_tf_512.in21k_ft_in1k,80.150,19.850,95.480,4.520,119.88,512,1.000,bicubic,-8.068,-3.048,+11 +maxvit_xlarge_tf_512.in21k_ft_in1k,80.100,19.900,95.480,4.520,475.77,512,1.000,bicubic,-8.438,-3.164,-2 +convnextv2_huge.fcmae_ft_in22k_in1k_512,79.990,20.010,95.900,4.100,660.29,512,1.000,bicubic,-8.868,-2.848,-11 +maxvit_large_tf_512.in21k_ft_in1k,79.970,20.030,95.160,4.840,212.33,512,1.000,bicubic,-8.256,-3.438,+7 +beit_large_patch16_512.in22k_ft_in22k_in1k,79.950,20.050,95.350,4.650,305.67,512,1.000,bicubic,-8.646,-3.306,-8 +convnextv2_huge.fcmae_ft_in22k_in1k_384,79.940,20.060,95.690,4.310,660.29,384,1.000,bicubic,-8.730,-3.048,-12 +maxvit_xlarge_tf_384.in21k_ft_in1k,79.710,20.290,95.160,4.840,475.32,384,1.000,bicubic,-8.604,-3.384,-3 +vit_large_patch14_clip_224.openai_ft_in1k,79.620,20.380,95.000,5.000,304.20,224,1.000,bicubic,-8.232,-3.426,+15 +maxvit_large_tf_384.in21k_ft_in1k,79.580,20.420,95.070,4.930,212.03,384,1.000,bicubic,-8.406,-3.498,+8 +eva02_base_patch14_448.mim_in22k_ft_in22k_in1k,79.520,20.480,95.200,4.800,87.12,448,1.000,bicubic,-9.172,-3.524,-17 +vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,79.520,20.480,95.000,5.000,632.46,336,1.000,bicubic,-9.072,-3.662,-13 +beit_large_patch16_384.in22k_ft_in22k_in1k,79.500,20.500,95.180,4.820,305.00,384,1.000,bicubic,-8.902,-3.428,-11 +vit_large_patch14_clip_224.openai_ft_in12k_in1k,79.400,20.600,95.070,4.930,304.20,224,1.000,bicubic,-8.776,-3.474,+2 +vit_huge_patch14_clip_224.laion2b_ft_in1k,79.370,20.630,94.920,5.080,632.05,224,1.000,bicubic,-8.218,-3.298,+16 +maxvit_base_tf_384.in21k_ft_in1k,79.340,20.660,95.080,4.920,119.65,384,1.000,bicubic,-8.582,-3.464,+5 +vit_large_patch14_clip_336.laion2b_ft_in1k,79.240,20.760,95.000,5.000,304.53,336,1.000,bicubic,-8.616,-3.368,+6 +vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k,79.200,20.800,95.120,4.880,632.05,224,1.000,bicubic,-9.056,-3.432,-10 +deit3_huge_patch14_224.fb_in22k_ft_in1k,79.190,20.810,94.870,5.130,632.13,224,1.000,bicubic,-7.996,-3.390,+26 +eva02_base_patch14_448.mim_in22k_ft_in1k,79.150,20.850,95.110,4.890,87.12,448,1.000,bicubic,-9.100,-3.454,-11 +deit3_large_patch16_384.fb_in22k_ft_in1k,79.080,20.920,94.870,5.130,304.76,384,1.000,bicubic,-8.640,-3.642,+7 +convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384,79.040,20.960,95.010,4.990,200.13,384,1.000,bicubic,-9.266,-3.572,-17 +caformer_b36.sail_in22k_ft_in1k_384,79.040,20.960,94.920,5.080,98.75,384,1.000,bicubic,-9.018,-3.662,-5 +vit_large_patch14_clip_336.laion2b_ft_in12k_in1k,78.980,21.020,94.890,5.110,304.53,336,1.000,bicubic,-9.198,-3.680,-9 +maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k,78.900,21.100,94.580,5.420,116.14,384,1.000,bicubic,-8.928,-3.792,+1 +beit_large_patch16_224.in22k_ft_in22k_in1k,78.830,21.170,94.610,5.390,304.43,224,0.900,bicubic,-8.648,-3.694,+7 +convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384,78.750,21.250,94.950,5.050,200.13,384,1.000,bicubic,-9.098,-3.496,-2 +beitv2_large_patch16_224.in1k_ft_in1k,78.730,21.270,94.230,5.770,304.43,224,0.950,bicubic,-8.682,-4.004,+11 +convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320,78.650,21.350,94.660,5.340,200.13,320,1.000,bicubic,-9.308,-3.816,-10 +deit3_large_patch16_224.fb_in22k_ft_in1k,78.630,21.370,94.720,5.280,304.37,224,1.000,bicubic,-8.352,-3.516,+25 +convnextv2_large.fcmae_ft_in22k_in1k_384,78.570,21.430,94.840,5.160,197.96,384,1.000,bicubic,-9.628,-3.688,-17 +tf_efficientnet_b7.ns_jft_in1k,78.530,21.470,94.370,5.630,66.35,600,0.949,bicubic,-8.310,-3.724,+29 +vit_large_patch14_clip_224.laion2b_ft_in12k_in1k,78.490,21.510,94.660,5.340,304.20,224,1.000,bicubic,-9.402,-3.750,-11 +vit_large_patch14_clip_224.laion2b_ft_in1k,78.450,21.550,94.580,5.420,304.20,224,1.000,bicubic,-8.832,-3.666,+9 +regnety_320.swag_ft_in1k,78.380,21.620,95.210,4.790,145.05,384,1.000,bicubic,-8.456,-3.152,+27 +coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k,78.240,21.760,94.350,5.650,73.88,384,1.000,bicubic,-9.142,-3.962,+4 +caformer_m36.sail_in22k_ft_in1k_384,78.170,21.830,94.180,5.820,56.20,384,1.000,bicubic,-9.280,-4.128,0 +caformer_b36.sail_in22k_ft_in1k,78.110,21.890,94.400,5.600,98.75,224,1.000,bicubic,-9.312,-3.926,0 +convnextv2_huge.fcmae_ft_in1k,78.060,21.940,94.060,5.940,660.29,288,1.000,bicubic,-8.520,-3.912,+35 +convformer_b36.sail_in22k_ft_in1k_384,78.040,21.960,94.170,5.830,99.88,384,1.000,bicubic,-9.562,-4.264,-10 +convnext_xlarge.fb_in22k_ft_in1k_384,77.990,22.010,94.480,5.520,350.20,384,1.000,bicubic,-9.762,-4.076,-14 +volo_d5_512.sail_in1k,77.970,22.030,94.160,5.840,296.09,512,1.150,bicubic,-9.088,-3.810,+8 +vit_large_patch16_384.augreg_in21k_ft_in1k,77.940,22.060,94.450,5.550,304.72,384,1.000,bicubic,-9.144,-3.852,+5 +convnext_large_mlp.clip_laion2b_augreg_ft_in1k,77.940,22.060,94.390,5.610,200.13,256,1.000,bicubic,-9.394,-3.828,-2 +convnextv2_large.fcmae_ft_in22k_in1k,77.900,22.100,94.390,5.610,197.96,288,1.000,bicubic,-9.584,-3.966,-13 +deit3_base_patch16_384.fb_in22k_ft_in1k,77.860,22.140,94.030,5.970,86.88,384,1.000,bicubic,-8.878,-4.084,+22 +vit_base_patch16_clip_384.laion2b_ft_in12k_in1k,77.780,22.220,94.160,5.840,86.86,384,1.000,bicubic,-9.428,-3.874,-3 +volo_d5_448.sail_in1k,77.750,22.250,94.050,5.950,295.91,448,1.150,bicubic,-9.202,-3.888,+9 +volo_d4_448.sail_in1k,77.740,22.260,93.940,6.060,193.41,448,1.150,bicubic,-9.052,-3.944,+17 +maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k,77.710,22.290,94.330,5.670,116.09,384,1.000,bicubic,-9.754,-4.044,-15 +maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k,77.680,22.320,94.070,5.930,116.14,224,0.950,bicubic,-9.214,-3.944,+7 +tf_efficientnetv2_xl.in21k_ft_in1k,77.630,22.370,93.950,6.050,208.12,512,1.000,bicubic,-9.118,-4.064,+15 +tf_efficientnetv2_l.in21k_ft_in1k,77.580,22.420,94.280,5.720,118.52,480,1.000,bicubic,-9.222,-3.856,+10 +caformer_s36.sail_in22k_ft_in1k_384,77.540,22.460,94.070,5.930,39.30,384,1.000,bicubic,-9.316,-4.142,+6 +convnextv2_base.fcmae_ft_in22k_in1k_384,77.490,22.510,94.410,5.590,88.72,384,1.000,bicubic,-10.154,-4.006,-27 +caformer_b36.sail_in1k_384,77.490,22.510,93.530,6.470,98.75,384,1.000,bicubic,-8.918,-4.284,+30 +convnext_base.clip_laiona_augreg_ft_in1k_384,77.480,22.520,93.960,6.040,88.59,384,1.000,bicubic,-9.022,-4.008,+21 +maxvit_base_tf_512.in1k,77.440,22.560,93.980,6.020,119.88,512,1.000,bicubic,-9.162,-3.938,+14 +caformer_m36.sail_in22k_ft_in1k,77.430,22.570,93.590,6.410,56.20,224,1.000,bicubic,-9.164,-4.434,+14 +convnext_large.fb_in22k_ft_in1k_384,77.420,22.580,94.200,5.800,197.77,384,1.000,bicubic,-10.052,-4.186,-26 +regnety_1280.swag_lc_in1k,77.380,22.620,94.500,5.500,644.81,224,0.965,bicubic,-8.602,-3.350,+54 +swinv2_large_window12to24_192to384.ms_in22k_ft_in1k,77.340,22.660,93.910,6.090,196.74,384,1.000,bicubic,-10.124,-4.340,-26 +vit_base_patch16_clip_384.laion2b_ft_in1k,77.320,22.680,93.860,6.140,86.86,384,1.000,bicubic,-9.300,-4.148,+8 +maxvit_large_tf_512.in1k,77.310,22.690,93.800,6.200,212.33,512,1.000,bicubic,-9.216,-4.080,+12 +convnextv2_base.fcmae_ft_in22k_in1k,77.290,22.710,94.110,5.890,88.72,288,1.000,bicubic,-9.708,-4.058,-11 +seresnextaa101d_32x8d.sw_in12k_ft_in1k_288,77.290,22.710,94.050,5.950,93.59,320,1.000,bicubic,-9.434,-4.126,+3 +tf_efficientnet_b6.ns_jft_in1k,77.290,22.710,93.890,6.110,43.04,528,0.942,bicubic,-9.166,-3.994,+16 +convformer_b36.sail_in22k_ft_in1k,77.270,22.730,93.970,6.030,99.88,224,1.000,bicubic,-9.728,-4.202,-15 +regnety_160.swag_ft_in1k,77.240,22.760,94.620,5.380,83.59,384,1.000,bicubic,-8.770,-3.434,+40 +swinv2_base_window12to24_192to384.ms_in22k_ft_in1k,77.240,22.760,94.250,5.750,87.92,384,1.000,bicubic,-9.856,-3.984,-22 +convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384,77.180,22.820,94.170,5.830,88.59,384,1.000,bicubic,-9.954,-4.052,-25 +caformer_m36.sail_in1k_384,77.160,22.840,93.630,6.370,56.20,384,1.000,bicubic,-9.006,-4.190,+27 +maxvit_large_tf_384.in1k,77.130,22.870,93.460,6.540,212.03,384,1.000,bicubic,-9.098,-4.230,+20 +beitv2_base_patch16_224.in1k_ft_in22k_in1k,77.120,22.880,94.020,5.980,86.53,224,0.900,bicubic,-9.354,-4.032,+8 +volo_d3_448.sail_in1k,77.090,22.910,94.110,5.890,86.63,448,1.000,bicubic,-9.410,-3.600,+4 +swin_large_patch4_window12_384.ms_in22k_ft_in1k,77.070,22.930,93.760,6.240,196.74,384,1.000,bicubic,-10.062,-4.474,-29 +vit_large_r50_s32_384.augreg_in21k_ft_in1k,77.070,22.930,93.710,6.290,329.09,384,1.000,bicubic,-9.112,-4.212,+20 +coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k,77.000,23.000,93.320,6.680,73.88,224,0.950,bicubic,-9.504,-4.574,-1 +swinv2_large_window12to16_192to256.ms_in22k_ft_in1k,76.970,23.030,93.520,6.480,196.74,256,0.900,bicubic,-9.982,-4.586,-23 +vit_base_patch16_clip_384.openai_ft_in1k,76.960,23.040,93.750,6.250,86.86,384,1.000,bicubic,-9.244,-4.124,+14 +convformer_m36.sail_in22k_ft_in1k_384,76.960,23.040,93.690,6.310,57.05,384,1.000,bicubic,-9.932,-4.426,-21 +beit_base_patch16_384.in22k_ft_in22k_in1k,76.930,23.070,93.910,6.090,86.74,384,1.000,bicubic,-9.870,-4.226,-18 +seresnextaa101d_32x8d.sw_in12k_ft_in1k,76.900,23.100,93.850,6.150,93.59,288,1.000,bicubic,-9.584,-4.180,-2 +tf_efficientnetv2_m.in21k_ft_in1k,76.890,23.110,93.650,6.350,54.14,480,1.000,bicubic,-9.110,-4.296,+26 +vit_base_patch16_clip_384.openai_ft_in12k_in1k,76.870,23.130,93.780,6.220,86.86,384,0.950,bicubic,-10.154,-4.400,-34 +cait_m48_448.fb_dist_in1k,76.870,23.130,93.380,6.620,356.46,448,1.000,bicubic,-9.622,-4.372,-5 +tf_efficientnet_b5.ns_jft_in1k,76.830,23.170,93.580,6.420,30.39,456,0.934,bicubic,-9.258,-4.174,+17 +resnext101_32x32d.fb_wsl_ig1b_ft_in1k,76.810,23.190,93.210,6.790,468.53,224,0.875,bilinear,-8.288,-4.228,+89 +maxvit_base_tf_384.in1k,76.790,23.210,93.440,6.560,119.65,384,1.000,bicubic,-9.512,-4.358,+1 +convnext_large.fb_in22k_ft_in1k,76.750,23.250,93.710,6.290,197.77,288,1.000,bicubic,-10.276,-4.494,-39 +deit3_large_patch16_384.fb_in1k,76.690,23.310,93.350,6.650,304.76,384,1.000,bicubic,-9.122,-4.248,+31 +convnextv2_large.fcmae_ft_in1k,76.660,23.340,93.570,6.430,197.96,288,1.000,bicubic,-9.458,-4.252,+10 +convnext_base.fb_in22k_ft_in1k_384,76.650,23.350,93.700,6.300,88.59,384,1.000,bicubic,-10.146,-4.564,-28 +convnext_xlarge.fb_in22k_ft_in1k,76.630,23.370,93.860,6.140,350.20,288,1.000,bicubic,-10.700,-4.468,-53 +beitv2_base_patch16_224.in1k_ft_in1k,76.630,23.370,92.930,7.070,86.53,224,0.900,bicubic,-8.964,-4.576,+42 +coatnet_2_rw_224.sw_in12k_ft_in1k,76.620,23.380,93.380,6.620,73.87,224,0.950,bicubic,-9.948,-4.514,-21 +xcit_large_24_p8_384.fb_dist_in1k,76.620,23.380,93.090,6.910,188.93,384,1.000,bicubic,-9.376,-4.600,+15 +regnety_160.sw_in12k_ft_in1k,76.610,23.390,93.560,6.440,83.59,288,1.000,bicubic,-9.376,-4.274,+16 +caformer_s36.sail_in22k_ft_in1k,76.590,23.410,93.620,6.380,39.30,224,1.000,bicubic,-9.202,-4.204,+25 +vit_base_patch8_224.augreg2_in21k_ft_in1k,76.590,23.410,93.340,6.660,86.58,224,0.900,bicubic,-9.628,-4.492,-6 +caformer_s36.sail_in1k_384,76.550,23.450,93.450,6.550,39.30,384,1.000,bicubic,-9.190,-4.222,+28 +volo_d5_224.sail_in1k,76.550,23.450,93.330,6.670,295.46,224,0.960,bicubic,-9.520,-4.246,+4 +deit3_base_patch16_224.fb_in22k_ft_in1k,76.530,23.470,93.560,6.440,86.59,224,1.000,bicubic,-9.170,-4.186,+28 +maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k,76.530,23.470,93.370,6.630,116.09,224,0.950,bicubic,-10.112,-4.650,-34 +dm_nfnet_f6.dm_in1k,76.510,23.490,93.340,6.660,438.36,576,0.956,bicubic,-9.852,-4.556,-17 +maxvit_small_tf_512.in1k,76.490,23.510,93.360,6.640,69.13,512,1.000,bicubic,-9.592,-4.404,-1 +vit_base_patch16_384.augreg_in21k_ft_in1k,76.480,23.520,93.760,6.240,86.86,384,1.000,bicubic,-9.516,-4.242,+4 +swinv2_base_window12to16_192to256.ms_in22k_ft_in1k,76.450,23.550,93.700,6.300,87.92,256,0.900,bicubic,-9.818,-4.182,-16 +convformer_s36.sail_in22k_ft_in1k_384,76.370,23.630,93.530,6.470,40.01,384,1.000,bicubic,-10.008,-4.454,-24 +convformer_m36.sail_in1k_384,76.370,23.630,93.100,6.900,57.05,384,1.000,bicubic,-9.210,-4.442,+28 +convformer_m36.sail_in22k_ft_in1k,76.360,23.640,93.450,6.550,57.05,224,1.000,bicubic,-9.786,-4.400,-10 +convnext_small.in12k_ft_in1k_384,76.340,23.660,93.420,6.580,50.22,384,1.000,bicubic,-9.842,-4.502,-16 +cait_m36_384.fb_dist_in1k,76.330,23.670,93.060,6.940,271.22,384,1.000,bicubic,-9.730,-4.670,-6 +swin_large_patch4_window7_224.ms_in22k_ft_in1k,76.310,23.690,93.390,6.610,196.53,224,0.900,bicubic,-10.002,-4.512,-25 +vit_large_patch16_224.augreg_in21k_ft_in1k,76.300,23.700,93.610,6.390,304.33,224,0.900,bicubic,-9.534,-4.208,+5 +convnext_base.clip_laion2b_augreg_ft_in12k_in1k,76.290,23.710,93.810,6.190,88.59,256,1.000,bicubic,-10.080,-4.174,-29 +swin_base_patch4_window12_384.ms_in22k_ft_in1k,76.250,23.750,93.300,6.700,87.90,384,1.000,bicubic,-10.188,-4.766,-33 +cait_s36_384.fb_dist_in1k,76.220,23.780,92.960,7.040,68.37,384,1.000,bicubic,-9.234,-4.518,+27 +regnety_160.lion_in12k_ft_in1k,76.200,23.800,93.670,6.330,83.59,288,1.000,bicubic,-9.786,-4.166,-6 +dm_nfnet_f4.dm_in1k,76.160,23.840,93.050,6.950,316.07,512,0.951,bicubic,-9.676,-4.614,-1 +xcit_medium_24_p8_384.fb_dist_in1k,76.130,23.870,92.980,7.020,84.32,384,1.000,bicubic,-9.686,-4.612,0 +maxvit_small_tf_384.in1k,76.120,23.880,92.610,7.390,69.02,384,1.000,bicubic,-9.420,-4.852,+17 +flexivit_large.1200ep_in1k,76.100,23.900,93.010,6.990,304.36,240,0.950,bicubic,-9.546,-4.532,+12 +volo_d2_384.sail_in1k,76.090,23.910,93.130,6.870,58.87,384,1.000,bicubic,-9.952,-4.444,-17 +tf_efficientnet_b8.ap_in1k,76.090,23.910,92.730,7.270,87.41,672,0.954,bicubic,-9.274,-4.562,+32 +tf_efficientnet_b7.ap_in1k,76.080,23.920,92.970,7.030,66.35,600,0.949,bicubic,-9.042,-4.282,+48 +convformer_b36.sail_in1k_384,76.070,23.930,92.720,7.280,99.88,384,1.000,bicubic,-9.672,-4.804,+1 +maxvit_tiny_tf_512.in1k,76.060,23.940,93.160,6.840,31.05,512,1.000,bicubic,-9.604,-4.424,+5 +flexivit_large.600ep_in1k,76.050,23.950,92.960,7.040,304.36,240,0.950,bicubic,-9.488,-4.528,+11 +volo_d4_224.sail_in1k,76.020,23.980,92.990,7.010,192.96,224,0.960,bicubic,-9.852,-4.482,-12 +tf_efficientnetv2_l.in1k,76.000,24.000,93.070,6.930,118.52,480,1.000,bicubic,-9.664,-4.404,+3 +xcit_large_24_p8_224.fb_dist_in1k,75.970,24.030,92.710,7.290,188.93,224,1.000,bicubic,-9.432,-4.692,+19 +vit_base_patch8_224.augreg_in21k_ft_in1k,75.960,24.040,93.370,6.630,86.58,224,0.900,bicubic,-9.838,-4.420,-10 +flexivit_large.300ep_in1k,75.940,24.060,92.650,7.350,304.36,240,0.950,bicubic,-9.350,-4.750,+25 +convnext_base.fb_in22k_ft_in1k,75.930,24.070,93.580,6.420,88.59,288,1.000,bicubic,-10.344,-4.512,-44 +convnext_base.clip_laion2b_augreg_ft_in1k,75.840,24.160,93.210,6.790,88.59,256,1.000,bicubic,-10.318,-4.470,-36 +xcit_large_24_p16_384.fb_dist_in1k,75.820,24.180,92.740,7.260,189.10,384,1.000,bicubic,-9.934,-4.798,-10 +dm_nfnet_f3.dm_in1k,75.790,24.210,92.910,7.090,254.92,416,0.940,bicubic,-9.896,-4.660,-6 +eva02_small_patch14_336.mim_in22k_ft_in1k,75.790,24.210,92.820,7.180,22.13,336,1.000,bicubic,-9.926,-4.812,-9 +convformer_s36.sail_in1k_384,75.780,24.220,93.090,6.910,40.01,384,1.000,bicubic,-9.598,-4.386,+13 +deit3_huge_patch14_224.fb_in1k,75.780,24.220,92.740,7.260,632.13,224,0.900,bicubic,-9.444,-4.620,+24 +xcit_small_24_p8_384.fb_dist_in1k,75.770,24.230,92.970,7.030,47.63,384,1.000,bicubic,-9.784,-4.600,-4 +caformer_b36.sail_in1k,75.730,24.270,92.690,7.310,98.75,224,1.000,bicubic,-9.776,-4.620,-1 +resnext101_32x16d.fb_wsl_ig1b_ft_in1k,75.720,24.280,92.910,7.090,194.03,224,0.875,bilinear,-8.446,-4.288,+116 +vit_base_patch16_clip_224.laion2b_ft_in12k_in1k,75.710,24.290,92.770,7.230,86.57,224,0.950,bicubic,-10.464,-4.986,-47 +tf_efficientnet_b4.ns_jft_in1k,75.690,24.310,93.050,6.950,19.34,380,0.922,bicubic,-9.472,-4.420,+25 +caformer_s18.sail_in22k_ft_in1k_384,75.680,24.320,93.500,6.500,26.34,384,1.000,bicubic,-9.734,-4.202,+1 +efficientnet_b5.sw_in12k_ft_in1k,75.680,24.320,93.040,6.960,30.39,448,1.000,bicubic,-10.212,-4.696,-31 +hrnet_w48_ssld.paddle_in1k,75.670,24.330,92.830,7.170,77.47,288,1.000,bilinear,-8.808,-4.404,+76 +vit_medium_patch16_gap_384.sw_in12k_ft_in1k,75.660,24.340,92.980,7.020,39.03,384,0.950,bicubic,-9.872,-4.658,-9 +volo_d1_384.sail_in1k,75.650,24.350,93.060,6.940,26.78,384,1.000,bicubic,-9.594,-4.134,+11 +volo_d3_224.sail_in1k,75.620,24.380,92.980,7.020,86.33,224,0.960,bicubic,-9.794,-4.296,-3 +convnextv2_base.fcmae_ft_in1k,75.620,24.380,92.850,7.150,88.72,288,1.000,bicubic,-9.854,-4.534,-9 +dm_nfnet_f5.dm_in1k,75.610,24.390,92.780,7.220,377.21,544,0.954,bicubic,-10.488,-4.908,-52 +caformer_m36.sail_in1k,75.610,24.390,92.400,7.600,56.20,224,1.000,bicubic,-9.622,-4.800,+10 +vit_base_patch16_clip_224.openai_ft_in1k,75.580,24.420,92.960,7.040,86.57,224,0.900,bicubic,-9.712,-4.478,+2 +vit_base_r50_s16_384.orig_in21k_ft_in1k,75.570,24.430,92.780,7.220,98.95,384,1.000,bicubic,-9.406,-4.510,+31 +deit_base_distilled_patch16_384.fb_in1k,75.550,24.450,92.500,7.500,87.63,384,1.000,bicubic,-9.876,-4.830,-12 +regnetz_e8.ra3_in1k,75.510,24.490,92.690,7.310,57.70,320,1.000,bicubic,-9.526,-4.582,+25 +cait_s24_384.fb_dist_in1k,75.500,24.500,92.610,7.390,47.06,384,1.000,bicubic,-9.548,-4.736,+23 +convformer_s36.sail_in22k_ft_in1k,75.480,24.520,93.190,6.810,40.01,224,1.000,bicubic,-9.934,-4.378,-12 +xcit_medium_24_p8_224.fb_dist_in1k,75.470,24.530,92.890,7.110,84.32,224,1.000,bicubic,-9.604,-4.384,+18 +resnext101_32x8d.fb_swsl_ig1b_ft_in1k,75.470,24.530,92.730,7.270,88.79,224,0.875,bilinear,-8.832,-4.446,+84 +vit_base_patch16_clip_224.openai_ft_in12k_in1k,75.460,24.540,92.750,7.250,86.57,224,0.950,bicubic,-10.480,-4.978,-48 +regnety_2560.seer_ft_in1k,75.440,24.560,92.830,7.170,"1,282.60",384,1.000,bicubic,-9.712,-4.606,+7 +vit_base_patch32_clip_448.laion2b_ft_in12k_in1k,75.420,24.580,92.710,7.290,88.34,448,1.000,bicubic,-10.358,-4.928,-40 +regnety_320.swag_lc_in1k,75.400,24.600,93.680,6.320,145.05,224,0.965,bicubic,-9.146,-3.762,+48 +beit_base_patch16_224.in22k_ft_in22k_in1k,75.390,24.610,93.020,6.980,86.53,224,0.900,bicubic,-9.822,-4.638,-1 +tf_efficientnetv2_m.in1k,75.380,24.620,92.760,7.240,54.14,480,1.000,bicubic,-9.824,-4.604,-2 +tf_efficientnet_b6.ap_in1k,75.380,24.620,92.440,7.560,43.04,528,0.942,bicubic,-9.406,-4.696,+33 +vit_base_patch16_224.augreg2_in21k_ft_in1k,75.360,24.640,93.230,6.770,86.57,224,0.900,bicubic,-9.736,-4.300,+7 +regnety_120.sw_in12k_ft_in1k,75.330,24.670,92.970,7.030,51.82,288,1.000,bicubic,-10.070,-4.612,-20 +volo_d2_224.sail_in1k,75.310,24.690,92.520,7.480,58.68,224,0.960,bicubic,-9.892,-4.670,-4 +dm_nfnet_f2.dm_in1k,75.270,24.730,92.450,7.550,193.78,352,0.920,bicubic,-9.924,-4.896,-5 +mvitv2_large.fb_in1k,75.270,24.730,92.360,7.640,217.99,224,0.900,bicubic,-9.974,-4.854,-13 +coat_lite_medium_384.in1k,75.270,24.730,92.230,7.770,44.57,384,1.000,bicubic,-9.608,-5.142,+21 +caformer_s18.sail_in1k_384,75.210,24.790,92.700,7.300,26.34,384,1.000,bicubic,-9.816,-4.658,+8 +convnext_small.fb_in22k_ft_in1k_384,75.160,24.840,93.060,6.940,50.22,384,1.000,bicubic,-10.618,-4.830,-53 +efficientnetv2_rw_m.agc_in1k,75.150,24.850,92.570,7.430,53.24,416,1.000,bicubic,-9.662,-4.580,+22 +ecaresnet269d.ra2_in1k,75.130,24.870,92.830,7.170,102.09,352,1.000,bicubic,-9.836,-4.392,+9 +vit_base_patch16_clip_224.laion2b_ft_in1k,75.120,24.880,92.700,7.300,86.57,224,1.000,bicubic,-10.346,-4.874,-38 +deit3_large_patch16_224.fb_in1k,75.120,24.880,92.280,7.720,304.37,224,0.900,bicubic,-9.656,-4.758,+22 +deit3_small_patch16_384.fb_in22k_ft_in1k,75.090,24.910,92.810,7.190,22.21,384,1.000,bicubic,-9.734,-4.678,+16 +vit_base_patch32_clip_384.laion2b_ft_in12k_in1k,75.090,24.910,92.580,7.420,88.30,384,1.000,bicubic,-10.276,-5.076,-29 +xcit_medium_24_p16_384.fb_dist_in1k,75.090,24.910,92.440,7.560,84.40,384,1.000,bicubic,-10.332,-4.966,-38 +maxvit_tiny_tf_384.in1k,75.020,24.980,92.450,7.550,30.98,384,1.000,bicubic,-10.080,-4.928,-10 +convformer_b36.sail_in1k,74.980,25.020,91.600,8.400,99.88,224,1.000,bicubic,-9.838,-5.346,+13 +xcit_small_24_p8_224.fb_dist_in1k,74.970,25.030,92.320,7.680,47.63,224,1.000,bicubic,-9.898,-4.870,+8 +convnext_small.in12k_ft_in1k,74.960,25.040,92.520,7.480,50.22,288,1.000,bicubic,-10.370,-5.026,-32 +tf_efficientnet_b8.ra_in1k,74.910,25.090,92.330,7.670,87.41,672,0.954,bicubic,-10.458,-5.064,-36 +xcit_small_12_p8_384.fb_dist_in1k,74.850,25.150,92.450,7.550,26.21,384,1.000,bicubic,-10.228,-4.832,-11 +eca_nfnet_l2.ra3_in1k,74.820,25.180,92.650,7.350,56.72,384,1.000,bicubic,-9.882,-4.532,+14 +deit3_base_patch16_384.fb_in1k,74.790,25.210,92.240,7.760,86.88,384,1.000,bicubic,-10.282,-5.012,-11 +convnext_tiny.in12k_ft_in1k_384,74.730,25.270,92.810,7.190,28.59,384,1.000,bicubic,-10.392,-4.796,-21 +tf_efficientnet_b7.ra_in1k,74.730,25.270,92.220,7.780,66.35,600,0.949,bicubic,-10.202,-4.988,-4 +deit3_medium_patch16_224.fb_in22k_ft_in1k,74.690,25.310,92.470,7.530,38.85,224,1.000,bicubic,-9.862,-4.718,+18 +convnext_large.fb_in1k,74.650,25.350,91.970,8.030,197.77,288,1.000,bicubic,-10.196,-5.244,+1 +xcit_large_24_p16_224.fb_dist_in1k,74.650,25.350,91.860,8.140,189.10,224,1.000,bicubic,-10.266,-5.270,-5 +convformer_s18.sail_in1k_384,74.640,25.360,92.480,7.520,26.77,384,1.000,bicubic,-9.762,-4.632,+42 +caformer_s36.sail_in1k,74.630,25.370,92.080,7.920,39.30,224,1.000,bicubic,-9.878,-4.916,+21 +xcit_small_24_p16_384.fb_dist_in1k,74.590,25.410,92.460,7.540,47.67,384,1.000,bicubic,-10.500,-4.852,-23 +tf_efficientnet_b5.ap_in1k,74.590,25.410,91.990,8.010,30.39,456,0.934,bicubic,-9.668,-4.984,+49 +maxvit_large_tf_224.in1k,74.580,25.420,91.700,8.300,211.79,224,0.950,bicubic,-10.362,-5.270,-13 +vit_medium_patch16_gap_256.sw_in12k_ft_in1k,74.570,25.430,91.960,8.040,38.86,256,0.950,bicubic,-9.876,-4.884,+25 +swin_base_patch4_window7_224.ms_in22k_ft_in1k,74.560,25.440,92.540,7.460,87.77,224,0.900,bicubic,-10.712,-5.024,-46 +dm_nfnet_f1.dm_in1k,74.560,25.440,92.170,7.830,132.63,320,0.910,bicubic,-10.142,-5.096,+2 +convformer_s18.sail_in22k_ft_in1k_384,74.550,25.450,92.770,7.230,26.77,384,1.000,bicubic,-10.448,-4.800,-20 +maxxvit_rmlp_small_rw_256.sw_in1k,74.520,25.480,92.000,8.000,66.01,256,0.950,bicubic,-10.104,-5.068,+2 +regnetz_040.ra3_in1k,74.510,25.490,91.880,8.120,27.12,320,1.000,bicubic,-9.730,-5.052,+44 +seresnet152d.ra2_in1k,74.500,25.500,92.090,7.910,66.84,320,1.000,bicubic,-9.860,-4.950,+34 +convnext_small.fb_in22k_ft_in1k,74.490,25.510,92.700,7.300,50.22,288,1.000,bicubic,-10.772,-4.982,-50 +davit_base.msft_in1k,74.490,25.510,91.750,8.250,87.95,224,0.950,bicubic,-10.152,-5.270,-3 +gcvit_base.in1k,74.480,25.520,91.770,8.230,90.32,224,0.875,bicubic,-9.966,-5.438,+17 +resnest200e.in1k,74.470,25.530,91.880,8.120,70.20,320,0.909,bicubic,-9.376,-5.004,+72 +regnetz_040_h.ra3_in1k,74.460,25.540,92.250,7.750,28.94,320,1.000,bicubic,-10.032,-4.508,+7 +coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k,74.460,25.540,91.640,8.360,41.72,224,0.950,bicubic,-10.450,-5.318,-21 +tf_efficientnetv2_s.in21k_ft_in1k,74.440,25.560,92.500,7.500,21.46,384,1.000,bicubic,-9.848,-4.752,+30 +maxvit_rmlp_small_rw_224.sw_in1k,74.390,25.610,91.390,8.610,64.90,224,0.900,bicubic,-10.102,-5.620,+6 +convformer_m36.sail_in1k,74.380,25.620,91.480,8.520,57.05,224,1.000,bicubic,-10.114,-5.386,+3 +caformer_s18.sail_in22k_ft_in1k,74.370,25.630,92.500,7.500,26.34,224,1.000,bicubic,-9.706,-4.698,+46 +flexivit_base.1200ep_in1k,74.350,25.650,91.800,8.200,86.59,240,0.950,bicubic,-10.328,-5.196,-13 +resnetrs200.tf_in1k,74.340,25.660,91.940,8.060,93.21,320,1.000,bicubic,-10.104,-5.142,+9 +seresnextaa101d_32x8d.ah_in1k,74.320,25.680,91.720,8.280,93.59,288,1.000,bicubic,-10.246,-5.356,-10 +maxvit_base_tf_224.in1k,74.290,25.710,91.760,8.240,119.47,224,0.950,bicubic,-10.570,-5.228,-27 +regnety_160.swag_lc_in1k,74.220,25.780,92.870,7.130,83.59,224,0.965,bicubic,-9.562,-4.410,+69 +convnextv2_tiny.fcmae_ft_in22k_in1k_384,74.220,25.780,92.470,7.530,28.64,384,1.000,bicubic,-10.886,-5.158,-50 +mvitv2_base.fb_in1k,74.220,25.780,91.650,8.350,51.47,224,0.900,bicubic,-10.230,-5.208,+2 +convformer_s36.sail_in1k,74.210,25.790,91.230,8.770,40.01,224,1.000,bicubic,-9.850,-5.516,+40 +convnext_tiny.in12k_ft_in1k,74.200,25.800,92.690,7.310,28.59,288,1.000,bicubic,-10.250,-4.650,-2 +resnest269e.in1k,74.200,25.800,91.960,8.040,110.93,416,0.928,bicubic,-10.310,-5.474,-10 +seresnext101d_32x8d.ah_in1k,74.180,25.820,91.850,8.150,93.59,288,1.000,bicubic,-10.178,-5.070,+13 +coatnet_rmlp_2_rw_224.sw_in1k,74.180,25.820,91.300,8.700,73.88,224,0.950,bicubic,-10.426,-5.440,-20 +cait_xs24_384.fb_dist_in1k,74.170,25.830,91.930,8.070,26.67,384,1.000,bicubic,-9.892,-4.954,+34 +efficientnetv2_rw_s.ra2_in1k,74.160,25.840,91.710,8.290,23.94,384,1.000,bicubic,-9.648,-5.022,+59 +resnext101_32x4d.fb_swsl_ig1b_ft_in1k,74.130,25.870,91.990,8.010,44.18,224,0.875,bilinear,-9.102,-4.768,+112 +vit_large_r50_s32_224.augreg_in21k_ft_in1k,74.120,25.880,92.380,7.620,328.99,224,0.900,bicubic,-10.302,-4.790,-2 +vit_base_patch16_384.orig_in21k_ft_in1k,74.120,25.880,92.360,7.640,86.86,384,1.000,bicubic,-10.080,-4.860,+19 +flexivit_base.600ep_in1k,74.120,25.880,91.750,8.250,86.59,240,0.950,bicubic,-10.402,-5.186,-19 +flexivit_base.300ep_in1k,74.120,25.880,91.390,8.610,86.59,240,0.950,bicubic,-10.286,-5.496,+4 +xcit_small_12_p16_384.fb_dist_in1k,74.110,25.890,92.090,7.910,26.25,384,1.000,bicubic,-10.602,-5.028,-37 +eca_nfnet_l1.ra2_in1k,74.110,25.890,92.070,7.930,41.41,320,1.000,bicubic,-9.900,-4.956,+34 +convnext_base.fb_in1k,74.110,25.890,91.710,8.290,88.59,288,1.000,bicubic,-10.318,-5.258,-6 +volo_d1_224.sail_in1k,74.100,25.900,92.030,7.970,26.63,224,0.960,bicubic,-10.062,-4.746,+18 +vit_base_patch32_clip_384.openai_ft_in12k_in1k,74.070,25.930,92.420,7.580,88.30,384,0.950,bicubic,-11.146,-4.986,-78 +vit_base_patch16_224_miil.in21k_ft_in1k,74.040,25.960,91.700,8.300,86.54,224,0.875,bilinear,-10.226,-5.104,+4 +xcit_large_24_p8_224.fb_in1k,74.040,25.960,90.890,9.110,188.93,224,1.000,bicubic,-10.354,-5.774,-3 +tf_efficientnet_b7.aa_in1k,74.020,25.980,91.860,8.140,66.35,600,0.949,bicubic,-10.394,-5.046,-8 +vit_base_patch16_224.augreg_in21k_ft_in1k,74.010,25.990,92.470,7.530,86.57,224,0.900,bicubic,-10.522,-4.822,-32 +resnetv2_152x4_bit.goog_in21k_ft_in1k,74.010,25.990,92.340,7.660,936.53,480,1.000,bilinear,-10.906,-5.098,-56 +resnext101_32x16d.fb_swsl_ig1b_ft_in1k,73.990,26.010,92.180,7.820,194.03,224,0.875,bilinear,-9.346,-4.666,+90 +swinv2_base_window16_256.ms_in1k,73.980,26.020,91.750,8.250,87.92,256,0.900,bicubic,-10.620,-5.340,-39 +tf_efficientnetv2_s.in1k,73.980,26.020,91.540,8.460,21.46,384,1.000,bicubic,-9.920,-5.158,+29 +regnetz_d32.ra3_in1k,73.960,26.040,91.950,8.050,27.58,320,0.950,bicubic,-10.062,-4.918,+20 +seresnext101_32x8d.ah_in1k,73.960,26.040,91.450,8.550,93.57,288,1.000,bicubic,-10.226,-5.424,+5 +resnetv2_152x2_bit.goog_in21k_ft_in1k,73.950,26.050,92.670,7.330,236.34,448,1.000,bilinear,-10.560,-4.322,-36 +crossvit_18_dagger_408.in1k,73.930,26.070,91.410,8.590,44.61,408,1.000,bicubic,-10.268,-5.406,+2 +rexnetr_300.sw_in12k_ft_in1k,73.920,26.080,92.210,7.790,34.81,288,1.000,bicubic,-10.624,-5.046,-41 +xcit_small_12_p8_224.fb_dist_in1k,73.920,26.080,91.720,8.280,26.21,224,1.000,bicubic,-10.316,-5.152,-4 +resnetrs420.tf_in1k,73.900,26.100,91.780,8.220,191.89,416,1.000,bicubic,-11.106,-5.344,-75 +resmlp_big_24_224.fb_in22k_ft_in1k,73.900,26.100,91.760,8.240,129.14,224,0.875,bicubic,-10.498,-5.352,-18 +pit_b_distilled_224.in1k,73.900,26.100,90.780,9.220,74.79,224,0.900,bicubic,-9.866,-5.686,+39 +tf_efficientnet_b6.aa_in1k,73.890,26.110,91.750,8.250,43.04,528,0.942,bicubic,-10.226,-5.130,+2 +edgenext_base.usi_in1k,73.880,26.120,91.760,8.240,18.51,320,1.000,bicubic,-10.078,-5.010,+14 +regnety_1280.seer_ft_in1k,73.860,26.140,91.900,8.100,644.81,384,1.000,bicubic,-10.572,-5.192,-31 +tf_efficientnet_b3.ns_jft_in1k,73.850,26.150,91.860,8.140,12.23,300,0.904,bicubic,-10.206,-5.058,+4 +deit3_small_patch16_224.fb_in22k_ft_in1k,73.840,26.160,91.970,8.030,22.06,224,1.000,bicubic,-9.234,-4.806,+98 +maxvit_rmlp_tiny_rw_256.sw_in1k,73.830,26.170,91.440,8.560,29.15,256,0.950,bicubic,-10.394,-5.428,-11 +vit_small_r26_s32_384.augreg_in21k_ft_in1k,73.790,26.210,92.300,7.700,36.47,384,1.000,bicubic,-10.258,-5.028,+4 +davit_small.msft_in1k,73.780,26.220,91.560,8.440,49.75,224,0.950,bicubic,-10.472,-5.380,-18 +regnetz_d8.ra3_in1k,73.760,26.240,92.010,7.990,23.37,320,1.000,bicubic,-10.294,-4.986,0 +maxvit_small_tf_224.in1k,73.760,26.240,91.420,8.580,68.93,224,0.950,bicubic,-10.666,-5.404,-34 +regnety_080.ra3_in1k,73.750,26.250,91.800,8.200,39.18,288,1.000,bicubic,-10.176,-5.090,+6 +focalnet_base_lrf.ms_in1k,73.740,26.260,90.990,9.010,88.75,224,0.900,bicubic,-10.098,-5.618,+15 +resnetrs270.tf_in1k,73.730,26.270,91.580,8.420,129.86,352,1.000,bicubic,-10.698,-5.388,-39 +gcvit_small.in1k,73.700,26.300,91.230,8.770,51.09,224,0.875,bicubic,-10.192,-5.428,+8 +resnext101_32x8d.fb_wsl_ig1b_ft_in1k,73.670,26.330,92.140,7.860,88.79,224,0.875,bilinear,-9.028,-4.004,+119 +resnet200d.ra2_in1k,73.670,26.330,91.570,8.430,64.69,320,1.000,bicubic,-10.294,-5.254,0 +resnetv2_101x3_bit.goog_in21k_ft_in1k,73.660,26.340,92.470,7.530,387.93,448,1.000,bilinear,-10.778,-4.912,-46 +xcit_medium_24_p16_224.fb_dist_in1k,73.650,26.350,91.570,8.430,84.40,224,1.000,bicubic,-10.636,-5.362,-31 +convnextv2_tiny.fcmae_ft_in22k_in1k,73.640,26.360,91.960,8.040,28.64,288,1.000,bicubic,-10.776,-5.300,-42 +edgenext_base.in21k_ft_in1k,73.610,26.390,91.860,8.140,18.51,320,1.000,bicubic,-10.444,-5.336,-11 +regnety_064.ra3_in1k,73.610,26.390,91.330,8.670,30.58,288,1.000,bicubic,-10.110,-5.392,+22 +tresnet_v2_l.miil_in21k_ft_in1k,73.580,26.420,90.980,9.020,46.17,224,0.875,bilinear,-10.320,-5.514,-1 +swinv2_base_window8_256.ms_in1k,73.550,26.450,91.510,8.490,87.92,256,0.900,bicubic,-10.700,-5.414,-32 +tf_efficientnet_b5.ra_in1k,73.540,26.460,91.460,8.540,30.39,456,0.934,bicubic,-10.270,-5.294,+7 +resnetaa101d.sw_in12k_ft_in1k,73.520,26.480,91.750,8.250,44.57,288,1.000,bicubic,-10.604,-5.356,-24 +resnet152d.ra2_in1k,73.520,26.480,91.240,8.760,60.21,320,1.000,bicubic,-10.164,-5.500,+25 +cs3se_edgenet_x.c2ns_in1k,73.510,26.490,91.490,8.510,50.72,320,1.000,bicubic,-10.032,-5.182,+31 +regnetz_d8_evos.ch_in1k,73.490,26.510,91.710,8.290,23.46,320,1.000,bicubic,-10.636,-5.302,-28 +deit3_base_patch16_224.fb_in1k,73.490,26.510,91.280,8.720,86.59,224,0.900,bicubic,-10.296,-5.308,+6 +regnetv_064.ra3_in1k,73.460,26.540,91.600,8.400,30.58,288,1.000,bicubic,-10.256,-5.144,+14 +convnext_small.fb_in1k,73.450,26.550,91.330,8.670,50.22,288,1.000,bicubic,-10.250,-5.478,+15 +coat_lite_medium.in1k,73.450,26.550,91.240,8.760,44.57,224,0.900,bicubic,-10.150,-5.488,+24 +sequencer2d_l.in1k,73.450,26.550,91.090,8.910,54.30,224,0.875,bicubic,-9.944,-5.406,+39 +xcit_tiny_24_p8_384.fb_dist_in1k,73.430,26.570,91.560,8.440,12.11,384,1.000,bicubic,-10.316,-5.150,+6 +twins_svt_large.in1k,73.420,26.580,90.880,9.120,99.27,224,0.900,bicubic,-10.258,-5.710,+16 +resnetrs350.tf_in1k,73.400,26.600,91.300,8.700,163.96,384,1.000,bicubic,-11.314,-5.692,-94 +pvt_v2_b4.in1k,73.400,26.600,91.070,8.930,62.56,224,0.900,bicubic,-10.310,-5.604,+9 +regnety_160.deit_in1k,73.390,26.610,91.700,8.300,83.59,288,1.000,bicubic,-10.300,-5.082,+10 +tf_efficientnet_b5.aa_in1k,73.380,26.620,91.210,8.790,30.39,456,0.934,bicubic,-10.308,-5.502,+10 +swin_s3_base_224.ms_in1k,73.350,26.650,91.180,8.820,71.13,224,0.900,bicubic,-10.570,-5.492,-22 +convformer_s18.sail_in22k_ft_in1k,73.340,26.660,91.910,8.090,26.77,224,1.000,bicubic,-10.398,-5.138,+1 +efficientnet_b4.ra2_in1k,73.340,26.660,91.270,8.730,19.34,384,1.000,bicubic,-10.074,-5.328,+27 +gcvit_tiny.in1k,73.330,26.670,90.970,9.030,28.22,224,0.875,bicubic,-10.054,-5.428,+31 +mvitv2_small.fb_in1k,73.300,26.700,91.230,8.770,34.87,224,0.900,bicubic,-10.470,-5.346,-8 +resnet152.a1h_in1k,73.300,26.700,91.180,8.820,60.19,288,1.000,bicubic,-10.150,-5.358,+19 +resmlp_big_24_224.fb_distilled_in1k,73.300,26.700,91.170,8.830,129.14,224,0.875,bicubic,-10.292,-5.480,+12 +swin_small_patch4_window7_224.ms_in22k_ft_in1k,73.290,26.710,92.030,7.970,49.61,224,0.900,bicubic,-10.008,-4.934,+36 +vit_small_patch16_384.augreg_in21k_ft_in1k,73.280,26.720,91.990,8.010,22.20,384,1.000,bicubic,-10.522,-5.108,-15 +xcit_small_24_p16_224.fb_dist_in1k,73.270,26.730,91.460,8.540,47.67,224,1.000,bicubic,-10.604,-5.276,-27 +focalnet_base_srf.ms_in1k,73.270,26.730,91.260,8.740,88.15,224,0.900,bicubic,-10.548,-5.422,-19 +swinv2_small_window16_256.ms_in1k,73.250,26.750,91.290,8.710,49.73,256,0.900,bicubic,-10.974,-5.488,-58 +pvt_v2_b5.in1k,73.250,26.750,91.080,8.920,81.96,224,0.900,bicubic,-10.492,-5.554,-10 +deit_base_distilled_patch16_224.fb_in1k,73.240,26.760,91.010,8.990,87.34,224,0.900,bicubic,-10.146,-5.478,+20 +maxvit_tiny_rw_224.sw_in1k,73.230,26.770,90.770,9.230,29.06,224,0.950,bicubic,-10.274,-5.734,+6 +pvt_v2_b3.in1k,73.210,26.790,91.010,8.990,45.24,224,0.900,bicubic,-9.910,-5.544,+44 +resnetrs152.tf_in1k,73.200,26.800,91.260,8.740,86.62,320,1.000,bicubic,-10.502,-5.352,-10 +swin_base_patch4_window12_384.ms_in1k,73.160,26.840,91.130,8.870,87.90,384,1.000,bicubic,-11.316,-5.762,-92 +vit_base_patch32_384.augreg_in21k_ft_in1k,73.130,26.870,91.250,8.750,88.30,384,1.000,bicubic,-10.220,-5.588,+19 +nest_base_jx.goog_in1k,73.130,26.870,91.070,8.930,67.72,224,0.875,bicubic,-10.404,-5.304,+1 +xcit_medium_24_p8_224.fb_in1k,73.130,26.870,90.280,9.720,84.32,224,1.000,bicubic,-10.618,-6.120,-21 +regnety_640.seer_ft_in1k,73.110,26.890,91.520,8.480,281.38,384,1.000,bicubic,-10.798,-5.402,-42 +swinv2_small_window8_256.ms_in1k,73.100,26.900,90.950,9.050,49.73,256,0.900,bicubic,-10.754,-5.694,-38 +deit3_small_patch16_384.fb_in1k,73.090,26.910,91.220,8.780,22.21,384,1.000,bicubic,-10.340,-5.454,+4 +xcit_small_24_p8_224.fb_in1k,73.090,26.910,91.160,8.840,47.63,224,1.000,bicubic,-10.744,-5.472,-35 +cait_s24_224.fb_dist_in1k,73.060,26.940,91.120,8.880,46.92,224,1.000,bicubic,-10.382,-5.454,+1 +efficientformerv2_l.snap_dist_in1k,73.060,26.940,90.880,9.120,26.32,224,0.950,bicubic,-10.572,-5.680,-13 +focalnet_small_srf.ms_in1k,73.060,26.940,90.730,9.270,49.89,224,0.900,bicubic,-10.356,-5.708,+1 +coatnet_rmlp_1_rw_224.sw_in1k,73.040,26.960,90.880,9.120,41.69,224,0.950,bicubic,-10.322,-5.570,+9 +crossvit_15_dagger_408.in1k,72.960,27.040,91.090,8.910,28.50,408,1.000,bicubic,-10.882,-5.688,-44 +caformer_s18.sail_in1k,72.960,27.040,91.010,8.990,26.34,224,1.000,bicubic,-10.696,-5.506,-17 +regnety_320.tv2_in1k,72.940,27.060,90.760,9.240,145.05,224,0.965,bicubic,-10.222,-5.656,+20 +ecaresnet101d.miil_in1k,72.930,27.070,91.180,8.820,44.57,288,0.950,bicubic,-10.054,-5.362,+41 +regnetv_040.ra3_in1k,72.920,27.080,91.130,8.870,20.64,288,1.000,bicubic,-10.278,-5.528,+15 +tf_efficientnet_b4.ap_in1k,72.900,27.100,90.980,9.020,19.34,380,0.922,bicubic,-10.350,-5.414,+9 +maxvit_tiny_tf_224.in1k,72.900,27.100,90.830,9.170,30.92,224,0.950,bicubic,-10.502,-5.760,-5 +coatnet_1_rw_224.sw_in1k,72.900,27.100,90.790,9.210,41.72,224,0.950,bicubic,-10.696,-5.592,-18 +resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384,72.880,27.120,91.550,8.450,236.34,384,1.000,bicubic,-10.954,-5.576,-49 +swinv2_cr_small_ns_224.sw_in1k,72.850,27.150,90.820,9.180,49.70,224,0.900,bicubic,-10.648,-5.664,-17 +regnety_032.ra_in1k,72.780,27.220,90.950,9.050,19.44,288,1.000,bicubic,-9.948,-5.466,+53 +regnety_040.ra3_in1k,72.780,27.220,90.750,9.250,20.65,288,1.000,bicubic,-10.264,-5.748,+26 +convnextv2_tiny.fcmae_ft_in1k,72.770,27.230,91.180,8.820,28.64,288,1.000,bicubic,-10.694,-5.538,-17 +xception65p.ra3_in1k,72.760,27.240,90.910,9.090,39.82,299,0.940,bicubic,-10.376,-5.198,+12 +swin_s3_small_224.ms_in1k,72.720,27.280,90.560,9.440,49.74,224,0.900,bicubic,-11.036,-5.892,-45 +resnetv2_101.a1h_in1k,72.700,27.300,90.670,9.330,44.54,288,1.000,bicubic,-10.302,-5.784,+26 +efficientformer_l7.snap_dist_in1k,72.660,27.340,90.800,9.200,82.23,224,0.950,bicubic,-10.722,-5.736,-10 +xcit_small_12_p8_224.fb_in1k,72.630,27.370,90.670,9.330,26.21,224,1.000,bicubic,-10.702,-5.814,-5 +nfnet_l0.ra2_in1k,72.610,27.390,90.990,9.010,35.07,288,1.000,bicubic,-10.142,-5.526,+42 +resnext101_64x4d.c1_in1k,72.610,27.390,90.830,9.170,83.46,288,1.000,bicubic,-10.546,-5.544,+2 +focalnet_small_lrf.ms_in1k,72.610,27.390,90.720,9.280,50.34,224,0.900,bicubic,-10.884,-5.860,-25 +pnasnet5large.tf_in1k,72.610,27.390,90.500,9.500,86.06,331,0.911,bicubic,-10.172,-5.540,+37 +xception65.ra3_in1k,72.590,27.410,90.840,9.160,39.92,299,0.940,bicubic,-10.592,-5.752,-2 +cs3sedarknet_x.c2ns_in1k,72.580,27.420,91.060,8.940,35.40,288,1.000,bicubic,-10.078,-5.290,+48 +resnest101e.in1k,72.580,27.420,90.810,9.190,48.28,256,0.875,bilinear,-10.304,-5.512,+25 +twins_pcpvt_large.in1k,72.580,27.420,90.700,9.300,60.99,224,0.900,bicubic,-10.550,-5.902,+2 +gc_efficientnetv2_rw_t.agc_in1k,72.570,27.430,90.830,9.170,13.68,288,1.000,bicubic,-9.882,-5.462,+76 +tf_efficientnet_b5.in1k,72.560,27.440,91.110,8.890,30.39,456,0.934,bicubic,-10.616,-5.426,-7 +resnext50_32x4d.fb_swsl_ig1b_ft_in1k,72.560,27.440,90.840,9.160,25.03,224,0.875,bilinear,-9.614,-5.382,+112 +tresnet_xl.miil_in1k_448,72.560,27.440,90.310,9.690,78.44,448,0.875,bilinear,-10.500,-5.864,+7 +twins_svt_base.in1k,72.550,27.450,90.450,9.550,56.07,224,0.900,bicubic,-10.572,-5.966,-1 +deit_base_patch16_384.fb_in1k,72.540,27.460,90.260,9.740,86.86,384,1.000,bicubic,-10.566,-6.108,+1 +resnetv2_50x3_bit.goog_in21k_ft_in1k,72.520,27.480,91.760,8.240,217.32,448,1.000,bilinear,-11.500,-5.366,-88 +xcit_small_12_p16_224.fb_dist_in1k,72.520,27.480,91.130,8.870,26.25,224,1.000,bicubic,-10.808,-5.286,-21 +rexnet_300.nav_in1k,72.520,27.480,90.630,9.370,34.71,224,0.875,bicubic,-10.254,-5.606,+26 +vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,72.510,27.490,90.880,9.120,88.22,224,0.900,bicubic,-10.786,-5.648,-22 +deit3_medium_patch16_224.fb_in1k,72.510,27.490,90.810,9.190,38.85,224,0.900,bicubic,-10.576,-5.486,-3 +convformer_s18.sail_in1k,72.510,27.490,90.510,9.490,26.77,224,1.000,bicubic,-10.476,-5.740,+8 +convnext_tiny.fb_in22k_ft_in1k_384,72.470,27.530,91.540,8.460,28.59,384,1.000,bicubic,-11.618,-5.604,-103 +regnety_080_tv.tv2_in1k,72.460,27.540,90.540,9.460,39.38,224,0.965,bicubic,-10.130,-5.478,+43 +xcit_tiny_24_p8_224.fb_dist_in1k,72.440,27.560,90.920,9.080,12.11,224,1.000,bicubic,-10.126,-5.138,+51 +sequencer2d_m.in1k,72.430,27.570,90.710,9.290,38.31,224,0.875,bicubic,-10.382,-5.564,+12 +resnet101d.ra2_in1k,72.430,27.570,90.650,9.350,44.57,320,1.000,bicubic,-10.586,-5.802,-1 +regnetx_320.tv2_in1k,72.420,27.580,90.300,9.700,107.81,224,0.965,bicubic,-10.390,-5.908,+12 +maxxvit_rmlp_nano_rw_256.sw_in1k,72.370,27.630,90.750,9.250,16.78,256,0.950,bicubic,-10.672,-5.600,-6 +nest_small_jx.goog_in1k,72.350,27.650,90.690,9.310,38.35,224,0.875,bicubic,-10.774,-5.630,-18 +maxvit_rmlp_nano_rw_256.sw_in1k,72.350,27.650,90.430,9.570,15.50,256,0.950,bicubic,-10.604,-5.836,0 +resnext101_32x8d.tv2_in1k,72.330,27.670,90.270,9.730,88.79,224,0.965,bilinear,-10.502,-5.962,+5 +tf_efficientnet_b4.aa_in1k,72.290,27.710,90.590,9.410,19.34,380,0.922,bicubic,-10.728,-5.710,-9 +tf_efficientnet_b2.ns_jft_in1k,72.280,27.720,91.110,8.890,9.11,260,0.890,bicubic,-10.098,-5.144,+60 +hrnet_w18_ssld.paddle_in1k,72.270,27.730,90.820,9.180,21.30,288,1.000,bilinear,-9.776,-5.430,+101 +maxvit_nano_rw_256.sw_in1k,72.270,27.730,90.570,9.430,15.45,256,0.950,bicubic,-10.658,-5.650,-4 +tresnet_m.miil_in21k_ft_in1k,72.270,27.730,90.230,9.770,31.39,224,0.875,bilinear,-10.804,-5.884,-17 +swin_base_patch4_window7_224.ms_in1k,72.260,27.740,90.810,9.190,87.77,224,0.900,bicubic,-11.346,-5.642,-69 +resnext101_64x4d.tv_in1k,72.260,27.740,90.550,9.450,83.46,224,0.875,bilinear,-10.732,-5.694,-11 +resnetv2_50x1_bit.goog_distilled_in1k,72.240,27.760,91.000,9.000,25.55,224,0.875,bicubic,-10.580,-5.514,-4 +nasnetalarge.tf_in1k,72.240,27.760,90.460,9.540,88.75,331,0.911,bicubic,-10.386,-5.582,+20 +crossvit_18_240.in1k,72.240,27.760,90.270,9.730,43.27,240,0.875,bicubic,-10.156,-5.790,+51 +efficientnetv2_rw_t.ra2_in1k,72.230,27.770,90.420,9.580,13.65,288,1.000,bicubic,-10.120,-5.772,+56 +regnetz_c16_evos.ch_in1k,72.220,27.780,91.210,8.790,13.49,320,0.950,bicubic,-10.412,-5.264,+16 +cait_xxs36_384.fb_dist_in1k,72.190,27.810,90.840,9.160,17.37,384,1.000,bicubic,-10.014,-5.304,+75 +twins_pcpvt_base.in1k,72.190,27.810,90.500,9.500,43.83,224,0.900,bicubic,-10.520,-5.846,+3 +crossvit_18_dagger_240.in1k,72.180,27.820,90.080,9.920,44.27,240,0.875,bicubic,-10.336,-5.986,+34 +regnetz_c16.ra3_in1k,72.170,27.830,91.110,8.890,13.46,320,1.000,bicubic,-10.464,-5.212,+10 +maxxvitv2_nano_rw_256.sw_in1k,72.170,27.830,90.470,9.530,23.70,256,0.950,bicubic,-10.940,-5.854,-32 +regnety_320.seer_ft_in1k,72.160,27.840,90.880,9.120,145.05,384,1.000,bicubic,-11.174,-5.826,-54 +resnet101.a1h_in1k,72.100,27.900,90.820,9.180,44.55,288,1.000,bicubic,-10.678,-5.490,-8 +regnety_160.tv2_in1k,72.090,27.910,90.230,9.770,83.59,224,0.965,bicubic,-10.552,-5.986,+5 +xcit_tiny_24_p16_384.fb_dist_in1k,72.070,27.930,90.580,9.420,12.12,384,1.000,bicubic,-10.500,-5.696,+22 +cs3edgenet_x.c2_in1k,72.050,27.950,90.370,9.630,47.82,288,1.000,bicubic,-10.658,-6.000,-4 +vit_relpos_medium_patch16_cls_224.sw_in1k,72.020,27.980,90.300,9.700,38.76,224,0.900,bicubic,-10.552,-5.768,+19 +davit_tiny.msft_in1k,72.010,27.990,90.070,9.930,28.36,224,0.950,bicubic,-10.686,-6.204,-3 +convnext_tiny_hnf.a2h_in1k,72.000,28.000,89.770,10.230,28.59,288,1.000,bicubic,-10.584,-6.238,+13 +mobilevitv2_200.cvnets_in22k_ft_in1k_384,71.990,28.010,90.650,9.350,18.45,384,1.000,bicubic,-11.410,-5.932,-71 +efficientformer_l3.snap_dist_in1k,71.980,28.020,90.270,9.730,31.41,224,0.950,bicubic,-10.570,-5.978,+18 +convnext_tiny.fb_in1k,71.980,28.020,90.220,9.780,28.59,288,1.000,bicubic,-10.718,-6.412,-7 +vit_relpos_base_patch16_clsgap_224.sw_in1k,71.970,28.030,90.250,9.750,86.43,224,0.900,bicubic,-10.790,-5.922,-16 +sequencer2d_s.in1k,71.940,28.060,90.500,9.500,27.65,224,0.875,bicubic,-10.400,-5.530,+38 +resnet152.a2_in1k,71.940,28.060,89.420,10.580,60.19,288,1.000,bicubic,-10.668,-6.708,+2 +rexnetr_200.sw_in12k_ft_in1k,71.900,28.100,91.270,8.730,16.52,288,1.000,bicubic,-11.236,-5.366,-57 +convnext_nano.in12k_ft_in1k,71.900,28.100,91.000,9.000,15.59,288,1.000,bicubic,-10.962,-5.556,-28 +dm_nfnet_f0.dm_in1k,71.900,28.100,90.740,9.260,71.49,256,0.900,bicubic,-11.586,-5.828,-86 +swinv2_cr_small_224.sw_in1k,71.900,28.100,90.270,9.730,49.70,224,0.900,bicubic,-11.236,-6.214,-56 +convnextv2_nano.fcmae_ft_in22k_in1k,71.890,28.110,90.890,9.110,15.62,288,1.000,bicubic,-10.774,-5.630,-13 +resnet101.a1_in1k,71.850,28.150,89.150,10.850,44.55,288,1.000,bicubic,-10.472,-6.482,+35 +eca_nfnet_l0.ra2_in1k,71.840,28.160,91.110,8.890,24.14,288,1.000,bicubic,-10.738,-5.384,+3 +mobilevitv2_175.cvnets_in22k_ft_in1k_384,71.840,28.160,90.770,9.230,14.25,384,1.000,bicubic,-11.098,-5.656,-40 +vit_relpos_base_patch16_224.sw_in1k,71.820,28.180,90.250,9.750,86.43,224,0.900,bicubic,-10.676,-5.888,+11 +regnetx_160.tv2_in1k,71.800,28.200,90.050,9.950,54.28,224,0.965,bicubic,-10.766,-6.122,+4 +seresnext50_32x4d.racm_in1k,71.800,28.200,90.030,9.970,27.56,288,0.950,bicubic,-10.396,-6.118,+47 +swin_small_patch4_window7_224.ms_in1k,71.770,28.230,90.260,9.740,49.61,224,0.900,bicubic,-11.438,-6.056,-72 +coat_small.in1k,71.750,28.250,90.410,9.590,21.69,224,0.900,bicubic,-10.612,-5.798,+19 +mvitv2_tiny.fb_in1k,71.740,28.260,90.310,9.690,24.17,224,0.900,bicubic,-10.670,-5.842,+12 +flexivit_small.1200ep_in1k,71.720,28.280,90.260,9.740,22.06,240,0.950,bicubic,-10.800,-5.864,+2 +flexivit_small.600ep_in1k,71.710,28.290,90.150,9.850,22.06,240,0.950,bicubic,-10.652,-5.932,+16 +flexivit_small.300ep_in1k,71.710,28.290,89.980,10.020,22.06,240,0.950,bicubic,-10.468,-6.056,+44 +pit_b_224.in1k,71.710,28.290,89.240,10.760,73.76,224,0.900,bicubic,-10.728,-6.476,+7 +xcit_large_24_p16_224.fb_in1k,71.710,28.290,89.170,10.830,189.10,224,1.000,bicubic,-11.190,-6.716,-49 +resnet50.fb_swsl_ig1b_ft_in1k,71.700,28.300,90.490,9.510,25.56,224,0.875,bilinear,-9.482,-5.502,+130 +pvt_v2_b2_li.in1k,71.700,28.300,90.010,9.990,22.55,224,0.900,bicubic,-10.494,-6.082,+39 +ecaresnet101d_pruned.miil_in1k,71.680,28.320,90.430,9.570,24.88,288,0.950,bicubic,-10.318,-5.730,+55 +coatnet_bn_0_rw_224.sw_in1k,71.670,28.330,90.380,9.620,27.44,224,0.950,bicubic,-10.730,-5.806,+4 +gcvit_xtiny.in1k,71.670,28.330,90.240,9.760,19.98,224,0.875,bicubic,-10.284,-5.728,+59 +tresnet_xl.miil_in1k,71.650,28.350,89.630,10.370,78.44,224,0.875,bilinear,-10.424,-6.296,+45 +resnet61q.ra2_in1k,71.630,28.370,90.280,9.720,36.85,288,1.000,bicubic,-10.894,-5.850,-10 +tresnet_l.miil_in1k_448,71.630,28.370,90.030,9.970,55.99,448,0.875,bilinear,-10.646,-5.948,+22 +poolformerv2_m48.sail_in1k,71.620,28.380,89.800,10.200,73.35,224,1.000,bicubic,-11.000,-6.272,-29 +convnextv2_nano.fcmae_ft_in22k_in1k_384,71.590,28.410,90.760,9.240,15.62,384,1.000,bicubic,-11.784,-5.984,-100 +xcit_tiny_12_p8_384.fb_dist_in1k,71.590,28.410,90.700,9.300,6.71,384,1.000,bicubic,-10.798,-5.520,-1 +swinv2_tiny_window16_256.ms_in1k,71.590,28.410,90.330,9.670,28.35,256,0.900,bicubic,-11.214,-5.906,-52 +convit_base.fb_in1k,71.580,28.420,90.120,9.880,86.54,224,0.875,bicubic,-10.710,-5.816,+13 +coatnet_0_rw_224.sw_in1k,71.570,28.430,89.400,10.600,27.44,224,0.950,bicubic,-10.820,-6.436,-4 +resnetv2_50d_evos.ah_in1k,71.560,28.440,90.090,9.910,25.59,288,1.000,bicubic,-10.440,-5.810,+42 +resnet152.tv2_in1k,71.530,28.470,89.970,10.030,60.19,224,0.965,bilinear,-10.758,-6.034,+11 +crossvit_15_dagger_240.in1k,71.520,28.480,89.850,10.150,28.21,240,0.875,bicubic,-10.810,-6.110,+4 +poolformer_m48.sail_in1k,71.520,28.480,89.770,10.230,73.47,224,0.950,bicubic,-10.962,-6.196,-15 +fbnetv3_g.ra2_in1k,71.510,28.490,90.380,9.620,16.62,288,0.950,bilinear,-10.526,-5.678,+36 +resnetaa50d.sw_in12k_ft_in1k,71.500,28.500,90.320,9.680,25.58,288,1.000,bicubic,-11.100,-6.178,-37 +mobilevitv2_150.cvnets_in22k_ft_in1k_384,71.490,28.510,90.420,9.580,10.59,384,1.000,bicubic,-11.096,-5.894,-34 +resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k,71.480,28.520,90.470,9.530,88.79,224,0.875,bilinear,-10.126,-5.570,+66 +wide_resnet50_2.racm_in1k,71.480,28.520,90.220,9.780,68.88,288,0.950,bicubic,-10.800,-5.844,+6 +efficientnet_b3.ra2_in1k,71.470,28.530,90.060,9.940,12.23,320,1.000,bicubic,-10.772,-6.058,+7 +pvt_v2_b2.in1k,71.450,28.550,90.060,9.940,25.36,224,0.900,bicubic,-10.636,-5.896,+25 +resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k,71.420,28.580,90.530,9.470,194.03,224,0.875,bilinear,-10.422,-5.562,+45 +resnet51q.ra2_in1k,71.410,28.590,90.180,9.820,35.70,288,1.000,bilinear,-10.950,-6.002,-12 +wide_resnet101_2.tv2_in1k,71.370,28.630,89.790,10.210,126.89,224,0.965,bilinear,-11.128,-6.228,-28 +xcit_tiny_24_p8_224.fb_in1k,71.350,28.650,90.230,9.770,12.11,224,1.000,bicubic,-10.542,-5.740,+37 +vit_relpos_medium_patch16_224.sw_in1k,71.350,28.650,89.960,10.040,38.75,224,0.900,bicubic,-11.112,-6.122,-26 +resnet152.a1_in1k,71.350,28.650,89.310,10.690,60.19,288,1.000,bicubic,-11.382,-6.410,-64 +tf_efficientnetv2_b3.in21k_ft_in1k,71.340,28.660,90.750,9.250,14.36,300,0.900,bicubic,-11.330,-5.876,-60 +tf_efficientnet_b4.in1k,71.330,28.670,90.110,9.890,19.34,380,0.922,bicubic,-11.278,-5.642,-52 +vit_base_patch16_224.orig_in21k_ft_in1k,71.320,28.680,90.480,9.520,86.57,224,0.900,bicubic,-10.466,-5.644,+42 +mixer_b16_224.miil_in21k_ft_in1k,71.300,28.700,89.650,10.350,59.88,224,0.875,bilinear,-11.006,-6.070,-10 +pit_s_distilled_224.in1k,71.260,28.740,89.640,10.360,24.04,224,0.900,bicubic,-10.548,-6.088,+38 +resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k,71.250,28.750,90.470,9.530,236.34,224,0.875,bicubic,-11.626,-6.112,-84 +ecaresnet50t.ra2_in1k,71.240,28.760,90.450,9.550,25.57,320,0.950,bicubic,-11.112,-5.690,-22 +convmixer_1536_20.in1k,71.230,28.770,89.450,10.550,51.63,224,0.960,bicubic,-10.132,-6.164,+78 +deit_base_patch16_224.fb_in1k,71.210,28.790,89.180,10.820,86.57,224,0.900,bicubic,-10.782,-6.556,+19 +xcit_small_12_p16_224.fb_in1k,71.200,28.800,89.750,10.250,26.25,224,1.000,bicubic,-10.770,-6.038,+20 +ecaresnet50t.a1_in1k,71.190,28.810,89.580,10.420,25.57,288,1.000,bicubic,-10.938,-6.062,+5 +vit_relpos_medium_patch16_rpn_224.sw_in1k,71.170,28.830,90.080,9.920,38.73,224,0.900,bicubic,-11.140,-5.892,-21 +crossvit_base_240.in1k,71.170,28.830,89.830,10.170,105.03,240,0.875,bicubic,-11.046,-6.094,-7 +resnext50_32x4d.a1h_in1k,71.170,28.830,89.700,10.300,25.03,288,1.000,bicubic,-10.844,-6.234,+12 +vit_base_patch32_clip_224.laion2b_ft_in1k,71.160,28.840,90.210,9.790,88.22,224,0.900,bicubic,-11.422,-5.990,-57 +swin_s3_tiny_224.ms_in1k,71.150,28.850,89.710,10.290,28.33,224,0.900,bicubic,-10.994,-6.244,-2 +cs3sedarknet_l.c2ns_in1k,71.110,28.890,90.350,9.650,21.91,288,0.950,bicubic,-10.674,-5.608,+29 +halo2botnet50ts_256.a1h_in1k,71.110,28.890,89.600,10.400,22.64,256,0.950,bicubic,-10.952,-6.034,+3 +efficientformerv2_s2.snap_dist_in1k,71.100,28.900,90.140,9.860,12.71,224,0.950,bicubic,-11.066,-5.770,-7 +cs3darknet_x.c2ns_in1k,71.090,28.910,90.150,9.850,35.05,288,1.000,bicubic,-11.132,-6.080,-17 +mobilevitv2_200.cvnets_in22k_ft_in1k,71.090,28.910,89.700,10.300,18.45,256,0.888,bicubic,-11.242,-6.242,-32 +ecaresnet50d.miil_in1k,71.080,28.920,90.240,9.760,25.58,288,0.950,bicubic,-10.570,-5.642,+31 +focalnet_tiny_lrf.ms_in1k,71.060,28.940,89.570,10.430,28.65,224,0.900,bicubic,-11.094,-6.378,-10 +convnextv2_nano.fcmae_ft_in1k,71.050,28.950,90.100,9.900,15.62,288,1.000,bicubic,-11.436,-6.126,-53 +focalnet_tiny_srf.ms_in1k,71.050,28.950,89.600,10.400,28.43,224,0.900,bicubic,-11.084,-6.368,-10 +xcit_tiny_12_p8_224.fb_dist_in1k,71.040,28.960,89.890,10.110,6.71,224,1.000,bicubic,-10.172,-5.712,+73 +xcit_small_24_p16_224.fb_in1k,71.040,28.960,89.680,10.320,47.67,224,1.000,bicubic,-11.540,-6.332,-67 +tresnet_m.miil_in1k_448,71.020,28.980,88.680,11.320,31.39,448,0.875,bilinear,-10.688,-6.894,+20 +resnetv2_101x1_bit.goog_in21k_ft_in1k,71.010,28.990,91.080,8.920,44.54,448,1.000,bilinear,-11.332,-5.440,-42 +visformer_small.in1k,71.010,28.990,89.440,10.560,40.22,224,0.900,bicubic,-11.092,-6.258,-13 +xcit_medium_24_p16_224.fb_in1k,70.990,29.010,89.530,10.470,84.40,224,1.000,bicubic,-11.650,-6.454,-88 +resnet101.a2_in1k,70.990,29.010,89.160,10.840,44.55,288,1.000,bicubic,-11.246,-6.570,-30 +lamhalobotnet50ts_256.a1h_in1k,70.990,29.010,89.040,10.960,22.57,256,0.950,bicubic,-10.564,-6.450,+31 +edgenext_small.usi_in1k,70.980,29.020,89.880,10.120,5.59,320,1.000,bicubic,-10.584,-5.832,+27 +resnetv2_50d_gn.ah_in1k,70.960,29.040,89.830,10.170,25.57,288,1.000,bicubic,-10.998,-6.098,-4 +tnt_s_patch16_224,70.960,29.040,89.610,10.390,23.76,224,0.900,bicubic,-10.576,-6.126,+27 +convnext_nano.d1h_in1k,70.960,29.040,89.430,10.570,15.59,288,1.000,bicubic,-10.522,-6.228,+36 +resnest50d_4s2x40d.in1k,70.940,29.060,89.720,10.280,30.42,224,0.875,bicubic,-10.180,-5.840,+69 +coatnet_nano_rw_224.sw_in1k,70.940,29.060,89.700,10.300,15.14,224,0.900,bicubic,-10.758,-5.946,+11 +vit_srelpos_medium_patch16_224.sw_in1k,70.920,29.080,89.940,10.060,38.74,224,0.900,bicubic,-11.320,-6.002,-40 +tf_efficientnet_b3.ap_in1k,70.920,29.080,89.430,10.570,12.23,300,0.904,bicubic,-10.906,-6.196,+1 +vit_small_patch16_224.augreg_in21k_ft_in1k,70.910,29.090,90.150,9.850,22.05,224,0.900,bicubic,-10.474,-5.986,+41 +coatnext_nano_rw_224.sw_in1k,70.890,29.110,90.250,9.750,14.70,224,0.900,bicubic,-11.052,-5.666,-10 +coatnet_rmlp_nano_rw_224.sw_in1k,70.890,29.110,89.920,10.080,15.15,224,0.900,bicubic,-11.160,-5.960,-21 +vit_base_patch16_rpn_224.sw_in1k,70.880,29.120,89.770,10.230,86.54,224,0.900,bicubic,-11.326,-6.228,-39 +vit_large_patch32_384.orig_in21k_ft_in1k,70.870,29.130,90.570,9.430,306.63,384,1.000,bicubic,-10.640,-5.520,+23 +tf_efficientnet_b1.ns_jft_in1k,70.860,29.140,90.120,9.880,7.79,240,0.882,bicubic,-10.534,-5.616,+33 +nest_tiny_jx.goog_in1k,70.860,29.140,89.940,10.060,17.06,224,0.875,bicubic,-10.566,-5.678,+31 +rexnet_200.nav_in1k,70.860,29.140,89.710,10.290,16.37,224,0.875,bicubic,-10.776,-5.954,+7 +resnetrs101.tf_in1k,70.850,29.150,89.830,10.170,63.62,288,0.940,bicubic,-11.434,-6.184,-54 +poolformerv2_m36.sail_in1k,70.850,29.150,89.330,10.670,56.08,224,1.000,bicubic,-11.366,-6.502,-46 +regnety_032.tv2_in1k,70.840,29.160,89.850,10.150,19.44,224,0.965,bicubic,-10.916,-5.990,-5 +wide_resnet50_2.tv2_in1k,70.840,29.160,89.270,10.730,68.88,224,0.965,bilinear,-10.766,-6.492,+5 +poolformer_m36.sail_in1k,70.830,29.170,89.510,10.490,56.17,224,0.950,bicubic,-11.272,-6.368,-36 +tf_efficientnetv2_b3.in1k,70.830,29.170,89.510,10.490,14.36,300,0.904,bicubic,-11.140,-6.302,-24 +tresnet_l.miil_in1k,70.820,29.180,89.600,10.400,55.99,224,0.875,bilinear,-10.660,-6.024,+16 +levit_384.fb_dist_in1k,70.810,29.190,89.320,10.680,39.13,224,0.900,bicubic,-11.786,-6.698,-104 +coat_lite_small.in1k,70.790,29.210,89.590,10.410,19.84,224,0.900,bicubic,-11.524,-6.258,-66 +levit_conv_384.fb_dist_in1k,70.790,29.210,89.310,10.690,39.13,224,0.900,bicubic,-11.800,-6.938,-104 +ecaresnetlight.miil_in1k,70.750,29.250,89.880,10.120,30.16,288,0.950,bicubic,-10.658,-5.936,+19 +deit3_small_patch16_224.fb_in1k,70.750,29.250,89.440,10.560,22.06,224,0.900,bicubic,-10.620,-6.016,+25 +regnetx_080.tv2_in1k,70.730,29.270,89.330,10.670,39.57,224,0.965,bicubic,-10.808,-6.212,+1 +swinv2_cr_tiny_ns_224.sw_in1k,70.700,29.300,89.380,10.620,28.33,224,0.900,bicubic,-11.102,-6.438,-19 +seresnet50.ra2_in1k,70.690,29.310,89.870,10.130,28.09,288,0.950,bicubic,-10.594,-5.782,+28 +vit_base_patch32_clip_224.openai_ft_in1k,70.690,29.310,89.830,10.170,88.22,224,0.900,bicubic,-11.240,-6.136,-29 +vit_relpos_small_patch16_224.sw_in1k,70.680,29.320,90.000,10.000,21.98,224,0.900,bicubic,-10.782,-5.820,+7 +resnet50d.ra2_in1k,70.680,29.320,89.310,10.690,25.58,288,0.950,bicubic,-10.676,-6.428,+21 +mobilevitv2_175.cvnets_in22k_ft_in1k,70.670,29.330,89.700,10.300,14.25,256,0.888,bicubic,-11.268,-6.090,-33 +resnet50_gn.a1h_in1k,70.630,29.370,89.370,10.630,25.56,288,0.950,bicubic,-10.586,-6.258,+29 +tf_efficientnet_b3.aa_in1k,70.620,29.380,89.440,10.560,12.23,300,0.904,bicubic,-11.024,-6.282,-17 +resnet101.tv2_in1k,70.620,29.380,89.400,10.600,44.55,224,0.965,bilinear,-11.270,-6.368,-32 +crossvit_small_240.in1k,70.610,29.390,89.360,10.640,26.86,240,0.875,bicubic,-10.406,-6.096,+47 +cait_xxs24_384.fb_dist_in1k,70.600,29.400,89.730,10.270,12.03,384,1.000,bicubic,-10.372,-5.910,+49 +senet154.gluon_in1k,70.600,29.400,88.920,11.080,115.09,224,0.875,bicubic,-10.626,-6.438,+21 +convit_small.fb_in1k,70.580,29.420,89.590,10.410,27.78,224,0.875,bicubic,-10.840,-6.154,+4 +convnext_nano_ols.d1h_in1k,70.570,29.430,89.100,10.900,15.65,288,1.000,bicubic,-11.030,-6.536,-17 +twins_pcpvt_small.in1k,70.560,29.440,89.070,10.930,24.11,224,0.900,bicubic,-10.536,-6.578,+36 +regnetz_b16.ra3_in1k,70.550,29.450,89.400,10.600,9.72,288,1.000,bicubic,-10.178,-6.120,+70 +resnet50.c2_in1k,70.540,29.460,89.170,10.830,25.56,288,1.000,bicubic,-10.330,-6.364,+57 +vit_small_r26_s32_224.augreg_in21k_ft_in1k,70.530,29.470,90.110,9.890,36.43,224,0.900,bicubic,-11.334,-5.912,-42 +resnetv2_50.a1h_in1k,70.530,29.470,89.120,10.880,25.55,288,1.000,bicubic,-10.868,-6.606,+1 +swinv2_tiny_window8_256.ms_in1k,70.510,29.490,89.500,10.500,28.35,256,0.900,bicubic,-11.310,-6.494,-41 +deit_small_distilled_patch16_224.fb_in1k,70.510,29.490,89.470,10.530,22.44,224,0.900,bicubic,-10.708,-5.914,+15 +resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k,70.500,29.500,89.750,10.250,44.18,224,0.875,bilinear,-10.424,-5.984,+44 +legacy_senet154.in1k,70.500,29.500,88.980,11.020,115.09,224,0.875,bilinear,-10.808,-6.512,+6 +halonet50ts.a1h_in1k,70.480,29.520,89.340,10.660,22.73,256,0.940,bicubic,-11.180,-6.270,-35 +resnetaa50.a1h_in1k,70.440,29.560,89.990,10.010,25.56,288,1.000,bicubic,-11.174,-5.812,-31 +tf_efficientnet_lite4.in1k,70.440,29.560,89.120,10.880,13.01,380,0.920,bilinear,-11.092,-6.544,-22 +poolformerv2_s36.sail_in1k,70.430,29.570,89.630,10.370,30.79,224,1.000,bicubic,-11.138,-6.060,-31 +crossvit_15_240.in1k,70.430,29.570,89.540,10.460,27.53,240,0.875,bicubic,-11.104,-6.152,-24 +twins_svt_small.in1k,70.430,29.570,89.360,10.640,24.06,224,0.900,bicubic,-11.248,-6.300,-43 +ecaresnet50t.a2_in1k,70.430,29.570,89.020,10.980,25.57,288,1.000,bicubic,-11.228,-6.532,-38 +resnest50d.in1k,70.430,29.570,88.760,11.240,27.48,224,0.875,bilinear,-10.534,-6.624,+33 +resnest50d_1s4x24d.in1k,70.420,29.580,89.220,10.780,25.68,224,0.875,bicubic,-10.568,-6.106,+27 +gcresnext50ts.ch_in1k,70.410,29.590,89.420,10.580,15.67,288,1.000,bicubic,-10.822,-6.124,-1 +seresnext101_64x4d.gluon_in1k,70.410,29.590,89.360,10.640,88.23,224,0.875,bicubic,-10.486,-5.936,+35 +gernet_l.idstcv_in1k,70.410,29.590,88.970,11.030,31.08,256,0.875,bilinear,-10.944,-6.560,-8 +cs3darknet_l.c2ns_in1k,70.350,29.650,89.750,10.250,21.16,288,0.950,bicubic,-10.546,-5.912,+33 +resnet152s.gluon_in1k,70.320,29.680,88.870,11.130,60.32,224,0.875,bicubic,-10.682,-6.540,+21 +vit_srelpos_small_patch16_224.sw_in1k,70.290,29.710,89.540,10.460,21.97,224,0.900,bicubic,-10.802,-5.792,+14 +repvgg_b3.rvgg_in1k,70.230,29.770,88.730,11.270,123.09,224,0.875,bilinear,-10.276,-6.524,+64 +coat_mini.in1k,70.200,29.800,89.460,10.540,10.34,224,0.900,bicubic,-11.070,-5.922,-9 +xception41p.ra3_in1k,70.200,29.800,89.100,10.900,26.91,299,0.940,bicubic,-11.772,-6.696,-74 +efficientnet_el.ra_in1k,70.150,29.850,89.300,10.700,10.59,300,0.904,bicubic,-11.162,-6.236,-15 +sebotnet33ts_256.a1h_in1k,70.150,29.850,88.820,11.180,13.70,256,0.940,bicubic,-11.016,-6.348,-2 +inception_resnet_v2.tf_in1k,70.130,29.870,88.690,11.310,55.84,299,0.897,bicubic,-10.332,-6.618,+66 +resnet50.d_in1k,70.120,29.880,88.740,11.260,25.56,288,1.000,bicubic,-10.852,-6.690,+16 +resnet50d.a1_in1k,70.120,29.880,88.350,11.650,25.58,288,1.000,bicubic,-11.330,-6.868,-32 +haloregnetz_b.ra3_in1k,70.110,29.890,88.900,11.100,11.68,224,0.940,bicubic,-10.938,-6.300,+8 +poolformer_s36.sail_in1k,70.100,29.900,89.140,10.860,30.86,224,0.900,bicubic,-11.330,-6.304,-33 +resmlp_36_224.fb_distilled_in1k,70.100,29.900,89.090,10.910,44.69,224,0.875,bicubic,-11.048,-6.388,-5 +ecaresnet50d_pruned.miil_in1k,70.090,29.910,89.510,10.490,19.94,288,0.950,bicubic,-10.700,-6.060,+30 +resnet50.c1_in1k,70.070,29.930,89.000,11.000,25.56,288,1.000,bicubic,-10.842,-6.552,+17 +gcresnet50t.ra2_in1k,70.050,29.950,89.520,10.480,25.90,288,1.000,bicubic,-11.406,-6.198,-39 +sehalonet33ts.ra2_in1k,70.050,29.950,88.730,11.270,13.69,256,0.940,bicubic,-10.906,-6.546,+11 +seresnext101_32x4d.gluon_in1k,70.020,29.980,88.940,11.060,48.96,224,0.875,bicubic,-10.872,-6.356,+16 +regnety_320.pycls_in1k,70.020,29.980,88.900,11.100,145.05,224,0.875,bicubic,-10.788,-6.338,+24 +seresnet50.a2_in1k,70.000,30.000,88.710,11.290,28.09,288,1.000,bicubic,-11.106,-6.512,-8 +levit_256.fb_dist_in1k,69.970,30.030,89.240,10.760,18.89,224,0.900,bicubic,-11.544,-6.252,-51 +levit_conv_256.fb_dist_in1k,69.970,30.030,89.240,10.760,18.89,224,0.900,bicubic,-11.550,-6.250,-53 +resnet152d.gluon_in1k,69.940,30.060,88.490,11.510,60.21,224,0.875,bicubic,-10.536,-6.712,+49 +maxvit_rmlp_pico_rw_256.sw_in1k,69.890,30.110,89.250,10.750,7.52,256,0.950,bicubic,-10.624,-5.964,+42 +pit_s_224.in1k,69.890,30.110,88.940,11.060,23.46,224,0.900,bicubic,-11.202,-6.630,-8 +swin_tiny_patch4_window7_224.ms_in22k_ft_in1k,69.850,30.150,90.410,9.590,28.29,224,0.900,bicubic,-11.118,-5.604,0 +resnext50_32x4d.ra_in1k,69.830,30.170,88.220,11.780,25.03,288,0.950,bicubic,-10.868,-7.170,+26 +regnety_016.tv2_in1k,69.810,30.190,89.360,10.640,11.20,224,0.965,bicubic,-10.858,-5.970,+28 +seresnet50.a1_in1k,69.810,30.190,88.550,11.450,28.09,288,1.000,bicubic,-11.292,-6.780,-15 +mobilevitv2_150.cvnets_in22k_ft_in1k,69.800,30.200,89.180,10.820,10.59,256,0.888,bicubic,-11.688,-6.488,-58 +resnet50.a1_in1k,69.770,30.230,88.350,11.650,25.56,288,1.000,bicubic,-11.444,-6.752,-30 +mobilevitv2_200.cvnets_in1k,69.750,30.250,88.620,11.380,18.45,256,0.888,bicubic,-11.384,-6.742,-23 +resnet50.tv2_in1k,69.750,30.250,88.590,11.410,25.56,224,0.965,bilinear,-11.100,-6.844,+8 +resnext50_32x4d.a2_in1k,69.750,30.250,88.200,11.800,25.03,288,1.000,bicubic,-11.554,-6.896,-41 +ese_vovnet39b.ra_in1k,69.730,30.270,89.550,10.450,24.57,288,0.950,bicubic,-10.620,-5.816,+47 +lambda_resnet50ts.a1h_in1k,69.730,30.270,88.830,11.170,21.54,256,0.950,bicubic,-11.426,-6.268,-29 +resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k,69.710,30.290,89.420,10.580,25.03,224,0.875,bilinear,-10.628,-5.978,+48 +xcit_tiny_24_p16_224.fb_dist_in1k,69.710,30.290,88.720,11.280,12.12,224,1.000,bicubic,-10.744,-6.498,+39 +xcit_tiny_12_p16_384.fb_dist_in1k,69.690,30.310,89.020,10.980,6.72,384,1.000,bicubic,-11.248,-6.394,-10 +tresnet_m.miil_in1k,69.670,30.330,88.000,12.000,31.39,224,0.875,bilinear,-11.128,-6.856,+3 +resmlp_24_224.fb_distilled_in1k,69.660,30.340,89.070,10.930,30.02,224,0.875,bicubic,-11.096,-6.154,+6 +resnext101_64x4d.gluon_in1k,69.660,30.340,88.260,11.740,83.46,224,0.875,bicubic,-10.940,-6.732,+20 +resnext50d_32x4d.bt_in1k,69.640,30.360,89.250,10.750,25.05,288,0.950,bicubic,-11.024,-6.170,+14 +regnetx_032.tv2_in1k,69.620,30.380,89.360,10.640,15.30,224,0.965,bicubic,-11.306,-5.918,-14 +efficientnet_b3_pruned.in1k,69.590,30.410,88.980,11.020,9.86,300,0.904,bicubic,-11.262,-6.264,-5 +convnextv2_pico.fcmae_ft_in1k,69.580,30.420,89.230,10.770,9.07,288,0.950,bicubic,-11.506,-6.250,-28 +eva02_tiny_patch14_336.mim_in22k_ft_in1k,69.560,30.440,89.320,10.680,5.76,336,1.000,bicubic,-11.070,-6.206,+12 +inception_resnet_v2.tf_ens_adv_in1k,69.560,30.440,88.490,11.510,55.84,299,0.897,bicubic,-10.418,-6.456,+59 +nf_resnet50.ra2_in1k,69.550,30.450,88.730,11.270,25.56,288,0.940,bicubic,-11.090,-6.602,+9 +gernet_m.idstcv_in1k,69.540,30.460,88.690,11.310,21.14,224,0.875,bilinear,-11.194,-6.496,-1 +repvgg_b3g4.rvgg_in1k,69.530,30.470,88.460,11.540,83.83,224,0.875,bilinear,-10.686,-6.632,+47 +gcresnet33ts.ra2_in1k,69.510,30.490,89.110,10.890,19.88,288,1.000,bicubic,-11.090,-6.210,+8 +efficientnet_el_pruned.in1k,69.510,30.490,88.930,11.070,10.59,300,0.904,bicubic,-10.790,-6.292,+37 +efficientnet_b2.ra_in1k,69.490,30.510,88.690,11.310,9.11,288,1.000,bicubic,-11.120,-6.624,+6 +resnext50_32x4d.a1_in1k,69.490,30.510,88.340,11.660,25.03,288,1.000,bicubic,-11.976,-6.834,-80 +swin_tiny_patch4_window7_224.ms_in1k,69.470,30.530,89.060,10.940,28.29,224,0.900,bicubic,-11.906,-6.484,-71 +regnetx_320.pycls_in1k,69.470,30.530,88.270,11.730,107.81,224,0.875,bicubic,-10.776,-6.752,+38 +vit_base_patch32_224.augreg_in21k_ft_in1k,69.450,30.550,89.440,10.560,88.22,224,0.900,bicubic,-11.266,-6.126,-8 +res2net101d.in1k,69.450,30.550,88.710,11.290,45.23,224,0.875,bilinear,-11.774,-6.642,-60 +gcvit_xxtiny.in1k,69.440,30.560,88.850,11.150,12.00,224,0.875,bicubic,-10.288,-6.230,+65 +cspresnext50.ra_in1k,69.440,30.560,88.590,11.410,20.57,256,0.887,bilinear,-11.116,-6.732,+3 +rexnet_150.nav_in1k,69.410,30.590,88.980,11.020,9.73,224,0.875,bicubic,-10.914,-6.194,+24 +resnext50_32x4d.tv2_in1k,69.400,30.600,88.440,11.560,25.03,224,0.965,bilinear,-11.782,-6.900,-59 +seresnet33ts.ra2_in1k,69.380,30.620,89.190,10.810,19.78,288,1.000,bicubic,-11.404,-6.172,-21 +convmixer_768_32.in1k,69.380,30.620,88.880,11.120,21.11,224,0.960,bicubic,-10.788,-6.194,+36 +inception_v4.tf_in1k,69.380,30.620,88.780,11.220,42.68,299,0.875,bicubic,-10.776,-6.188,+38 +eca_resnet33ts.ra2_in1k,69.370,30.630,89.210,10.790,19.68,288,1.000,bicubic,-11.302,-6.154,-12 +xception71.tf_in1k,69.360,30.640,88.260,11.740,42.34,299,0.903,bicubic,-10.512,-6.668,+45 +darknet53.c2ns_in1k,69.350,30.650,88.780,11.220,41.61,288,1.000,bicubic,-11.186,-6.654,-4 +cs3darknet_focus_l.c2ns_in1k,69.340,30.660,89.420,10.580,21.15,288,0.950,bicubic,-11.540,-6.262,-34 +legacy_seresnext101_32x4d.in1k,69.340,30.660,88.050,11.950,48.96,224,0.875,bilinear,-10.890,-6.976,+26 +vit_small_patch16_384.augreg_in1k,69.300,30.700,89.000,11.000,22.20,384,1.000,bicubic,-11.816,-6.574,-61 +mobilevitv2_175.cvnets_in1k,69.290,30.710,88.960,11.040,14.25,256,0.888,bicubic,-11.570,-6.296,-34 +efficientformer_l1.snap_dist_in1k,69.280,30.720,88.560,11.440,12.29,224,0.950,bicubic,-11.218,-6.428,-5 +vit_small_patch32_384.augreg_in21k_ft_in1k,69.270,30.730,89.820,10.180,22.92,384,1.000,bicubic,-11.216,-5.776,-5 +convnext_pico_ols.d1_in1k,69.230,30.770,88.830,11.170,9.06,288,1.000,bicubic,-11.234,-6.416,-3 +edgenext_small_rw.sw_in1k,69.210,30.790,88.740,11.260,7.83,320,1.000,bicubic,-11.248,-6.450,-2 +vit_base_patch16_384.augreg_in1k,69.190,30.810,88.380,11.620,86.86,384,1.000,bicubic,-11.912,-6.740,-65 +resnet50.b2k_in1k,69.180,30.820,88.660,11.340,25.56,288,1.000,bicubic,-11.274,-6.658,-3 +resnet50.a1h_in1k,69.130,30.870,88.510,11.490,25.56,224,1.000,bicubic,-11.546,-6.796,-26 +resnet152c.gluon_in1k,69.130,30.870,87.890,12.110,60.21,224,0.875,bicubic,-10.780,-6.954,+29 +resnet50.b1k_in1k,69.100,30.900,88.740,11.260,25.56,288,1.000,bicubic,-11.606,-6.692,-30 +tf_efficientnetv2_b2.in1k,69.100,30.900,88.220,11.780,10.10,260,0.890,bicubic,-11.094,-6.822,+16 +mixnet_xl.ra_in1k,69.090,30.910,88.310,11.690,11.90,224,0.875,bicubic,-11.392,-6.626,-13 +resnetblur50.bt_in1k,69.070,30.930,88.450,11.550,25.56,288,0.950,bicubic,-11.164,-6.784,+11 +repvgg_b2g4.rvgg_in1k,69.010,30.990,88.360,11.640,61.76,224,0.875,bilinear,-10.372,-6.316,+65 +regnety_160.pycls_in1k,69.010,30.990,88.270,11.730,83.59,224,0.875,bicubic,-11.288,-6.692,+4 +resnet101d.gluon_in1k,69.010,30.990,88.080,11.920,44.57,224,0.875,bicubic,-11.416,-6.944,-10 +xception65.tf_in1k,68.950,31.050,88.470,11.530,39.92,299,0.903,bicubic,-10.606,-6.184,+50 +resnext101_32x4d.gluon_in1k,68.950,31.050,88.340,11.660,44.18,224,0.875,bicubic,-11.390,-6.590,-5 +poolformerv2_s24.sail_in1k,68.940,31.060,88.670,11.330,21.34,224,1.000,bicubic,-11.808,-6.640,-43 +tf_efficientnet_b2.ap_in1k,68.930,31.070,88.330,11.670,9.11,260,0.890,bicubic,-11.378,-6.698,-5 +cspdarknet53.ra_in1k,68.920,31.080,88.600,11.400,27.64,256,0.887,bilinear,-11.142,-6.480,+12 +convnext_pico.d1_in1k,68.900,31.100,88.470,11.530,9.05,288,0.950,bicubic,-11.514,-6.580,-15 +mobilevitv2_150.cvnets_in1k,68.890,31.110,88.080,11.920,10.59,256,0.888,bicubic,-11.480,-6.994,-14 +resnet50d.a2_in1k,68.890,31.110,87.990,12.010,25.58,288,1.000,bicubic,-12.274,-7.094,-90 +regnety_120.pycls_in1k,68.860,31.140,88.330,11.670,51.82,224,0.875,bicubic,-11.526,-6.798,-17 +resnet152.a3_in1k,68.820,31.180,87.760,12.240,60.19,224,0.950,bicubic,-11.726,-7.240,-34 +resnet152.gluon_in1k,68.820,31.180,87.710,12.290,60.19,224,0.875,bicubic,-10.874,-7.026,+30 +poolformer_s24.sail_in1k,68.780,31.220,88.170,11.830,21.39,224,0.900,bicubic,-11.516,-6.902,-11 +dpn107.mx_in1k,68.780,31.220,88.130,11.870,86.92,224,0.875,bicubic,-11.388,-6.812,+1 +gmlp_s16_224.ra3_in1k,68.780,31.220,88.070,11.930,19.42,224,0.875,bicubic,-10.864,-6.552,+34 +dpn131.mx_in1k,68.770,31.230,87.570,12.430,79.25,224,0.875,bicubic,-11.044,-7.130,+18 +darknetaa53.c2ns_in1k,68.760,31.240,88.720,11.280,36.02,288,1.000,bilinear,-11.742,-6.602,-36 +tf_efficientnet_b2.aa_in1k,68.760,31.240,87.950,12.050,9.11,260,0.890,bicubic,-11.324,-6.956,-1 +resnet101s.gluon_in1k,68.720,31.280,87.900,12.100,44.67,224,0.875,bicubic,-11.582,-7.250,-18 +deit_small_patch16_224.fb_in1k,68.710,31.290,88.200,11.800,22.05,224,0.900,bicubic,-11.134,-6.844,+10 +regnety_080.pycls_in1k,68.710,31.290,87.970,12.030,39.18,224,0.875,bicubic,-11.158,-6.862,+6 +seresnext50_32x4d.gluon_in1k,68.660,31.340,88.360,11.640,27.56,224,0.875,bicubic,-11.250,-6.464,+2 +resnet50.ram_in1k,68.630,31.370,88.320,11.680,25.56,288,0.950,bicubic,-11.346,-6.732,-3 +hrnet_w64.ms_in1k,68.630,31.370,88.070,11.930,128.06,224,0.875,bilinear,-10.844,-6.576,+36 +xcit_tiny_12_p8_224.fb_in1k,68.580,31.420,88.720,11.280,6.71,224,1.000,bicubic,-11.108,-5.990,+18 +resnet50.a2_in1k,68.570,31.430,87.990,12.010,25.56,288,1.000,bicubic,-12.202,-6.998,-67 +tf_efficientnet_b3.in1k,68.530,31.470,88.700,11.300,12.23,300,0.904,bicubic,-12.348,-6.600,-77 +dpn98.mx_in1k,68.520,31.480,87.610,12.390,61.57,224,0.875,bicubic,-11.150,-7.044,+19 +regnetx_160.pycls_in1k,68.510,31.490,88.460,11.540,54.28,224,0.875,bicubic,-11.356,-6.368,-1 +rexnet_130.nav_in1k,68.460,31.540,88.040,11.960,7.56,224,0.875,bicubic,-11.044,-6.638,+25 +cspresnet50.ra_in1k,68.460,31.540,87.950,12.050,21.62,256,0.887,bilinear,-11.130,-6.762,+21 +regnety_064.pycls_in1k,68.450,31.550,88.060,11.940,30.58,224,0.875,bicubic,-11.264,-6.706,+9 +tf_efficientnet_el.in1k,68.440,31.560,88.210,11.790,10.59,300,0.904,bicubic,-11.812,-6.908,-27 +xcit_tiny_24_p16_224.fb_in1k,68.420,31.580,88.290,11.710,12.12,224,1.000,bicubic,-11.028,-6.588,+27 +cait_xxs36_224.fb_dist_in1k,68.410,31.590,88.650,11.350,17.30,224,1.000,bicubic,-11.336,-6.224,+3 +skresnext50_32x4d.ra_in1k,68.400,31.600,87.560,12.440,27.48,224,0.875,bicubic,-11.762,-7.080,-21 +resnet50.fb_ssl_yfcc100m_ft_in1k,68.380,31.620,88.550,11.450,25.56,224,0.875,bilinear,-10.854,-6.276,+43 +fbnetv3_d.ra2_in1k,68.350,31.650,88.430,11.570,10.31,256,0.950,bilinear,-11.332,-6.514,+6 +dla102x2.in1k,68.350,31.650,87.890,12.110,41.28,224,0.875,bilinear,-11.094,-6.748,+24 +res2net50d.in1k,68.300,31.700,88.110,11.890,25.72,224,0.875,bilinear,-11.954,-6.926,-36 +efficientnet_b2_pruned.in1k,68.300,31.700,88.100,11.900,8.31,260,0.890,bicubic,-11.620,-6.752,-18 +resmlp_big_24_224.fb_in1k,68.300,31.700,87.540,12.460,129.14,224,0.875,bicubic,-12.736,-7.478,-109 +vit_base_patch16_224.sam_in1k,68.290,31.710,87.730,12.270,86.57,224,0.900,bicubic,-11.954,-7.026,-36 +resnext50_32x4d.gluon_in1k,68.290,31.710,87.340,12.660,25.03,224,0.875,bicubic,-11.070,-7.090,+25 +ecaresnet26t.ra2_in1k,68.260,31.740,88.810,11.190,16.01,320,0.950,bicubic,-11.590,-6.280,-16 +efficientformerv2_s1.snap_dist_in1k,68.230,31.770,88.320,11.680,6.19,224,0.950,bicubic,-11.458,-6.734,-2 +tf_efficientnet_lite3.in1k,68.230,31.770,87.720,12.280,8.20,300,0.904,bilinear,-11.578,-7.192,-11 +resnet101.a3_in1k,68.220,31.780,87.630,12.370,44.55,224,0.950,bicubic,-11.594,-6.976,-13 +pit_xs_distilled_224.in1k,68.190,31.810,87.730,12.270,11.00,224,0.900,bicubic,-10.990,-6.632,+35 +resnet50.ra_in1k,68.150,31.850,87.900,12.100,25.56,288,0.950,bicubic,-11.686,-7.066,-17 +fbnetv3_b.ra2_in1k,68.140,31.860,87.920,12.080,8.60,256,0.950,bilinear,-11.002,-6.822,+35 +regnetx_120.pycls_in1k,68.130,31.870,87.610,12.390,46.11,224,0.875,bicubic,-11.458,-7.132,0 +resmlp_36_224.fb_in1k,68.090,31.910,88.180,11.820,44.69,224,0.875,bicubic,-11.682,-6.704,-16 +resnet50.bt_in1k,68.080,31.920,87.810,12.190,25.56,288,0.950,bicubic,-11.560,-7.082,-5 +dpn68b.ra_in1k,68.070,31.930,87.380,12.620,12.61,288,1.000,bicubic,-11.292,-7.058,+12 +regnetx_016.tv2_in1k,68.050,31.950,88.230,11.770,9.19,224,0.965,bicubic,-11.386,-6.538,+7 +resnetrs50.tf_in1k,68.020,31.980,87.730,12.270,35.69,224,0.910,bicubic,-11.876,-7.242,-32 +dpn92.mx_in1k,67.980,32.020,87.600,12.400,37.67,224,0.875,bicubic,-12.058,-7.260,-39 +nf_regnet_b1.ra2_in1k,67.970,32.030,88.220,11.780,10.22,288,0.900,bicubic,-11.336,-6.520,+13 +resnet50d.gluon_in1k,67.920,32.080,87.120,12.880,25.58,224,0.875,bicubic,-11.158,-7.348,+30 +resnetv2_50x1_bit.goog_in21k_ft_in1k,67.900,32.100,89.270,10.730,25.55,448,1.000,bilinear,-12.440,-6.410,-67 +levit_192.fb_dist_in1k,67.900,32.100,87.900,12.100,10.95,224,0.900,bicubic,-11.938,-6.884,-29 +levit_conv_192.fb_dist_in1k,67.900,32.100,87.890,12.110,10.95,224,0.900,bicubic,-11.938,-6.888,-31 +regnetx_080.pycls_in1k,67.890,32.110,87.000,13.000,39.57,224,0.875,bicubic,-11.312,-7.552,+18 +tf_efficientnetv2_b1.in1k,67.870,32.130,87.830,12.170,8.14,240,0.882,bicubic,-11.592,-6.892,-5 +efficientnet_em.ra2_in1k,67.860,32.140,88.140,11.860,6.90,240,0.882,bicubic,-11.380,-6.654,+13 +legacy_seresnext50_32x4d.in1k,67.860,32.140,87.620,12.380,27.56,224,0.875,bilinear,-11.216,-6.812,+24 +resnext101_32x8d.tv_in1k,67.840,32.160,87.490,12.510,88.79,224,0.875,bilinear,-11.470,-7.030,+3 +resmlp_24_224.fb_in1k,67.820,32.180,87.610,12.390,30.02,224,0.875,bicubic,-11.554,-6.936,-3 +lambda_resnet26t.c1_in1k,67.800,32.200,87.790,12.210,10.96,256,0.940,bicubic,-11.288,-6.800,+19 +ecaresnet50t.a3_in1k,67.790,32.210,87.560,12.440,25.57,224,0.950,bicubic,-11.762,-7.134,-17 +hrnet_w44.ms_in1k,67.770,32.230,87.530,12.470,67.06,224,0.875,bilinear,-11.122,-6.834,+29 +hrnet_w48.ms_in1k,67.760,32.240,87.420,12.580,77.47,224,0.875,bilinear,-11.542,-7.096,0 +resnet33ts.ra2_in1k,67.730,32.270,88.100,11.900,19.68,288,1.000,bicubic,-11.996,-6.728,-34 +coat_lite_mini.in1k,67.710,32.290,87.710,12.290,11.01,224,0.900,bicubic,-11.392,-6.898,+13 +tf_efficientnet_b0.ns_jft_in1k,67.700,32.300,88.070,11.930,5.29,224,0.875,bicubic,-10.970,-6.304,+42 +resnext50_32x4d.a3_in1k,67.700,32.300,86.930,13.070,25.03,224,0.950,bicubic,-11.568,-7.376,+1 +legacy_xception.tf_in1k,67.690,32.310,87.560,12.440,22.86,299,0.897,bicubic,-11.350,-6.822,+15 +eca_botnext26ts_256.c1_in1k,67.680,32.320,87.080,12.920,10.59,256,0.950,bicubic,-11.588,-7.526,-3 +regnetx_064.pycls_in1k,67.670,32.330,87.530,12.470,26.21,224,0.875,bicubic,-11.396,-6.928,+12 +convnext_femto_ols.d1_in1k,67.650,32.350,87.390,12.610,5.23,288,0.950,bicubic,-11.274,-7.136,+18 +resnet32ts.ra2_in1k,67.640,32.360,87.580,12.420,17.96,288,1.000,bicubic,-11.752,-7.072,-18 +halonet26t.a1h_in1k,67.620,32.380,87.250,12.750,12.48,256,0.950,bicubic,-11.486,-7.056,+4 +inception_v3.gluon_in1k,67.590,32.410,87.450,12.550,23.83,299,0.875,bicubic,-11.216,-6.924,+23 +hrnet_w40.ms_in1k,67.580,32.420,87.140,12.860,57.56,224,0.875,bilinear,-11.350,-7.324,+13 +regnety_040.pycls_in1k,67.570,32.430,87.490,12.510,20.65,224,0.875,bicubic,-11.662,-7.166,-5 +resnet101c.gluon_in1k,67.560,32.440,87.160,12.840,44.57,224,0.875,bicubic,-11.982,-7.426,-32 +dla169.in1k,67.550,32.450,87.570,12.430,53.39,224,0.875,bilinear,-11.158,-6.776,+28 +legacy_seresnet152.in1k,67.550,32.450,87.390,12.610,66.82,224,0.875,bilinear,-11.110,-6.980,+31 +tf_efficientnet_b1.ap_in1k,67.520,32.480,87.750,12.250,7.79,240,0.882,bicubic,-11.760,-6.558,-16 +efficientnet_b1.ft_in1k,67.520,32.480,87.470,12.530,7.79,256,1.000,bicubic,-11.280,-6.872,+18 +mobilevitv2_125.cvnets_in1k,67.480,32.520,87.570,12.430,7.48,256,0.888,bicubic,-12.200,-7.288,-47 +tf_efficientnet_cc_b1_8e.in1k,67.480,32.520,87.290,12.710,39.72,240,0.882,bicubic,-11.822,-7.084,-20 +eca_halonext26ts.c1_in1k,67.480,32.520,87.240,12.760,10.76,256,0.940,bicubic,-12.006,-7.360,-35 +res2net101_26w_4s.in1k,67.460,32.540,87.000,13.000,45.21,224,0.875,bilinear,-11.742,-7.436,-12 +resnet101.gluon_in1k,67.450,32.550,87.230,12.770,44.55,224,0.875,bicubic,-11.860,-7.292,-26 +res2net50_26w_8s.in1k,67.440,32.560,87.250,12.750,48.40,224,0.875,bilinear,-11.502,-7.044,0 +regnety_008_tv.tv2_in1k,67.410,32.590,88.040,11.960,6.43,224,0.965,bicubic,-11.264,-6.346,+20 +regnety_032.pycls_in1k,67.410,32.590,87.280,12.720,19.44,224,0.875,bicubic,-11.466,-7.128,+3 +resnet34d.ra2_in1k,67.400,32.600,87.960,12.040,21.82,288,0.950,bicubic,-11.036,-6.384,+33 +tf_efficientnet_b2.in1k,67.400,32.600,87.580,12.420,9.11,260,0.890,bicubic,-12.204,-7.134,-51 +convnextv2_femto.fcmae_ft_in1k,67.340,32.660,87.580,12.420,5.23,288,0.950,bicubic,-11.998,-6.980,-34 +cait_xxs24_224.fb_dist_in1k,67.340,32.660,87.520,12.480,11.96,224,1.000,bicubic,-11.044,-6.796,+38 +xception41.tf_in1k,67.260,32.740,87.200,12.800,26.97,299,0.903,bicubic,-11.244,-7.076,+20 +coat_tiny.in1k,67.240,32.760,87.310,12.690,5.50,224,0.900,bicubic,-11.186,-6.738,+30 +regnetx_032.pycls_in1k,67.240,32.760,86.990,13.010,15.30,224,0.875,bicubic,-10.928,-7.092,+47 +resnest26d.gluon_in1k,67.220,32.780,87.180,12.820,17.07,224,0.875,bilinear,-11.264,-7.114,+22 +convnext_femto.d1_in1k,67.190,32.810,87.480,12.520,5.22,288,0.950,bicubic,-11.526,-6.950,+7 +repvgg_b2.rvgg_in1k,67.160,32.840,87.320,12.680,89.02,224,0.875,bilinear,-11.632,-7.100,0 +vit_relpos_base_patch32_plus_rpn_256.sw_in1k,67.160,32.840,86.480,13.520,119.42,256,0.900,bicubic,-12.324,-7.658,-52 +botnet26t_256.c1_in1k,67.140,32.860,87.510,12.490,12.49,256,0.950,bicubic,-12.116,-7.024,-33 +legacy_seresnet101.in1k,67.110,32.890,87.050,12.950,49.33,224,0.875,bilinear,-11.276,-7.212,+27 +resnet50s.gluon_in1k,67.080,32.920,86.860,13.140,25.68,224,0.875,bicubic,-11.638,-7.382,+1 +dla60x.in1k,67.070,32.930,87.200,12.800,17.35,224,0.875,bilinear,-11.170,-6.834,+36 +visformer_tiny.in1k,67.050,32.950,87.060,12.940,10.32,224,0.900,bicubic,-11.112,-7.104,+39 +dla60_res2net.in1k,67.040,32.960,87.150,12.850,20.85,224,0.875,bilinear,-11.422,-7.052,+15 +resnet34.a1_in1k,67.030,32.970,86.290,13.710,21.80,288,1.000,bicubic,-10.888,-6.624,+53 +xcit_tiny_12_p16_224.fb_dist_in1k,67.020,32.980,87.390,12.610,6.72,224,1.000,bicubic,-11.554,-6.808,+3 +resnet152.tv_in1k,66.990,33.010,87.550,12.450,60.19,224,0.875,bilinear,-11.332,-6.498,+25 +dla102x.in1k,66.980,33.020,86.780,13.220,26.31,224,0.875,bilinear,-11.518,-7.456,+5 +lambda_resnet26rpt_256.c1_in1k,66.960,33.040,87.130,12.870,10.99,256,0.940,bicubic,-12.008,-7.308,-26 +mixnet_l.ft_in1k,66.960,33.040,86.930,13.070,7.33,224,0.875,bicubic,-12.006,-7.250,-26 +repvgg_b1.rvgg_in1k,66.930,33.070,86.780,13.220,57.42,224,0.875,bilinear,-11.438,-7.316,+18 +pit_xs_224.in1k,66.920,33.080,87.280,12.720,10.62,224,0.900,bicubic,-11.260,-6.884,+28 +resnet50d.a3_in1k,66.920,33.080,86.540,13.460,25.58,224,0.950,bicubic,-11.802,-7.696,-12 +pvt_v2_b1.in1k,66.910,33.090,87.420,12.580,14.01,224,0.900,bicubic,-11.792,-7.082,-9 +res2net50_26w_6s.in1k,66.910,33.090,86.880,13.120,37.05,224,0.875,bilinear,-11.658,-7.242,-5 +tf_efficientnet_b1.aa_in1k,66.900,33.100,87.030,12.970,7.79,240,0.882,bicubic,-11.930,-7.168,-23 +xcit_nano_12_p8_384.fb_dist_in1k,66.870,33.130,87.110,12.890,3.05,384,1.000,bicubic,-10.950,-6.930,+47 +efficientnet_es.ra_in1k,66.860,33.140,86.710,13.290,5.44,224,0.875,bicubic,-11.194,-7.214,+30 +mobilevit_s.cvnets_in1k,66.850,33.150,87.070,12.930,5.58,256,0.900,bicubic,-11.462,-7.074,+14 +regnetx_040.pycls_in1k,66.850,33.150,86.740,13.260,22.12,224,0.875,bicubic,-11.642,-7.502,-5 +hrnet_w32.ms_in1k,66.780,33.220,87.290,12.710,41.23,224,0.875,bilinear,-11.664,-6.898,-1 +resnet50.am_in1k,66.780,33.220,86.740,13.260,25.56,224,0.875,bicubic,-12.218,-7.656,-40 +tf_mixnet_l.in1k,66.780,33.220,86.480,13.520,7.33,224,0.875,bicubic,-11.996,-7.522,-25 +seresnext26t_32x4d.bt_in1k,66.770,33.230,86.720,13.280,16.81,288,0.950,bicubic,-11.974,-7.592,-24 +hrnet_w30.ms_in1k,66.760,33.240,86.790,13.210,37.71,224,0.875,bilinear,-11.432,-7.432,+14 +SelecSls60b.in1k,66.760,33.240,86.540,13.460,32.77,224,0.875,bicubic,-11.654,-7.494,-1 +hrnet_w18.ms_aug_in1k,66.750,33.250,87.480,12.520,21.30,224,0.950,bilinear,-11.376,-6.572,+17 +tf_efficientnetv2_b0.in1k,66.700,33.300,86.690,13.310,7.14,224,0.875,bicubic,-11.658,-7.324,+2 +vit_small_patch16_224.augreg_in1k,66.690,33.310,86.720,13.280,22.05,224,0.900,bicubic,-12.156,-7.568,-38 +wide_resnet101_2.tv_in1k,66.680,33.320,87.030,12.970,126.89,224,0.875,bilinear,-12.158,-7.252,-39 +seresnext26d_32x4d.bt_in1k,66.680,33.320,86.830,13.170,16.81,288,0.950,bicubic,-12.134,-7.410,-36 +dla60_res2next.in1k,66.660,33.340,87.020,12.980,17.03,224,0.875,bilinear,-11.774,-7.124,-10 +wide_resnet50_2.tv_in1k,66.650,33.350,86.800,13.200,68.88,224,0.875,bilinear,-11.830,-7.286,-15 +inception_v3.tf_adv_in1k,66.630,33.370,86.590,13.410,23.83,299,0.875,bicubic,-10.962,-7.140,+39 +mobilevitv2_100.cvnets_in1k,66.610,33.390,87.020,12.980,4.90,256,0.888,bicubic,-11.466,-7.150,+12 +vit_tiny_patch16_384.augreg_in21k_ft_in1k,66.580,33.420,87.250,12.750,5.79,384,1.000,bicubic,-11.844,-7.290,-13 +cs3darknet_m.c2ns_in1k,66.580,33.420,87.180,12.820,9.31,288,0.950,bicubic,-11.054,-6.836,+35 +levit_128.fb_dist_in1k,66.560,33.440,86.740,13.260,9.21,224,0.900,bicubic,-11.930,-7.272,-22 +levit_conv_128.fb_dist_in1k,66.550,33.450,86.730,13.270,9.21,224,0.900,bicubic,-11.944,-7.278,-25 +resnet50c.gluon_in1k,66.540,33.460,86.170,13.830,25.58,224,0.875,bicubic,-11.472,-7.818,+12 +dla102.in1k,66.530,33.470,86.900,13.100,33.27,224,0.875,bilinear,-11.492,-7.032,+10 +tf_efficientnet_b1.in1k,66.530,33.470,86.710,13.290,7.79,240,0.882,bicubic,-12.030,-7.384,-31 +vit_base_patch16_224.augreg_in1k,66.480,33.520,86.260,13.740,86.57,224,0.900,bicubic,-12.674,-7.830,-70 +vit_base_patch32_384.augreg_in1k,66.430,33.570,86.960,13.040,88.30,384,1.000,bicubic,-12.322,-7.264,-46 +gmixer_24_224.ra3_in1k,66.430,33.570,86.160,13.840,24.72,224,0.875,bicubic,-11.596,-7.508,+6 +inception_v3.tf_in1k,66.420,33.580,86.680,13.320,23.83,299,0.875,bicubic,-11.442,-7.186,+17 +bat_resnext26ts.ch_in1k,66.390,33.610,86.850,13.150,10.73,256,0.900,bicubic,-11.862,-7.248,-12 +hardcorenas_f.miil_green_in1k,66.360,33.640,86.190,13.810,8.20,224,0.875,bilinear,-11.738,-7.616,-2 +seresnext26ts.ch_in1k,66.330,33.670,86.710,13.290,10.39,288,1.000,bicubic,-11.942,-7.384,-15 +coat_lite_tiny.in1k,66.290,33.710,86.960,13.040,5.72,224,0.900,bicubic,-11.230,-6.962,+26 +eca_resnext26ts.ch_in1k,66.270,33.730,86.410,13.590,10.30,288,1.000,bicubic,-11.730,-7.516,+3 +legacy_seresnet50.in1k,66.270,33.730,86.300,13.700,28.09,224,0.875,bilinear,-11.374,-7.458,+18 +efficientnet_b0.ra_in1k,66.250,33.750,85.970,14.030,5.29,224,0.875,bicubic,-11.444,-7.562,+15 +cs3darknet_focus_m.c2ns_in1k,66.230,33.770,87.080,12.920,9.30,288,0.950,bicubic,-11.054,-6.886,+36 +SelecSls60.in1k,66.220,33.780,86.330,13.670,30.67,224,0.875,bicubic,-11.764,-7.502,0 +tf_efficientnet_cc_b0_8e.in1k,66.210,33.790,86.230,13.770,24.01,224,0.875,bicubic,-11.696,-7.430,+4 +tf_efficientnet_em.in1k,66.170,33.830,86.350,13.650,6.90,240,0.882,bicubic,-11.952,-7.696,-12 +res2net50_26w_4s.in1k,66.150,33.850,86.610,13.390,25.70,224,0.875,bilinear,-11.800,-7.242,-1 +resnext50_32x4d.tv_in1k,66.150,33.850,86.040,13.960,25.03,224,0.875,bilinear,-11.468,-7.656,+13 +resmlp_12_224.fb_distilled_in1k,66.120,33.880,86.620,13.380,15.35,224,0.875,bicubic,-11.834,-6.940,-6 +densenetblur121d.ra_in1k,66.120,33.880,86.600,13.400,8.00,288,0.950,bicubic,-11.200,-7.190,+25 +inception_v3.tv_in1k,66.120,33.880,86.330,13.670,23.83,299,0.875,bicubic,-11.314,-7.144,+20 +resnet50.a3_in1k,66.100,33.900,85.820,14.180,25.56,224,0.950,bicubic,-11.948,-7.960,-14 +efficientnet_b1_pruned.in1k,66.080,33.920,86.550,13.450,6.33,240,0.882,bicubic,-12.162,-7.342,-27 +regnety_016.pycls_in1k,66.080,33.920,86.370,13.630,11.20,224,0.875,bicubic,-11.782,-7.348,-3 +resnet26t.ra2_in1k,66.070,33.930,86.680,13.320,16.01,320,1.000,bicubic,-12.262,-7.444,-35 +gcresnext26ts.ch_in1k,66.040,33.960,86.750,13.250,10.48,288,1.000,bicubic,-12.374,-7.420,-41 +resnet50.gluon_in1k,66.030,33.970,86.280,13.720,25.56,224,0.875,bicubic,-11.550,-7.438,+7 +rexnet_100.nav_in1k,66.020,33.980,86.490,13.510,4.80,224,0.875,bicubic,-11.842,-7.154,-8 +tinynet_a.in1k,66.020,33.980,85.790,14.210,6.19,192,0.875,bicubic,-11.638,-7.750,-1 +res2net50_14w_8s.in1k,66.000,34.000,86.230,13.770,25.06,224,0.875,bilinear,-12.158,-7.616,-28 +poolformerv2_s12.sail_in1k,65.890,34.110,86.510,13.490,11.89,224,1.000,bicubic,-12.114,-7.354,-19 +resnet34.a2_in1k,65.870,34.130,86.140,13.860,21.80,288,1.000,bicubic,-11.288,-7.134,+23 +densenet161.tv_in1k,65.850,34.150,86.460,13.540,28.68,224,0.875,bicubic,-11.508,-7.182,+10 +res2next50.in1k,65.850,34.150,85.830,14.170,24.67,224,0.875,bilinear,-12.392,-8.006,-39 +convnextv2_atto.fcmae_ft_in1k,65.840,34.160,86.170,13.830,3.71,288,0.950,bicubic,-11.920,-7.556,-10 +repvgg_b1g4.rvgg_in1k,65.820,34.180,86.110,13.890,39.97,224,0.875,bilinear,-11.762,-7.726,-4 +hardcorenas_e.miil_green_in1k,65.820,34.180,85.970,14.030,8.07,224,0.875,bilinear,-11.964,-7.728,-12 +regnetx_008.tv2_in1k,65.810,34.190,86.210,13.790,7.26,224,0.965,bicubic,-11.494,-7.456,+7 +xcit_tiny_12_p16_224.fb_in1k,65.790,34.210,86.220,13.780,6.72,224,1.000,bicubic,-11.350,-7.496,+16 +mobilenetv3_large_100.miil_in21k_ft_in1k,65.790,34.210,85.170,14.830,5.48,224,0.875,bilinear,-12.128,-8.596,-21 +ese_vovnet19b_dw.ra_in1k,65.760,34.240,86.480,13.520,6.54,288,0.950,bicubic,-11.984,-7.308,-15 +skresnet34.ra_in1k,65.740,34.260,85.950,14.050,22.28,224,0.875,bicubic,-11.170,-7.194,+25 +resnet101.tv_in1k,65.700,34.300,85.990,14.010,44.55,224,0.875,bilinear,-11.676,-7.552,-1 +convnext_tiny.fb_in22k_ft_in1k,65.650,34.350,86.620,13.380,28.59,288,1.000,bicubic,-13.248,-8.054,-97 +hardcorenas_d.miil_green_in1k,65.650,34.350,85.450,14.550,7.50,224,0.875,bilinear,-11.790,-8.040,-6 +poolformer_s12.sail_in1k,65.630,34.370,86.210,13.790,11.92,224,0.900,bicubic,-11.604,-7.322,+5 +dpn68b.mx_in1k,65.620,34.380,85.950,14.050,12.61,224,0.875,bicubic,-11.898,-7.902,-11 +SelecSls42b.in1k,65.610,34.390,85.840,14.160,32.46,224,0.875,bicubic,-11.560,-7.552,+6 +convnext_atto_ols.a2_in1k,65.600,34.400,86.260,13.740,3.70,288,0.950,bicubic,-11.616,-7.416,+3 +tf_efficientnet_b0.ap_in1k,65.500,34.500,85.570,14.430,5.29,224,0.875,bicubic,-11.590,-7.692,+8 +tf_efficientnet_lite2.in1k,65.400,34.600,86.020,13.980,6.09,260,0.890,bicubic,-12.064,-7.730,-13 +convmixer_1024_20_ks9_p14.in1k,65.390,34.610,85.610,14.390,24.38,224,0.960,bicubic,-11.546,-7.740,+13 +res2net50_48w_2s.in1k,65.360,34.640,85.960,14.040,25.29,224,0.875,bilinear,-12.154,-7.592,-16 +resnet26d.bt_in1k,65.340,34.660,86.000,14.000,16.01,288,0.950,bicubic,-12.068,-7.638,-13 +densenet201.tv_in1k,65.270,34.730,85.670,14.330,20.01,224,0.875,bicubic,-12.016,-7.810,-7 +dla60.in1k,65.230,34.770,85.750,14.250,22.04,224,0.875,bilinear,-11.816,-7.568,+4 +seresnet50.a3_in1k,65.190,34.810,85.300,14.700,28.09,224,0.950,bicubic,-11.838,-7.774,+4 +crossvit_9_dagger_240.in1k,65.180,34.820,86.570,13.430,8.78,240,0.875,bicubic,-11.800,-7.050,+5 +gernet_s.idstcv_in1k,65.150,34.850,85.530,14.470,8.17,224,0.875,bilinear,-11.760,-7.786,+9 +tf_efficientnet_cc_b0_4e.in1k,65.150,34.850,85.140,14.860,13.31,224,0.875,bicubic,-12.152,-8.196,-13 +mobilenetv2_120d.ra_in1k,65.060,34.940,85.980,14.020,5.83,224,0.875,bicubic,-12.242,-7.524,-15 +legacy_seresnext26_32x4d.in1k,65.030,34.970,85.630,14.370,16.79,224,0.875,bicubic,-12.078,-7.684,-5 +resnet34.bt_in1k,64.930,35.070,86.200,13.800,21.80,288,0.950,bicubic,-11.550,-7.154,+18 +convnext_atto.d2_in1k,64.920,35.080,86.230,13.770,3.70,288,0.950,bicubic,-12.088,-7.472,-2 +hrnet_w18.ms_in1k,64.920,35.080,85.730,14.270,21.30,224,0.875,bilinear,-11.832,-7.714,+5 +resnext26ts.ra2_in1k,64.890,35.110,85.710,14.290,10.30,288,1.000,bicubic,-12.284,-7.754,-13 +hardcorenas_c.miil_green_in1k,64.880,35.120,85.260,14.740,5.52,224,0.875,bilinear,-12.178,-7.908,-8 +efficientformerv2_s0.snap_dist_in1k,64.790,35.210,85.650,14.350,3.60,224,0.950,bicubic,-11.328,-7.210,+19 +densenet169.tv_in1k,64.790,35.210,85.250,14.750,14.15,224,0.875,bicubic,-11.110,-7.778,+25 +mixnet_m.ft_in1k,64.660,35.340,85.460,14.540,5.01,224,0.875,bicubic,-12.598,-7.958,-20 +xcit_nano_12_p8_224.fb_dist_in1k,64.610,35.390,85.990,14.010,3.05,224,1.000,bicubic,-11.722,-7.104,+14 +levit_128s.fb_dist_in1k,64.590,35.410,84.730,15.270,7.78,224,0.900,bicubic,-11.936,-8.142,+5 +levit_conv_128s.fb_dist_in1k,64.590,35.410,84.730,15.270,7.78,224,0.900,bicubic,-11.930,-8.256,+6 +repvgg_a2.rvgg_in1k,64.460,35.540,85.140,14.860,28.21,224,0.875,bilinear,-11.998,-7.862,+8 +xcit_nano_12_p16_384.fb_dist_in1k,64.420,35.580,85.310,14.690,3.05,384,1.000,bicubic,-11.038,-7.386,+28 +tf_efficientnet_lite1.in1k,64.380,35.620,85.480,14.520,5.42,240,0.882,bicubic,-12.264,-7.750,-5 +regnetx_016.pycls_in1k,64.380,35.620,85.470,14.530,9.19,224,0.875,bicubic,-12.544,-7.946,-10 +hardcorenas_b.miil_green_in1k,64.370,35.630,84.880,15.120,5.18,224,0.875,bilinear,-12.166,-7.880,-3 +resmlp_12_224.fb_in1k,64.350,35.650,85.590,14.410,15.35,224,0.875,bicubic,-12.298,-7.588,-8 +tf_efficientnet_b0.aa_in1k,64.300,35.700,85.270,14.730,5.29,224,0.875,bicubic,-12.534,-7.950,-11 +tf_mixnet_m.in1k,64.260,35.740,85.100,14.900,5.01,224,0.875,bicubic,-12.694,-8.054,-17 +densenet121.ra_in1k,64.250,35.750,85.830,14.170,7.98,288,0.950,bicubic,-12.250,-7.538,-2 +resnet26.bt_in1k,64.200,35.800,85.210,14.790,16.00,288,0.950,bicubic,-12.166,-7.970,0 +tf_efficientnet_es.in1k,64.200,35.800,84.740,15.260,5.44,224,0.875,bicubic,-12.400,-8.462,-10 +regnety_008.pycls_in1k,64.150,35.850,85.250,14.750,6.26,224,0.875,bicubic,-12.152,-7.810,+1 +dpn68.mx_in1k,64.120,35.880,85.080,14.920,12.61,224,0.875,bicubic,-12.226,-7.928,-2 +vit_small_patch32_224.augreg_in21k_ft_in1k,64.090,35.910,85.550,14.450,22.88,224,0.900,bicubic,-11.904,-7.248,+2 +mobilenetv2_140.ra_in1k,64.070,35.930,85.030,14.970,6.11,224,0.875,bicubic,-12.450,-7.836,-10 +hardcorenas_a.miil_green_in1k,63.690,36.310,84.400,15.600,5.26,224,0.875,bilinear,-12.240,-8.110,+3 +resnest14d.gluon_in1k,63.620,36.380,84.230,15.770,10.61,224,0.875,bilinear,-11.890,-8.274,+11 +regnety_004.tv2_in1k,63.600,36.400,84.870,15.130,4.34,224,0.965,bicubic,-11.998,-7.826,+8 +mobilevitv2_075.cvnets_in1k,63.590,36.410,84.950,15.050,2.87,256,0.888,bicubic,-12.018,-7.794,+6 +tf_mixnet_s.in1k,63.580,36.420,84.270,15.730,4.13,224,0.875,bicubic,-12.072,-8.366,+3 +tf_efficientnet_b0.in1k,63.520,36.480,84.860,15.140,5.29,224,0.875,bicubic,-13.012,-8.148,-18 +mixnet_s.ft_in1k,63.390,36.610,84.700,15.300,4.13,224,0.875,bicubic,-12.604,-8.570,-5 +mobilenetv3_large_100.ra_in1k,63.380,36.620,84.080,15.920,5.48,224,0.875,bicubic,-12.386,-8.458,-2 +vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k,63.330,36.670,85.270,14.730,6.36,384,1.000,bicubic,-12.632,-7.994,-7 +resnet50.tv_in1k,63.330,36.670,84.670,15.330,25.56,224,0.875,bilinear,-12.800,-8.188,-10 +efficientnet_es_pruned.in1k,63.310,36.690,84.950,15.050,5.44,224,0.875,bicubic,-11.704,-7.496,+13 +mixer_b16_224.goog_in21k_ft_in1k,63.290,36.710,83.340,16.660,59.88,224,0.875,bicubic,-13.312,-8.884,-27 +mobilenetv3_rw.rmsp_in1k,63.240,36.760,84.520,15.480,5.48,224,0.875,bicubic,-12.380,-8.184,-4 +efficientnet_lite0.ra_in1k,63.230,36.770,84.410,15.590,4.65,224,0.875,bicubic,-12.250,-8.112,0 +semnasnet_100.rmsp_in1k,63.170,36.830,84.540,15.460,3.89,224,0.875,bicubic,-12.280,-8.054,+2 +vit_tiny_patch16_224.augreg_in21k_ft_in1k,63.120,36.880,84.900,15.100,5.72,224,0.900,bicubic,-12.334,-7.944,0 +regnety_006.pycls_in1k,63.090,36.910,84.240,15.760,6.06,224,0.875,bicubic,-12.180,-8.286,+1 +pit_ti_distilled_224.in1k,63.020,36.980,83.810,16.190,5.10,224,0.900,bicubic,-11.234,-8.144,+18 +mobilevit_xs.cvnets_in1k,62.940,37.060,84.810,15.190,2.32,256,0.900,bicubic,-11.696,-7.536,+12 +densenet121.tv_in1k,62.940,37.060,84.250,15.750,7.98,224,0.875,bicubic,-11.824,-7.904,+10 +legacy_seresnet34.in1k,62.880,37.120,84.230,15.770,21.96,224,0.875,bilinear,-11.928,-7.896,+7 +hrnet_w18_small_v2.ms_in1k,62.830,37.170,83.970,16.030,15.60,224,0.875,bilinear,-12.284,-8.444,-1 +edgenext_x_small.in1k,62.810,37.190,84.670,15.330,2.34,288,1.000,bicubic,-12.878,-8.096,-16 +mobilenetv2_110d.ra_in1k,62.810,37.190,84.500,15.500,4.52,224,0.875,bicubic,-12.246,-7.686,-2 +deit_tiny_distilled_patch16_224.fb_in1k,62.780,37.220,83.920,16.080,5.91,224,0.900,bicubic,-11.720,-7.972,+10 +resnet18.fb_swsl_ig1b_ft_in1k,62.750,37.250,84.300,15.700,11.69,224,0.875,bilinear,-10.532,-7.432,+23 +repvgg_b0.rvgg_in1k,62.720,37.280,83.870,16.130,15.82,224,0.875,bilinear,-12.422,-8.546,-8 +tinynet_b.in1k,62.710,37.290,84.220,15.780,3.73,188,0.875,bicubic,-12.268,-7.966,-3 +tf_efficientnet_lite0.in1k,62.570,37.430,84.230,15.770,4.65,224,0.875,bicubic,-12.260,-7.942,-2 +xcit_nano_12_p8_224.fb_in1k,62.560,37.440,84.200,15.800,3.05,224,1.000,bicubic,-11.356,-7.970,+12 +resnet34.gluon_in1k,62.550,37.450,84.000,16.000,21.80,224,0.875,bicubic,-12.028,-7.984,+3 +dla34.in1k,62.490,37.510,83.920,16.080,15.74,224,0.875,bilinear,-12.148,-8.144,-1 +regnetx_008.pycls_in1k,62.480,37.520,84.020,15.980,7.26,224,0.875,bicubic,-12.550,-8.318,-10 +fbnetc_100.rmsp_in1k,62.450,37.550,83.370,16.630,5.57,224,0.875,bilinear,-12.680,-9.018,-14 +tf_mobilenetv3_large_100.in1k,62.440,37.560,83.950,16.050,5.48,224,0.875,bilinear,-13.076,-8.644,-23 +crossvit_9_240.in1k,62.260,37.740,84.250,15.750,8.55,240,0.875,bicubic,-11.698,-7.718,+5 +crossvit_tiny_240.in1k,62.080,37.920,83.610,16.390,7.01,240,0.875,bicubic,-11.256,-8.298,+11 +regnetx_004_tv.tv2_in1k,62.060,37.940,83.770,16.230,5.50,224,0.965,bicubic,-12.536,-8.408,-5 +resnet18d.ra2_in1k,62.000,38.000,83.790,16.210,11.71,288,0.950,bicubic,-11.794,-8.048,+5 +mnasnet_100.rmsp_in1k,61.920,38.080,83.720,16.280,4.38,224,0.875,bicubic,-12.730,-8.404,-10 +vgg19_bn.tv_in1k,61.870,38.130,83.450,16.550,143.68,224,0.875,bilinear,-12.346,-8.394,-4 +regnety_004.pycls_in1k,61.840,38.160,83.410,16.590,4.34,224,0.875,bicubic,-12.188,-8.340,-3 +convit_tiny.fb_in1k,61.590,38.410,84.090,15.910,5.71,224,0.875,bicubic,-11.522,-7.622,+8 +resnet18.a1_in1k,61.580,38.420,82.470,17.530,11.69,288,1.000,bicubic,-11.578,-8.556,+6 +resnet34.a3_in1k,61.490,38.510,82.600,17.400,21.80,224,0.950,bicubic,-11.480,-8.508,+10 +resnet18.fb_ssl_yfcc100m_ft_in1k,61.470,38.530,83.330,16.670,11.69,224,0.875,bilinear,-11.124,-8.088,+11 +regnetx_006.pycls_in1k,61.360,38.640,83.450,16.550,6.20,224,0.875,bicubic,-12.508,-8.228,-4 +spnasnet_100.rmsp_in1k,61.230,38.770,82.760,17.240,4.42,224,0.875,bilinear,-12.856,-9.060,-10 +resnet34.tv_in1k,61.220,38.780,82.720,17.280,21.80,224,0.875,bilinear,,, +vit_base_patch32_224.augreg_in1k,61.040,38.960,82.730,17.270,88.22,224,0.900,bicubic,-13.854,-9.048,-24 +pit_ti_224.in1k,60.970,39.030,83.860,16.140,4.85,224,0.900,bicubic,-11.940,-7.540,+5 +skresnet18.ra_in1k,60.850,39.150,82.850,17.150,11.96,224,0.875,bicubic,-12.188,-8.322,0 +ghostnet_100.in1k,60.810,39.190,82.380,17.620,5.18,224,0.875,bilinear,-13.172,-9.086,-13 +vgg16_bn.tv_in1k,60.770,39.230,82.960,17.040,138.37,224,0.875,bilinear,-12.600,-8.554,-7 +semnasnet_075.rmsp_in1k,60.710,39.290,82.540,17.460,2.91,224,0.875,bicubic,-12.282,-8.598,-2 +tf_mobilenetv3_large_075.in1k,60.390,39.610,81.950,18.050,3.99,224,0.875,bilinear,-13.042,-9.402,-10 +xcit_nano_12_p16_224.fb_dist_in1k,60.240,39.760,82.490,17.510,3.05,224,1.000,bicubic,-12.070,-8.370,+5 +resnet18.a2_in1k,60.210,39.790,81.840,18.160,11.69,288,1.000,bicubic,-12.162,-8.756,+2 +mobilenetv2_100.ra_in1k,60.170,39.830,82.210,17.790,3.50,224,0.875,bicubic,-12.806,-8.800,-5 +vit_base_patch32_224.sam_in1k,59.990,40.010,81.220,18.780,88.22,224,0.900,bicubic,-13.704,-9.794,-15 +deit_tiny_patch16_224.fb_in1k,59.800,40.200,82.670,17.330,5.72,224,0.900,bicubic,-12.372,-8.442,+4 +legacy_seresnet18.in1k,59.790,40.210,81.680,18.320,11.78,224,0.875,bicubic,-11.976,-8.652,+8 +vgg19.tv_in1k,59.710,40.290,81.460,18.540,143.67,224,0.875,bilinear,-12.668,-9.414,-4 +edgenext_xx_small.in1k,59.410,40.590,81.840,18.160,1.33,288,1.000,bicubic,-12.468,-8.712,+4 +regnetx_004.pycls_in1k,59.410,40.590,81.740,18.260,5.16,224,0.875,bicubic,-12.988,-9.088,-7 +tf_mobilenetv3_large_minimal_100.in1k,59.090,40.910,81.130,18.870,3.92,224,0.875,bilinear,-13.168,-9.508,-3 +vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k,59.080,40.920,81.760,18.240,6.34,224,0.900,bicubic,-12.718,-9.064,+2 +hrnet_w18_small.ms_in1k,58.960,41.040,81.340,18.660,13.19,224,0.875,bilinear,-13.378,-9.338,-7 +vgg13_bn.tv_in1k,58.960,41.040,81.090,18.910,133.05,224,0.875,bilinear,-12.628,-9.288,+3 +lcnet_100.ra2_in1k,58.930,41.070,81.200,18.800,2.95,224,0.875,bicubic,-13.166,-9.162,-4 +vgg16.tv_in1k,58.830,41.170,81.660,18.340,138.36,224,0.875,bilinear,-12.762,-8.724,0 +pvt_v2_b0.in1k,58.770,41.230,82.120,17.880,3.67,224,0.900,bicubic,-11.890,-8.076,+3 +resnet18.gluon_in1k,58.340,41.660,80.970,19.030,11.69,224,0.875,bicubic,-12.498,-8.784,+1 +xcit_nano_12_p16_224.fb_in1k,58.330,41.670,80.920,19.080,3.05,224,1.000,bicubic,-11.632,-8.842,+5 +tinynet_c.in1k,58.200,41.800,80.280,19.720,2.46,184,0.875,bicubic,-13.040,-9.454,-2 +resnet14t.c3_in1k,58.180,41.820,80.300,19.700,10.08,224,0.950,bicubic,-14.074,-10.002,-12 +mobilevitv2_050.cvnets_in1k,57.710,42.290,80.880,19.120,1.37,256,0.888,bicubic,-12.428,-9.040,+1 +vgg11_bn.tv_in1k,57.410,42.590,80.010,19.990,132.87,224,0.875,bilinear,-12.972,-9.798,-2 +resnet18.tv_in1k,57.170,42.830,80.190,19.810,11.69,224,0.875,bilinear,-12.590,-8.880,+2 +mobilevit_xxs.cvnets_in1k,57.160,42.840,79.750,20.250,1.27,256,0.900,bicubic,-11.772,-9.192,+3 +vgg13.tv_in1k,57.140,42.860,79.550,20.450,133.05,224,0.875,bilinear,-12.792,-9.700,-1 +regnety_002.pycls_in1k,57.040,42.960,79.880,20.120,3.16,224,0.875,bicubic,-13.238,-9.648,-5 +mixer_l16_224.goog_in21k_ft_in1k,56.660,43.340,76.010,23.990,208.20,224,0.875,bicubic,-15.394,-11.664,-16 +regnetx_002.pycls_in1k,56.080,43.920,79.190,20.810,2.68,224,0.875,bicubic,-12.666,-9.346,+1 +dla60x_c.in1k,56.010,43.990,78.980,21.020,1.32,224,0.875,bilinear,-11.888,-9.442,+4 +resnet18.a3_in1k,56.000,44.000,78.980,21.020,11.69,224,0.950,bicubic,-12.254,-9.196,+1 +vgg11.tv_in1k,55.820,44.180,78.830,21.170,132.86,224,0.875,bilinear,-13.202,-9.794,-5 +resnet10t.c3_in1k,55.560,44.440,78.440,21.560,5.44,224,0.950,bicubic,-12.798,-9.600,-2 +lcnet_075.ra2_in1k,55.440,44.560,78.350,21.650,2.36,224,0.875,bicubic,-13.342,-10.010,-5 +mobilenetv3_small_100.lamb_in1k,54.690,45.310,77.760,22.240,2.54,224,0.875,bicubic,-12.966,-9.876,0 +tf_mobilenetv3_small_100.in1k,54.470,45.530,77.080,22.920,2.54,224,0.875,bilinear,-13.448,-10.594,-3 +tinynet_d.in1k,53.420,46.580,76.320,23.680,2.34,152,0.875,bicubic,-13.554,-10.742,-1 +mnasnet_small.lamb_in1k,53.270,46.730,75.910,24.090,2.03,224,0.875,bicubic,-12.926,-10.594,-1 +dla46x_c.in1k,53.040,46.960,76.820,23.180,1.07,224,0.875,bilinear,-12.948,-10.160,-1 +mobilenetv2_050.lamb_in1k,52.860,47.140,75.460,24.540,1.97,224,0.875,bicubic,-13.090,-10.628,-1 +dla46_c.in1k,52.190,47.810,75.680,24.320,1.30,224,0.875,bilinear,-12.682,-10.618,+1 +tf_mobilenetv3_small_075.in1k,52.180,47.820,75.450,24.550,2.04,224,0.875,bilinear,-13.548,-10.676,-2 +mobilenetv3_small_075.lamb_in1k,51.920,48.080,74.740,25.260,2.04,224,0.875,bicubic,-13.314,-10.706,-2 +lcnet_050.ra2_in1k,49.980,50.020,73.450,26.550,1.88,224,0.875,bicubic,-13.140,-10.936,-1 +tf_mobilenetv3_small_minimal_100.in1k,49.530,50.470,73.030,26.970,2.04,224,0.875,bilinear,-13.360,-11.210,-1 +tinynet_e.in1k,46.720,53.280,70.350,29.650,2.04,106,0.875,bicubic,-13.146,-11.414,-1 +mobilenetv3_small_050.lamb_in1k,44.850,55.150,67.680,32.320,1.59,224,0.875,bicubic,-13.060,-12.500,-1 diff --git a/results/results-sketch.csv b/results/results-sketch.csv index cbcf4f8d87..3709be3bc6 100644 --- a/results/results-sketch.csv +++ b/results/results-sketch.csv @@ -1,791 +1,1004 @@ model,top1,top1_err,top5,top5_err,param_count,img_size,crop_pct,interpolation,top1_diff,top5_diff,rank_diff -eva_giant_patch14_336.clip_ft_in1k,71.180,28.820,90.291,9.709,"1,013.01",336,1.000,bicubic,-18.296,-8.533,+2 -eva_giant_patch14_224.clip_ft_in1k,70.559,29.441,90.004,9.996,"1,012.56",224,1.000,bicubic,-18.540,-8.712,+3 -eva_giant_patch14_336.m30m_ft_in22k_in1k,68.056,31.944,87.821,12.179,"1,013.01",336,1.000,bicubic,-21.512,-11.131,-1 -eva_giant_patch14_560.m30m_ft_in22k_in1k,67.486,32.514,87.461,12.539,"1,014.45",560,1.000,bicubic,-22.310,-11.531,-3 -vit_huge_patch14_clip_224.laion2b_ft_in1k,67.409,32.590,87.895,12.105,632.05,224,1.000,bicubic,-20.184,-10.325,+25 -vit_large_patch14_clip_336.laion2b_ft_in1k,65.733,34.267,86.913,13.087,304.53,336,1.000,bicubic,-22.115,-11.457,+21 -vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k,65.321,34.679,86.836,13.164,632.05,224,1.000,bicubic,-22.925,-11.714,+9 -vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,65.264,34.736,86.763,13.237,632.46,336,1.000,bicubic,-23.310,-11.897,+1 -vit_large_patch14_clip_224.laion2b_ft_in1k,64.808,35.192,86.573,13.427,304.20,224,1.000,bicubic,-22.484,-11.673,+26 -vit_large_patch14_clip_336.openai_ft_in12k_in1k,64.065,35.935,85.903,14.097,304.53,336,1.000,bicubic,-24.201,-12.629,+5 -eva_large_patch14_336.in22k_ft_in1k,63.108,36.892,84.386,15.614,304.53,336,1.000,bicubic,-25.556,-14.334,-5 -vit_large_patch14_clip_224.openai_ft_in1k,62.630,37.370,85.117,14.883,304.20,224,1.000,bicubic,-25.222,-13.311,+14 -vit_large_patch14_clip_224.laion2b_ft_in12k_in1k,62.053,37.947,84.317,15.683,304.20,224,1.000,bicubic,-25.837,-14.093,+12 -vit_large_patch14_clip_336.laion2b_ft_in12k_in1k,61.628,38.372,83.659,16.341,304.53,336,1.000,bicubic,-26.554,-14.913,+6 -vit_large_patch14_clip_224.openai_ft_in12k_in1k,61.402,38.598,83.374,16.626,304.20,224,1.000,bicubic,-26.766,-15.170,+6 -eva_large_patch14_196.in22k_ft_in1k,61.111,38.889,82.774,17.226,304.14,196,1.000,bicubic,-26.827,-15.718,+7 -eva_large_patch14_336.in22k_ft_in22k_in1k,60.938,39.062,82.155,17.845,304.53,336,1.000,bicubic,-28.265,-16.695,-13 -eva_large_patch14_196.in22k_ft_in22k_in1k,59.852,40.148,81.124,18.876,304.14,196,1.000,bicubic,-28.734,-17.532,-10 -ig_resnext101_32x48d,58.810,41.190,81.076,18.924,828.41,224,0.875,bilinear,-26.618,-16.496,+84 -ig_resnext101_32x32d,58.386,41.614,80.381,19.619,468.53,224,0.875,bilinear,-26.708,-17.057,+107 -beitv2_large_patch16_224.in1k_ft_in22k_in1k,58.358,41.642,80.226,19.774,304.43,224,0.950,bicubic,-30.028,-18.372,-9 -ig_resnext101_32x16d,57.690,42.310,79.905,20.095,194.03,224,0.875,bilinear,-26.480,-17.291,+169 -swsl_resnext101_32x16d,57.458,42.542,80.385,19.615,194.03,224,0.875,bilinear,-25.888,-16.461,+230 -beit_large_patch16_384.in22k_ft_in22k_in1k,56.894,43.106,79.229,20.771,305.00,384,1.000,bicubic,-31.510,-19.379,-13 -vit_base_patch16_clip_384.laion2b_ft_in1k,56.875,43.125,79.994,20.006,86.86,384,1.000,bicubic,-29.745,-18.016,+29 -beit_large_patch16_512.in22k_ft_in22k_in1k,56.755,43.245,78.899,21.101,305.67,512,1.000,bicubic,-31.843,-19.757,-19 -swsl_resnext101_32x8d,56.438,43.562,78.944,21.056,88.79,224,0.875,bilinear,-27.846,-18.232,+152 -maxvit_xlarge_tf_384.in21k_ft_in1k,56.207,43.793,78.750,21.250,475.32,384,1.000,bicubic,-32.099,-19.794,-14 -maxvit_xlarge_tf_512.in21k_ft_in1k,56.150,43.850,78.630,21.370,475.77,512,1.000,bicubic,-32.388,-20.014,-19 -maxvit_base_tf_512.in21k_ft_in1k,56.089,43.911,78.599,21.401,119.88,512,1.000,bicubic,-32.123,-19.933,-11 -deit3_huge_patch14_224_in21ft1k,55.764,44.236,77.624,22.376,632.13,224,1.000,bicubic,-31.419,-20.636,+6 -maxvit_base_tf_384.in21k_ft_in1k,55.633,44.367,78.064,21.936,119.65,384,1.000,bicubic,-32.289,-20.478,-8 -vit_base_patch16_clip_224.laion2b_ft_in1k,55.413,44.587,79.049,20.951,86.57,224,1.000,bicubic,-30.055,-18.527,+68 -maxvit_large_tf_512.in21k_ft_in1k,55.171,44.829,77.276,22.724,212.33,512,1.000,bicubic,-33.047,-21.322,-16 -maxvit_large_tf_384.in21k_ft_in1k,55.075,44.925,77.142,22.858,212.03,384,1.000,bicubic,-32.917,-21.424,-13 -convnext_xlarge.fb_in22k_ft_in1k_384,54.965,45.035,76.828,23.172,350.20,384,1.000,bicubic,-32.783,-21.726,-8 -beit_large_patch16_224.in22k_ft_in22k_in1k,54.959,45.041,77.610,22.390,304.43,224,0.900,bicubic,-32.517,-20.694,-6 -ig_resnext101_32x8d,54.918,45.082,77.534,22.466,88.79,224,0.875,bilinear,-27.770,-19.102,+257 -deit3_large_patch16_384_in21ft1k,54.878,45.122,77.372,22.628,304.76,384,1.000,bicubic,-32.838,-21.140,-10 -deit3_large_patch16_224_in21ft1k,54.361,45.639,76.561,23.439,304.37,224,1.000,bicubic,-32.616,-21.677,+4 -swsl_resnext101_32x4d,53.603,46.397,76.347,23.653,44.18,224,0.875,bilinear,-29.627,-20.413,+216 -vit_base_patch16_clip_384.laion2b_ft_in12k_in1k,53.493,46.507,75.667,24.333,86.86,384,1.000,bicubic,-33.725,-22.367,-6 -vit_base_patch16_clip_384.openai_ft_in1k,53.080,46.920,76.653,23.347,86.86,384,1.000,bicubic,-33.126,-21.221,+25 -convnext_large.fb_in22k_ft_in1k_384,52.758,47.242,74.704,25.296,197.77,384,1.000,bicubic,-34.714,-23.682,-12 -vit_large_patch16_384.augreg_in21k_ft_in1k,52.754,47.246,74.696,25.304,304.72,384,1.000,bicubic,-34.326,-23.604,-5 -swinv2_large_window12to24_192to384_22kft1k,52.300,47.700,74.423,25.577,196.74,384,1.000,bicubic,-35.158,-23.829,-13 -convnext_xlarge.fb_in22k_ft_in1k,52.229,47.771,73.953,26.047,350.20,288,1.000,bicubic,-35.109,-24.375,-13 -vit_large_r50_s32_384.augreg_in21k_ft_in1k,52.039,47.961,73.558,26.442,329.09,384,1.000,bicubic,-34.145,-24.360,+21 -vit_large_patch16_224.augreg_in21k_ft_in1k,51.832,48.168,73.694,26.306,304.33,224,0.900,bicubic,-34.010,-24.130,+34 -vit_base_patch16_clip_224.laion2b_ft_in12k_in1k,51.760,48.240,74.635,25.365,86.57,224,0.950,bicubic,-34.410,-23.119,+20 -convnext_base.fb_in22k_ft_in1k_384,51.561,48.439,74.535,25.465,88.59,384,1.000,bicubic,-35.233,-23.729,-1 -tf_efficientnet_l2.ns_jft_in1k_475,51.494,48.506,73.928,26.072,480.31,475,0.936,bicubic,-36.740,-24.618,-35 -vit_base_patch16_clip_384.openai_ft_in12k_in1k,51.153,48.847,74.328,25.672,86.86,384,0.950,bicubic,-35.882,-23.852,-11 -swinv2_base_window12to24_192to384_22kft1k,50.974,49.026,73.318,26.682,87.92,384,1.000,bicubic,-36.134,-24.918,-15 -vit_base_patch16_clip_224.openai_ft_in1k,50.936,49.064,74.855,25.145,86.57,224,0.900,bicubic,-34.344,-22.551,+56 -swinv2_large_window12to16_192to256_22kft1k,50.441,49.559,72.752,27.247,196.74,256,0.900,bicubic,-36.495,-25.356,-10 -swsl_resnext50_32x4d,50.437,49.563,73.368,26.633,25.03,224,0.875,bilinear,-31.745,-22.862,+290 -swin_large_patch4_window12_384,50.404,49.596,72.564,27.436,196.74,384,1.000,bicubic,-36.744,-25.670,-20 -convnext_large.fb_in22k_ft_in1k,49.993,50.007,72.251,27.749,197.77,288,1.000,bicubic,-37.023,-25.955,-16 -tf_efficientnetv2_xl.in21k_ft_in1k,49.734,50.266,72.120,27.880,208.12,512,1.000,bicubic,-37.014,-25.898,-8 -vit_base_patch16_clip_224.openai_ft_in12k_in1k,49.691,50.309,72.878,27.122,86.57,224,0.950,bicubic,-36.240,-24.846,+19 -swsl_resnet50,49.541,50.459,72.334,27.666,25.56,224,0.875,bilinear,-31.625,-22.762,+354 -beitv2_base_patch16_224.in1k_ft_in22k_in1k,49.512,50.488,72.383,27.617,86.53,224,0.900,bicubic,-36.968,-25.665,-4 -vit_base_patch32_clip_224.laion2b_ft_in1k,49.066,50.934,72.578,27.422,88.22,224,0.900,bicubic,-33.516,-23.624,+240 -swin_large_patch4_window7_224,48.991,51.009,71.391,28.609,196.53,224,0.900,bicubic,-37.329,-26.505,-3 -convnext_base.fb_in22k_ft_in1k,48.934,51.066,71.733,28.267,88.59,288,1.000,bicubic,-37.346,-26.357,-2 -swinv2_base_window12to16_192to256_22kft1k,48.796,51.204,71.387,28.613,87.92,256,0.900,bicubic,-37.478,-26.509,-2 -tf_efficientnetv2_l.in21k_ft_in1k,48.745,51.255,71.990,28.010,118.52,480,1.000,bicubic,-38.061,-26.144,-20 -beit_base_patch16_384.in22k_ft_in22k_in1k,48.669,51.331,72.088,27.912,86.74,384,1.000,bicubic,-38.131,-26.050,-20 -swin_base_patch4_window12_384,48.553,51.447,71.813,28.187,87.90,384,1.000,bicubic,-37.879,-26.245,-9 -maxvit_base_tf_512.in1k,48.240,51.760,70.799,29.201,119.88,512,1.000,bicubic,-38.358,-27.121,-16 -vit_large_r50_s32_224.augreg_in21k_ft_in1k,48.203,51.797,70.868,29.132,328.99,224,0.900,bicubic,-36.231,-26.104,+95 -vit_base_patch32_clip_384.laion2b_ft_in12k_in1k,47.944,52.056,70.923,29.077,88.30,384,1.000,bicubic,-37.428,-26.741,+35 -tf_efficientnet_b7.ns_jft_in1k,47.800,52.200,69.640,30.360,66.35,600,0.949,bicubic,-39.040,-28.454,-27 -tf_efficientnet_b6.ns_jft_in1k,47.761,52.239,69.968,30.032,43.04,528,0.942,bicubic,-38.691,-27.914,-15 -vit_base_patch8_224.augreg_in21k_ft_in1k,47.731,52.269,70.921,29.079,86.58,224,0.900,bicubic,-38.065,-26.869,+11 -deit3_base_patch16_384_in21ft1k,47.664,52.336,69.748,30.252,86.88,384,1.000,bicubic,-39.080,-28.364,-24 -vit_base_patch32_clip_448.laion2b_ft_in12k_in1k,47.572,52.428,70.060,29.940,88.34,448,1.000,bicubic,-38.212,-27.574,+10 -tf_efficientnet_l2.ns_jft_in1k,47.570,52.430,70.019,29.981,480.31,800,0.960,bicubic,-40.782,-28.631,-66 -vit_base_patch8_224.augreg2_in21k_ft_in1k,47.501,52.499,70.322,29.678,86.58,224,0.900,bicubic,-38.711,-27.510,-13 -tf_efficientnetv2_m.in21k_ft_in1k,47.466,52.534,70.939,29.061,54.14,480,1.000,bicubic,-38.538,-27.003,-3 -deit3_base_patch16_224_in21ft1k,47.372,52.628,69.773,30.227,86.59,224,1.000,bicubic,-38.342,-27.971,+9 -maxvit_large_tf_512.in1k,47.016,52.984,69.498,30.502,212.33,512,1.000,bicubic,-39.502,-28.386,-27 -convnext_small.fb_in22k_ft_in1k_384,46.861,53.139,69.530,30.470,50.22,384,1.000,bicubic,-38.917,-28.362,+5 -beit_base_patch16_224.in22k_ft_in22k_in1k,46.242,53.758,69.895,30.105,86.53,224,0.900,bicubic,-38.994,-27.761,+32 -vit_base_patch32_clip_384.openai_ft_in12k_in1k,46.236,53.764,69.312,30.688,88.30,384,0.950,bicubic,-38.976,-28.090,+32 -maxvit_base_tf_384.in1k,46.220,53.780,68.528,31.472,119.65,384,1.000,bicubic,-40.074,-29.276,-24 -vit_base_patch16_384.augreg_in21k_ft_in1k,45.894,54.106,68.557,31.443,86.86,384,1.000,bicubic,-40.112,-29.443,-11 -tf_efficientnet_b8.ap_in1k,45.774,54.226,67.911,32.089,87.41,672,0.954,bicubic,-39.596,-29.479,+21 -maxvit_large_tf_384.in1k,45.751,54.249,68.146,31.854,212.03,384,1.000,bicubic,-40.485,-29.544,-24 -vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,45.747,54.253,68.875,31.125,88.22,224,0.900,bicubic,-37.559,-27.655,+164 -tf_efficientnet_b5.ns_jft_in1k,45.615,54.385,67.842,32.158,30.39,456,0.934,bicubic,-40.473,-29.910,-19 -swin_base_patch4_window7_224,45.560,54.440,68.512,31.488,87.77,224,0.900,bicubic,-39.692,-29.050,+21 -mvitv2_large,45.285,54.715,65.195,34.805,217.99,224,0.900,bicubic,-39.965,-32.019,+22 -vit_base_patch16_224.augreg2_in21k_ft_in1k,45.110,54.890,67.425,32.575,86.57,224,0.900,bicubic,-39.996,-29.955,+29 -vit_base_patch32_clip_224.openai_ft_in1k,45.037,54.963,68.459,31.541,88.22,224,0.900,bicubic,-36.893,-27.509,+273 -volo_d5_512,44.572,55.428,65.755,34.245,296.09,512,1.150,bicubic,-42.472,-32.213,-56 -cait_m48_448,44.245,55.755,64.653,35.347,356.46,448,1.000,bicubic,-42.239,-33.102,-40 -deit3_large_patch16_384,44.175,55.825,64.843,35.157,304.76,384,1.000,bicubic,-41.635,-32.753,-13 -volo_d5_448,44.096,55.904,65.065,34.935,295.91,448,1.150,bicubic,-42.858,-32.873,-55 -deit3_huge_patch14_224,43.801,56.199,64.350,35.650,632.13,224,0.900,bicubic,-41.403,-33.008,+19 -convnext_small.fb_in22k_ft_in1k,43.603,56.397,66.448,33.551,50.22,288,1.000,bicubic,-41.659,-31.236,+11 -deit3_large_patch16_224,43.520,56.480,63.574,36.426,304.37,224,0.900,bicubic,-41.244,-33.464,+44 -vit_base_r50_s16_384.orig_in21k_ft_in1k,43.512,56.488,66.785,33.215,98.95,384,1.000,bicubic,-41.460,-30.503,+32 -tf_efficientnet_b4.ns_jft_in1k,43.450,56.550,65.519,34.481,19.34,380,0.922,bicubic,-41.713,-31.951,+17 -deit3_medium_patch16_224_in21ft1k,43.271,56.729,64.892,35.108,38.85,224,1.000,bicubic,-41.289,-32.296,+51 -volo_d5_224,43.261,56.739,64.077,35.923,295.46,224,0.960,bicubic,-42.807,-33.501,-33 -vit_base_patch16_224.augreg_in21k_ft_in1k,43.220,56.780,65.708,34.292,86.57,224,0.900,bicubic,-41.312,-31.586,+50 -volo_d4_448,43.135,56.865,64.114,35.886,193.41,448,1.150,bicubic,-43.655,-33.768,-58 -efficientnet_b5.in12k_ft_in1k,42.858,57.142,65.419,34.581,30.39,448,1.000,bicubic,-43.030,-32.313,-29 -xcit_large_24_p8_384_dist,42.831,57.169,63.403,36.597,188.93,384,1.000,bicubic,-43.169,-34.283,-32 -maxvit_small_tf_512.in1k,42.689,57.311,64.546,35.454,69.13,512,1.000,bicubic,-43.399,-33.212,-40 -xcit_large_24_p8_224_dist,42.567,57.433,63.100,36.900,188.93,224,1.000,bicubic,-42.829,-34.310,-6 -tf_efficientnet_b8.ra_in1k,42.508,57.492,64.857,35.143,87.41,672,0.954,bicubic,-42.862,-32.437,-5 -maxvit_large_tf_224.in1k,42.410,57.590,63.401,36.599,211.79,224,0.950,bicubic,-42.516,-33.571,+23 -cait_m36_384,42.398,57.602,63.324,36.676,271.22,384,1.000,bicubic,-43.656,-34.406,-41 -volo_d4_224,42.284,57.716,63.000,37.000,192.96,224,0.960,bicubic,-43.588,-34.468,-35 -deit3_small_patch16_384_in21ft1k,41.946,58.054,64.548,35.452,22.21,384,1.000,bicubic,-42.878,-32.938,+26 -vit_medium_patch16_gap_384.in12k_ft_in1k,41.895,58.105,63.692,36.308,39.03,384,0.950,bicubic,-43.641,-33.942,-21 -maxvit_tiny_tf_512.in1k,41.852,58.148,63.586,36.414,31.05,512,1.000,bicubic,-43.810,-33.994,-26 -tf_efficientnet_b7.ra_in1k,41.431,58.569,63.017,36.983,66.35,600,0.949,bicubic,-43.505,-34.186,+16 -tf_efficientnet_b7.ap_in1k,41.429,58.571,62.874,37.126,66.35,600,0.949,bicubic,-43.691,-34.378,+1 -tf_efficientnet_b5.ap_in1k,41.418,58.582,62.084,37.916,30.39,456,0.934,bicubic,-42.834,-34.890,+60 -resnetv2_152x4_bitm,41.302,58.698,64.307,35.693,936.53,480,1.000,bilinear,-43.614,-33.133,+16 -tf_efficientnet_b6.ap_in1k,41.099,58.901,62.355,37.645,43.04,528,0.942,bicubic,-43.689,-34.783,+21 -xcit_large_24_p16_384_dist,41.025,58.975,61.239,38.761,189.10,384,1.000,bicubic,-44.729,-36.299,-36 -xcit_large_24_p16_224_dist,40.958,59.042,61.322,38.678,189.10,224,1.000,bicubic,-43.960,-35.810,+12 -tf_efficientnetv2_s.in21k_ft_in1k,40.950,59.050,63.849,36.151,21.46,384,1.000,bicubic,-43.352,-33.403,+50 -tf_efficientnetv2_l.in1k,40.940,59.060,62.000,38.000,118.52,480,1.000,bicubic,-44.730,-35.474,-36 -maxvit_small_tf_384.in1k,40.848,59.152,61.962,38.038,69.02,384,1.000,bicubic,-44.686,-35.502,-31 -maxvit_base_tf_224.in1k,40.781,59.219,61.202,38.798,119.47,224,0.950,bicubic,-44.079,-35.788,+11 -xcit_medium_24_p8_224_dist,40.488,59.512,60.502,39.498,84.32,224,1.000,bicubic,-44.584,-36.752,-3 -tf_efficientnet_b4.ap_in1k,40.484,59.516,61.723,38.277,19.34,380,0.922,bicubic,-42.764,-34.669,+123 -vit_small_r26_s32_384.augreg_in21k_ft_in1k,40.476,59.524,62.736,37.264,36.47,384,1.000,bicubic,-43.570,-34.592,+66 -deit3_base_patch16_224,40.376,59.624,60.186,39.814,86.59,224,0.900,bicubic,-43.416,-36.398,+85 -vit_medium_patch16_gap_256.in12k_ft_in1k,40.274,59.726,61.668,38.332,38.86,256,0.950,bicubic,-44.156,-35.544,+35 -flexivit_large.600ep_in1k,40.260,59.740,60.365,39.635,304.36,240,0.950,bicubic,-45.278,-37.127,-40 -vit_base_patch16_224_miil.in21k_ft_in1k,40.168,59.832,60.887,39.113,86.54,224,0.875,bilinear,-44.100,-35.915,+43 -deit3_small_patch16_224_in21ft1k,40.166,59.834,61.864,38.136,22.06,224,1.000,bicubic,-42.904,-34.916,+132 -regnetz_e8,40.142,59.858,61.330,38.670,57.70,320,1.000,bicubic,-44.888,-35.934,-7 -maxvit_rmlp_small_rw_224,40.115,59.885,59.504,40.496,64.90,224,0.900,bicubic,-44.369,-37.258,+22 -flexivit_large.1200ep_in1k,40.093,59.907,60.638,39.362,304.36,240,0.950,bicubic,-45.551,-36.904,-47 -xcit_medium_24_p8_384_dist,40.040,59.960,60.457,39.543,84.32,384,1.000,bicubic,-45.776,-37.135,-59 -flexivit_large.300ep_in1k,40.009,59.991,59.991,40.009,304.36,240,0.950,bicubic,-45.271,-37.449,-32 -maxvit_tiny_tf_384.in1k,39.977,60.023,60.897,39.103,30.98,384,1.000,bicubic,-45.129,-36.637,-20 -xcit_medium_24_p16_384_dist,39.901,60.099,60.107,39.893,84.40,384,1.000,bicubic,-45.511,-37.299,-41 -dm_nfnet_f3,39.818,60.182,60.610,39.390,254.92,416,0.940,bicubic,-45.704,-36.852,-47 -convnext_tiny.fb_in22k_ft_in1k_384,39.798,60.202,61.534,38.466,28.59,384,1.000,bicubic,-44.282,-35.608,+47 -cait_s36_384,39.765,60.235,60.475,39.525,68.37,384,1.000,bicubic,-45.695,-37.005,-47 -volo_d3_448,39.702,60.298,59.758,40.242,86.63,448,1.000,bicubic,-46.792,-37.952,-93 -efficientnetv2_rw_m.agc_in1k,39.667,60.333,59.687,40.313,53.24,416,1.000,bicubic,-45.141,-37.461,-6 -xception65,39.635,60.365,60.911,39.089,39.92,299,0.940,bicubic,-43.545,-35.681,+108 -ecaresnet269d,39.594,60.406,60.343,39.657,102.09,352,1.000,bicubic,-45.382,-36.883,-18 -tf_efficientnet_b3.ns_jft_in1k,39.584,60.416,61.453,38.547,12.23,300,0.904,bicubic,-44.464,-35.457,+45 -dm_nfnet_f6,39.578,60.422,60.911,39.089,438.36,576,0.956,bicubic,-46.566,-36.819,-84 -dm_nfnet_f5,39.508,60.492,60.227,39.773,377.21,544,0.954,bicubic,-46.306,-37.261,-71 -volo_d3_224,39.488,60.512,59.873,40.127,86.33,224,0.960,bicubic,-45.920,-37.407,-51 -convnext_large.fb_in1k,39.460,60.540,59.192,40.808,197.77,288,1.000,bicubic,-45.386,-38.020,-15 -deit3_base_patch16_384,39.407,60.593,58.940,41.060,86.88,384,1.000,bicubic,-45.665,-38.338,-29 -xcit_small_24_p8_224_dist,39.305,60.695,59.404,40.596,47.63,224,1.000,bicubic,-45.571,-37.784,-19 -xcit_medium_24_p16_224_dist,39.272,60.728,59.457,40.543,84.40,224,1.000,bicubic,-45.002,-37.483,+19 -efficientnet_b4.ra2_in1k,39.079,60.921,59.608,40.392,19.34,384,1.000,bicubic,-44.349,-36.988,+79 -xcit_small_24_p8_384_dist,39.001,60.999,59.172,40.828,47.63,384,1.000,bicubic,-46.555,-38.400,-67 -tresnet_v2_l,38.995,61.005,59.471,40.529,46.17,224,0.875,bilinear,-44.907,-37.021,+44 -resnetv2_152x2_bit_teacher_384,38.979,61.021,62.440,37.560,236.34,384,1.000,bicubic,-44.865,-34.678,+48 -maxvit_small_tf_224.in1k,38.881,61.119,59.174,40.826,68.93,224,0.950,bicubic,-45.553,-37.990,+4 -coatnet_rmlp_2_rw_224,38.843,61.157,58.030,41.970,73.88,224,0.950,bicubic,-45.757,-38.706,-13 -vit_base_patch32_384.augreg_in21k_ft_in1k,38.794,61.206,60.329,39.671,88.30,384,1.000,bicubic,-44.556,-36.507,+83 -tf_efficientnetv2_m.in1k,38.720,61.280,59.809,40.191,54.14,480,1.000,bicubic,-46.488,-37.559,-50 -eca_nfnet_l2,38.664,61.336,59.445,40.555,56.72,384,1.000,bicubic,-46.033,-37.819,-20 -mvitv2_small,38.580,61.420,58.123,41.877,34.87,224,0.900,bicubic,-45.188,-38.447,+51 -xcit_small_12_p8_384_dist,38.549,61.451,58.799,41.201,26.21,384,1.000,bicubic,-46.539,-38.483,-44 -xcit_small_24_p16_384_dist,38.503,61.497,58.384,41.616,47.67,384,1.000,bicubic,-46.595,-38.926,-47 -mvitv2_base,38.456,61.544,57.930,42.070,51.47,224,0.900,bicubic,-45.966,-38.934,-2 -xcit_small_12_p8_224_dist,38.372,61.628,58.791,41.209,26.21,224,1.000,bicubic,-45.860,-37.987,+10 -tf_efficientnet_b5.ra_in1k,38.356,61.644,59.913,40.087,30.39,456,0.934,bicubic,-45.456,-36.835,+41 -deit_base_distilled_patch16_384,38.260,61.740,57.783,42.217,87.63,384,1.000,bicubic,-47.162,-39.549,-73 -dm_nfnet_f4,38.224,61.776,58.626,41.374,316.07,512,0.951,bicubic,-47.490,-38.894,-86 -xcit_large_24_p8_224,38.114,61.886,57.873,42.127,188.93,224,1.000,bicubic,-46.278,-38.783,-4 -vit_base_patch16_384.orig_in21k_ft_in1k,38.099,61.901,60.428,39.572,86.86,384,1.000,bicubic,-46.111,-36.790,+7 -resnetv2_152x2_bitm,37.985,62.015,61.135,38.865,236.34,448,1.000,bilinear,-46.525,-36.297,-20 -pvt_v2_b4,37.941,62.059,58.207,41.793,62.56,224,0.900,bicubic,-45.775,-38.513,+45 -cait_s24_384,37.873,62.127,58.079,41.921,47.06,384,1.000,bicubic,-47.173,-39.267,-51 -resnet152d,37.857,62.143,58.356,41.644,60.21,320,1.000,bicubic,-45.823,-38.382,+48 -resnetrs420,37.747,62.253,58.215,41.785,191.89,416,1.000,bicubic,-47.261,-38.909,-51 -xcit_small_24_p16_224_dist,37.717,62.283,57.360,42.640,47.67,224,1.000,bicubic,-46.145,-39.368,+25 -deit3_medium_patch16_224,37.712,62.288,57.087,42.913,38.85,224,0.900,bicubic,-45.368,-39.205,+82 -resnetrs350,37.676,62.324,58.083,41.917,163.96,384,1.000,bicubic,-47.044,-38.905,-40 -pit_b_distilled_224,37.590,62.410,57.238,42.762,74.79,224,0.900,bicubic,-46.554,-39.618,+4 -xcit_small_12_p16_384_dist,37.576,62.424,57.769,42.231,26.25,384,1.000,bicubic,-47.130,-39.349,-41 -pvt_v2_b5,37.527,62.473,57.262,42.738,81.96,224,0.900,bicubic,-46.213,-39.450,+33 -resnet200d,37.505,62.495,58.297,41.703,64.69,320,1.000,bicubic,-46.457,-38.526,+12 -maxvit_rmlp_tiny_rw_256,37.393,62.607,57.187,42.813,29.15,256,0.950,bicubic,-46.839,-39.689,-7 -resnetv2_152x2_bit_teacher,37.324,62.676,59.390,40.610,236.34,224,0.875,bicubic,-45.538,-37.178,+88 -resnest269e,37.315,62.685,57.468,42.532,110.93,416,0.928,bicubic,-47.203,-39.468,-36 -convnext_base.fb_in1k,37.307,62.693,57.317,42.683,88.59,288,1.000,bicubic,-47.127,-39.503,-28 -resmlp_big_24_224_in22ft1k,37.244,62.756,58.184,41.816,129.14,224,0.875,bicubic,-47.150,-38.699,-24 -vit_small_r26_s32_224.augreg_in21k_ft_in1k,37.234,62.766,59.060,40.940,36.43,224,0.900,bicubic,-44.624,-36.962,+173 -cait_s24_224,37.153,62.847,56.724,43.276,46.92,224,1.000,bicubic,-46.299,-39.840,+41 -efficientformer_l7,37.126,62.874,56.896,43.104,82.23,224,0.950,bicubic,-46.260,-39.644,+49 -pvt_v2_b3,37.114,62.886,57.331,42.669,45.24,224,0.900,bicubic,-46.012,-39.225,+65 -volo_d1_384,37.083,62.917,57.130,42.870,26.78,384,1.000,bicubic,-48.167,-40.066,-87 -vit_base_patch32_224.augreg_in21k_ft_in1k,37.077,62.923,59.294,40.706,88.22,224,0.900,bicubic,-43.647,-36.274,+246 -tf_efficientnet_b3.ap_in1k,37.055,62.945,57.240,42.760,12.23,300,0.904,bicubic,-44.767,-38.384,+169 -efficientnetv2_rw_s.ra2_in1k,37.049,62.951,56.814,43.186,23.94,384,1.000,bicubic,-46.759,-39.910,+13 -maxvit_tiny_tf_224.in1k,37.016,62.984,56.902,43.098,30.92,224,0.950,bicubic,-46.382,-39.686,+39 -swinv2_base_window16_256,36.996,63.004,56.138,43.862,87.92,256,0.900,bicubic,-47.598,-40.936,-52 -regnetz_040h,36.973,63.027,57.285,42.715,28.94,320,1.000,bicubic,-47.521,-39.721,-46 -xcit_small_12_p16_224_dist,36.973,63.027,56.733,43.267,26.25,224,1.000,bicubic,-46.377,-39.681,+43 -volo_d1_224,36.884,63.116,56.639,43.361,26.63,224,0.960,bicubic,-47.280,-40.137,-18 -seresnet152d,36.790,63.210,56.718,43.282,66.84,320,1.000,bicubic,-47.572,-40.322,-34 -maxxvit_rmlp_small_rw_256,36.705,63.295,56.022,43.978,66.01,256,0.950,bicubic,-47.923,-41.040,-60 -seresnext101d_32x8d,36.641,63.359,56.336,43.664,93.59,288,1.000,bicubic,-47.730,-40.580,-37 -volo_d2_224,36.595,63.405,56.468,43.532,58.68,224,0.960,bicubic,-48.601,-40.720,-93 -xception65p,36.556,63.444,56.429,43.571,39.82,299,0.940,bicubic,-46.574,-40.051,+50 -seresnextaa101d_32x8d,36.527,63.473,56.403,43.597,93.59,288,1.000,bicubic,-48.041,-40.667,-60 -regnetz_d32,36.444,63.556,57.372,42.628,27.58,320,0.950,bicubic,-47.578,-39.494,-16 -efficientnet_b3.ra2_in1k,36.420,63.580,56.845,43.155,12.23,320,1.000,bicubic,-45.822,-39.269,+122 -cait_xs24_384,36.416,63.584,56.944,43.056,26.67,384,1.000,bicubic,-47.645,-39.945,-23 -volo_d2_384,36.416,63.584,56.311,43.689,58.87,384,1.000,bicubic,-49.620,-41.261,-144 -deit_base_distilled_patch16_224,36.397,63.603,56.617,43.383,87.34,224,0.900,bicubic,-46.991,-39.871,+26 -resnetv2_101x3_bitm,36.381,63.619,59.070,40.930,387.93,448,1.000,bilinear,-48.059,-38.312,-56 -gcvit_base,36.371,63.629,55.896,44.104,90.32,224,0.875,bicubic,-48.077,-41.186,-58 -resnetrs270,36.320,63.680,56.562,43.438,129.86,352,1.000,bicubic,-48.114,-40.408,-55 -tresnet_m,36.285,63.715,55.796,44.204,31.39,224,0.875,bilinear,-46.795,-40.322,+45 -mixer_b16_224_miil,36.269,63.731,55.965,44.035,59.88,224,0.875,bilinear,-46.039,-39.751,+109 -convnext_small.fb_in1k,36.251,63.749,55.914,44.086,50.22,288,1.000,bicubic,-47.455,-40.896,+3 -tf_efficientnet_b2.ns_jft_in1k,36.183,63.817,57.551,42.449,9.11,260,0.890,bicubic,-46.197,-38.697,+96 -deit3_small_patch16_384,36.183,63.817,55.564,44.436,22.21,384,1.000,bicubic,-47.243,-41.112,+14 -mvitv2_tiny,36.161,63.839,55.128,44.872,24.17,224,0.900,bicubic,-46.243,-41.028,+90 -resnet152,36.086,63.914,55.550,44.450,60.19,224,0.950,bicubic,-46.736,-40.576,+53 -regnetz_040,36.051,63.949,55.745,44.255,27.12,320,1.000,bicubic,-48.185,-41.187,-48 -ecaresnet101d,36.004,63.996,56.165,43.835,44.57,224,0.875,bicubic,-46.168,-39.881,+114 -dm_nfnet_f2,36.004,63.996,55.456,44.544,193.78,352,0.920,bicubic,-49.060,-41.784,-102 -resnest200e,35.931,64.069,55.849,44.151,70.20,320,0.909,bicubic,-47.901,-41.045,-19 -swsl_resnet18,35.858,64.142,58.455,41.545,11.69,224,0.875,bilinear,-37.418,-33.279,+505 -sequencer2d_l,35.825,64.175,55.712,44.288,54.30,224,0.875,bicubic,-47.581,-40.794,+6 -eca_nfnet_l1,35.823,64.177,55.957,44.043,41.41,320,1.000,bicubic,-48.187,-41.071,-35 -vit_base_patch16_224.orig_in21k_ft_in1k,35.768,64.232,57.390,42.610,86.57,224,0.900,bicubic,-46.018,-38.732,+138 -gcvit_small,35.746,64.254,54.821,45.179,51.09,224,0.875,bicubic,-48.138,-41.837,-30 -vit_relpos_medium_patch16_cls_224.sw_in1k,35.740,64.260,54.918,45.082,38.76,224,0.900,bicubic,-46.822,-41.252,+68 -xcit_small_24_p8_224,35.546,64.454,54.788,45.212,47.63,224,1.000,bicubic,-48.292,-41.848,-27 -xcit_small_12_p8_224,35.520,64.480,55.511,44.489,26.21,224,1.000,bicubic,-47.824,-40.969,+10 -xcit_large_24_p16_224,35.520,64.480,54.760,45.240,189.10,224,1.000,bicubic,-47.376,-41.122,+37 -flexivit_base.1200ep_in1k,35.519,64.481,53.843,46.157,86.59,240,0.950,bicubic,-49.145,-43.149,-94 -vit_small_patch16_384.augreg_in21k_ft_in1k,35.479,64.521,57.549,42.451,22.20,384,1.000,bicubic,-48.323,-39.553,-27 -xcit_medium_24_p8_224,35.446,64.554,54.827,45.173,84.32,224,1.000,bicubic,-48.288,-41.567,-23 -swinv2_small_window16_256,35.446,64.554,54.641,45.359,49.73,256,0.900,bicubic,-48.760,-42.230,-59 -swinv2_base_window8_256,35.444,64.556,54.617,45.383,87.92,256,0.900,bicubic,-48.818,-42.305,-67 -resnest101e,35.373,64.627,55.780,44.220,48.28,256,0.875,bilinear,-47.517,-40.540,+31 -convit_base,35.314,64.686,54.927,45.073,86.54,224,0.875,bicubic,-46.974,-41.081,+87 -efficientformer_l3,35.263,64.737,54.487,45.513,31.41,224,0.950,bicubic,-47.287,-41.761,+58 -xcit_tiny_24_p8_224_dist,35.253,64.747,55.258,44.742,12.11,224,1.000,bicubic,-47.309,-40.809,+55 -edgenext_base,35.208,64.792,55.128,44.872,18.51,320,1.000,bicubic,-48.752,-41.640,-49 -flexivit_base.600ep_in1k,35.137,64.863,53.662,46.338,86.59,240,0.950,bicubic,-49.381,-43.324,-95 -twins_svt_large,35.086,64.914,54.721,45.279,99.27,224,0.900,bicubic,-48.592,-41.873,-23 -repvgg_b3g4,35.043,64.957,54.772,45.228,83.83,224,0.875,bilinear,-45.169,-40.338,+233 -repvgg_b3,35.043,64.957,54.542,45.458,123.09,224,0.875,bilinear,-45.449,-40.718,+205 -regnetz_d8,34.998,65.002,55.939,44.061,23.37,320,1.000,bicubic,-49.052,-41.059,-62 -dm_nfnet_f1,34.990,65.010,54.108,45.892,132.63,320,0.910,bicubic,-49.636,-42.992,-107 -xcit_tiny_24_p8_384_dist,34.925,65.075,55.153,44.847,12.11,384,1.000,bicubic,-48.815,-41.481,-38 -regnetz_d8_evos,34.898,65.103,55.258,44.742,23.46,320,0.950,bicubic,-49.152,-41.736,-64 -resnet101d,34.872,65.128,54.202,45.798,44.57,320,1.000,bicubic,-48.150,-42.244,+12 -coatnet_1_rw_224,34.840,65.159,53.426,46.574,41.72,224,0.950,bicubic,-48.768,-42.962,-30 -swin_s3_base_224,34.797,65.203,53.707,46.293,71.13,224,0.900,bicubic,-49.133,-42.955,-59 -flexivit_base.300ep_in1k,34.797,65.203,53.171,46.829,86.59,240,0.950,bicubic,-49.597,-43.949,-91 -coatnet_rmlp_1_rw_224,34.795,65.205,53.951,46.049,41.69,224,0.950,bicubic,-48.563,-42.505,-17 -maxvit_tiny_rw_224,34.789,65.211,53.347,46.653,29.06,224,0.950,bicubic,-48.715,-43.154,-30 -resmlp_big_24_distilled_224,34.788,65.213,54.637,45.363,129.14,224,0.875,bicubic,-48.800,-42.011,-34 -seresnext101_32x8d,34.788,65.213,53.462,46.538,93.57,288,1.000,bicubic,-49.404,-43.412,-80 -vit_relpos_base_patch16_clsgap_224.sw_in1k,34.728,65.272,54.218,45.782,86.43,224,0.900,bicubic,-48.034,-41.956,+18 -sequencer2d_m,34.709,65.291,53.998,46.002,38.31,224,0.875,bicubic,-48.097,-42.270,+15 -vit_base_patch16_rpn_224.in1k,34.705,65.295,54.658,45.342,86.54,224,0.900,bicubic,-47.497,-41.338,+71 -resnet101,34.681,65.319,54.318,45.682,44.55,224,0.950,bicubic,-47.257,-41.436,+94 -deit3_small_patch16_224,34.677,65.323,53.159,46.841,22.06,224,0.900,bicubic,-46.709,-42.291,+130 -vit_large_patch32_384.orig_in21k_ft_in1k,34.673,65.326,55.729,44.271,306.63,384,1.000,bicubic,-46.833,-40.363,+118 -dm_nfnet_f0,34.618,65.382,54.672,45.328,71.49,256,0.900,bicubic,-48.767,-41.900,-29 -vit_relpos_base_patch16_224.sw_in1k,34.611,65.389,54.287,45.713,86.43,224,0.900,bicubic,-47.873,-41.855,+37 -ssl_resnext101_32x16d,34.603,65.397,55.931,44.069,194.03,224,0.875,bilinear,-47.241,-40.165,+93 -repvgg_b2g4,34.587,65.413,54.782,45.218,61.76,224,0.875,bilinear,-44.779,-39.906,+258 -resnetv2_101,34.583,65.417,53.155,46.845,44.54,224,0.950,bicubic,-47.447,-42.705,+77 -gcvit_tiny,34.567,65.433,53.245,46.755,28.22,224,0.875,bicubic,-48.833,-43.153,-38 -resnetrs200,34.505,65.496,54.283,45.717,93.21,320,1.000,bicubic,-49.943,-42.561,-119 -resnest50d_4s2x40d,34.355,65.645,54.725,45.275,30.42,224,0.875,bicubic,-46.753,-40.833,+139 -resnetrs152,34.355,65.645,53.562,46.438,86.62,320,1.000,bicubic,-49.357,-43.052,-56 -pvt_v2_b2_li,34.308,65.692,54.094,45.906,22.55,224,0.900,bicubic,-47.888,-42.010,+59 -crossvit_18_dagger_408,34.251,65.749,53.092,46.908,44.61,408,1.000,bicubic,-49.945,-43.726,-98 -xcit_medium_24_p16_224,34.243,65.757,53.159,46.841,84.40,224,1.000,bicubic,-48.393,-42.817,+10 -tf_efficientnet_b1.ns_jft_in1k,34.157,65.843,55.489,44.511,7.79,240,0.882,bicubic,-47.231,-40.249,+115 -efficientnetv2_rw_t.ra2_in1k,34.155,65.845,53.131,46.869,13.65,288,1.000,bicubic,-48.193,-43.065,+38 -twins_pcpvt_large,34.111,65.888,54.128,45.872,60.99,224,0.900,bicubic,-49.029,-42.470,-28 -tf_efficientnet_b4.aa_in1k,34.064,65.936,54.198,45.802,19.34,380,0.922,bicubic,-48.958,-42.102,-16 -ssl_resnext101_32x8d,34.017,65.983,55.601,44.399,88.79,224,0.875,bilinear,-47.599,-40.437,+93 -nfnet_l0,34.002,65.999,54.365,45.635,35.07,288,1.000,bicubic,-48.748,-42.151,-4 -tf_efficientnet_b6.aa_in1k,33.998,66.002,54.544,45.456,43.04,528,0.942,bicubic,-50.112,-42.342,-101 -efficientnet_b3_pruned.in1k,33.996,66.004,54.108,45.892,9.86,300,0.904,bicubic,-46.862,-41.134,+148 -xcit_small_24_p16_224,33.996,66.004,53.285,46.715,47.67,224,1.000,bicubic,-48.584,-42.719,+9 -regnety_160,33.976,66.024,53.546,46.454,83.59,288,1.000,bicubic,-49.710,-43.230,-67 -gc_efficientnetv2_rw_t.agc_in1k,33.952,66.048,53.220,46.780,13.68,288,1.000,bicubic,-48.512,-43.078,+18 -pit_s_distilled_224,33.939,66.061,53.265,46.735,24.04,224,0.900,bicubic,-48.057,-42.533,+60 -swinv2_cr_small_ns_224,33.842,66.158,52.618,47.382,49.70,224,0.900,bicubic,-49.646,-43.868,-62 -resnext101_64x4d,33.833,66.168,52.166,47.834,83.46,288,1.000,bicubic,-49.315,-44.206,-41 -xcit_small_12_p16_224,33.776,66.225,53.233,46.767,26.25,224,1.000,bicubic,-48.199,-42.583,+59 -swin_s3_small_224,33.705,66.295,52.396,47.604,49.74,224,0.900,bicubic,-50.065,-44.054,-83 -resnetv2_50x3_bitm,33.660,66.341,55.882,44.118,217.32,448,1.000,bilinear,-50.354,-41.242,-103 -swinv2_small_window8_256,33.646,66.354,52.813,47.187,49.73,256,0.900,bicubic,-50.210,-43.827,-94 -resnet51q,33.563,66.437,53.021,46.979,35.70,288,1.000,bilinear,-48.797,-43.159,+19 -xcit_tiny_24_p16_384_dist,33.510,66.490,52.774,47.226,12.12,384,1.000,bicubic,-49.060,-43.512,-1 -vit_relpos_medium_patch16_224.sw_in1k,33.498,66.502,52.601,47.399,38.75,224,0.900,bicubic,-48.968,-43.487,+7 -regnety_080,33.467,66.533,52.947,47.053,39.18,288,1.000,bicubic,-50.465,-43.941,-104 -cs3edgenet_x,33.451,66.549,52.921,47.079,47.82,288,1.000,bicubic,-49.251,-43.449,-18 -sequencer2d_s,33.426,66.574,52.398,47.602,27.65,224,0.875,bicubic,-48.916,-43.632,+18 -convmixer_1536_20,33.420,66.580,53.027,46.973,51.63,224,0.960,bicubic,-47.956,-42.587,+94 -regnety_032,33.412,66.588,52.754,47.246,19.44,288,1.000,bicubic,-49.312,-43.670,-23 -crossvit_18_240,33.400,66.600,52.241,47.759,43.27,240,0.875,bicubic,-49.000,-43.813,+6 -vit_srelpos_medium_patch16_224.sw_in1k,33.371,66.629,52.461,47.539,38.74,224,0.900,bicubic,-48.865,-43.473,+25 -tf_efficientnetv2_b3.in21k_ft_in1k,33.365,66.635,54.933,45.067,14.36,300,0.900,bicubic,-49.307,-41.691,-21 -gernet_l,33.357,66.643,51.901,48.099,31.08,256,0.875,bilinear,-47.997,-43.635,+90 -crossvit_15_dagger_408,33.331,66.669,52.194,47.806,28.50,408,1.000,bicubic,-50.507,-44.588,-105 -crossvit_18_dagger_240,33.290,66.710,52.198,47.802,44.27,240,0.875,bicubic,-49.228,-44.162,-6 -tresnet_xl,33.257,66.743,52.294,47.706,78.44,224,0.875,bilinear,-48.797,-43.642,+35 -jx_nest_base,33.214,66.787,51.811,48.189,67.72,224,0.875,bicubic,-50.339,-44.559,-86 -convnext_tiny.fb_in1k,33.164,66.836,52.672,47.328,28.59,288,1.000,bicubic,-49.536,-43.464,-29 -resnest50d_1s4x24d,33.147,66.853,52.839,47.161,25.68,224,0.875,bicubic,-47.841,-42.483,+108 -convnext_nano.in12k_ft_in1k,33.119,66.881,53.970,46.030,15.59,288,1.000,bicubic,-49.739,-42.586,-42 -vit_relpos_medium_patch16_rpn_224.sw_in1k,33.103,66.897,52.353,47.647,38.73,224,0.900,bicubic,-49.195,-43.621,+10 -resnet61q,33.097,66.903,51.754,48.246,36.85,288,1.000,bicubic,-49.427,-44.376,-15 -maxxvit_rmlp_nano_rw_256,33.088,66.912,51.854,48.146,16.78,256,0.950,bicubic,-49.942,-44.490,-54 -jx_nest_small,33.042,66.957,51.062,48.938,38.35,224,0.875,bicubic,-50.078,-45.266,-62 -crossvit_base_240,33.033,66.967,51.394,48.606,105.03,240,0.875,bicubic,-49.183,-44.436,+13 -twins_pcpvt_base,33.021,66.979,52.485,47.515,43.83,224,0.900,bicubic,-49.687,-43.861,-39 -pvt_v2_b2,33.015,66.985,52.037,47.963,25.36,224,0.900,bicubic,-49.061,-43.925,+21 -xcit_tiny_24_p16_224_dist,32.989,67.011,52.056,47.944,12.12,224,1.000,bicubic,-47.457,-43.162,+137 -rexnet_200,32.987,67.013,52.939,47.061,16.37,224,0.875,bicubic,-48.645,-42.729,+50 -resnest50d,32.972,67.028,52.713,47.287,27.48,224,0.875,bilinear,-48.002,-42.665,+98 -tf_efficientnetv2_s.in1k,32.915,67.085,51.726,48.274,21.46,384,1.000,bicubic,-50.979,-44.972,-127 -convit_small,32.913,67.087,52.123,47.877,27.78,224,0.875,bicubic,-48.513,-43.621,+63 -crossvit_15_dagger_240,32.903,67.097,51.783,48.217,28.21,240,0.875,bicubic,-49.429,-44.735,-6 -convnext_tiny_hnf.a2h_in1k,32.895,67.105,51.190,48.810,28.59,288,1.000,bicubic,-49.695,-44.826,-37 -vit_small_patch16_224.augreg_in21k_ft_in1k,32.885,67.115,53.923,46.077,22.05,224,0.900,bicubic,-48.517,-42.211,+63 -tf_efficientnet_b3.aa_in1k,32.860,67.140,52.950,47.050,12.23,300,0.904,bicubic,-48.776,-42.768,+42 -pnasnet5large,32.848,67.152,50.500,49.500,86.06,331,0.911,bicubic,-49.934,-45.540,-54 -regnetv_064,32.836,67.164,52.854,47.146,30.58,288,1.000,bicubic,-50.876,-43.894,-115 -twins_svt_base,32.836,67.164,51.559,48.441,56.07,224,0.900,bicubic,-50.300,-44.859,-80 -regnetz_c16,32.821,67.180,53.744,46.256,13.46,320,0.940,bicubic,-49.697,-42.328,-32 -nasnetalarge,32.775,67.225,50.141,49.859,88.75,331,0.911,bicubic,-49.845,-45.906,-46 -gernet_m,32.740,67.260,51.913,48.087,21.14,224,0.875,bilinear,-47.992,-43.271,+101 -inception_resnet_v2,32.738,67.262,50.648,49.352,55.84,299,0.897,bicubic,-47.720,-44.658,+120 -gluon_resnet152_v1d,32.734,67.266,51.088,48.912,60.21,224,0.875,bicubic,-47.740,-44.118,+116 -pit_b_224,32.718,67.282,49.852,50.148,73.76,224,0.900,bicubic,-49.728,-45.858,-31 -tf_efficientnet_b2.ap_in1k,32.681,67.319,52.239,47.761,9.11,260,0.890,bicubic,-47.619,-42.789,+134 -fbnetv3_g.ra2_in1k,32.630,67.370,52.892,47.108,16.62,288,0.950,bilinear,-49.418,-43.172,+5 -tresnet_l,32.559,67.441,51.139,48.861,55.99,224,0.875,bilinear,-48.929,-44.485,+42 -cait_xxs36_384,32.549,67.451,52.233,47.767,17.37,384,1.000,bicubic,-49.645,-43.915,-8 -regnetz_c16_evos,32.539,67.461,52.915,47.085,13.49,320,0.950,bicubic,-50.091,-43.559,-56 -wide_resnet50_2,32.439,67.561,51.459,48.541,68.88,224,0.875,bicubic,-49.017,-44.073,+43 -gmlp_s16_224,32.418,67.582,51.815,48.185,19.42,224,0.875,bicubic,-47.224,-42.783,+168 -ens_adv_inception_resnet_v2,32.372,67.628,50.427,49.573,55.84,299,0.897,bicubic,-47.610,-44.511,+145 -deit_base_patch16_224,32.363,67.637,51.011,48.989,86.57,224,0.900,bicubic,-49.635,-44.723,0 -maxvit_nano_rw_256,32.357,67.643,50.618,49.382,15.45,256,0.950,bicubic,-50.575,-45.604,-81 -swin_small_patch4_window7_224,32.341,67.659,50.905,49.095,49.61,224,0.900,bicubic,-50.871,-45.417,-103 -gluon_resnet152_v1s,32.331,67.669,50.526,49.474,60.32,224,0.875,bicubic,-48.685,-44.886,+69 -deit_small_distilled_patch16_224,32.284,67.716,52.102,47.898,22.44,224,0.900,bicubic,-48.916,-43.276,+52 -xcit_tiny_24_p8_224,32.274,67.726,51.901,48.099,12.11,224,1.000,bicubic,-49.626,-44.075,+6 -gluon_seresnext101_64x4d,32.205,67.795,50.319,49.681,88.23,224,0.875,bicubic,-48.689,-44.989,+76 -coat_lite_small,32.127,67.873,49.934,50.066,19.84,224,0.900,bicubic,-50.181,-45.916,-32 -gluon_seresnext101_32x4d,32.107,67.893,51.237,48.763,48.96,224,0.875,bicubic,-48.797,-44.057,+72 -flexivit_small.1200ep_in1k,32.087,67.912,50.296,49.704,22.06,240,0.950,bicubic,-50.438,-45.840,-57 -coatnext_nano_rw_224,32.076,67.924,51.019,48.981,14.70,224,0.900,bicubic,-49.872,-44.899,-3 -gcvit_xtiny,32.050,67.950,50.995,49.005,19.98,224,0.875,bicubic,-49.902,-44.971,-5 -deit_base_patch16_384,31.989,68.011,50.547,49.453,86.86,384,1.000,bicubic,-51.117,-45.825,-103 -seresnext50_32x4d,31.985,68.015,51.231,48.769,27.56,224,0.875,bicubic,-49.281,-44.389,+40 -maxvit_rmlp_nano_rw_256,31.966,68.034,50.626,49.374,15.50,256,0.950,bicubic,-50.996,-45.644,-96 -xcit_tiny_12_p8_224_dist,31.944,68.056,51.390,48.610,6.71,224,1.000,bicubic,-49.268,-44.210,+40 -coatnet_bn_0_rw_224,31.883,68.117,51.017,48.983,27.44,224,0.950,bicubic,-50.515,-45.165,-53 -levit_384,31.877,68.123,50.598,49.402,39.13,224,0.900,bicubic,-50.709,-45.418,-73 -resnetrs101,31.858,68.142,51.017,48.983,63.62,288,0.940,bicubic,-50.430,-44.921,-40 -cs3se_edgenet_x,31.803,68.197,50.773,49.227,50.72,320,1.000,bicubic,-51.745,-45.897,-141 -vit_relpos_small_patch16_224.sw_in1k,31.785,68.215,50.622,49.378,21.98,224,0.900,bicubic,-49.677,-45.206,+19 -poolformer_m48,31.702,68.298,49.883,50.117,73.47,224,0.950,bicubic,-50.760,-46.075,-62 -convnext_tiny.fb_in22k_ft_in1k,31.679,68.321,51.785,48.215,28.59,288,1.000,bicubic,-47.229,-42.889,+191 -flexivit_small.600ep_in1k,31.649,68.351,49.366,50.634,22.06,240,0.950,bicubic,-50.705,-46.720,-55 -tnt_s_patch16_224,31.643,68.357,51.143,48.857,23.76,224,0.900,bicubic,-49.875,-44.605,+9 -eca_nfnet_l0,31.612,68.388,51.614,48.386,24.14,288,1.000,bicubic,-50.968,-44.876,-79 -resnetv2_50x1_bit_distilled,31.584,68.416,51.263,48.737,25.55,224,0.875,bicubic,-51.234,-45.259,-100 -coatnet_rmlp_nano_rw_224,31.545,68.455,50.170,49.830,15.15,224,0.900,bicubic,-50.519,-45.700,-32 -xception41p,31.516,68.484,50.374,49.626,26.91,299,0.940,bicubic,-50.442,-45.420,-23 -mobilevitv2_200_in22ft1k,31.510,68.490,51.758,48.242,18.45,256,0.888,bicubic,-50.814,-44.182,-55 -regnety_064,31.474,68.526,50.528,49.472,30.58,288,1.000,bicubic,-52.242,-46.146,-163 -poolformer_m36,31.443,68.557,50.036,49.964,56.17,224,0.950,bicubic,-50.667,-45.652,-39 -flexivit_small.300ep_in1k,31.439,68.561,49.215,50.785,22.06,240,0.950,bicubic,-50.733,-46.809,-42 -ssl_resnext101_32x4d,31.423,68.577,52.121,47.879,44.18,224,0.875,bilinear,-49.501,-43.607,+46 -inception_v4,31.378,68.622,49.244,50.756,42.68,299,0.875,bicubic,-48.790,-45.724,+100 -rexnet_150,31.366,68.634,51.288,48.712,9.73,224,0.875,bicubic,-48.944,-43.878,+88 -crossvit_15_240,31.341,68.659,50.168,49.832,27.53,240,0.875,bicubic,-50.195,-45.524,-5 -efficientformer_l1,31.333,68.667,50.449,49.551,12.29,224,0.950,bicubic,-49.169,-44.549,+65 -pit_s_224,31.333,68.667,49.661,50.339,23.46,224,0.900,bicubic,-49.761,-45.909,+29 -swinv2_tiny_window16_256,31.313,68.687,49.630,50.370,28.35,256,0.900,bicubic,-51.497,-46.602,-112 -vit_srelpos_small_patch16_224.sw_in1k,31.280,68.720,50.243,49.757,21.97,224,0.900,bicubic,-49.814,-45.089,+26 -cait_xxs36_224,31.278,68.722,50.616,49.384,17.30,224,1.000,bicubic,-48.472,-44.250,+116 -crossvit_small_240,31.276,68.724,50.192,49.808,26.86,240,0.875,bicubic,-49.744,-45.268,+29 -cspresnet50,31.270,68.730,51.223,48.777,21.62,256,0.887,bilinear,-48.304,-43.489,+126 -swinv2_cr_small_224,31.256,68.744,48.747,51.253,49.70,224,0.900,bicubic,-51.890,-47.347,-141 -coatnet_0_rw_224,31.250,68.750,48.621,51.379,27.44,224,0.950,bicubic,-51.140,-47.215,-81 -convmixer_768_32,31.248,68.752,50.942,49.058,21.11,224,0.960,bicubic,-48.916,-44.130,+89 -swin_s3_tiny_224,31.242,68.757,49.720,50.280,28.33,224,0.900,bicubic,-50.880,-46.228,-56 -cspresnext50,31.229,68.771,50.889,49.111,20.57,256,0.887,bilinear,-49.317,-44.431,+49 -regnetv_040,31.211,68.789,50.115,49.885,20.64,288,1.000,bicubic,-51.983,-46.545,-149 -coat_mini,31.203,68.797,49.773,50.227,10.34,224,0.900,bicubic,-50.065,-45.619,+2 -xcit_tiny_12_p8_384_dist,31.191,68.809,50.522,49.478,6.71,384,1.000,bicubic,-51.197,-45.702,-86 -ecaresnetlight,31.121,68.879,50.243,49.757,30.16,224,0.875,bicubic,-49.341,-45.005,+56 -gluon_resnet101_v1s,31.115,68.885,49.793,50.207,44.67,224,0.875,bicubic,-49.187,-45.367,+71 -edgenext_small,31.103,68.897,50.131,49.869,5.59,320,1.000,bicubic,-50.465,-45.575,-25 -coatnet_nano_rw_224,31.093,68.907,49.586,50.414,15.14,224,0.900,bicubic,-50.607,-46.052,-34 -tf_efficientnet_cc_b0_8e.in1k,31.087,68.913,50.761,49.239,24.01,224,0.875,bicubic,-46.821,-42.892,+212 -resmlp_36_distilled_224,31.070,68.930,49.683,50.317,44.69,224,0.875,bicubic,-50.090,-45.805,+2 -ecaresnet50d,31.058,68.942,50.848,49.152,25.58,224,0.875,bicubic,-49.534,-44.472,+37 -ecaresnet50t,31.058,68.942,50.577,49.423,25.57,320,0.950,bicubic,-51.288,-45.561,-89 -cs3sedarknet_x,31.028,68.972,50.135,49.865,35.40,288,1.000,bicubic,-51.626,-46.219,-122 -resnet50d,31.020,68.980,49.808,50.192,25.58,224,0.875,bicubic,-49.510,-45.352,+38 -cspdarknet53,31.017,68.984,50.390,49.610,27.64,256,0.887,bilinear,-49.042,-44.694,+79 -gcresnet50t,31.009,68.991,50.123,49.877,25.90,256,0.900,bicubic,-49.931,-45.331,+14 -gluon_resnet152_v1c,30.991,69.009,48.924,51.076,60.21,224,0.875,bicubic,-48.919,-45.916,+83 -gluon_resnext101_64x4d,30.987,69.013,48.549,51.451,83.46,224,0.875,bicubic,-49.617,-46.439,+29 -twins_svt_small,30.985,69.015,49.223,50.777,24.06,224,0.900,bicubic,-50.697,-46.447,-44 -resnext50_32x4d,30.950,69.050,49.270,50.730,25.03,224,0.950,bicubic,-50.168,-46.062,-4 -resmlp_24_distilled_224,30.901,69.099,50.178,49.822,30.02,224,0.875,bicubic,-49.865,-45.040,+20 -tf_efficientnet_cc_b1_8e.in1k,30.899,69.101,50.080,49.920,39.72,240,0.882,bicubic,-48.409,-44.290,+114 -ecaresnet101d_pruned,30.897,69.103,50.013,49.987,24.88,224,0.875,bicubic,-49.921,-45.615,+16 -gluon_resnext101_32x4d,30.877,69.123,48.537,51.463,44.18,224,0.875,bicubic,-49.457,-46.389,+49 -tf_efficientnetv2_b3.in1k,30.861,69.139,49.814,50.186,14.36,300,0.904,bicubic,-51.109,-45.968,-68 -tf_efficientnet_lite4.in1k,30.830,69.170,50.386,49.614,13.01,380,0.920,bilinear,-50.706,-45.282,-41 -nf_resnet50,30.702,69.298,49.958,50.042,25.56,288,0.940,bicubic,-49.960,-45.378,+18 -dpn107,30.678,69.322,48.810,51.190,86.92,224,0.875,bicubic,-49.478,-46.100,+61 -xcit_tiny_24_p16_224,30.677,69.323,50.410,49.590,12.12,224,1.000,bicubic,-48.767,-44.472,+101 -poolformer_s36,30.667,69.333,49.435,50.565,30.86,224,0.900,bicubic,-50.749,-46.011,-35 -ese_vovnet39b,30.657,69.343,49.875,50.125,24.57,224,0.875,bicubic,-48.663,-44.837,+103 -gluon_resnet152_v1b,30.623,69.376,48.521,51.479,60.19,224,0.875,bicubic,-49.063,-46.215,+83 -tresnet_xl_448,30.614,69.386,49.069,50.931,78.44,448,0.875,bilinear,-52.436,-47.105,-167 -ssl_resnext50_32x4d,30.594,69.406,50.657,49.343,25.03,224,0.875,bilinear,-49.724,-44.749,+39 -haloregnetz_b,30.594,69.406,49.009,50.991,11.68,224,0.940,bicubic,-50.456,-46.187,-12 -gluon_resnet101_v1d,30.523,69.477,47.950,52.050,44.57,224,0.875,bicubic,-49.891,-47.064,+31 -dpn68b,30.517,69.483,49.162,50.838,12.61,224,0.875,bicubic,-48.699,-45.252,+110 -mobilevitv2_200_384_in22ft1k,30.498,69.502,50.575,49.425,18.45,384,1.000,bicubic,-52.896,-46.005,-198 -resnest26d,30.490,69.510,50.677,49.323,17.07,224,0.875,bilinear,-47.988,-43.621,+149 -efficientnet_b2.ra_in1k,30.435,69.565,49.698,50.302,9.11,288,1.000,bicubic,-50.177,-45.620,+6 -tf_efficientnet_b1.ap_in1k,30.421,69.579,49.553,50.447,7.79,240,0.882,bicubic,-48.859,-44.753,+101 -cs3darknet_x,30.409,69.591,49.187,50.813,35.05,288,1.000,bicubic,-51.819,-47.047,-106 -xcit_tiny_12_p16_384_dist,30.405,69.595,50.131,49.869,6.72,384,1.000,bicubic,-50.535,-45.279,-12 -resnetv2_50,30.386,69.614,48.834,51.166,25.55,224,0.950,bicubic,-50.046,-46.246,+21 -twins_pcpvt_small,30.382,69.618,49.386,50.614,24.11,224,0.900,bicubic,-50.706,-46.256,-24 -visformer_small,30.329,69.671,48.285,51.715,40.22,224,0.900,bicubic,-51.777,-47.587,-100 -pit_xs_distilled_224,30.278,69.722,49.836,50.164,11.00,224,0.900,bicubic,-49.028,-44.528,+91 -regnety_040,30.254,69.746,48.910,51.090,20.65,288,1.000,bicubic,-52.784,-47.600,-181 -mobilevitv2_175_in22ft1k,30.209,69.791,49.034,50.966,14.25,256,0.888,bicubic,-51.735,-46.758,-88 -vit_relpos_base_patch32_plus_rpn_256.sw_in1k,30.207,69.793,48.700,51.300,119.42,256,0.900,bicubic,-49.273,-45.438,+76 -convmixer_1024_20_ks9_p14,30.105,69.895,49.932,50.068,24.38,224,0.960,bicubic,-46.841,-43.426,+213 -seresnet50,30.077,69.923,49.292,50.708,28.09,224,0.875,bicubic,-50.197,-45.778,+28 -dpn98,30.067,69.933,48.244,51.756,61.57,224,0.875,bicubic,-49.575,-46.384,+67 -tf_efficientnet_b2.aa_in1k,30.026,69.974,49.581,50.419,9.11,260,0.890,bicubic,-50.060,-45.328,+37 -dpn131,30.024,69.976,48.146,51.854,79.25,224,0.875,bicubic,-49.798,-46.564,+52 -efficientnet_el.ra_in1k,30.018,69.982,48.834,51.166,10.59,300,0.904,bicubic,-51.298,-46.692,-53 -legacy_senet154,30.001,69.999,48.034,51.966,115.09,224,0.875,bilinear,-51.309,-47.462,-53 -xcit_tiny_12_p16_224_dist,29.997,70.003,49.641,50.359,6.72,224,1.000,bicubic,-48.581,-44.555,+124 -halo2botnet50ts_256,29.983,70.017,48.388,51.612,22.64,256,0.950,bicubic,-52.077,-47.248,-110 -dpn92,29.953,70.047,49.162,50.838,37.67,224,0.875,bicubic,-50.055,-45.674,+36 -mobilevitv2_150_in22ft1k,29.951,70.049,49.215,50.785,10.59,256,0.888,bicubic,-51.526,-46.459,-71 -resnetv2_101x1_bitm,29.898,70.102,51.121,48.879,44.54,448,1.000,bilinear,-52.434,-44.835,-137 -gluon_senet154,29.877,70.123,47.894,52.106,115.09,224,0.875,bicubic,-51.357,-47.454,-56 -xception,29.865,70.135,48.686,51.314,22.86,299,0.897,bicubic,-49.187,-45.706,+96 -cs3sedarknet_l,29.814,70.186,48.987,51.013,21.91,288,0.950,bicubic,-51.960,-46.981,-94 -adv_inception_v3,29.814,70.186,47.847,52.153,23.83,299,0.875,bicubic,-47.768,-45.889,+172 -resnetaa50,29.810,70.190,48.022,51.978,25.56,288,1.000,bicubic,-51.812,-47.786,-88 -vit_base_patch16_384.augreg_in1k,29.792,70.208,48.333,51.667,86.86,384,1.000,bicubic,-51.310,-46.999,-50 -gluon_xception65,29.784,70.216,47.755,52.245,39.92,299,0.903,bicubic,-49.932,-47.105,+43 -lamhalobotnet50ts_256,29.755,70.245,48.344,51.656,22.57,256,0.950,bicubic,-51.789,-47.160,-87 -fbnetv3_d.ra2_in1k,29.743,70.257,49.472,50.528,10.31,256,0.950,bilinear,-49.937,-45.472,+46 -convnext_nano.d1h_in1k,29.698,70.302,47.920,52.080,15.59,288,1.000,bicubic,-51.772,-47.738,-81 -resmlp_36_224,29.692,70.308,48.969,51.031,44.69,224,0.875,bicubic,-50.078,-45.917,+36 -vit_base_patch32_384.augreg_in1k,29.657,70.343,48.985,51.015,88.30,384,1.000,bicubic,-49.103,-45.243,+101 -resnet50,29.639,70.361,46.729,53.271,25.56,224,0.950,bicubic,-50.735,-47.885,-6 -resnetblur50,29.625,70.375,48.250,51.750,25.56,224,0.875,bicubic,-49.661,-46.388,+65 -resnetv2_50d_gn,29.611,70.388,47.784,52.216,25.57,288,0.950,bicubic,-52.205,-48.140,-109 -jx_nest_tiny,29.543,70.457,46.994,53.006,17.06,224,0.875,bicubic,-51.871,-48.622,-82 -resnet50_gn,29.537,70.463,48.305,51.695,25.56,224,0.940,bicubic,-50.515,-46.641,+16 -efficientnet_em.ra2_in1k,29.486,70.514,48.946,51.054,6.90,240,0.882,bicubic,-49.766,-45.848,+65 -cs3darknet_l,29.474,70.526,48.217,51.783,21.16,288,0.950,bicubic,-51.422,-47.453,-47 -resnext101_32x8d,29.439,70.561,48.486,51.514,88.79,224,0.875,bilinear,-49.869,-46.032,+53 -gcresnext50ts,29.433,70.567,47.904,52.096,15.67,256,0.900,bicubic,-51.147,-47.266,-35 -coat_lite_mini,29.433,70.567,47.724,52.276,11.01,224,0.900,bicubic,-49.655,-46.880,+73 -ssl_resnet50,29.423,70.577,49.781,50.219,25.56,224,0.875,bilinear,-49.799,-45.051,+61 -deit_small_patch16_224,29.421,70.579,48.256,51.744,22.05,224,0.900,bicubic,-50.435,-46.796,+17 -sebotnet33ts_256,29.421,70.579,47.156,52.844,13.70,256,0.940,bicubic,-51.729,-48.018,-74 -nf_regnet_b1,29.390,70.611,49.425,50.575,10.22,288,0.900,bicubic,-49.903,-45.323,+52 -cait_xxs24_384,29.387,70.612,48.753,51.247,12.03,384,1.000,bicubic,-51.578,-46.893,-61 -edgenext_small_rw,29.352,70.648,48.743,51.257,7.83,320,1.000,bicubic,-51.104,-46.449,-27 -swin_tiny_patch4_window7_224,29.334,70.666,47.602,52.398,28.29,224,0.900,bicubic,-52.044,-47.938,-91 -resnet34d,29.328,70.671,48.409,51.591,21.82,224,0.875,bicubic,-47.788,-44.973,+164 -convnext_nano_ols.d1h_in1k,29.317,70.683,47.484,52.516,15.65,288,1.000,bicubic,-52.293,-48.156,-112 -cait_xxs24_224,29.303,70.697,48.535,51.465,11.96,224,1.000,bicubic,-49.083,-45.775,+101 -pvt_v2_b1,29.242,70.758,48.977,51.023,14.01,224,0.900,bicubic,-49.452,-45.515,+83 -maxvit_rmlp_pico_rw_256,29.226,70.774,47.721,52.279,7.52,256,0.950,bicubic,-51.290,-47.491,-42 -gcvit_xxtiny,29.216,70.784,48.372,51.628,12.00,224,0.875,bicubic,-50.498,-46.708,+16 -ecaresnet50d_pruned,29.215,70.785,48.453,51.547,19.94,224,0.875,bicubic,-50.501,-46.427,+13 -poolformer_s24,29.177,70.823,48.069,51.931,21.39,224,0.900,bicubic,-51.139,-46.969,-24 -tresnet_l_448,29.165,70.835,47.232,52.768,55.99,448,0.875,bilinear,-53.103,-48.744,-167 -gluon_inception_v3,29.124,70.876,46.955,53.045,23.83,299,0.875,bicubic,-49.682,-47.415,+70 -lambda_resnet50ts,29.118,70.882,46.973,53.027,21.54,256,0.950,bicubic,-52.048,-48.999,-91 -eca_resnet33ts,29.095,70.905,48.792,51.208,19.68,256,0.900,bicubic,-50.983,-46.178,-10 -xception71,29.047,70.953,47.405,52.595,42.34,299,0.903,bicubic,-50.826,-47.517,-2 -hrnet_w64,28.989,71.011,47.142,52.858,128.06,224,0.875,bilinear,-50.485,-47.510,+22 -xcit_tiny_12_p8_224,28.953,71.047,47.515,52.485,6.71,224,1.000,bicubic,-50.741,-47.537,+8 -regnetz_b16,28.941,71.059,47.246,52.754,9.72,288,0.940,bicubic,-51.775,-48.232,-63 -cs3darknet_focus_l,28.928,71.072,47.633,52.367,21.15,288,0.950,bicubic,-51.956,-48.049,-72 -tf_efficientnet_b0.ns_jft_in1k,28.902,71.098,49.011,50.989,5.29,224,0.875,bicubic,-49.756,-45.365,+72 -tf_efficientnet_b1.aa_in1k,28.886,71.114,47.503,52.497,7.79,240,0.882,bicubic,-49.940,-46.695,+60 -gluon_resnet101_v1b,28.878,71.121,46.389,53.611,44.55,224,0.875,bicubic,-50.427,-48.135,+26 -mobilevitv2_150_384_in22ft1k,28.873,71.127,47.924,52.076,10.59,384,1.000,bicubic,-53.721,-48.394,-217 -vit_small_patch32_384.augreg_in21k_ft_in1k,28.871,71.129,48.887,51.113,22.92,384,1.000,bicubic,-51.609,-46.711,-56 -resnetv2_50d_evos,28.867,71.133,46.672,53.328,25.59,288,0.950,bicubic,-53.109,-49.244,-159 -skresnext50_32x4d,28.818,71.182,46.497,53.503,27.48,224,0.875,bicubic,-51.338,-48.145,-25 -sehalonet33ts,28.778,71.222,46.586,53.414,13.69,256,0.940,bicubic,-52.180,-48.690,-87 -levit_256,28.745,71.255,46.723,53.277,18.89,224,0.900,bicubic,-52.765,-48.767,-130 -tf_efficientnet_lite3.in1k,28.660,71.340,47.354,52.646,8.20,300,0.904,bilinear,-51.160,-47.560,-10 -gluon_seresnext50_32x4d,28.651,71.349,46.436,53.564,27.56,224,0.875,bicubic,-51.267,-48.386,-21 -skresnet34,28.645,71.355,47.953,52.047,22.28,224,0.875,bicubic,-48.267,-45.369,+147 -hrnet_w40,28.641,71.359,47.454,52.546,57.56,224,0.875,bilinear,-50.279,-47.016,+44 -darknetaa53,28.639,71.361,46.945,53.055,36.02,288,1.000,bilinear,-51.883,-48.377,-69 -mobilevitv2_175_384_in22ft1k,28.615,71.385,47.144,52.856,14.25,384,1.000,bicubic,-54.327,-49.282,-251 -swinv2_tiny_window8_256,28.613,71.387,46.177,53.823,28.35,256,0.900,bicubic,-53.193,-49.817,-155 -halonet50ts,28.578,71.422,46.167,53.833,22.73,256,0.940,bicubic,-53.066,-49.441,-149 -tf_efficientnetv2_b0.in1k,28.566,71.434,47.079,52.921,7.14,224,0.875,bicubic,-49.790,-46.945,+72 -tv_resnet152,28.533,71.467,47.118,52.882,60.19,224,0.875,bilinear,-49.779,-46.920,+73 -xcit_tiny_12_p16_224,28.523,71.477,47.403,52.597,6.72,224,1.000,bicubic,-48.597,-46.309,+127 -repvgg_b2,28.427,71.573,47.038,52.962,89.02,224,0.875,bilinear,-50.365,-47.376,+44 -hrnet_w48,28.413,71.587,47.586,52.414,77.47,224,0.875,bilinear,-50.887,-46.926,+9 -swinv2_cr_tiny_ns_224,28.377,71.623,45.920,54.080,28.33,224,0.900,bicubic,-53.413,-49.904,-161 -gluon_resnext50_32x4d,28.375,71.624,45.328,54.672,25.03,224,0.875,bicubic,-50.978,-49.098,+1 -efficientnet_b2_pruned.in1k,28.362,71.638,47.051,52.949,8.31,260,0.890,bicubic,-51.554,-47.805,-34 -tf_efficientnet_b0.ap_in1k,28.346,71.654,47.531,52.469,5.29,224,0.875,bicubic,-48.740,-45.725,+124 -seresnet33ts,28.340,71.660,47.757,52.243,19.78,256,0.900,bicubic,-52.012,-47.349,-64 -darknet53,28.317,71.683,46.873,53.127,41.61,288,1.000,bicubic,-52.218,-48.547,-85 -tf_efficientnet_cc_b0_4e.in1k,28.315,71.685,47.364,52.636,13.31,224,0.875,bicubic,-48.991,-45.970,+109 -dla102x2,28.315,71.685,46.761,53.239,41.28,224,0.875,bilinear,-51.133,-47.879,-8 -dla169,28.313,71.687,47.391,52.609,53.39,224,0.875,bilinear,-50.375,-46.945,+40 -mixnet_xl.ra_in1k,28.287,71.713,46.702,53.298,11.90,224,0.875,bicubic,-52.189,-48.234,-82 -gluon_resnet50_v1d,28.246,71.754,45.878,54.122,25.58,224,0.875,bicubic,-50.828,-48.592,+17 -wide_resnet101_2,28.108,71.892,46.401,53.599,126.89,224,0.875,bilinear,-50.748,-47.881,+26 -gluon_resnet101_v1c,28.104,71.896,45.961,54.039,44.57,224,0.875,bicubic,-51.430,-48.617,-20 -regnetx_320,28.093,71.907,45.126,54.874,107.81,224,0.875,bicubic,-52.153,-49.900,-62 -densenet161,28.081,71.919,46.641,53.359,28.68,224,0.875,bicubic,-49.277,-46.997,+101 -regnety_320,28.059,71.941,45.444,54.556,145.05,224,0.875,bicubic,-52.751,-49.800,-106 -mobilevitv2_175,28.034,71.966,46.093,53.907,14.25,256,0.888,bicubic,-52.826,-49.162,-110 -gernet_s,28.022,71.978,46.723,53.277,8.17,224,0.875,bilinear,-48.894,-46.409,+118 -efficientnet_el_pruned.in1k,28.016,71.984,46.790,53.210,10.59,300,0.904,bicubic,-52.284,-48.428,-71 -levit_192,28.016,71.984,45.880,54.120,10.95,224,0.900,bicubic,-51.826,-48.906,-44 -vit_base_patch16_224.augreg_in1k,27.963,72.037,45.725,54.275,86.57,224,0.900,bicubic,-51.191,-48.375,+1 -xception41,27.888,72.112,45.890,54.110,26.97,299,0.903,bicubic,-50.628,-48.388,+32 -regnetx_160,27.817,72.183,45.617,54.383,54.28,224,0.875,bicubic,-52.039,-49.213,-49 -tf_inception_v3,27.784,72.216,45.721,54.279,23.83,299,0.875,bicubic,-50.076,-47.919,+71 -res2net101_26w_4s,27.768,72.232,45.179,54.821,45.21,224,0.875,bilinear,-51.430,-49.253,-5 -tf_efficientnetv2_b1.in1k,27.760,72.240,46.580,53.420,8.14,240,0.882,bicubic,-51.702,-48.142,-28 -vit_base_patch16_224.sam,27.709,72.291,45.106,54.894,86.57,224,0.900,bicubic,-52.533,-49.650,-74 -fbnetv3_b.ra2_in1k,27.676,72.324,46.989,53.011,8.60,256,0.950,bilinear,-51.474,-47.757,-5 -repvgg_b1,27.656,72.344,46.531,53.469,57.42,224,0.875,bilinear,-50.710,-47.567,+38 -hrnet_w44,27.621,72.379,45.837,54.163,67.06,224,0.875,bilinear,-51.275,-48.531,+7 -mobilevitv2_200,27.615,72.385,45.762,54.238,18.45,256,0.888,bicubic,-53.521,-49.604,-147 -gcresnet33ts,27.591,72.409,46.191,53.809,19.88,256,0.900,bicubic,-52.491,-48.807,-70 -inception_v3,27.556,72.444,45.267,54.733,23.83,299,0.875,bicubic,-49.884,-48.209,+80 -resmlp_24_224,27.521,72.479,45.696,54.304,30.02,224,0.875,bicubic,-51.853,-48.851,-33 -pit_xs_224,27.491,72.509,45.900,54.100,10.62,224,0.900,bicubic,-50.691,-48.268,+41 -regnetx_080,27.405,72.595,45.002,54.998,39.57,224,0.875,bicubic,-51.789,-49.558,-15 -hrnet_w30,27.381,72.619,46.554,53.446,37.71,224,0.875,bilinear,-50.825,-47.668,+38 -hrnet_w32,27.369,72.631,45.994,54.006,41.23,224,0.875,bilinear,-51.081,-48.192,+22 -convnext_pico.d1_in1k,27.354,72.646,45.648,54.352,9.05,288,0.950,bicubic,-53.072,-49.410,-103 -vit_small_patch16_384.augreg_in1k,27.328,72.672,46.114,53.886,22.20,384,1.000,bicubic,-53.792,-49.460,-155 -gluon_resnet50_v1s,27.326,72.674,45.222,54.778,25.68,224,0.875,bicubic,-51.386,-49.016,+5 -convnext_pico_ols.d1_in1k,27.305,72.695,45.644,54.356,9.06,288,1.000,bicubic,-53.159,-49.598,-112 -densenet201,27.265,72.735,46.222,53.778,20.01,224,0.875,bicubic,-50.021,-47.256,+75 -densenetblur121d,27.228,72.772,46.299,53.701,8.00,224,0.875,bicubic,-49.360,-46.893,+103 -efficientnet_b1_pruned.in1k,27.181,72.819,45.872,54.128,6.33,240,0.882,bicubic,-51.055,-47.962,+29 -tf_efficientnetv2_b2.in1k,27.163,72.837,44.570,55.430,10.10,260,0.890,bicubic,-53.045,-50.472,-90 -vit_base_patch32_224.augreg_in1k,27.141,72.859,45.175,54.825,88.22,224,0.900,bicubic,-47.763,-46.603,+136 -resnet33ts,27.134,72.866,45.338,54.662,19.68,256,0.900,bicubic,-52.080,-49.236,-30 -resnetrs50,27.110,72.890,45.029,54.971,35.69,224,0.910,bicubic,-52.782,-49.939,-78 -rexnet_130,27.094,72.906,45.933,54.067,7.56,224,0.875,bicubic,-52.406,-48.749,-56 -res2net50_26w_8s,27.078,72.921,44.428,55.572,48.40,224,0.875,bilinear,-52.122,-49.940,-32 -dla102x,27.061,72.939,45.474,54.526,26.31,224,0.875,bilinear,-51.449,-48.754,+3 -resnet32ts,27.037,72.963,45.253,54.747,17.96,256,0.900,bicubic,-51.967,-49.103,-22 -gmixer_24_224,27.027,72.972,44.361,55.639,24.72,224,0.875,bicubic,-51.008,-49.303,+29 -tv_resnet101,26.963,73.037,45.234,54.766,44.55,224,0.875,bilinear,-50.411,-48.306,+60 -resnext50d_32x4d,26.876,73.124,44.436,55.564,25.05,224,0.875,bicubic,-52.800,-50.430,-68 -regnetx_120,26.868,73.132,44.682,55.318,46.11,224,0.875,bicubic,-52.728,-50.056,-66 -rexnet_100,26.831,73.169,45.369,54.631,4.80,224,0.875,bicubic,-51.027,-48.501,+38 -densenet169,26.829,73.171,45.373,54.627,14.15,224,0.875,bicubic,-49.077,-47.653,+101 -legacy_seresnext101_32x4d,26.811,73.189,43.497,56.503,48.96,224,0.875,bilinear,-53.417,-51.521,-106 -tinynet_a.in1k,26.807,73.193,45.098,54.902,6.19,192,0.875,bicubic,-50.845,-48.438,+40 -regnety_120,26.788,73.212,44.454,55.546,51.82,224,0.875,bicubic,-53.578,-50.672,-122 -regnetx_064,26.784,73.216,44.927,55.073,26.21,224,0.875,bicubic,-52.288,-49.531,-34 -regnetx_032,26.703,73.297,45.236,54.764,15.30,224,0.875,bicubic,-51.469,-48.852,+13 -legacy_seresnet152,26.676,73.324,43.947,56.053,66.82,224,0.875,bilinear,-51.984,-50.423,-15 -densenet121,26.664,73.336,45.900,54.100,7.98,224,0.875,bicubic,-48.914,-46.752,+100 -efficientnet_es.ra_in1k,26.621,73.379,45.112,54.888,5.44,224,0.875,bicubic,-51.445,-48.814,+15 -res2net50_26w_6s,26.595,73.405,43.990,56.010,37.05,224,0.875,bilinear,-51.975,-50.134,-15 -repvgg_b1g4,26.579,73.421,45.084,54.916,39.97,224,0.875,bilinear,-51.015,-48.742,+37 -dla60x,26.552,73.448,45.023,54.977,17.35,224,0.875,bilinear,-51.694,-48.995,+1 -coat_lite_tiny,26.507,73.493,44.644,55.356,5.72,224,0.900,bicubic,-51.005,-49.272,+39 -tf_efficientnet_b0.aa_in1k,26.485,73.515,45.646,54.354,5.29,224,0.875,bicubic,-50.363,-47.582,+66 -res2net50_14w_8s,26.483,73.517,44.371,55.629,25.06,224,0.875,bilinear,-51.667,-49.477,+5 -mobilenetv3_large_100.miil_in21k_ft_in1k,26.481,73.519,44.473,55.527,5.48,224,0.875,bilinear,-51.435,-48.437,+16 -gluon_resnet50_v1b,26.436,73.564,44.035,55.965,25.56,224,0.875,bicubic,-51.144,-49.681,+33 -tf_efficientnet_el.in1k,26.357,73.643,44.175,55.825,10.59,300,0.904,bicubic,-53.893,-50.953,-125 -lambda_resnet26t,26.348,73.653,44.408,55.592,10.96,256,0.940,bicubic,-52.749,-50.184,-52 -levit_128,26.332,73.668,44.096,55.904,9.21,224,0.900,bicubic,-52.154,-49.914,-22 -resmlp_big_24_224,26.318,73.682,43.556,56.444,129.14,224,0.875,bicubic,-54.710,-51.466,-186 -resmlp_12_distilled_224,26.314,73.686,44.874,55.126,15.35,224,0.875,bicubic,-51.630,-48.684,+9 -regnetx_040,26.243,73.757,44.438,55.562,22.12,224,0.875,bicubic,-52.239,-49.806,-24 -mobilevitv2_150,26.190,73.810,43.764,56.236,10.59,256,0.888,bicubic,-54.186,-51.296,-144 -crossvit_9_dagger_240,26.183,73.817,44.544,55.456,8.78,240,0.875,bicubic,-50.797,-49.066,+49 -vit_small_patch32_224.augreg_in21k_ft_in1k,26.151,73.849,45.104,54.896,22.88,224,0.900,bicubic,-49.839,-48.168,+73 -dpn68,26.129,73.871,44.228,55.772,12.61,224,0.875,bicubic,-50.189,-48.750,+68 -efficientnet_b1.ft_in1k,26.061,73.939,44.080,55.920,7.79,256,1.000,bicubic,-52.733,-50.262,-44 -mobilevitv2_125,26.029,73.971,43.670,56.330,7.48,256,0.888,bicubic,-53.655,-51.180,-101 -lambda_resnet26rpt_256,26.025,73.975,44.188,55.812,10.99,256,0.940,bicubic,-52.945,-50.242,-55 -hrnet_w18,25.986,74.014,44.813,55.187,21.30,224,0.875,bilinear,-50.772,-48.631,+52 -hardcorenas_f,25.951,74.049,44.220,55.780,8.20,224,0.875,bilinear,-52.153,-49.582,-10 -vit_small_patch16_224.augreg_in1k,25.949,74.051,43.988,56.012,22.05,224,0.900,bicubic,-52.897,-50.296,-52 -resnet34,25.888,74.112,43.982,56.018,21.80,224,0.875,bilinear,-49.222,-48.302,+86 -res2net50_26w_4s,25.866,74.134,43.155,56.845,25.70,224,0.875,bilinear,-52.098,-50.699,-5 -resnet26t,25.852,74.148,43.953,56.047,16.01,256,0.940,bicubic,-52.030,-49.888,-2 -tresnet_m_448,25.852,74.148,42.874,57.126,31.39,448,0.875,bilinear,-55.862,-52.698,-252 -coat_tiny,25.843,74.157,43.276,56.724,5.50,224,0.900,bicubic,-52.591,-50.761,-34 -hardcorenas_c,25.815,74.185,44.772,55.228,5.52,224,0.875,bilinear,-51.239,-48.386,+32 -gluon_resnet50_v1c,25.784,74.216,43.031,56.969,25.58,224,0.875,bicubic,-52.228,-50.957,-13 -halonet26t,25.764,74.236,43.229,56.771,12.48,256,0.950,bicubic,-53.336,-51.083,-75 -selecsls60,25.729,74.272,44.065,55.935,30.67,224,0.875,bicubic,-52.254,-49.764,-13 -hardcorenas_e,25.662,74.338,43.412,56.588,8.07,224,0.875,bilinear,-52.132,-50.282,-2 -dla60_res2net,25.652,74.348,43.599,56.401,20.85,224,0.875,bilinear,-52.812,-50.607,-43 -dla60_res2next,25.640,74.360,43.670,56.330,17.03,224,0.875,bilinear,-52.800,-50.482,-42 -poolformer_s12,25.630,74.370,44.137,55.863,11.92,224,0.900,bicubic,-51.600,-49.367,+18 -ecaresnet26t,25.538,74.462,43.660,56.340,16.01,320,0.950,bicubic,-54.316,-51.424,-130 -resmlp_12_224,25.518,74.482,44.324,55.676,15.35,224,0.875,bicubic,-51.136,-48.856,+37 -convnext_femto.d1_in1k,25.516,74.484,43.683,56.317,5.22,288,0.950,bicubic,-53.188,-50.751,-60 -mixnet_l.ft_in1k,25.512,74.488,43.455,56.545,7.33,224,0.875,bicubic,-53.464,-50.727,-76 -tf_efficientnet_lite1.in1k,25.499,74.501,43.585,56.415,5.42,240,0.882,bicubic,-51.143,-49.641,+35 -eca_halonext26ts,25.479,74.521,43.194,56.806,10.76,256,0.940,bicubic,-54.007,-51.404,-115 -cs3darknet_focus_m,25.475,74.525,43.750,56.250,9.30,288,0.950,bicubic,-51.803,-50.220,+9 -bat_resnext26ts,25.463,74.537,43.210,56.790,10.73,256,0.900,bicubic,-52.779,-50.890,-39 -tv_resnext50_32x4d,25.455,74.545,42.787,57.213,25.03,224,0.875,bilinear,-52.165,-50.909,-9 -botnet26t_256,25.444,74.556,42.636,57.364,12.49,256,0.950,bicubic,-53.828,-51.892,-100 -repvgg_a2,25.436,74.564,43.939,56.061,28.21,224,0.875,bilinear,-51.024,-49.065,+36 -tf_mixnet_l.in1k,25.422,74.578,42.534,57.466,7.33,224,0.875,bicubic,-53.352,-51.464,-72 -hardcorenas_b,25.402,74.598,44.190,55.810,5.18,224,0.875,bilinear,-51.136,-48.564,+31 -res2next50,25.389,74.611,42.508,57.492,24.67,224,0.875,bilinear,-52.857,-51.384,-46 -convnext_femto_ols.d1_in1k,25.387,74.613,43.153,56.847,5.23,288,0.950,bicubic,-53.547,-51.379,-85 -legacy_seresnet101,25.334,74.666,42.825,57.175,49.33,224,0.875,bilinear,-53.048,-51.439,-54 -selecsls60b,25.332,74.668,43.559,56.441,32.77,224,0.875,bicubic,-53.080,-50.615,-57 -resnetv2_50x1_bitm,25.324,74.676,45.359,54.641,25.55,448,1.000,bilinear,-55.018,-50.325,-180 -dla102,25.316,74.684,43.827,56.173,33.27,224,0.875,bilinear,-52.716,-50.119,-39 -hardcorenas_d,25.300,74.700,43.121,56.879,7.50,224,0.875,bilinear,-52.132,-50.363,-10 -resnest14d,25.284,74.716,44.114,55.886,10.61,224,0.875,bilinear,-50.222,-48.404,+43 -legacy_seresnext50_32x4d,25.210,74.790,41.936,58.064,27.56,224,0.875,bilinear,-53.868,-52.500,-99 -mixer_b16_224,25.121,74.879,41.229,58.771,59.88,224,0.875,bicubic,-51.479,-50.999,+18 -res2net50_48w_2s,25.027,74.973,42.208,57.792,25.29,224,0.875,bilinear,-52.495,-51.346,-19 -efficientnet_b0.ra_in1k,25.015,74.985,42.787,57.213,5.29,224,0.875,bicubic,-52.683,-50.745,-29 -gluon_resnet34_v1b,24.939,75.061,42.243,57.757,21.80,224,0.875,bicubic,-49.649,-49.747,+60 -mobilenetv2_120d.ra_in1k,24.937,75.063,43.058,56.942,5.83,224,0.875,bicubic,-52.347,-50.434,-12 -dla60,24.933,75.067,43.296,56.704,22.04,224,0.875,bilinear,-52.099,-50.022,-2 -eca_botnext26ts_256,24.870,75.130,42.946,57.054,10.59,256,0.950,bicubic,-54.404,-51.668,-120 -regnety_016,24.811,75.189,42.616,57.384,11.20,224,0.875,bicubic,-53.051,-51.104,-40 -xcit_nano_12_p8_224_dist,24.803,75.197,43.076,56.924,3.05,224,1.000,bicubic,-51.521,-50.014,+17 -seresnext26ts,24.683,75.317,43.098,56.902,10.39,256,0.900,bicubic,-53.183,-50.692,-43 -eca_resnext26ts,24.660,75.340,42.842,57.158,10.30,256,0.900,bicubic,-52.792,-50.724,-25 -cs3darknet_m,24.630,75.370,42.966,57.034,9.31,288,0.950,bicubic,-53.006,-51.048,-36 -mobilevitv2_100,24.552,75.448,42.911,57.089,4.90,256,0.888,bicubic,-53.538,-51.253,-58 -tf_efficientnet_lite2.in1k,24.530,75.470,42.280,57.720,6.09,260,0.890,bicubic,-52.938,-51.474,-29 -skresnet18,24.483,75.517,42.536,57.464,11.96,224,0.875,bicubic,-48.555,-48.632,+66 -regnetx_016,24.473,75.527,42.514,57.486,9.19,224,0.875,bicubic,-52.477,-50.906,-9 -pit_ti_distilled_224,24.406,75.594,42.730,57.270,5.10,224,0.900,bicubic,-50.124,-49.366,+48 -tf_efficientnet_lite0.in1k,24.373,75.627,42.487,57.513,4.65,224,0.875,bicubic,-50.457,-49.689,+40 -hardcorenas_a,24.369,75.631,43.284,56.716,5.26,224,0.875,bilinear,-51.547,-49.230,+14 -tv_resnet50,24.070,75.930,41.313,58.687,25.56,224,0.875,bilinear,-52.068,-51.551,+9 -levit_128s,24.058,75.942,41.007,58.993,7.78,224,0.900,bicubic,-52.472,-51.859,+2 -legacy_seresnet34,24.027,75.973,41.909,58.091,21.96,224,0.875,bilinear,-50.781,-50.215,+37 -xcit_nano_12_p16_384_dist,24.011,75.989,42.324,57.676,3.05,384,1.000,bicubic,-51.447,-50.370,+21 -xcit_nano_12_p8_384_dist,23.950,76.050,41.940,58.060,3.05,384,1.000,bicubic,-53.870,-52.096,-53 -gcresnext26ts,23.944,76.056,41.353,58.647,10.48,256,0.900,bicubic,-53.870,-52.481,-53 -resnet18d,23.929,76.071,42.302,57.698,11.71,224,0.875,bicubic,-48.331,-48.394,+65 -efficientnet_lite0.ra_in1k,23.909,76.091,42.088,57.912,4.65,224,0.875,bicubic,-51.575,-50.422,+16 -resnext26ts,23.864,76.136,41.107,58.893,10.30,256,0.900,bicubic,-52.916,-52.023,-14 -tv_densenet121,23.844,76.156,41.925,58.075,7.98,224,0.875,bicubic,-50.894,-50.225,+31 -efficientnet_es_pruned.in1k,23.828,76.172,41.995,58.005,5.44,224,0.875,bicubic,-51.172,-50.453,+25 -mobilenetv2_140.ra_in1k,23.712,76.288,41.477,58.523,6.11,224,0.875,bicubic,-52.804,-51.519,-7 -mixnet_m.ft_in1k,23.710,76.290,41.141,58.859,5.01,224,0.875,bicubic,-53.550,-52.284,-37 -dla34,23.669,76.331,41.551,58.449,15.74,224,0.875,bilinear,-50.961,-50.527,+30 -legacy_seresnet50,23.651,76.349,40.091,59.909,28.09,224,0.875,bilinear,-53.978,-53.657,-57 -convnext_atto.d2_in1k,23.591,76.409,41.076,58.924,3.70,288,0.950,bicubic,-53.423,-52.624,-30 -ese_vovnet19b_dw,23.535,76.465,41.288,58.712,6.54,224,0.875,bicubic,-53.263,-51.980,-23 -tf_mixnet_m.in1k,23.484,76.516,40.989,59.011,5.01,224,0.875,bicubic,-53.458,-52.163,-28 -tv_resnet34,23.473,76.527,41.367,58.633,21.80,224,0.875,bilinear,-49.839,-50.059,+40 -tf_efficientnet_em.in1k,23.359,76.641,40.404,59.596,6.90,240,0.882,bicubic,-54.771,-53.640,-86 -selecsls42b,23.357,76.643,40.677,59.323,32.46,224,0.875,bicubic,-53.817,-52.713,-42 -repvgg_b0,23.316,76.684,41.182,58.818,15.82,224,0.875,bilinear,-51.837,-51.236,+8 -xcit_nano_12_p16_224_dist,23.253,76.747,41.376,58.624,3.05,224,1.000,bicubic,-49.049,-49.486,+48 -convnext_atto_ols.a2_in1k,23.131,76.869,40.873,59.127,3.70,288,0.950,bicubic,-54.085,-52.807,-46 -mobilenetv2_110d.ra_in1k,23.066,76.934,40.716,59.284,4.52,224,0.875,bicubic,-51.970,-51.470,+10 -vit_base_patch32_224.sam,23.048,76.952,39.572,60.428,88.22,224,0.900,bicubic,-50.642,-51.442,+29 -tinynet_b.in1k,23.015,76.985,40.975,59.025,3.73,188,0.875,bicubic,-51.959,-51.213,+10 -deit_tiny_distilled_patch16_224,22.718,77.282,40.771,59.229,5.91,224,0.900,bicubic,-51.792,-51.119,+19 -mobilenetv3_large_100.ra_in1k,22.655,77.345,40.781,59.219,5.48,224,0.875,bicubic,-53.111,-51.761,-13 -mobilenetv3_rw.rmsp_in1k,22.630,77.370,40.374,59.626,5.48,224,0.875,bicubic,-53.004,-52.334,-11 -edgenext_x_small,22.598,77.402,39.500,60.500,2.34,288,1.000,bicubic,-53.090,-53.266,-14 -tf_mobilenetv3_large_100.in1k,22.569,77.431,39.767,60.233,5.48,224,0.875,bilinear,-52.949,-52.839,-10 -mobilevit_s,22.468,77.531,38.635,61.365,5.58,256,0.900,bicubic,-55.843,-55.511,-109 -xcit_nano_12_p8_224,22.413,77.587,40.661,59.339,3.05,224,1.000,bicubic,-51.501,-51.511,+18 -tf_efficientnet_es.in1k,22.413,77.587,39.095,60.905,5.44,224,0.875,bicubic,-54.180,-54.107,-33 -hrnet_w18_small_v2,22.337,77.663,39.861,60.139,15.60,224,0.875,bilinear,-52.777,-52.555,-4 -convit_tiny,22.282,77.718,39.669,60.331,5.71,224,0.875,bicubic,-50.834,-52.045,+24 -regnety_008,22.119,77.881,38.900,61.100,6.26,224,0.875,bicubic,-54.197,-54.166,-29 -seresnext26t_32x4d,21.991,78.009,38.482,61.518,16.81,224,0.875,bicubic,-55.995,-55.264,-98 -regnety_006,21.971,78.029,38.955,61.045,6.06,224,0.875,bicubic,-53.275,-53.577,-11 -vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k,21.954,78.046,39.405,60.595,6.36,384,1.000,bicubic,-53.998,-53.855,-28 -regnetx_008,21.940,78.060,38.928,61.072,7.26,224,0.875,bicubic,-53.098,-53.408,-8 -resnet26d,21.907,78.094,38.619,61.381,16.01,224,0.875,bicubic,-54.789,-54.531,-46 -semnasnet_100.rmsp_in1k,21.903,78.097,38.600,61.400,3.89,224,0.875,bicubic,-53.545,-54.004,-17 -pit_ti_224,21.875,78.125,39.541,60.459,4.85,224,0.900,bicubic,-51.037,-51.861,+20 -pvt_v2_b0,21.838,78.162,40.142,59.858,3.67,224,0.900,bicubic,-48.818,-50.066,+38 -regnetx_006,21.738,78.263,38.904,61.096,6.20,224,0.875,bicubic,-52.115,-52.768,+7 -vit_tiny_patch16_384.augreg_in21k_ft_in1k,21.708,78.292,39.329,60.671,5.79,384,1.000,bicubic,-56.722,-55.213,-130 -crossvit_9_240,21.683,78.317,39.270,60.730,8.55,240,0.875,bicubic,-52.281,-52.698,+3 -vgg19_bn,21.628,78.373,39.283,60.717,143.68,224,0.875,bilinear,-52.587,-52.559,-2 -ghostnet_100,21.620,78.380,38.692,61.308,5.18,224,0.875,bilinear,-52.358,-52.764,0 -semnasnet_075.rmsp_in1k,21.572,78.428,38.928,61.072,2.91,224,0.875,bicubic,-51.402,-52.208,+11 -gluon_resnet18_v1b,21.549,78.451,38.869,61.131,11.69,224,0.875,bicubic,-49.287,-50.891,+30 -mobilevitv2_075,21.541,78.459,38.633,61.367,2.87,256,0.888,bicubic,-54.081,-54.135,-34 -fbnetc_100.rmsp_in1k,21.484,78.516,38.161,61.839,5.57,224,0.875,bilinear,-53.640,-54.224,-24 -xcit_nano_12_p16_224,21.437,78.563,39.796,60.204,3.05,224,1.000,bicubic,-48.517,-49.958,+32 -mnasnet_100.rmsp_in1k,21.350,78.650,37.719,62.281,4.38,224,0.875,bicubic,-53.308,-54.395,-15 -resnet26,21.295,78.705,38.018,61.982,16.00,224,0.875,bicubic,-53.997,-54.552,-30 -lcnet_100.ra2_in1k,21.293,78.707,38.837,61.163,2.95,224,0.875,bicubic,-50.821,-51.541,+16 -ssl_resnet18,21.278,78.722,39.113,60.887,11.69,224,0.875,bilinear,-51.332,-52.303,+6 -mixnet_s.ft_in1k,21.254,78.746,38.187,61.813,4.13,224,0.875,bicubic,-54.738,-54.609,-50 -seresnext26d_32x4d,21.252,78.748,37.311,62.689,16.81,224,0.875,bicubic,-56.350,-56.297,-102 -legacy_seresnext26_32x4d,21.093,78.907,37.633,62.367,16.79,224,0.875,bicubic,-56.011,-55.683,-81 -crossvit_tiny_240,21.050,78.950,38.055,61.945,7.01,240,0.875,bicubic,-52.274,-53.861,-6 -regnetx_004,20.898,79.102,37.566,62.434,5.16,224,0.875,bicubic,-51.498,-53.264,+2 -spnasnet_100.rmsp_in1k,20.863,79.137,37.896,62.104,4.42,224,0.875,bilinear,-53.221,-53.922,-17 -legacy_seresnet18,20.837,79.162,37.619,62.381,11.78,224,0.875,bicubic,-50.907,-52.715,+12 -mobilenetv2_100.ra_in1k,20.773,79.227,37.759,62.241,3.50,224,0.875,bicubic,-52.197,-53.257,-4 -tf_mixnet_s.in1k,20.470,79.530,36.607,63.393,4.13,224,0.875,bicubic,-55.180,-56.021,-51 -vit_tiny_patch16_224.augreg_in21k_ft_in1k,20.458,79.542,37.597,62.403,5.72,224,0.900,bicubic,-54.996,-55.251,-44 -regnety_004,20.415,79.585,37.002,62.998,4.34,224,0.875,bicubic,-53.619,-54.750,-21 -hrnet_w18_small,20.368,79.632,37.093,62.907,13.19,224,0.875,bilinear,-51.974,-53.585,-2 -tf_mobilenetv3_large_075.in1k,20.366,79.634,36.764,63.236,3.99,224,0.875,bilinear,-53.072,-54.586,-17 -resnet18,20.228,79.772,37.261,62.739,11.69,224,0.875,bilinear,-49.520,-51.817,+16 -mixer_l16_224,20.173,79.827,32.952,67.048,208.20,224,0.875,bicubic,-51.885,-54.716,+1 -deit_tiny_patch16_224,20.162,79.838,37.546,62.454,5.72,224,0.900,bicubic,-52.007,-53.572,-2 -tf_mobilenetv3_large_minimal_100.in1k,20.122,79.878,36.908,63.092,3.92,224,0.875,bilinear,-52.126,-53.722,-4 -vgg16_bn,19.959,80.041,36.301,63.699,138.37,224,0.875,bilinear,-53.391,-55.205,-21 -vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k,19.334,80.666,36.047,63.953,6.34,224,0.900,bicubic,-52.454,-54.781,-1 -tinynet_c.in1k,19.252,80.748,35.994,64.006,2.46,184,0.875,bicubic,-51.980,-53.754,+2 -edgenext_xx_small,18.876,81.124,35.155,64.845,1.33,288,1.000,bicubic,-52.990,-55.389,-4 -mobilevit_xs,18.295,81.705,33.214,66.787,2.32,256,0.900,bicubic,-56.349,-59.139,-39 -lcnet_075.ra2_in1k,18.167,81.833,34.410,65.590,2.36,224,0.875,bicubic,-50.651,-53.960,+10 -vgg19,17.929,82.071,33.054,66.946,143.67,224,0.875,bilinear,-54.439,-57.818,-16 -vgg13_bn,17.802,82.198,34.039,65.961,133.05,224,0.875,bilinear,-53.792,-56.343,-4 -vgg16,17.540,82.460,32.773,67.227,138.36,224,0.875,bilinear,-54.054,-57.603,-6 -regnety_002,17.450,82.550,32.431,67.569,3.16,224,0.875,bicubic,-52.802,-57.109,-1 -vgg11_bn,17.403,82.597,33.011,66.989,132.87,224,0.875,bilinear,-52.957,-56.791,-3 -mobilevitv2_050,17.300,82.700,33.003,66.997,1.37,256,0.888,bicubic,-52.840,-56.923,-2 -resnet10t,17.279,82.721,33.078,66.922,5.44,224,0.950,bilinear,-51.015,-55.000,+5 -regnetx_002,16.962,83.038,32.225,67.775,2.68,224,0.875,bicubic,-51.800,-56.331,+3 -mobilenetv3_small_100.lamb_in1k,16.807,83.193,32.524,67.476,2.54,224,0.875,bicubic,-50.845,-55.112,+6 -tinynet_d.in1k,16.674,83.326,32.457,67.543,2.34,152,0.875,bicubic,-50.288,-54.609,+6 -mobilenetv2_050.lamb_in1k,16.666,83.334,31.952,68.048,1.97,224,0.875,bicubic,-49.276,-54.130,+8 -mnasnet_small.lamb_in1k,16.634,83.366,31.921,68.079,2.03,224,0.875,bicubic,-49.572,-54.587,+5 -resnet14t,16.467,83.533,30.732,69.268,10.08,224,0.950,bilinear,-55.883,-59.608,-27 -dla60x_c,16.310,83.690,31.761,68.239,1.32,224,0.875,bilinear,-51.582,-56.665,0 -tf_mobilenetv3_small_100.in1k,16.227,83.772,31.223,68.777,2.54,224,0.875,bilinear,-51.694,-56.441,-2 -vgg13,16.100,83.900,30.985,69.015,133.05,224,0.875,bilinear,-53.826,-58.261,-10 -vgg11,15.728,84.272,30.453,69.547,132.86,224,0.875,bilinear,-53.296,-58.175,-9 -mobilenetv3_small_075.lamb_in1k,14.954,85.046,29.739,70.261,2.04,224,0.875,bicubic,-50.292,-55.697,+3 -tf_mobilenetv3_small_075.in1k,14.944,85.056,29.572,70.428,2.04,224,0.875,bilinear,-50.772,-56.558,+1 -dla46_c,14.657,85.343,29.380,70.620,1.30,224,0.875,bilinear,-50.209,-56.912,+2 -mobilevit_xxs,14.508,85.492,28.670,71.330,1.27,256,0.900,bicubic,-54.404,-60.268,-12 -dla46x_c,14.382,85.618,29.191,70.809,1.07,224,0.875,bilinear,-51.588,-57.789,-4 -lcnet_050.ra2_in1k,14.316,85.684,28.649,71.351,1.88,224,0.875,bicubic,-48.785,-55.731,0 -tf_mobilenetv3_small_minimal_100.in1k,13.964,86.036,27.988,72.012,2.04,224,0.875,bilinear,-48.942,-56.242,0 -tinynet_e.in1k,12.671,87.329,26.389,73.611,2.04,106,0.875,bicubic,-47.185,-55.373,0 -mobilenetv3_small_050.lamb_in1k,11.034,88.966,23.473,76.527,1.59,224,0.875,bicubic,-46.856,-56.721,0 +eva_giant_patch14_336.clip_ft_in1k,71.177,28.823,90.299,9.701,"1,013.01",336,1.000,bicubic,-18.289,-8.527,+6 +eva02_large_patch14_448.mim_m38m_ft_in22k_in1k,70.662,29.338,89.854,10.146,305.08,448,1.000,bicubic,-19.390,-9.194,-1 +eva02_large_patch14_448.mim_m38m_ft_in1k,70.544,29.456,89.843,10.157,305.08,448,1.000,bicubic,-19.026,-9.079,+2 +convnext_xxlarge.clip_laion2b_soup_ft_in1k,70.039,29.961,90.334,9.666,846.47,256,1.000,bicubic,-18.565,-8.374,+10 +eva_giant_patch14_224.clip_ft_in1k,70.021,29.979,89.768,10.232,"1,012.56",224,0.900,bicubic,-18.859,-8.912,+4 +eva_giant_patch14_336.m30m_ft_in22k_in1k,68.052,31.948,87.819,12.181,"1,013.01",336,1.000,bicubic,-21.514,-11.133,0 +eva02_large_patch14_448.mim_in22k_ft_in22k_in1k,67.533,32.467,87.504,12.496,305.08,448,1.000,bicubic,-22.433,-11.508,-5 +eva_giant_patch14_560.m30m_ft_in22k_in1k,67.486,32.514,87.473,12.527,"1,014.45",560,1.000,bicubic,-22.300,-11.519,-5 +vit_huge_patch14_clip_224.laion2b_ft_in1k,67.396,32.604,87.882,12.118,632.05,224,1.000,bicubic,-20.192,-10.337,+39 +eva02_large_patch14_448.mim_in22k_ft_in1k,66.985,33.015,87.443,12.557,305.08,448,1.000,bicubic,-22.639,-11.507,-6 +convnext_large_mlp.clip_laion2b_augreg_ft_in1k_384,66.435,33.565,87.349,12.651,200.13,384,1.000,bicubic,-21.413,-11.097,+31 +vit_large_patch14_clip_336.laion2b_ft_in1k,65.745,34.255,86.905,13.095,304.53,336,1.000,bicubic,-22.111,-11.463,+28 +convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_384,65.731,34.269,87.017,12.983,200.13,384,1.000,bicubic,-22.575,-11.565,+10 +vit_huge_patch14_clip_224.laion2b_ft_in12k_in1k,65.323,34.677,86.826,13.174,632.05,224,1.000,bicubic,-22.933,-11.726,+11 +vit_huge_patch14_clip_336.laion2b_ft_in12k_in1k,65.260,34.740,86.757,13.242,632.46,336,1.000,bicubic,-23.332,-11.905,+1 +convnext_large_mlp.clip_laion2b_augreg_ft_in1k,65.091,34.909,86.284,13.716,200.13,256,1.000,bicubic,-22.243,-11.934,+42 +convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320,64.920,35.080,86.651,13.349,200.13,320,1.000,bicubic,-23.038,-11.825,+19 +vit_large_patch14_clip_224.laion2b_ft_in1k,64.814,35.186,86.575,13.425,304.20,224,1.000,bicubic,-22.468,-11.671,+42 +regnety_1280.swag_ft_in1k,64.106,35.894,86.034,13.966,644.81,384,1.000,bicubic,-24.124,-12.652,+9 +vit_large_patch14_clip_336.openai_ft_in12k_in1k,64.071,35.929,85.914,14.086,304.53,336,1.000,bicubic,-24.197,-12.612,+4 +eva_large_patch14_336.in22k_ft_in1k,63.096,36.904,84.380,15.620,304.53,336,1.000,bicubic,-25.574,-14.342,-8 +vit_large_patch14_clip_224.openai_ft_in1k,62.630,37.370,85.113,14.887,304.20,224,1.000,bicubic,-25.222,-13.313,+19 +vit_large_patch14_clip_224.laion2b_ft_in12k_in1k,62.061,37.939,84.319,15.681,304.20,224,1.000,bicubic,-25.831,-14.091,+16 +vit_large_patch14_clip_336.laion2b_ft_in12k_in1k,61.612,38.388,83.647,16.353,304.53,336,1.000,bicubic,-26.566,-14.923,+8 +vit_large_patch14_clip_224.openai_ft_in12k_in1k,61.404,38.596,83.362,16.638,304.20,224,1.000,bicubic,-26.772,-15.182,+8 +eva_large_patch14_196.in22k_ft_in1k,61.117,38.883,82.778,17.222,304.14,196,1.000,bicubic,-26.817,-15.720,+11 +eva_large_patch14_336.in22k_ft_in22k_in1k,60.941,39.059,82.134,17.866,304.53,336,1.000,bicubic,-28.267,-16.720,-19 +convnext_base.clip_laion2b_augreg_ft_in12k_in1k_384,60.795,39.205,83.220,16.780,88.59,384,1.000,bicubic,-26.339,-15.002,+35 +convnext_base.clip_laion2b_augreg_ft_in1k,60.276,39.724,82.678,17.322,88.59,256,1.000,bicubic,-25.882,-15.002,+88 +regnety_1280.swag_lc_in1k,59.911,40.089,83.157,16.843,644.81,224,0.965,bicubic,-26.071,-14.692,+102 +eva_large_patch14_196.in22k_ft_in22k_in1k,59.879,40.121,81.139,18.861,304.14,196,1.000,bicubic,-28.697,-17.519,-14 +convnext_base.clip_laion2b_augreg_ft_in12k_in1k,59.836,40.164,82.810,17.190,88.59,256,1.000,bicubic,-26.534,-15.174,+72 +convnext_base.clip_laiona_augreg_ft_in1k_384,59.392,40.608,82.242,17.758,88.59,384,1.000,bicubic,-27.110,-15.726,+62 +eva02_base_patch14_448.mim_in22k_ft_in22k_in1k,58.504,41.496,80.796,19.204,87.12,448,1.000,bicubic,-30.188,-17.928,-23 +resnext101_32x32d.fb_wsl_ig1b_ft_in1k,58.376,41.624,80.398,19.602,468.53,224,0.875,bilinear,-26.722,-17.040,+159 +beitv2_large_patch16_224.in1k_ft_in22k_in1k,58.366,41.634,80.226,19.774,304.43,224,0.950,bicubic,-30.028,-18.372,-16 +eva02_base_patch14_448.mim_in22k_ft_in1k,58.038,41.962,80.770,19.230,87.12,448,1.000,bicubic,-30.212,-17.794,-11 +regnety_320.swag_ft_in1k,57.908,42.092,81.456,18.544,145.05,384,1.000,bicubic,-28.928,-16.906,+41 +convnextv2_huge.fcmae_ft_in22k_in1k_384,57.865,42.135,79.671,20.329,660.29,384,1.000,bicubic,-30.805,-19.067,-27 +convnextv2_huge.fcmae_ft_in22k_in1k_512,57.851,42.149,79.497,20.503,660.29,512,1.000,bicubic,-31.007,-19.251,-30 +resnext101_32x16d.fb_wsl_ig1b_ft_in1k,57.696,42.304,79.907,20.093,194.03,224,0.875,bilinear,-26.470,-17.291,+236 +resnext101_32x16d.fb_swsl_ig1b_ft_in1k,57.478,42.522,80.373,19.627,194.03,224,0.875,bilinear,-25.858,-16.473,+315 +beit_large_patch16_384.in22k_ft_in22k_in1k,56.879,43.121,79.221,20.779,305.00,384,1.000,bicubic,-31.523,-19.387,-24 +vit_base_patch16_clip_384.laion2b_ft_in1k,56.877,43.123,80.002,19.998,86.86,384,1.000,bicubic,-29.743,-18.006,+44 +beit_large_patch16_512.in22k_ft_in22k_in1k,56.757,43.243,78.911,21.089,305.67,512,1.000,bicubic,-31.839,-19.745,-30 +resnext101_32x8d.fb_swsl_ig1b_ft_in1k,56.438,43.562,78.931,21.069,88.79,224,0.875,bilinear,-27.864,-18.245,+217 +maxvit_rmlp_base_rw_384.sw_in12k_ft_in1k,56.323,43.677,77.302,22.698,116.14,384,1.000,bicubic,-31.505,-21.070,-4 +maxvit_xlarge_tf_384.in21k_ft_in1k,56.211,43.789,78.746,21.254,475.32,384,1.000,bicubic,-32.103,-19.798,-26 +maxvit_xlarge_tf_512.in21k_ft_in1k,56.157,43.843,78.632,21.368,475.77,512,1.000,bicubic,-32.380,-20.012,-31 +maxvit_base_tf_512.in21k_ft_in1k,56.081,43.919,78.606,21.394,119.88,512,1.000,bicubic,-32.137,-19.922,-20 +deit3_huge_patch14_224.fb_in22k_ft_in1k,55.767,44.233,77.626,22.374,632.13,224,1.000,bicubic,-31.420,-20.634,+11 +maxvit_base_tf_384.in21k_ft_in1k,55.649,44.351,78.074,21.926,119.65,384,1.000,bicubic,-32.273,-20.470,-14 +vit_base_patch16_clip_224.laion2b_ft_in1k,55.411,44.589,79.049,20.951,86.57,224,1.000,bicubic,-30.055,-18.525,+108 +regnety_320.swag_lc_in1k,55.356,44.644,79.711,20.289,145.05,224,0.965,bicubic,-29.190,-17.731,+178 +regnety_160.swag_ft_in1k,55.181,44.819,79.320,20.680,83.59,384,1.000,bicubic,-30.829,-18.734,+71 +maxvit_large_tf_512.in21k_ft_in1k,55.171,44.829,77.276,22.724,212.33,512,1.000,bicubic,-33.055,-21.322,-27 +maxvit_large_tf_384.in21k_ft_in1k,55.077,44.923,77.142,22.858,212.03,384,1.000,bicubic,-32.909,-21.426,-22 +beit_large_patch16_224.in22k_ft_in22k_in1k,54.965,45.035,77.608,22.392,304.43,224,0.900,bicubic,-32.513,-20.696,-8 +convnext_xlarge.fb_in22k_ft_in1k_384,54.961,45.039,76.824,23.176,350.20,384,1.000,bicubic,-32.791,-21.732,-15 +resnext101_32x8d.fb_wsl_ig1b_ft_in1k,54.908,45.092,77.541,22.459,88.79,224,0.875,bilinear,-27.790,-18.603,+353 +deit3_large_patch16_384.fb_in22k_ft_in1k,54.886,45.114,77.372,22.628,304.76,384,1.000,bicubic,-32.834,-21.140,-16 +maxxvitv2_rmlp_base_rw_384.sw_in12k_ft_in1k,54.747,45.253,76.848,23.152,116.09,384,1.000,bicubic,-32.717,-21.526,-10 +caformer_b36.sail_in22k_ft_in1k_384,54.442,45.558,76.832,23.168,98.75,384,1.000,bicubic,-33.616,-21.750,-29 +deit3_large_patch16_224.fb_in22k_ft_in1k,54.359,45.641,76.563,23.437,304.37,224,1.000,bicubic,-32.623,-21.673,+8 +beitv2_large_patch16_224.in1k_ft_in1k,54.161,45.839,75.562,24.438,304.43,224,0.950,bicubic,-33.251,-22.671,-9 +convnextv2_large.fcmae_ft_in22k_in1k_384,53.947,46.053,76.007,23.993,197.96,384,1.000,bicubic,-34.251,-22.521,-35 +maxvit_rmlp_base_rw_224.sw_in12k_ft_in1k,53.733,46.267,75.142,24.858,116.14,224,0.950,bicubic,-33.161,-22.872,+8 +resnext101_32x4d.fb_swsl_ig1b_ft_in1k,53.587,46.413,76.337,23.663,44.18,224,0.875,bilinear,-29.645,-20.421,+296 +vit_base_patch16_clip_384.laion2b_ft_in12k_in1k,53.491,46.509,75.659,24.341,86.86,384,1.000,bicubic,-33.717,-22.375,-8 +vit_base_patch16_clip_384.openai_ft_in1k,53.080,46.920,76.661,23.339,86.86,384,1.000,bicubic,-33.124,-21.213,+42 +regnety_160.swag_lc_in1k,53.049,46.951,78.088,21.912,83.59,224,0.965,bicubic,-30.733,-19.192,+242 +convnextv2_base.fcmae_ft_in22k_in1k_384,52.907,47.093,75.083,24.917,88.72,384,1.000,bicubic,-34.737,-23.333,-26 +convformer_b36.sail_in22k_ft_in1k_384,52.874,47.126,74.979,25.021,99.88,384,1.000,bicubic,-34.728,-23.455,-26 +convnext_large.fb_in22k_ft_in1k_384,52.774,47.226,74.700,25.300,197.77,384,1.000,bicubic,-34.698,-23.686,-23 +vit_large_patch16_384.augreg_in21k_ft_in1k,52.758,47.242,74.706,25.294,304.72,384,1.000,bicubic,-34.326,-23.596,-9 +caformer_b36.sail_in22k_ft_in1k,52.756,47.244,75.309,24.691,98.75,224,1.000,bicubic,-34.666,-23.017,-21 +convformer_b36.sail_in22k_ft_in1k,52.746,47.254,74.896,25.104,99.88,224,1.000,bicubic,-34.252,-23.276,-7 +coatnet_rmlp_2_rw_384.sw_in12k_ft_in1k,52.389,47.611,73.802,26.198,73.88,384,1.000,bicubic,-34.994,-24.510,-21 +swinv2_large_window12to24_192to384.ms_in22k_ft_in1k,52.304,47.696,74.415,25.585,196.74,384,1.000,bicubic,-35.160,-23.835,-26 +convnext_xlarge.fb_in22k_ft_in1k,52.216,47.784,73.955,26.045,350.20,288,1.000,bicubic,-35.114,-24.373,-21 +vit_large_r50_s32_384.augreg_in21k_ft_in1k,52.043,47.957,73.568,26.432,329.09,384,1.000,bicubic,-34.139,-24.354,+33 +vit_large_patch16_224.augreg_in21k_ft_in1k,51.821,48.179,73.688,26.312,304.33,224,0.900,bicubic,-34.013,-24.130,+55 +vit_base_patch16_clip_224.laion2b_ft_in12k_in1k,51.783,48.217,74.631,25.369,86.57,224,0.950,bicubic,-34.391,-23.125,+32 +convnext_base.fb_in22k_ft_in1k_384,51.565,48.435,74.543,25.457,88.59,384,1.000,bicubic,-35.231,-23.721,-2 +tf_efficientnet_l2.ns_jft_in1k_475,51.496,48.504,73.937,26.063,480.31,475,0.936,bicubic,-36.738,-24.609,-58 +maxxvitv2_rmlp_base_rw_224.sw_in12k_ft_in1k,51.190,48.810,73.126,26.874,116.09,224,0.950,bicubic,-35.452,-24.894,+1 +vit_base_patch16_clip_384.openai_ft_in12k_in1k,51.153,48.847,74.323,25.677,86.86,384,0.950,bicubic,-35.871,-23.858,-18 +caformer_m36.sail_in22k_ft_in1k_384,51.052,48.948,73.436,26.564,56.20,384,1.000,bicubic,-36.398,-24.872,-34 +swinv2_base_window12to24_192to384.ms_in22k_ft_in1k,50.976,49.024,73.295,26.705,87.92,384,1.000,bicubic,-36.120,-24.939,-24 +vit_base_patch16_clip_224.openai_ft_in1k,50.938,49.062,74.839,25.161,86.57,224,0.900,bicubic,-34.354,-22.599,+85 +resnext50_32x4d.fb_swsl_ig1b_ft_in1k,50.463,49.537,73.366,26.634,25.03,224,0.875,bilinear,-31.711,-22.856,+395 +swinv2_large_window12to16_192to256.ms_in22k_ft_in1k,50.433,49.567,72.735,27.265,196.74,256,0.900,bicubic,-36.519,-25.371,-19 +swin_large_patch4_window12_384.ms_in22k_ft_in1k,50.394,49.606,72.538,27.462,196.74,384,1.000,bicubic,-36.738,-25.696,-29 +convnextv2_large.fcmae_ft_in22k_in1k,50.158,49.842,72.399,27.601,197.96,288,1.000,bicubic,-37.326,-25.957,-45 +convnext_large.fb_in22k_ft_in1k,49.999,50.001,72.269,27.731,197.77,288,1.000,bicubic,-37.027,-25.935,-27 +tf_efficientnetv2_xl.in21k_ft_in1k,49.722,50.278,72.124,27.876,208.12,512,1.000,bicubic,-37.026,-25.890,-12 +caformer_m36.sail_in22k_ft_in1k,49.698,50.302,72.141,27.859,56.20,224,1.000,bicubic,-36.896,-25.883,-7 +vit_base_patch16_clip_224.openai_ft_in12k_in1k,49.696,50.304,72.874,27.126,86.57,224,0.950,bicubic,-36.244,-24.854,+35 +resnet50.fb_swsl_ig1b_ft_in1k,49.518,50.482,72.330,27.670,25.56,224,0.875,bilinear,-31.664,-23.662,+477 +beitv2_base_patch16_224.in1k_ft_in22k_in1k,49.516,50.484,72.391,27.609,86.53,224,0.900,bicubic,-36.958,-25.661,-1 +coatnet_rmlp_2_rw_224.sw_in12k_ft_in1k,49.394,50.606,70.846,29.154,73.88,224,0.950,bicubic,-37.110,-27.048,-7 +convnextv2_base.fcmae_ft_in22k_in1k,49.142,50.858,71.230,28.770,88.72,288,1.000,bicubic,-37.856,-26.939,-31 +convformer_m36.sail_in22k_ft_in1k_384,49.132,50.868,71.387,28.613,57.05,384,1.000,bicubic,-37.760,-26.729,-27 +convformer_m36.sail_in22k_ft_in1k,49.091,50.909,71.469,28.531,57.05,224,1.000,bicubic,-37.055,-26.381,+14 +vit_base_patch32_clip_224.laion2b_ft_in1k,49.062,50.938,72.584,27.416,88.22,224,0.900,bicubic,-33.520,-23.617,+328 +swin_large_patch4_window7_224.ms_in22k_ft_in1k,48.993,51.007,71.387,28.613,196.53,224,0.900,bicubic,-37.319,-26.515,0 +convnext_base.fb_in22k_ft_in1k,48.938,51.062,71.748,28.252,88.59,288,1.000,bicubic,-37.336,-26.344,+1 +swinv2_base_window12to16_192to256.ms_in22k_ft_in1k,48.781,51.219,71.410,28.590,87.92,256,0.900,bicubic,-37.487,-26.472,+1 +tf_efficientnetv2_l.in21k_ft_in1k,48.737,51.263,71.994,28.006,118.52,480,1.000,bicubic,-38.065,-26.142,-29 +coatnet_2_rw_224.sw_in12k_ft_in1k,48.678,51.322,70.121,29.879,73.87,224,0.950,bicubic,-37.889,-27.773,-18 +beit_base_patch16_384.in22k_ft_in22k_in1k,48.669,51.331,72.102,27.898,86.74,384,1.000,bicubic,-38.131,-26.034,-30 +swin_base_patch4_window12_384.ms_in22k_ft_in1k,48.545,51.455,71.819,28.181,87.90,384,1.000,bicubic,-37.893,-26.247,-11 +caformer_s36.sail_in22k_ft_in1k_384,48.480,51.520,71.514,28.485,39.30,384,1.000,bicubic,-38.376,-26.698,-36 +maxvit_base_tf_512.in1k,48.240,51.760,70.793,29.207,119.88,512,1.000,bicubic,-38.362,-27.125,-25 +vit_large_r50_s32_224.augreg_in21k_ft_in1k,48.189,51.811,70.870,29.130,328.99,224,0.900,bicubic,-36.233,-26.300,+139 +vit_base_patch32_clip_384.laion2b_ft_in12k_in1k,47.934,52.066,70.923,29.077,88.30,384,1.000,bicubic,-37.432,-26.733,+56 +tf_efficientnet_b7.ns_jft_in1k,47.798,52.202,69.638,30.362,66.35,600,0.949,bicubic,-39.042,-28.456,-39 +tf_efficientnet_b6.ns_jft_in1k,47.769,52.231,69.958,30.042,43.04,528,0.942,bicubic,-38.687,-27.926,-18 +vit_base_patch8_224.augreg_in21k_ft_in1k,47.733,52.267,70.931,29.069,86.58,224,0.900,bicubic,-38.065,-26.859,+21 +deit3_base_patch16_384.fb_in22k_ft_in1k,47.682,52.318,69.758,30.242,86.88,384,1.000,bicubic,-39.056,-28.356,-35 +tf_efficientnet_l2.ns_jft_in1k,47.572,52.428,70.021,29.979,480.31,800,0.960,bicubic,-40.780,-28.627,-100 +vit_base_patch32_clip_448.laion2b_ft_in12k_in1k,47.568,52.432,70.047,29.953,88.34,448,1.000,bicubic,-38.210,-27.591,+21 +vit_base_patch8_224.augreg2_in21k_ft_in1k,47.511,52.489,70.328,29.672,86.58,224,0.900,bicubic,-38.707,-27.504,-12 +tf_efficientnetv2_m.in21k_ft_in1k,47.458,52.542,70.931,29.069,54.14,480,1.000,bicubic,-38.542,-27.015,+3 +deit3_base_patch16_224.fb_in22k_ft_in1k,47.374,52.626,69.772,30.229,86.59,224,1.000,bicubic,-38.326,-27.974,+23 +convformer_s36.sail_in22k_ft_in1k_384,47.152,52.848,69.498,30.502,40.01,384,1.000,bicubic,-39.226,-28.486,-23 +maxvit_large_tf_512.in1k,47.022,52.978,69.506,30.494,212.33,512,1.000,bicubic,-39.504,-28.374,-34 +convnext_small.fb_in22k_ft_in1k_384,46.882,53.118,69.528,30.472,50.22,384,1.000,bicubic,-38.896,-28.362,+14 +convnextv2_huge.fcmae_ft_in1k,46.880,53.120,67.785,32.215,660.29,288,1.000,bicubic,-39.700,-30.187,-38 +convformer_s36.sail_in22k_ft_in1k,46.863,53.137,69.532,30.468,40.01,224,1.000,bicubic,-38.551,-28.036,+36 +caformer_s36.sail_in22k_ft_in1k,46.708,53.292,69.744,30.256,39.30,224,1.000,bicubic,-39.084,-28.080,+10 +beit_base_patch16_224.in22k_ft_in22k_in1k,46.254,53.746,69.885,30.115,86.53,224,0.900,bicubic,-38.958,-27.773,+52 +vit_base_patch32_clip_384.openai_ft_in12k_in1k,46.250,53.750,69.292,30.708,88.30,384,0.950,bicubic,-38.966,-28.114,+50 +maxvit_base_tf_384.in1k,46.234,53.766,68.529,31.471,119.65,384,1.000,bicubic,-40.068,-29.269,-27 +hrnet_w48_ssld.paddle_in1k,46.173,53.827,68.054,31.946,77.47,288,1.000,bilinear,-38.305,-29.180,+107 +beitv2_base_patch16_224.in1k_ft_in1k,46.002,53.998,67.859,32.141,86.53,224,0.900,bicubic,-39.592,-29.647,+17 +vit_base_patch16_384.augreg_in21k_ft_in1k,45.890,54.110,68.557,31.443,86.86,384,1.000,bicubic,-40.106,-29.445,-9 +seresnextaa101d_32x8d.sw_in12k_ft_in1k_288,45.863,54.137,68.608,31.392,93.59,320,1.000,bicubic,-40.861,-29.568,-52 +tf_efficientnet_b8.ap_in1k,45.778,54.222,67.907,32.093,87.41,672,0.954,bicubic,-39.586,-29.385,+34 +maxvit_large_tf_384.in1k,45.760,54.240,68.156,31.844,212.03,384,1.000,bicubic,-40.468,-29.534,-30 +vit_base_patch32_clip_224.laion2b_ft_in12k_in1k,45.758,54.242,68.881,31.119,88.22,224,0.900,bicubic,-37.538,-27.647,+221 +convnext_small.in12k_ft_in1k_384,45.721,54.279,67.818,32.182,50.22,384,1.000,bicubic,-40.461,-30.104,-29 +tf_efficientnet_b5.ns_jft_in1k,45.611,54.389,67.852,32.148,30.39,456,0.934,bicubic,-40.477,-29.902,-22 +swin_base_patch4_window7_224.ms_in22k_ft_in1k,45.532,54.468,68.504,31.496,87.77,224,0.900,bicubic,-39.740,-29.060,+33 +mvitv2_large.fb_in1k,45.277,54.723,65.183,34.817,217.99,224,0.900,bicubic,-39.967,-32.031,+35 +vit_base_patch16_224.augreg2_in21k_ft_in1k,45.114,54.886,67.394,32.606,86.57,224,0.900,bicubic,-39.982,-30.136,+49 +vit_base_patch32_clip_224.openai_ft_in1k,45.031,54.969,68.453,31.547,88.22,224,0.900,bicubic,-36.899,-27.513,+364 +seresnextaa101d_32x8d.sw_in12k_ft_in1k,44.801,55.199,67.370,32.630,93.59,288,1.000,bicubic,-41.683,-30.660,-50 +convnextv2_large.fcmae_ft_in1k,44.797,55.203,65.853,34.147,197.96,288,1.000,bicubic,-41.320,-31.969,-30 +volo_d5_512.sail_in1k,44.577,55.423,65.767,34.233,296.09,512,1.150,bicubic,-42.481,-32.203,-83 +convnextv2_tiny.fcmae_ft_in22k_in1k_384,44.322,55.678,66.655,33.345,28.64,384,1.000,bicubic,-40.784,-30.973,+41 +cait_m48_448.fb_dist_in1k,44.212,55.788,64.674,35.326,356.46,448,1.000,bicubic,-42.280,-33.078,-55 +deit3_large_patch16_384.fb_in1k,44.181,55.819,64.845,35.155,304.76,384,1.000,bicubic,-41.631,-32.753,-14 +volo_d5_448.sail_in1k,44.100,55.900,65.065,34.935,295.91,448,1.150,bicubic,-42.852,-32.873,-80 +eva02_small_patch14_336.mim_in22k_ft_in1k,43.966,56.034,65.934,34.066,22.13,336,1.000,bicubic,-41.750,-31.698,-8 +deit3_huge_patch14_224.fb_in1k,43.807,56.193,64.350,35.650,632.13,224,0.900,bicubic,-41.417,-33.010,+26 +convnext_small.fb_in22k_ft_in1k,43.620,56.380,66.464,33.536,50.22,288,1.000,bicubic,-41.642,-31.218,+21 +deit3_large_patch16_224.fb_in1k,43.514,56.486,63.574,36.426,304.37,224,0.900,bicubic,-41.262,-33.464,+62 +vit_base_r50_s16_384.orig_in21k_ft_in1k,43.507,56.493,66.783,33.217,98.95,384,1.000,bicubic,-41.469,-30.507,+46 +tf_efficientnet_b4.ns_jft_in1k,43.447,56.553,65.511,34.489,19.34,380,0.922,bicubic,-41.715,-31.959,+28 +deit3_medium_patch16_224.fb_in22k_ft_in1k,43.275,56.725,64.882,35.118,38.85,224,1.000,bicubic,-41.277,-32.306,+70 +volo_d5_224.sail_in1k,43.245,56.755,64.079,35.921,295.46,224,0.960,bicubic,-42.825,-33.497,-39 +vit_base_patch16_224.augreg_in21k_ft_in1k,43.221,56.779,65.722,34.279,86.57,224,0.900,bicubic,-41.310,-31.570,+71 +volo_d4_448.sail_in1k,43.133,56.867,64.108,35.892,193.41,448,1.150,bicubic,-43.659,-33.776,-81 +efficientnet_b5.sw_in12k_ft_in1k,42.872,57.128,65.413,34.587,30.39,448,1.000,bicubic,-43.020,-32.323,-31 +xcit_large_24_p8_384.fb_dist_in1k,42.838,57.162,63.418,36.582,188.93,384,1.000,bicubic,-43.158,-34.272,-37 +regnety_160.lion_in12k_ft_in1k,42.746,57.254,64.204,35.796,83.59,288,1.000,bicubic,-43.240,-33.632,-37 +regnety_160.sw_in12k_ft_in1k,42.687,57.313,64.346,35.654,83.59,288,1.000,bicubic,-43.299,-33.488,-37 +maxvit_small_tf_512.in1k,42.679,57.321,64.538,35.462,69.13,512,1.000,bicubic,-43.403,-33.225,-47 +convnext_small.in12k_ft_in1k,42.669,57.331,64.342,35.658,50.22,288,1.000,bicubic,-42.661,-33.204,+4 +xcit_large_24_p8_224.fb_dist_in1k,42.557,57.443,63.098,36.902,188.93,224,1.000,bicubic,-42.845,-34.304,-3 +tf_efficientnet_b8.ra_in1k,42.496,57.504,64.882,35.118,87.41,672,0.954,bicubic,-42.872,-32.512,-1 +caformer_b36.sail_in1k,42.465,57.535,62.849,37.151,98.75,224,1.000,bicubic,-43.041,-34.461,-14 +caformer_b36.sail_in1k_384,42.457,57.543,62.856,37.144,98.75,384,1.000,bicubic,-43.951,-34.958,-72 +maxvit_large_tf_224.in1k,42.414,57.586,63.399,36.601,211.79,224,0.950,bicubic,-42.528,-33.571,+32 +cait_m36_384.fb_dist_in1k,42.408,57.592,63.324,36.676,271.22,384,1.000,bicubic,-43.652,-34.406,-52 +volo_d4_224.sail_in1k,42.304,57.696,63.002,36.998,192.96,224,0.960,bicubic,-43.568,-34.470,-42 +caformer_s18.sail_in22k_ft_in1k_384,42.052,57.948,64.770,35.230,26.34,384,1.000,bicubic,-43.362,-32.932,-13 +deit3_small_patch16_384.fb_in22k_ft_in1k,41.952,58.048,64.554,35.446,22.21,384,1.000,bicubic,-42.872,-32.934,+37 +vit_medium_patch16_gap_384.sw_in12k_ft_in1k,41.895,58.105,63.701,36.299,39.03,384,0.950,bicubic,-43.637,-33.937,-22 +maxvit_tiny_tf_512.in1k,41.842,58.158,63.576,36.424,31.05,512,1.000,bicubic,-43.822,-34.008,-31 +caformer_s36.sail_in1k_384,41.738,58.262,62.760,37.240,39.30,384,1.000,bicubic,-44.002,-34.912,-36 +swin_small_patch4_window7_224.ms_in22k_ft_in1k,41.590,58.410,64.542,35.458,49.61,224,0.900,bicubic,-41.708,-32.422,+178 +convformer_s18.sail_in22k_ft_in1k_384,41.571,58.429,63.348,36.652,26.77,384,1.000,bicubic,-43.427,-34.222,+20 +regnety_2560.seer_ft_in1k,41.530,58.470,64.894,35.106,"1,282.60",384,1.000,bicubic,-43.622,-32.542,+4 +caformer_m36.sail_in1k_384,41.498,58.502,61.528,38.472,56.20,384,1.000,bicubic,-44.668,-36.292,-70 +coatnet_rmlp_1_rw2_224.sw_in12k_ft_in1k,41.486,58.514,61.485,38.515,41.72,224,0.950,bicubic,-43.424,-35.473,+24 +tf_efficientnet_b7.ra_in1k,41.439,58.561,63.027,36.973,66.35,600,0.949,bicubic,-43.493,-34.181,+20 +tf_efficientnet_b7.ap_in1k,41.429,58.571,62.876,37.124,66.35,600,0.949,bicubic,-43.693,-34.376,+2 +tf_efficientnet_b5.ap_in1k,41.414,58.586,62.082,37.918,30.39,456,0.934,bicubic,-42.844,-34.892,+77 +regnety_120.sw_in12k_ft_in1k,41.331,58.669,63.187,36.813,51.82,288,1.000,bicubic,-44.069,-34.395,-22 +dm_nfnet_f3.dm_in1k,41.323,58.677,62.110,37.890,254.92,416,0.940,bicubic,-44.363,-35.460,-43 +resnetv2_152x4_bit.goog_in21k_ft_in1k,41.308,58.692,64.312,35.688,936.53,480,1.000,bilinear,-43.608,-33.126,+16 +dm_nfnet_f5.dm_in1k,41.290,58.710,62.011,37.989,377.21,544,0.954,bicubic,-44.808,-35.677,-74 +caformer_s18.sail_in22k_ft_in1k,41.213,58.787,63.837,36.163,26.34,224,1.000,bicubic,-42.863,-33.361,+88 +dm_nfnet_f6.dm_in1k,41.166,58.834,62.843,37.157,438.36,576,0.956,bicubic,-45.196,-35.053,-91 +convnext_tiny.in12k_ft_in1k_384,41.113,58.887,62.825,37.175,28.59,384,1.000,bicubic,-44.009,-34.781,-7 +tf_efficientnet_b6.ap_in1k,41.089,58.911,62.359,37.641,43.04,528,0.942,bicubic,-43.697,-34.777,+21 +xcit_large_24_p16_384.fb_dist_in1k,41.036,58.964,61.237,38.763,189.10,384,1.000,bicubic,-44.718,-36.301,-55 +xcit_large_24_p16_224.fb_dist_in1k,40.942,59.058,61.324,38.676,189.10,224,1.000,bicubic,-43.974,-35.806,+10 +tf_efficientnetv2_l.in1k,40.930,59.070,62.011,37.989,118.52,480,1.000,bicubic,-44.734,-35.463,-50 +tf_efficientnetv2_s.in21k_ft_in1k,40.924,59.076,63.849,36.151,21.46,384,1.000,bicubic,-43.364,-33.403,+62 +maxvit_small_tf_384.in1k,40.846,59.154,61.972,38.028,69.02,384,1.000,bicubic,-44.694,-35.490,-47 +edgenext_base.in21k_ft_in1k,40.836,59.164,61.774,38.226,18.51,320,1.000,bicubic,-43.218,-35.422,+83 +maxvit_base_tf_224.in1k,40.787,59.213,61.202,38.798,119.47,224,0.950,bicubic,-44.073,-35.786,+9 +xcit_medium_24_p8_224.fb_dist_in1k,40.498,59.502,60.502,39.498,84.32,224,1.000,bicubic,-44.576,-36.772,-8 +vit_small_r26_s32_384.augreg_in21k_ft_in1k,40.474,59.526,62.735,37.265,36.47,384,1.000,bicubic,-43.574,-34.593,+82 +tf_efficientnet_b4.ap_in1k,40.472,59.528,61.717,38.283,19.34,380,0.922,bicubic,-42.778,-34.677,+155 +deit3_base_patch16_224.fb_in1k,40.374,59.626,60.168,39.832,86.59,224,0.900,bicubic,-43.412,-36.420,+103 +convformer_s18.sail_in22k_ft_in1k,40.301,59.699,61.719,38.281,26.77,224,1.000,bicubic,-43.437,-35.329,+110 +vit_medium_patch16_gap_256.sw_in12k_ft_in1k,40.276,59.724,61.668,38.332,38.86,256,0.950,bicubic,-44.170,-35.176,+35 +flexivit_large.600ep_in1k,40.272,59.728,60.367,39.633,304.36,240,0.950,bicubic,-45.266,-37.121,-55 +vit_base_patch16_224_miil.in21k_ft_in1k,40.162,59.838,60.889,39.111,86.54,224,0.875,bilinear,-44.104,-35.915,+53 +deit3_small_patch16_224.fb_in22k_ft_in1k,40.152,59.848,61.860,38.140,22.06,224,1.000,bicubic,-42.922,-34.916,+167 +regnetz_e8.ra3_in1k,40.136,59.864,61.316,38.684,57.70,320,1.000,bicubic,-44.900,-35.956,-14 +maxvit_rmlp_small_rw_224.sw_in1k,40.109,59.891,59.516,40.484,64.90,224,0.900,bicubic,-44.383,-37.494,+25 +flexivit_large.1200ep_in1k,40.097,59.903,60.646,39.354,304.36,240,0.950,bicubic,-45.549,-36.896,-65 +xcit_medium_24_p8_384.fb_dist_in1k,40.050,59.950,60.451,39.549,84.32,384,1.000,bicubic,-45.766,-37.141,-80 +flexivit_large.300ep_in1k,39.993,60.007,59.986,40.014,304.36,240,0.950,bicubic,-45.297,-37.415,-43 +maxvit_tiny_tf_384.in1k,39.971,60.029,60.909,39.091,30.98,384,1.000,bicubic,-45.129,-36.469,-27 +convnextv2_tiny.fcmae_ft_in22k_in1k,39.938,60.062,61.835,38.165,28.64,288,1.000,bicubic,-44.478,-35.425,+34 +dm_nfnet_f4.dm_in1k,39.924,60.076,60.447,39.553,316.07,512,0.951,bicubic,-45.912,-37.217,-86 +xcit_medium_24_p16_384.fb_dist_in1k,39.897,60.103,60.097,39.903,84.40,384,1.000,bicubic,-45.525,-37.309,-59 +convnext_tiny.fb_in22k_ft_in1k_384,39.787,60.213,61.536,38.464,28.59,384,1.000,bicubic,-44.301,-35.608,+58 +cait_s36_384.fb_dist_in1k,39.767,60.233,60.469,39.531,68.37,384,1.000,bicubic,-45.687,-37.009,-63 +convnextv2_base.fcmae_ft_in1k,39.755,60.245,59.875,40.125,88.72,288,1.000,bicubic,-45.719,-37.509,-66 +volo_d3_448.sail_in1k,39.702,60.298,59.760,40.240,86.63,448,1.000,bicubic,-46.798,-37.950,-131 +efficientnetv2_rw_m.agc_in1k,39.681,60.319,59.679,40.321,53.24,416,1.000,bicubic,-45.131,-37.471,-10 +xception65.ra3_in1k,39.621,60.379,60.919,39.081,39.92,299,0.940,bicubic,-43.561,-35.673,+138 +ecaresnet269d.ra2_in1k,39.604,60.396,60.345,39.655,102.09,352,1.000,bicubic,-45.362,-36.877,-24 +tf_efficientnet_b3.ns_jft_in1k,39.588,60.412,61.475,38.525,12.23,300,0.904,bicubic,-44.468,-35.443,+55 +caformer_m36.sail_in1k,39.572,60.428,58.691,41.309,56.20,224,1.000,bicubic,-45.660,-38.510,-51 +convformer_b36.sail_in1k,39.525,60.475,58.081,41.919,99.88,224,1.000,bicubic,-45.293,-38.865,-16 +caformer_s36.sail_in1k,39.519,60.481,59.760,40.240,39.30,224,1.000,bicubic,-44.989,-37.236,+4 +volo_d3_224.sail_in1k,39.482,60.518,59.860,40.140,86.33,224,0.960,bicubic,-45.932,-37.416,-68 +convnext_large.fb_in1k,39.460,60.540,59.188,40.812,197.77,288,1.000,bicubic,-45.386,-38.026,-21 +deit3_base_patch16_384.fb_in1k,39.411,60.589,58.928,41.072,86.88,384,1.000,bicubic,-45.661,-38.324,-38 +xcit_small_24_p8_224.fb_dist_in1k,39.327,60.673,59.402,40.598,47.63,224,1.000,bicubic,-45.541,-37.788,-25 +xcit_medium_24_p16_224.fb_dist_in1k,39.272,60.728,59.463,40.537,84.40,224,1.000,bicubic,-45.014,-37.469,+26 +convformer_m36.sail_in1k,39.236,60.764,57.629,42.371,57.05,224,1.000,bicubic,-45.258,-39.237,-1 +coat_lite_medium_384.in1k,39.175,60.825,59.280,40.720,44.57,384,1.000,bicubic,-45.703,-38.092,-29 +efficientnet_b4.ra2_in1k,39.091,60.909,59.618,40.382,19.34,384,1.000,bicubic,-44.323,-36.980,+105 +hrnet_w18_ssld.paddle_in1k,39.067,60.933,60.650,39.350,21.30,288,1.000,bilinear,-42.979,-35.600,+255 +tresnet_v2_l.miil_in21k_ft_in1k,39.016,60.984,59.480,40.520,46.17,224,0.875,bilinear,-44.884,-37.014,+55 +xcit_small_24_p8_384.fb_dist_in1k,39.010,60.990,59.166,40.834,47.63,384,1.000,bicubic,-46.544,-38.404,-90 +resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k_384,38.975,61.025,62.434,37.566,236.34,384,1.000,bicubic,-44.859,-34.692,+60 +convformer_b36.sail_in1k_384,38.930,61.070,58.413,41.587,99.88,384,1.000,bicubic,-46.812,-39.111,-102 +convnext_tiny.in12k_ft_in1k,38.912,61.088,59.862,40.138,28.59,288,1.000,bicubic,-45.538,-37.478,-4 +maxvit_small_tf_224.in1k,38.871,61.129,59.160,40.840,68.93,224,0.950,bicubic,-45.555,-37.664,+4 +coatnet_rmlp_2_rw_224.sw_in1k,38.869,61.131,58.018,41.982,73.88,224,0.950,bicubic,-45.737,-38.722,-22 +vit_base_patch32_384.augreg_in21k_ft_in1k,38.796,61.204,60.327,39.673,88.30,384,1.000,bicubic,-44.554,-36.511,+105 +tf_efficientnetv2_m.in1k,38.714,61.286,59.793,40.207,54.14,480,1.000,bicubic,-46.490,-37.571,-67 +eca_nfnet_l2.ra3_in1k,38.655,61.345,59.443,40.557,56.72,384,1.000,bicubic,-46.047,-37.739,-30 +davit_small.msft_in1k,38.631,61.369,58.203,41.797,49.75,224,0.950,bicubic,-45.621,-38.737,+14 +mvitv2_small.fb_in1k,38.578,61.422,58.130,41.870,34.87,224,0.900,bicubic,-45.192,-38.446,+59 +xcit_small_12_p8_384.fb_dist_in1k,38.547,61.453,58.795,41.205,26.21,384,1.000,bicubic,-46.531,-38.487,-59 +convformer_m36.sail_in1k_384,38.531,61.469,57.736,42.264,57.05,384,1.000,bicubic,-47.049,-39.806,-103 +xcit_small_24_p16_384.fb_dist_in1k,38.499,61.501,58.396,41.604,47.67,384,1.000,bicubic,-46.591,-38.916,-62 +davit_base.msft_in1k,38.490,61.510,57.535,42.465,87.95,224,0.950,bicubic,-46.152,-39.485,-33 +mvitv2_base.fb_in1k,38.458,61.542,57.934,42.066,51.47,224,0.900,bicubic,-45.992,-38.924,-15 +rexnetr_300.sw_in12k_ft_in1k,38.431,61.569,60.610,39.390,34.81,288,1.000,bicubic,-46.113,-36.646,-28 +convformer_s36.sail_in1k,38.405,61.595,57.710,42.290,40.01,224,1.000,bicubic,-45.655,-39.036,+23 +xcit_small_12_p8_224.fb_dist_in1k,38.360,61.640,58.824,41.176,26.21,224,1.000,bicubic,-45.876,-38.048,+8 +tf_efficientnet_b5.ra_in1k,38.331,61.669,59.928,40.072,30.39,456,0.934,bicubic,-45.480,-36.826,+45 +deit_base_distilled_patch16_384.fb_in1k,38.246,61.754,57.783,42.217,87.63,384,1.000,bicubic,-47.180,-39.547,-102 +xcit_large_24_p8_224.fb_in1k,38.106,61.894,57.873,42.127,188.93,224,1.000,bicubic,-46.288,-38.791,-6 +vit_base_patch16_384.orig_in21k_ft_in1k,38.105,61.895,60.418,39.582,86.86,384,1.000,bicubic,-46.096,-36.802,+7 +resnetv2_152x2_bit.goog_in21k_ft_in1k,38.000,62.000,61.137,38.863,236.34,448,1.000,bilinear,-46.510,-35.855,-32 +pvt_v2_b4.in1k,37.949,62.051,58.217,41.783,62.56,224,0.900,bicubic,-45.761,-38.457,+54 +coat_lite_medium.in1k,37.880,62.120,57.796,42.204,44.57,224,0.900,bicubic,-45.719,-38.932,+63 +cait_s24_384.fb_dist_in1k,37.879,62.121,58.069,41.931,47.06,384,1.000,bicubic,-47.169,-39.277,-71 +convnextv2_nano.fcmae_ft_in22k_in1k_384,37.875,62.125,59.443,40.557,15.62,384,1.000,bicubic,-45.499,-37.301,+82 +resnet152d.ra2_in1k,37.851,62.149,58.362,41.638,60.21,320,1.000,bicubic,-45.833,-38.378,+55 +convformer_s36.sail_in1k_384,37.812,62.188,57.488,42.512,40.01,384,1.000,bicubic,-47.566,-39.988,-104 +resnetrs420.tf_in1k,37.745,62.255,58.207,41.793,191.89,416,1.000,bicubic,-47.261,-38.917,-72 +deit3_medium_patch16_224.fb_in1k,37.709,62.291,57.085,42.915,38.85,224,0.900,bicubic,-45.377,-39.211,+104 +xcit_small_24_p16_224.fb_dist_in1k,37.702,62.298,57.372,42.628,47.67,224,1.000,bicubic,-46.172,-39.364,+24 +resnetrs350.tf_in1k,37.666,62.334,58.097,41.903,163.96,384,1.000,bicubic,-47.048,-38.895,-57 +caformer_s18.sail_in1k_384,37.664,62.336,57.612,42.388,26.34,384,1.000,bicubic,-47.362,-39.746,-77 +regnety_640.seer_ft_in1k,37.584,62.416,59.868,40.132,281.38,384,1.000,bicubic,-46.324,-37.054,+17 +xcit_small_12_p16_384.fb_dist_in1k,37.582,62.418,57.761,42.239,26.25,384,1.000,bicubic,-47.130,-39.357,-59 +pvt_v2_b5.in1k,37.544,62.456,57.303,42.697,81.96,224,0.900,bicubic,-46.198,-39.331,+37 +resnet200d.ra2_in1k,37.503,62.497,58.301,41.699,64.69,320,1.000,bicubic,-46.461,-38.523,+10 +maxvit_rmlp_tiny_rw_256.sw_in1k,37.381,62.619,57.193,42.807,29.15,256,0.950,bicubic,-46.843,-39.675,-11 +resnetv2_152x2_bit.goog_teacher_in21k_ft_in1k,37.344,62.656,59.402,40.598,236.34,224,0.875,bicubic,-45.532,-37.180,+112 +regnety_1280.seer_ft_in1k,37.330,62.670,59.133,40.867,644.81,384,1.000,bicubic,-47.102,-37.959,-36 +resnest269e.in1k,37.311,62.689,57.490,42.510,110.93,416,0.928,bicubic,-47.199,-39.944,-50 +convnext_base.fb_in1k,37.307,62.693,57.319,42.681,88.59,288,1.000,bicubic,-47.121,-39.649,-37 +resmlp_big_24_224.fb_in22k_ft_in1k,37.242,62.758,58.191,41.809,129.14,224,0.875,bicubic,-47.156,-38.921,-30 +vit_small_r26_s32_224.augreg_in21k_ft_in1k,37.230,62.770,59.072,40.928,36.43,224,0.900,bicubic,-44.634,-36.950,+224 +pit_b_distilled_224.in1k,37.197,62.803,56.507,43.493,74.79,224,0.900,bicubic,-46.569,-39.959,+24 +cait_s24_224.fb_dist_in1k,37.153,62.847,56.724,43.276,46.92,224,1.000,bicubic,-46.289,-39.850,+52 +dm_nfnet_f2.dm_in1k,37.128,62.872,56.983,43.017,193.78,352,0.920,bicubic,-48.066,-40.363,-106 +resnetaa101d.sw_in12k_ft_in1k,37.116,62.884,57.851,42.149,44.57,288,1.000,bicubic,-47.008,-39.255,-14 +efficientformer_l7.snap_dist_in1k,37.112,62.888,56.900,43.100,82.23,224,0.950,bicubic,-46.270,-39.636,+58 +pvt_v2_b3.in1k,37.110,62.890,57.340,42.660,45.24,224,0.900,bicubic,-46.010,-39.214,+81 +vit_base_patch32_224.augreg_in21k_ft_in1k,37.073,62.927,59.307,40.693,88.22,224,0.900,bicubic,-43.643,-36.259,+327 +volo_d1_384.sail_in1k,37.069,62.931,57.138,42.862,26.78,384,1.000,bicubic,-48.175,-40.056,-119 +tf_efficientnet_b3.ap_in1k,37.053,62.947,57.236,42.764,12.23,300,0.904,bicubic,-44.773,-38.390,+216 +efficientnetv2_rw_s.ra2_in1k,37.053,62.947,56.816,43.184,23.94,384,1.000,bicubic,-46.755,-39.916,+11 +maxvit_tiny_tf_224.in1k,37.020,62.980,56.904,43.096,30.92,224,0.950,bicubic,-46.382,-39.686,+47 +swinv2_base_window16_256.ms_in1k,36.990,63.010,56.140,43.860,87.92,256,0.900,bicubic,-47.610,-40.950,-73 +xcit_small_12_p16_224.fb_dist_in1k,36.975,63.025,56.725,43.275,26.25,224,1.000,bicubic,-46.353,-39.691,+57 +regnetz_040_h.ra3_in1k,36.973,63.027,57.276,42.724,28.94,320,1.000,bicubic,-47.519,-39.482,-64 +volo_d1_224.sail_in1k,36.884,63.116,56.633,43.367,26.63,224,0.960,bicubic,-47.278,-40.143,-27 +seresnet152d.ra2_in1k,36.784,63.216,56.727,43.273,66.84,320,1.000,bicubic,-47.576,-40.313,-45 +efficientformerv2_l.snap_dist_in1k,36.762,63.238,56.635,43.365,26.32,224,0.950,bicubic,-46.870,-39.925,+24 +maxxvit_rmlp_small_rw_256.sw_in1k,36.707,63.293,56.012,43.988,66.01,256,0.950,bicubic,-47.917,-41.056,-81 +seresnext101d_32x8d.ah_in1k,36.633,63.367,56.325,43.675,93.59,288,1.000,bicubic,-47.725,-40.596,-47 +volo_d2_224.sail_in1k,36.627,63.373,56.466,43.534,58.68,224,0.960,bicubic,-48.575,-40.724,-124 +caformer_s18.sail_in1k,36.576,63.424,55.827,44.173,26.34,224,1.000,bicubic,-47.080,-40.689,+19 +xception65p.ra3_in1k,36.564,63.436,56.435,43.565,39.82,299,0.940,bicubic,-46.572,-39.673,+60 +seresnextaa101d_32x8d.ah_in1k,36.532,63.468,56.409,43.591,93.59,288,1.000,bicubic,-48.034,-40.667,-83 +focalnet_base_srf.ms_in1k,36.460,63.540,56.217,43.783,88.15,224,0.900,bicubic,-47.358,-40.465,-6 +regnetz_d32.ra3_in1k,36.448,63.552,57.368,42.632,27.58,320,0.950,bicubic,-47.574,-39.500,-25 +cait_xs24_384.fb_dist_in1k,36.416,63.584,56.944,43.056,26.67,384,1.000,bicubic,-47.645,-39.941,-32 +efficientnet_b3.ra2_in1k,36.409,63.591,56.836,43.164,12.23,320,1.000,bicubic,-45.833,-39.282,+158 +deit_base_distilled_patch16_224.fb_in1k,36.407,63.593,56.613,43.387,87.34,224,0.900,bicubic,-46.979,-39.875,+33 +volo_d2_384.sail_in1k,36.407,63.593,56.323,43.677,58.87,384,1.000,bicubic,-49.635,-41.251,-194 +resnetv2_101x3_bit.goog_in21k_ft_in1k,36.383,63.617,59.068,40.932,387.93,448,1.000,bilinear,-48.055,-38.314,-71 +gcvit_base.in1k,36.381,63.619,55.880,44.120,90.32,224,0.875,bicubic,-48.065,-41.328,-74 +dm_nfnet_f1.dm_in1k,36.326,63.674,55.747,44.253,132.63,320,0.910,bicubic,-48.376,-41.519,-98 +resnetrs270.tf_in1k,36.308,63.692,56.564,43.436,129.86,352,1.000,bicubic,-48.120,-40.404,-71 +tresnet_m.miil_in21k_ft_in1k,36.281,63.719,55.784,44.216,31.39,224,0.875,bilinear,-46.793,-40.330,+58 +mixer_b16_224.miil_in21k_ft_in1k,36.267,63.733,55.965,44.035,59.88,224,0.875,bilinear,-46.039,-39.755,+144 +convnext_small.fb_in1k,36.248,63.752,55.912,44.088,50.22,288,1.000,bicubic,-47.453,-40.896,-1 +convformer_s18.sail_in1k_384,36.204,63.796,56.059,43.941,26.77,384,1.000,bicubic,-48.198,-41.053,-69 +deit3_small_patch16_384.fb_in1k,36.191,63.809,55.558,44.442,22.21,384,1.000,bicubic,-47.240,-41.116,+17 +tf_efficientnet_b2.ns_jft_in1k,36.167,63.833,57.559,42.441,9.11,260,0.890,bicubic,-46.211,-38.695,+126 +mvitv2_tiny.fb_in1k,36.167,63.833,55.132,44.868,24.17,224,0.900,bicubic,-46.243,-41.020,+122 +focalnet_base_lrf.ms_in1k,36.118,63.882,55.810,44.190,88.75,224,0.900,bicubic,-47.720,-40.798,-26 +regnety_320.seer_ft_in1k,36.067,63.933,58.480,41.520,145.05,384,1.000,bicubic,-47.267,-38.226,+26 +regnetz_040.ra3_in1k,36.053,63.947,55.735,44.265,27.12,320,1.000,bicubic,-48.187,-41.197,-63 +resnest200e.in1k,35.929,64.071,55.853,44.147,70.20,320,0.909,bicubic,-47.917,-41.031,-31 +resnet18.fb_swsl_ig1b_ft_in1k,35.866,64.134,58.461,41.539,11.69,224,0.875,bilinear,-37.416,-33.271,+615 +sequencer2d_l.in1k,35.831,64.169,55.715,44.285,54.30,224,0.875,bicubic,-47.563,-40.781,+14 +eca_nfnet_l1.ra2_in1k,35.815,64.185,55.955,44.045,41.41,320,1.000,bicubic,-48.195,-41.071,-45 +gcvit_small.in1k,35.760,64.240,54.794,45.206,51.09,224,0.875,bicubic,-48.132,-41.864,-38 +vit_base_patch16_224.orig_in21k_ft_in1k,35.758,64.242,57.401,42.599,86.57,224,0.900,bicubic,-46.028,-38.723,+181 +vit_relpos_medium_patch16_cls_224.sw_in1k,35.725,64.275,54.919,45.081,38.76,224,0.900,bicubic,-46.847,-41.148,+96 +xcit_small_24_p8_224.fb_in1k,35.554,64.446,54.780,45.220,47.63,224,1.000,bicubic,-48.280,-41.852,-34 +xcit_large_24_p16_224.fb_in1k,35.528,64.472,54.743,45.257,189.10,224,1.000,bicubic,-47.372,-41.143,+53 +coat_small.in1k,35.520,64.480,55.157,44.843,21.69,224,0.900,bicubic,-46.842,-41.051,+114 +xcit_small_12_p8_224.fb_in1k,35.519,64.481,55.507,44.493,26.21,224,1.000,bicubic,-47.813,-40.977,+15 +flexivit_base.1200ep_in1k,35.517,64.484,53.843,46.157,86.59,240,0.950,bicubic,-49.161,-43.153,-120 +vit_small_patch16_384.augreg_in21k_ft_in1k,35.467,64.533,57.535,42.465,22.20,384,1.000,bicubic,-48.335,-39.563,-35 +regnetz_d8_evos.ch_in1k,35.458,64.542,55.749,44.251,23.46,320,1.000,bicubic,-48.668,-41.263,-68 +xcit_medium_24_p8_224.fb_in1k,35.452,64.548,54.823,45.177,84.32,224,1.000,bicubic,-48.296,-41.577,-31 +swinv2_base_window8_256.ms_in1k,35.450,64.550,54.607,45.393,87.92,256,0.900,bicubic,-48.800,-42.317,-80 +swinv2_small_window16_256.ms_in1k,35.428,64.572,54.623,45.377,49.73,256,0.900,bicubic,-48.796,-42.155,-78 +dm_nfnet_f0.dm_in1k,35.407,64.594,55.527,44.473,71.49,256,0.900,bicubic,-48.080,-41.041,-10 +resnest101e.in1k,35.377,64.623,55.784,44.216,48.28,256,0.875,bilinear,-47.507,-40.538,+44 +resnet152.a1h_in1k,35.357,64.643,54.627,45.373,60.19,288,1.000,bicubic,-48.093,-41.911,-10 +tf_efficientnet_b5.aa_in1k,35.320,64.680,56.036,43.964,30.39,456,0.934,bicubic,-48.368,-40.676,-27 +convit_base.fb_in1k,35.302,64.698,54.939,45.061,86.54,224,0.875,bicubic,-46.988,-40.997,+115 +focalnet_small_lrf.ms_in1k,35.275,64.725,54.888,45.112,50.34,224,0.900,bicubic,-48.219,-41.692,-16 +efficientformer_l3.snap_dist_in1k,35.245,64.755,54.507,45.493,31.41,224,0.950,bicubic,-47.305,-41.741,+83 +xcit_tiny_24_p8_224.fb_dist_in1k,35.241,64.759,55.267,44.733,12.11,224,1.000,bicubic,-47.325,-40.791,+80 +edgenext_base.usi_in1k,35.216,64.784,55.126,44.874,18.51,320,1.000,bicubic,-48.742,-41.644,-65 +convformer_s18.sail_in1k,35.208,64.792,54.629,45.371,26.77,224,1.000,bicubic,-47.778,-41.621,+30 +flexivit_base.600ep_in1k,35.137,64.863,53.650,46.350,86.59,240,0.950,bicubic,-49.385,-43.286,-126 +twins_svt_large.in1k,35.082,64.918,54.717,45.283,99.27,224,0.900,bicubic,-48.596,-41.873,-33 +repvgg_b3.rvgg_in1k,35.055,64.945,54.554,45.446,123.09,224,0.875,bilinear,-45.451,-40.700,+277 +repvgg_b3g4.rvgg_in1k,35.049,64.951,54.788,45.212,83.83,224,0.875,bilinear,-45.167,-40.304,+307 +convnextv2_tiny.fcmae_ft_in1k,35.045,64.955,54.224,45.776,28.64,288,1.000,bicubic,-48.419,-42.494,-23 +regnetz_d8.ra3_in1k,35.011,64.989,55.935,44.065,23.37,320,1.000,bicubic,-49.043,-41.060,-78 +xcit_tiny_24_p8_384.fb_dist_in1k,34.915,65.085,55.148,44.852,12.11,384,1.000,bicubic,-48.831,-41.562,-49 +resnet101d.ra2_in1k,34.876,65.124,54.210,45.790,44.57,320,1.000,bicubic,-48.140,-42.242,+19 +rexnetr_200.sw_in12k_ft_in1k,34.864,65.136,55.853,44.147,16.52,288,1.000,bicubic,-48.272,-40.783,+2 +coatnet_1_rw_224.sw_in1k,34.854,65.146,53.442,46.558,41.72,224,0.950,bicubic,-48.742,-42.940,-36 +coatnet_rmlp_1_rw_224.sw_in1k,34.805,65.195,53.957,46.043,41.69,224,0.950,bicubic,-48.557,-42.493,-16 +swin_s3_base_224.ms_in1k,34.803,65.197,53.703,46.297,71.13,224,0.900,bicubic,-49.117,-42.969,-76 +flexivit_base.300ep_in1k,34.797,65.203,53.165,46.835,86.59,240,0.950,bicubic,-49.609,-43.721,-116 +seresnext101_32x8d.ah_in1k,34.789,65.211,53.452,46.548,93.57,288,1.000,bicubic,-49.397,-43.422,-98 +resmlp_big_24_224.fb_distilled_in1k,34.788,65.213,54.642,45.358,129.14,224,0.875,bicubic,-48.804,-42.008,-40 +maxvit_tiny_rw_224.sw_in1k,34.780,65.220,53.351,46.649,29.06,224,0.950,bicubic,-48.724,-43.153,-38 +vit_relpos_base_patch16_clsgap_224.sw_in1k,34.725,65.275,54.214,45.786,86.43,224,0.900,bicubic,-48.035,-41.958,+30 +vit_base_patch16_rpn_224.sw_in1k,34.717,65.283,54.658,45.342,86.54,224,0.900,bicubic,-47.489,-41.340,+103 +sequencer2d_m.in1k,34.703,65.297,53.996,46.004,38.31,224,0.875,bicubic,-48.109,-42.278,+22 +deit3_small_patch16_224.fb_in1k,34.689,65.311,53.167,46.833,22.06,224,0.900,bicubic,-46.681,-42.289,+180 +vit_large_patch32_384.orig_in21k_ft_in1k,34.673,65.326,55.731,44.269,306.63,384,1.000,bicubic,-46.837,-40.359,+162 +davit_tiny.msft_in1k,34.673,65.326,54.342,45.658,28.36,224,0.950,bicubic,-48.023,-41.932,+34 +focalnet_small_srf.ms_in1k,34.670,65.330,54.420,45.580,49.89,224,0.900,bicubic,-48.746,-42.018,-37 +ecaresnet101d.miil_in1k,34.644,65.356,54.499,45.501,44.57,288,0.950,bicubic,-48.340,-42.043,+7 +resnext101_32x16d.fb_ssl_yfcc100m_ft_in1k,34.615,65.385,55.937,44.063,194.03,224,0.875,bilinear,-47.227,-40.155,+130 +vit_relpos_base_patch16_224.sw_in1k,34.607,65.393,54.291,45.709,86.43,224,0.900,bicubic,-47.889,-41.847,+59 +repvgg_b2g4.rvgg_in1k,34.593,65.407,54.768,45.232,61.76,224,0.875,bilinear,-44.789,-39.908,+338 +gcvit_tiny.in1k,34.554,65.446,53.249,46.751,28.22,224,0.875,bicubic,-48.830,-43.149,-36 +resnetrs200.tf_in1k,34.502,65.498,54.281,45.719,93.21,320,1.000,bicubic,-49.942,-42.801,-141 +poolformerv2_m48.sail_in1k,34.485,65.515,54.027,45.973,73.35,224,1.000,bicubic,-48.135,-42.045,+34 +convnextv2_nano.fcmae_ft_in22k_in1k,34.379,65.621,55.014,44.986,15.62,288,1.000,bicubic,-48.285,-41.506,+26 +resnest50d_4s2x40d.in1k,34.369,65.631,54.725,45.275,30.42,224,0.875,bicubic,-46.751,-40.835,+191 +resnetrs152.tf_in1k,34.351,65.649,53.564,46.436,86.62,320,1.000,bicubic,-49.351,-43.048,-69 +pvt_v2_b2_li.in1k,34.318,65.682,54.104,45.896,22.55,224,0.900,bicubic,-47.876,-41.988,+90 +crossvit_18_dagger_408.in1k,34.245,65.755,53.106,46.894,44.61,408,1.000,bicubic,-49.953,-43.710,-120 +xcit_medium_24_p16_224.fb_in1k,34.241,65.759,53.157,46.843,84.40,224,1.000,bicubic,-48.399,-42.827,+24 +efficientnetv2_rw_t.ra2_in1k,34.163,65.837,53.127,46.873,13.65,288,1.000,bicubic,-48.187,-43.065,+64 +pit_s_distilled_224.in1k,34.159,65.841,53.363,46.637,24.04,224,0.900,bicubic,-47.649,-42.365,+120 +tf_efficientnet_b1.ns_jft_in1k,34.157,65.843,55.505,44.495,7.79,240,0.882,bicubic,-47.237,-40.231,+158 +twins_pcpvt_large.in1k,34.117,65.883,54.133,45.867,60.99,224,0.900,bicubic,-49.013,-42.469,-26 +tf_efficientnet_b4.aa_in1k,34.060,65.940,54.212,45.788,19.34,380,0.922,bicubic,-48.958,-42.088,-16 +efficientformerv2_s2.snap_dist_in1k,34.060,65.940,53.467,46.533,12.71,224,0.950,bicubic,-48.106,-42.443,+86 +resnetv2_101.a1h_in1k,34.051,65.949,52.316,47.684,44.54,288,1.000,bicubic,-48.951,-44.138,-15 +resnext101_32x8d.fb_ssl_yfcc100m_ft_in1k,34.033,65.967,55.596,44.404,88.79,224,0.875,bilinear,-47.573,-40.445,+128 +tf_efficientnet_b6.aa_in1k,34.005,65.995,54.540,45.460,43.04,528,0.942,bicubic,-50.111,-42.340,-124 +xcit_small_24_p16_224.fb_in1k,34.005,65.995,53.281,46.719,47.67,224,1.000,bicubic,-48.575,-42.731,+28 +nfnet_l0.ra2_in1k,33.998,66.002,54.373,45.627,35.07,288,1.000,bicubic,-48.754,-42.143,+1 +efficientnet_b3_pruned.in1k,33.994,66.006,54.110,45.890,9.86,300,0.904,bicubic,-46.858,-41.134,+205 +regnety_160.deit_in1k,33.982,66.018,53.554,46.446,83.59,288,1.000,bicubic,-49.708,-43.228,-83 +resnext101_64x4d.tv_in1k,33.966,66.034,52.530,47.470,83.46,224,0.875,bilinear,-49.026,-43.714,-21 +gc_efficientnetv2_rw_t.agc_in1k,33.960,66.040,53.230,46.770,13.68,288,1.000,bicubic,-48.492,-43.062,+38 +swinv2_cr_small_ns_224.sw_in1k,33.846,66.154,52.640,47.360,49.70,224,0.900,bicubic,-49.652,-43.844,-73 +resnext101_64x4d.c1_in1k,33.842,66.158,52.161,47.839,83.46,288,1.000,bicubic,-49.314,-44.213,-43 +poolformerv2_s36.sail_in1k,33.827,66.173,53.685,46.315,30.79,224,1.000,bicubic,-47.741,-42.005,+121 +resnet101.a1h_in1k,33.777,66.223,53.102,46.898,44.55,288,1.000,bicubic,-49.001,-43.208,-10 +xcit_small_12_p16_224.fb_in1k,33.756,66.244,53.228,46.772,26.25,224,1.000,bicubic,-48.214,-42.560,+89 +swin_s3_small_224.ms_in1k,33.697,66.303,52.365,47.635,49.74,224,0.900,bicubic,-50.059,-44.087,-101 +resnetv2_50x3_bit.goog_in21k_ft_in1k,33.671,66.329,55.888,44.112,217.32,448,1.000,bilinear,-50.349,-41.238,-127 +swinv2_small_window8_256.ms_in1k,33.634,66.366,52.827,47.173,49.73,256,0.900,bicubic,-50.220,-43.817,-117 +resnet152.tv2_in1k,33.620,66.380,51.656,48.344,60.19,224,0.965,bilinear,-48.668,-44.348,+51 +resnet51q.ra2_in1k,33.557,66.443,53.027,46.973,35.70,288,1.000,bilinear,-48.803,-43.155,+38 +xcit_tiny_24_p16_384.fb_dist_in1k,33.508,66.492,52.768,47.232,12.12,384,1.000,bicubic,-49.062,-43.508,+15 +vit_relpos_medium_patch16_224.sw_in1k,33.498,66.502,52.620,47.380,38.75,224,0.900,bicubic,-48.964,-43.462,+25 +cs3edgenet_x.c2_in1k,33.457,66.543,52.925,47.075,47.82,288,1.000,bicubic,-49.251,-43.445,-12 +regnety_080.ra3_in1k,33.453,66.547,52.939,47.061,39.18,288,1.000,bicubic,-50.473,-43.951,-130 +convmixer_1536_20.in1k,33.432,66.568,53.029,46.971,51.63,224,0.960,bicubic,-47.930,-42.585,+135 +sequencer2d_s.in1k,33.430,66.570,52.383,47.617,27.65,224,0.875,bicubic,-48.910,-43.647,+36 +regnety_032.ra_in1k,33.416,66.584,52.768,47.232,19.44,288,1.000,bicubic,-49.312,-43.648,-18 +crossvit_18_240.in1k,33.386,66.614,52.247,47.753,43.27,240,0.875,bicubic,-49.010,-43.813,+24 +vit_srelpos_medium_patch16_224.sw_in1k,33.373,66.627,52.459,47.541,38.74,224,0.900,bicubic,-48.867,-43.483,+46 +gernet_l.idstcv_in1k,33.371,66.629,51.911,48.089,31.08,256,0.875,bilinear,-47.983,-43.619,+132 +tf_efficientnetv2_b3.in21k_ft_in1k,33.355,66.645,54.922,45.078,14.36,300,0.900,bicubic,-49.315,-41.705,-16 +regnetz_c16.ra3_in1k,33.335,66.665,54.243,45.757,13.46,320,1.000,bicubic,-49.299,-42.079,-13 +crossvit_15_dagger_408.in1k,33.335,66.665,52.202,47.798,28.50,408,1.000,bicubic,-50.507,-44.576,-129 +crossvit_18_dagger_240.in1k,33.282,66.718,52.196,47.804,44.27,240,0.875,bicubic,-49.234,-43.870,+8 +wide_resnet101_2.tv2_in1k,33.261,66.739,51.426,48.574,126.89,224,0.965,bilinear,-49.237,-44.592,+8 +swin_tiny_patch4_window7_224.ms_in22k_ft_in1k,33.257,66.743,55.295,44.705,28.29,224,0.900,bicubic,-47.711,-40.719,+162 +tresnet_xl.miil_in1k,33.255,66.745,52.298,47.702,78.44,224,0.875,bilinear,-48.819,-43.628,+57 +nest_base_jx.goog_in1k,33.215,66.785,51.825,48.175,67.72,224,0.875,bicubic,-50.319,-44.549,-102 +convnext_tiny.fb_in1k,33.168,66.832,52.677,47.323,28.59,288,1.000,bicubic,-49.530,-43.955,-26 +resnest50d_1s4x24d.in1k,33.145,66.855,52.840,47.160,25.68,224,0.875,bicubic,-47.843,-42.485,+155 +convnext_nano.in12k_ft_in1k,33.119,66.881,53.988,46.012,15.59,288,1.000,bicubic,-49.743,-42.568,-44 +vit_relpos_medium_patch16_rpn_224.sw_in1k,33.092,66.908,52.363,47.637,38.73,224,0.900,bicubic,-49.218,-43.609,+25 +resnet61q.ra2_in1k,33.090,66.910,51.746,48.254,36.85,288,1.000,bicubic,-49.434,-44.384,-3 +maxxvit_rmlp_nano_rw_256.sw_in1k,33.074,66.926,51.852,48.148,16.78,256,0.950,bicubic,-49.968,-44.498,-60 +nest_small_jx.goog_in1k,33.052,66.948,51.064,48.936,38.35,224,0.875,bicubic,-50.072,-45.256,-71 +rexnet_300.nav_in1k,33.048,66.952,52.369,47.631,34.71,224,0.875,bicubic,-49.726,-43.867,-41 +crossvit_base_240.in1k,33.033,66.967,51.390,48.610,105.03,240,0.875,bicubic,-49.183,-44.534,+32 +poolformerv2_m36.sail_in1k,33.031,66.969,51.858,48.142,56.08,224,1.000,bicubic,-49.185,-43.974,+30 +twins_pcpvt_base.in1k,33.023,66.977,52.506,47.494,43.83,224,0.900,bicubic,-49.687,-43.840,-39 +pvt_v2_b2.in1k,33.013,66.987,52.003,47.997,25.36,224,0.900,bicubic,-49.073,-43.953,+43 +xcit_tiny_24_p16_224.fb_dist_in1k,32.999,67.001,52.074,47.926,12.12,224,1.000,bicubic,-47.455,-43.144,+198 +rexnet_200.nav_in1k,32.966,67.034,52.923,47.077,16.37,224,0.875,bicubic,-48.670,-42.741,+76 +resnest50d.in1k,32.966,67.034,52.705,47.295,27.48,224,0.875,bilinear,-47.998,-42.679,+147 +crossvit_15_dagger_240.in1k,32.927,67.073,51.807,48.193,28.21,240,0.875,bicubic,-49.403,-44.153,+10 +convit_small.fb_in1k,32.923,67.077,52.115,47.885,27.78,224,0.875,bicubic,-48.497,-43.629,+98 +tf_efficientnetv2_s.in1k,32.913,67.087,51.738,48.262,21.46,384,1.000,bicubic,-50.987,-44.960,-159 +swin_base_patch4_window12_384.ms_in1k,32.905,67.095,51.750,48.250,87.90,384,1.000,bicubic,-51.571,-45.142,-215 +vit_small_patch16_224.augreg_in21k_ft_in1k,32.883,67.117,53.921,46.079,22.05,224,0.900,bicubic,-48.501,-42.215,+99 +convnext_tiny_hnf.a2h_in1k,32.881,67.119,51.194,48.806,28.59,288,1.000,bicubic,-49.703,-44.814,-28 +tf_efficientnet_b3.aa_in1k,32.862,67.138,52.962,47.038,12.23,300,0.904,bicubic,-48.782,-42.760,+67 +pnasnet5large.tf_in1k,32.862,67.138,50.516,49.484,86.06,331,0.911,bicubic,-49.920,-45.524,-57 +twins_svt_base.in1k,32.832,67.168,51.565,48.435,56.07,224,0.900,bicubic,-50.290,-44.851,-87 +regnetv_064.ra3_in1k,32.828,67.172,52.862,47.138,30.58,288,1.000,bicubic,-50.888,-43.882,-142 +convnextv2_nano.fcmae_ft_in1k,32.815,67.185,52.656,47.344,15.62,288,1.000,bicubic,-49.671,-43.570,-19 +nasnetalarge.tf_in1k,32.781,67.219,50.141,49.859,88.75,331,0.911,bicubic,-49.845,-45.901,-43 +gernet_m.idstcv_in1k,32.760,67.240,51.897,48.103,21.14,224,0.875,bilinear,-47.974,-43.289,+155 +inception_resnet_v2.tf_in1k,32.736,67.264,50.642,49.358,55.84,299,0.897,bicubic,-47.726,-44.666,+179 +resnet152d.gluon_in1k,32.726,67.274,51.080,48.920,60.21,224,0.875,bicubic,-47.750,-44.122,+176 +pit_b_224.in1k,32.724,67.276,49.852,50.148,73.76,224,0.900,bicubic,-49.714,-45.864,-20 +tf_efficientnet_b2.ap_in1k,32.685,67.315,52.237,47.763,9.11,260,0.890,bicubic,-47.623,-42.791,+189 +swin_base_patch4_window7_224.ms_in1k,32.644,67.356,51.573,48.427,87.77,224,0.900,bicubic,-50.962,-44.879,-140 +fbnetv3_g.ra2_in1k,32.624,67.376,52.888,47.112,16.62,288,0.950,bilinear,-49.412,-43.170,+26 +regnety_320.tv2_in1k,32.616,67.384,50.298,49.702,145.05,224,0.965,bicubic,-50.546,-46.118,-105 +tresnet_l.miil_in1k,32.565,67.435,51.139,48.861,55.99,224,0.875,bilinear,-48.915,-44.485,+72 +cait_xxs36_384.fb_dist_in1k,32.553,67.447,52.221,47.779,17.37,384,1.000,bicubic,-49.651,-43.923,+6 +resnext101_32x8d.tv2_in1k,32.549,67.451,50.164,49.836,88.79,224,0.965,bilinear,-50.283,-46.068,-78 +regnetz_c16_evos.ch_in1k,32.539,67.461,52.919,47.081,13.49,320,0.950,bicubic,-50.093,-43.555,-56 +gmlp_s16_224.ra3_in1k,32.420,67.580,51.817,48.183,19.42,224,0.875,bicubic,-47.224,-42.805,+229 +inception_resnet_v2.tf_ens_adv_in1k,32.365,67.635,50.429,49.571,55.84,299,0.897,bicubic,-47.613,-44.517,+200 +deit_base_patch16_224.fb_in1k,32.357,67.643,50.986,49.014,86.57,224,0.900,bicubic,-49.635,-44.751,+22 +maxvit_nano_rw_256.sw_in1k,32.355,67.645,50.622,49.378,15.45,256,0.950,bicubic,-50.573,-45.598,-88 +swin_small_patch4_window7_224.ms_in1k,32.347,67.653,50.903,49.097,49.61,224,0.900,bicubic,-50.861,-45.413,-118 +resnet152s.gluon_in1k,32.331,67.669,50.539,49.461,60.32,224,0.875,bicubic,-48.671,-44.871,+111 +xcit_tiny_24_p8_224.fb_in1k,32.292,67.708,51.895,48.105,12.11,224,1.000,bicubic,-49.600,-44.075,+27 +deit_small_distilled_patch16_224.fb_in1k,32.274,67.726,52.113,47.887,22.44,224,0.900,bicubic,-48.944,-43.271,+86 +poolformerv2_s24.sail_in1k,32.268,67.732,51.492,48.508,21.34,224,1.000,bicubic,-48.480,-43.818,+134 +seresnext101_64x4d.gluon_in1k,32.192,67.808,50.313,49.687,88.23,224,0.875,bicubic,-48.704,-44.983,+119 +regnetx_320.tv2_in1k,32.174,67.826,49.349,50.651,107.81,224,0.965,bicubic,-50.636,-46.859,-87 +seresnext101_32x4d.gluon_in1k,32.121,67.879,51.243,48.757,48.96,224,0.875,bicubic,-48.771,-44.053,+118 +coat_lite_small.in1k,32.115,67.885,49.928,50.072,19.84,224,0.900,bicubic,-50.199,-45.920,-24 +flexivit_small.1200ep_in1k,32.091,67.909,50.327,49.673,22.06,240,0.950,bicubic,-50.429,-45.797,-50 +coatnext_nano_rw_224.sw_in1k,32.070,67.930,51.017,48.983,14.70,224,0.900,bicubic,-49.872,-44.899,+16 +maxxvitv2_nano_rw_256.sw_in1k,32.068,67.932,50.345,49.655,23.70,256,0.950,bicubic,-51.042,-45.979,-116 +focalnet_tiny_lrf.ms_in1k,32.052,67.948,51.451,48.549,28.65,224,0.900,bicubic,-50.102,-44.497,-7 +gcvit_xtiny.in1k,32.044,67.956,50.991,49.009,19.98,224,0.875,bicubic,-49.910,-44.977,+12 +deit_base_patch16_384.fb_in1k,31.989,68.011,50.553,49.447,86.86,384,1.000,bicubic,-51.117,-45.815,-118 +maxvit_rmlp_nano_rw_256.sw_in1k,31.976,68.025,50.618,49.382,15.50,256,0.950,bicubic,-50.978,-45.648,-106 +xcit_tiny_12_p8_224.fb_dist_in1k,31.940,68.060,51.402,48.598,6.71,224,1.000,bicubic,-49.272,-44.200,+76 +coatnet_bn_0_rw_224.sw_in1k,31.907,68.093,51.017,48.983,27.44,224,0.950,bicubic,-50.493,-45.169,-48 +tf_efficientnet_b7.aa_in1k,31.877,68.123,51.905,48.095,66.35,600,0.949,bicubic,-52.537,-45.001,-245 +levit_384.fb_dist_in1k,31.875,68.125,50.594,49.406,39.13,224,0.900,bicubic,-50.721,-45.424,-74 +levit_conv_384.fb_dist_in1k,31.873,68.127,50.593,49.407,39.13,224,0.900,bicubic,-50.717,-45.656,-73 +resnetrs101.tf_in1k,31.858,68.142,51.023,48.977,63.62,288,0.940,bicubic,-50.426,-44.991,-32 +cs3se_edgenet_x.c2ns_in1k,31.806,68.194,50.767,49.233,50.72,320,1.000,bicubic,-51.736,-45.905,-169 +vit_relpos_small_patch16_224.sw_in1k,31.781,68.219,50.620,49.380,21.98,224,0.900,bicubic,-49.681,-45.200,+43 +convnext_tiny.fb_in22k_ft_in1k,31.667,68.333,51.785,48.215,28.59,288,1.000,bicubic,-47.231,-42.889,+253 +poolformer_m48.sail_in1k,31.665,68.335,49.800,50.200,73.47,224,0.950,bicubic,-50.817,-46.165,-61 +flexivit_small.600ep_in1k,31.643,68.357,49.384,50.616,22.06,240,0.950,bicubic,-50.719,-46.698,-51 +tnt_s_patch16_224,31.634,68.366,51.153,48.847,23.76,224,0.900,bicubic,-49.902,-44.584,+29 +eca_nfnet_l0.ra2_in1k,31.616,68.384,51.593,48.407,24.14,288,1.000,bicubic,-50.962,-44.901,-76 +focalnet_tiny_srf.ms_in1k,31.604,68.396,50.864,49.136,28.43,224,0.900,bicubic,-50.530,-45.104,-22 +resnetv2_50x1_bit.goog_distilled_in1k,31.581,68.419,51.268,48.732,25.55,224,0.875,bicubic,-51.239,-45.246,-113 +coatnet_rmlp_nano_rw_224.sw_in1k,31.551,68.449,50.180,49.820,15.15,224,0.900,bicubic,-50.499,-45.700,-17 +mobilevitv2_200.cvnets_in22k_ft_in1k,31.521,68.478,51.777,48.223,18.45,256,0.888,bicubic,-50.810,-44.165,-51 +wide_resnet50_2.racm_in1k,31.521,68.478,50.388,49.612,68.88,288,0.950,bicubic,-50.758,-45.676,-43 +xception41p.ra3_in1k,31.508,68.492,50.380,49.620,26.91,299,0.940,bicubic,-50.464,-45.416,-13 +regnety_064.ra3_in1k,31.463,68.537,50.516,49.484,30.58,288,1.000,bicubic,-52.257,-46.206,-197 +poolformer_m36.sail_in1k,31.447,68.553,50.015,49.985,56.17,224,0.950,bicubic,-50.655,-45.863,-26 +resnet152.a1_in1k,31.433,68.567,48.653,51.347,60.19,288,1.000,bicubic,-51.299,-47.067,-111 +resnext101_32x4d.fb_ssl_yfcc100m_ft_in1k,31.429,68.571,52.127,47.873,44.18,224,0.875,bilinear,-49.495,-43.607,+83 +flexivit_small.300ep_in1k,31.425,68.575,49.217,50.783,22.06,240,0.950,bicubic,-50.753,-46.819,-37 +inception_v4.tf_in1k,31.384,68.616,49.237,50.763,42.68,299,0.875,bicubic,-48.772,-45.731,+153 +rexnet_150.nav_in1k,31.376,68.624,51.284,48.716,9.73,224,0.875,bicubic,-48.948,-43.890,+135 +pit_s_224.in1k,31.347,68.653,49.679,50.321,23.46,224,0.900,bicubic,-49.745,-45.891,+65 +resnet101.tv2_in1k,31.347,68.653,49.679,50.321,44.55,224,0.965,bilinear,-50.543,-46.089,-13 +efficientformer_l1.snap_dist_in1k,31.343,68.657,50.443,49.557,12.29,224,0.950,bicubic,-49.155,-44.545,+115 +regnety_032.tv2_in1k,31.335,68.665,50.127,49.873,19.44,224,0.965,bicubic,-50.421,-45.713,-6 +crossvit_15_240.in1k,31.325,68.675,50.176,49.824,27.53,240,0.875,bicubic,-50.209,-45.516,+11 +swinv2_tiny_window16_256.ms_in1k,31.305,68.695,49.667,50.333,28.35,256,0.900,bicubic,-51.499,-46.569,-127 +cait_xxs36_224.fb_dist_in1k,31.272,68.728,50.614,49.386,17.30,224,1.000,bicubic,-48.474,-44.260,+167 +cspresnet50.ra_in1k,31.268,68.732,51.227,48.773,21.62,256,0.887,bilinear,-48.322,-43.485,+179 +crossvit_small_240.in1k,31.262,68.738,50.192,49.808,26.86,240,0.875,bicubic,-49.754,-45.264,+61 +vit_srelpos_small_patch16_224.sw_in1k,31.260,68.740,50.233,49.767,21.97,224,0.900,bicubic,-49.832,-45.099,+55 +swinv2_cr_small_224.sw_in1k,31.254,68.746,48.745,51.255,49.70,224,0.900,bicubic,-51.882,-47.739,-162 +coatnet_0_rw_224.sw_in1k,31.252,68.748,48.633,51.367,27.44,224,0.950,bicubic,-51.138,-47.203,-82 +swin_s3_tiny_224.ms_in1k,31.248,68.752,49.728,50.272,28.33,224,0.900,bicubic,-50.896,-46.226,-48 +cspresnext50.ra_in1k,31.227,68.773,50.871,49.129,20.57,256,0.887,bilinear,-49.329,-44.451,+98 +regnetv_040.ra3_in1k,31.225,68.775,50.121,49.879,20.64,288,1.000,bicubic,-51.973,-46.537,-173 +convmixer_768_32.in1k,31.219,68.781,50.928,49.072,21.11,224,0.960,bicubic,-48.949,-44.145,+133 +coat_mini.in1k,31.195,68.805,49.761,50.239,10.34,224,0.900,bicubic,-50.075,-45.621,+27 +xcit_tiny_12_p8_384.fb_dist_in1k,31.182,68.818,50.508,49.492,6.71,384,1.000,bicubic,-51.206,-45.712,-87 +resnet101s.gluon_in1k,31.105,68.895,49.799,50.201,44.67,224,0.875,bicubic,-49.197,-45.351,+118 +edgenext_small.usi_in1k,31.101,68.899,50.135,49.865,5.59,320,1.000,bicubic,-50.463,-45.577,-8 +coatnet_nano_rw_224.sw_in1k,31.097,68.903,49.581,50.419,15.14,224,0.900,bicubic,-50.601,-46.066,-21 +tf_efficientnet_cc_b0_8e.in1k,31.091,68.909,50.781,49.219,24.01,224,0.875,bicubic,-46.815,-42.879,+286 +resmlp_36_224.fb_distilled_in1k,31.062,68.938,49.696,50.304,44.69,224,0.875,bicubic,-50.086,-45.782,+34 +ecaresnet50t.ra2_in1k,31.050,68.950,50.573,49.427,25.57,320,0.950,bicubic,-51.302,-45.567,-88 +resnet152c.gluon_in1k,31.017,68.984,48.932,51.068,60.21,224,0.875,bicubic,-48.893,-45.912,+134 +cs3sedarknet_x.c2ns_in1k,31.013,68.987,50.131,49.869,35.40,288,1.000,bicubic,-51.645,-46.219,-132 +cspdarknet53.ra_in1k,31.003,68.997,50.404,49.596,27.64,256,0.887,bilinear,-49.059,-44.676,+127 +resnext101_64x4d.gluon_in1k,30.993,69.007,48.549,51.451,83.46,224,0.875,bicubic,-49.607,-46.443,+83 +tresnet_m.miil_in1k,30.991,69.009,48.684,51.316,31.39,224,0.875,bilinear,-49.807,-46.172,+63 +twins_svt_small.in1k,30.981,69.019,49.221,50.779,24.06,224,0.900,bicubic,-50.697,-46.439,-29 +regnety_160.tv2_in1k,30.946,69.054,49.058,50.942,83.59,224,0.965,bicubic,-51.696,-47.158,-136 +gcresnet50t.ra2_in1k,30.936,69.064,50.034,49.966,25.90,288,1.000,bicubic,-50.520,-45.684,-6 +tf_efficientnet_cc_b1_8e.in1k,30.907,69.094,50.078,49.922,39.72,240,0.882,bicubic,-48.396,-44.296,+177 +resmlp_24_224.fb_distilled_in1k,30.901,69.099,50.174,49.826,30.02,224,0.875,bicubic,-49.855,-45.050,+62 +regnety_080_tv.tv2_in1k,30.893,69.107,48.724,51.276,39.38,224,0.965,bicubic,-51.697,-47.294,-130 +resnext101_32x4d.gluon_in1k,30.891,69.109,48.539,51.461,44.18,224,0.875,bicubic,-49.449,-46.391,+97 +tf_efficientnetv2_b3.in1k,30.855,69.145,49.814,50.186,14.36,300,0.904,bicubic,-51.115,-45.998,-55 +tf_efficientnet_lite4.in1k,30.834,69.166,50.392,49.608,13.01,380,0.920,bilinear,-50.698,-45.272,-21 +resnetaa50d.sw_in12k_ft_in1k,30.802,69.198,50.569,49.431,25.58,288,1.000,bicubic,-51.798,-45.929,-136 +nf_resnet50.ra2_in1k,30.700,69.300,49.948,50.052,25.56,288,0.940,bicubic,-49.940,-45.384,+67 +poolformer_s36.sail_in1k,30.692,69.308,49.447,50.553,30.86,224,0.900,bicubic,-50.738,-45.997,-13 +xcit_tiny_24_p16_224.fb_in1k,30.671,69.329,50.416,49.584,12.12,224,1.000,bicubic,-48.777,-44.462,+155 +resnet50.a1h_in1k,30.635,69.365,49.421,50.579,25.56,224,1.000,bicubic,-50.041,-45.885,+60 +dpn107.mx_in1k,30.625,69.374,48.739,51.261,86.92,224,0.875,bicubic,-49.543,-46.203,+106 +tresnet_xl.miil_in1k_448,30.622,69.379,49.074,50.926,78.44,448,0.875,bilinear,-52.439,-47.101,-186 +resnet152.gluon_in1k,30.614,69.386,48.513,51.487,60.19,224,0.875,bicubic,-49.080,-46.223,+132 +resnext50_32x4d.fb_ssl_yfcc100m_ft_in1k,30.602,69.398,50.667,49.333,25.03,224,0.875,bilinear,-49.736,-44.731,+87 +haloregnetz_b.ra3_in1k,30.592,69.408,48.993,51.007,11.68,224,0.940,bicubic,-50.456,-46.207,+20 +pit_xs_distilled_224.in1k,30.543,69.457,50.184,49.816,11.00,224,0.900,bicubic,-48.637,-44.178,+171 +regnetx_080.tv2_in1k,30.523,69.477,48.032,51.968,39.57,224,0.965,bicubic,-51.015,-47.510,-36 +resnet101d.gluon_in1k,30.506,69.494,47.973,52.027,44.57,224,0.875,bicubic,-49.920,-47.051,+76 +resnest26d.gluon_in1k,30.494,69.506,50.663,49.337,17.07,224,0.875,bilinear,-47.990,-43.631,+213 +mobilevitv2_200.cvnets_in22k_ft_in1k_384,30.490,69.510,50.575,49.425,18.45,384,1.000,bicubic,-52.910,-46.007,-228 +efficientformerv2_s1.snap_dist_in1k,30.451,69.549,49.588,50.412,6.19,224,0.950,bicubic,-49.237,-45.466,+126 +resnet50.ram_in1k,30.451,69.549,48.997,51.003,25.56,288,0.950,bicubic,-49.525,-46.055,+102 +efficientnet_b2.ra_in1k,30.427,69.573,49.688,50.312,9.11,288,1.000,bicubic,-50.183,-45.625,+53 +tf_efficientnet_b1.ap_in1k,30.421,69.579,49.549,50.451,7.79,240,0.882,bicubic,-48.859,-44.759,+154 +cs3darknet_x.c2ns_in1k,30.409,69.591,49.197,50.803,35.05,288,1.000,bicubic,-51.813,-47.033,-104 +xcit_tiny_12_p16_384.fb_dist_in1k,30.403,69.597,50.131,49.869,6.72,384,1.000,bicubic,-50.535,-45.283,+19 +twins_pcpvt_small.in1k,30.392,69.608,49.388,50.612,24.11,224,0.900,bicubic,-50.704,-46.260,+4 +ecaresnetlight.miil_in1k,30.382,69.618,49.146,50.854,30.16,288,0.950,bicubic,-51.026,-46.670,-30 +resnet50d.ra2_in1k,30.376,69.624,48.792,51.208,25.58,288,0.950,bicubic,-50.980,-46.946,-24 +ecaresnet101d_pruned.miil_in1k,30.360,69.640,48.810,51.190,24.88,288,0.950,bicubic,-51.638,-47.350,-85 +visformer_small.in1k,30.337,69.663,48.285,51.715,40.22,224,0.900,bicubic,-51.765,-47.412,-96 +tf_efficientnet_b5.in1k,30.295,69.705,49.761,50.239,30.39,456,0.934,bicubic,-52.881,-46.775,-221 +resnet101.a1_in1k,30.293,69.707,46.580,53.420,44.55,288,1.000,bicubic,-52.029,-49.052,-124 +regnety_040.ra3_in1k,30.270,69.730,48.926,51.074,20.65,288,1.000,bicubic,-52.774,-47.572,-207 +regnetx_160.tv2_in1k,30.217,69.783,47.055,52.945,54.28,224,0.965,bicubic,-52.349,-49.117,-153 +mobilevitv2_175.cvnets_in22k_ft_in1k,30.209,69.791,49.056,50.944,14.25,256,0.888,bicubic,-51.729,-46.734,-83 +vit_relpos_base_patch32_plus_rpn_256.sw_in1k,30.201,69.799,48.688,51.312,119.42,256,0.900,bicubic,-49.283,-45.450,+124 +resnet50.b1k_in1k,30.197,69.803,49.187,50.813,25.56,288,1.000,bicubic,-50.509,-46.245,+30 +seresnext50_32x4d.racm_in1k,30.168,69.832,49.093,50.907,27.56,288,0.950,bicubic,-52.028,-47.055,-113 +resnet50.b2k_in1k,30.152,69.848,48.244,51.756,25.56,288,1.000,bicubic,-50.302,-47.074,+52 +regnety_016.tv2_in1k,30.138,69.862,49.223,50.777,11.20,224,0.965,bicubic,-50.530,-46.107,+31 +wide_resnet50_2.tv2_in1k,30.119,69.882,48.360,51.640,68.88,224,0.965,bilinear,-51.487,-47.402,-66 +dpn68b.ra_in1k,30.101,69.899,48.172,51.828,12.61,288,1.000,bicubic,-49.261,-46.267,+127 +convmixer_1024_20_ks9_p14.in1k,30.093,69.907,49.934,50.066,24.38,224,0.960,bicubic,-46.843,-43.416,+277 +efficientnet_el.ra_in1k,30.030,69.970,48.842,51.158,10.59,300,0.904,bicubic,-51.282,-46.694,-38 +tf_efficientnet_b2.aa_in1k,30.012,69.988,49.590,50.410,9.11,260,0.890,bicubic,-50.072,-45.316,+74 +xcit_tiny_12_p16_224.fb_dist_in1k,30.010,69.990,49.651,50.349,6.72,224,1.000,bicubic,-48.564,-44.547,+177 +halo2botnet50ts_256.a1h_in1k,29.995,70.005,48.376,51.624,22.64,256,0.950,bicubic,-52.067,-47.258,-109 +legacy_senet154.in1k,29.991,70.009,48.038,51.962,115.09,224,0.875,bilinear,-51.317,-47.454,-41 +dpn98.mx_in1k,29.981,70.019,48.146,51.854,61.57,224,0.875,bicubic,-49.689,-46.508,+100 +mobilevitv2_150.cvnets_in22k_ft_in1k,29.971,70.029,49.217,50.783,10.59,256,0.888,bicubic,-51.517,-46.451,-63 +resnetv2_50d_gn.ah_in1k,29.957,70.043,48.195,51.805,25.57,288,1.000,bicubic,-52.001,-47.733,-102 +dpn92.mx_in1k,29.946,70.054,49.113,50.887,37.67,224,0.875,bicubic,-50.092,-45.747,+69 +resnext50_32x4d.a1h_in1k,29.942,70.058,48.234,51.766,25.03,288,1.000,bicubic,-52.072,-47.700,-111 +convnextv2_pico.fcmae_ft_in1k,29.938,70.062,48.847,51.153,9.07,288,0.950,bicubic,-51.148,-46.633,-21 +dpn131.mx_in1k,29.934,70.066,48.034,51.966,79.25,224,0.875,bicubic,-49.880,-46.666,+81 +resnetv2_101x1_bit.goog_in21k_ft_in1k,29.896,70.104,51.111,48.889,44.54,448,1.000,bilinear,-52.446,-45.409,-152 +senet154.gluon_in1k,29.885,70.115,47.879,52.121,115.09,224,0.875,bicubic,-51.341,-47.479,-45 +tf_efficientnet_b4.in1k,29.863,70.137,49.013,50.987,19.34,380,0.922,bicubic,-52.745,-46.739,-191 +legacy_xception.tf_in1k,29.855,70.145,48.684,51.316,22.86,299,0.897,bicubic,-49.185,-45.698,+136 +resnet50.tv2_in1k,29.840,70.160,48.010,51.990,25.56,224,0.965,bilinear,-51.010,-47.424,-4 +cs3sedarknet_l.c2ns_in1k,29.828,70.172,49.009,50.991,21.91,288,0.950,bicubic,-51.956,-46.949,-98 +inception_v3.tf_adv_in1k,29.826,70.174,47.839,52.161,23.83,299,0.875,bicubic,-47.766,-45.891,+225 +resnet152.a2_in1k,29.826,70.174,45.961,54.039,60.19,288,1.000,bicubic,-52.782,-50.167,-195 +vit_base_patch16_384.augreg_in1k,29.798,70.202,48.333,51.667,86.86,384,1.000,bicubic,-51.304,-46.787,-36 +resnetaa50.a1h_in1k,29.788,70.212,48.014,51.986,25.56,288,1.000,bicubic,-51.826,-47.788,-92 +lamhalobotnet50ts_256.a1h_in1k,29.755,70.245,48.335,51.665,22.57,256,0.950,bicubic,-51.799,-47.155,-87 +fbnetv3_d.ra2_in1k,29.743,70.257,49.461,50.539,10.31,256,0.950,bilinear,-49.939,-45.483,+80 +ese_vovnet39b.ra_in1k,29.733,70.267,49.046,50.954,24.57,288,0.950,bicubic,-50.617,-46.320,+29 +resmlp_36_224.fb_in1k,29.698,70.302,48.958,51.042,44.69,224,0.875,bicubic,-50.074,-45.926,+70 +convnext_nano.d1h_in1k,29.684,70.316,47.920,52.080,15.59,288,1.000,bicubic,-51.798,-47.738,-82 +resnet50.c1_in1k,29.672,70.328,48.458,51.542,25.56,288,1.000,bicubic,-51.240,-47.094,-24 +vit_base_patch32_384.augreg_in1k,29.649,70.351,48.989,51.011,88.30,384,1.000,bicubic,-49.103,-45.235,+141 +ecaresnet50d.miil_in1k,29.562,70.438,48.967,51.033,25.58,288,0.950,bicubic,-52.088,-46.915,-103 +nest_tiny_jx.goog_in1k,29.558,70.442,46.975,53.025,17.06,224,0.875,bicubic,-51.868,-48.643,-79 +resnet152.a3_in1k,29.529,70.471,47.034,52.966,60.19,224,0.950,bicubic,-51.017,-47.966,+4 +gcresnext50ts.ch_in1k,29.519,70.481,47.853,52.147,15.67,288,1.000,bicubic,-51.713,-47.691,-65 +resnext50_32x4d.tv2_in1k,29.480,70.520,47.232,52.768,25.03,224,0.965,bilinear,-51.702,-48.108,-58 +cs3darknet_l.c2ns_in1k,29.464,70.536,48.230,51.770,21.16,288,0.950,bicubic,-51.432,-47.432,-30 +efficientnet_em.ra2_in1k,29.462,70.538,48.914,51.086,6.90,240,0.882,bicubic,-49.778,-45.880,+102 +resnet50.fb_ssl_yfcc100m_ft_in1k,29.439,70.561,49.789,50.211,25.56,224,0.875,bilinear,-49.795,-45.037,+102 +resnext101_32x8d.tv_in1k,29.437,70.563,48.488,51.512,88.79,224,0.875,bilinear,-49.873,-46.032,+92 +coat_lite_mini.in1k,29.435,70.565,47.718,52.282,11.01,224,0.900,bicubic,-49.667,-46.890,+108 +resnetv2_50.a1h_in1k,29.435,70.565,47.441,52.559,25.55,288,1.000,bicubic,-51.963,-48.285,-85 +deit_small_patch16_224.fb_in1k,29.425,70.575,48.256,51.744,22.05,224,0.900,bicubic,-50.419,-46.788,+48 +sebotnet33ts_256.a1h_in1k,29.423,70.577,47.160,52.840,13.70,256,0.940,bicubic,-51.743,-48.009,-65 +nf_regnet_b1.ra2_in1k,29.409,70.591,49.431,50.569,10.22,288,0.900,bicubic,-49.897,-45.309,+88 +cait_xxs24_384.fb_dist_in1k,29.391,70.609,48.751,51.249,12.03,384,1.000,bicubic,-51.581,-46.889,-48 +resnetv2_50d_evos.ah_in1k,29.382,70.618,47.226,52.774,25.59,288,1.000,bicubic,-52.618,-48.674,-145 +edgenext_small_rw.sw_in1k,29.346,70.654,48.722,51.278,7.83,320,1.000,bicubic,-51.112,-46.468,+1 +convnext_nano_ols.d1h_in1k,29.325,70.675,47.478,52.522,15.65,288,1.000,bicubic,-52.275,-48.158,-114 +regnetz_b16.ra3_in1k,29.321,70.679,47.885,52.115,9.72,288,1.000,bicubic,-51.407,-47.635,-26 +swin_tiny_patch4_window7_224.ms_in1k,29.321,70.679,47.609,52.391,28.29,224,0.900,bicubic,-52.055,-47.934,-91 +cait_xxs24_224.fb_dist_in1k,29.295,70.705,48.537,51.463,11.96,224,1.000,bicubic,-49.089,-45.779,+149 +eca_resnet33ts.ra2_in1k,29.277,70.723,48.928,51.072,19.68,288,1.000,bicubic,-51.395,-46.436,-24 +resnet50.d_in1k,29.250,70.750,47.213,52.787,25.56,288,1.000,bicubic,-51.722,-48.217,-55 +resnet50.c2_in1k,29.244,70.756,47.165,52.835,25.56,288,1.000,bicubic,-51.626,-48.369,-43 +pvt_v2_b1.in1k,29.238,70.762,48.958,51.042,14.01,224,0.900,bicubic,-49.464,-45.544,+121 +maxvit_rmlp_pico_rw_256.sw_in1k,29.238,70.762,47.719,52.281,7.52,256,0.950,bicubic,-51.276,-47.495,-16 +gcvit_xxtiny.in1k,29.218,70.781,48.348,51.652,12.00,224,0.875,bicubic,-50.509,-46.732,+42 +poolformer_s24.sail_in1k,29.207,70.793,48.079,51.921,21.39,224,0.900,bicubic,-51.089,-46.993,+6 +tresnet_l.miil_in1k_448,29.165,70.835,47.226,52.774,55.99,448,0.875,bilinear,-53.111,-48.752,-185 +seresnet50.ra2_in1k,29.148,70.852,47.753,52.247,28.09,288,0.950,bicubic,-52.136,-47.899,-93 +inception_v3.gluon_in1k,29.112,70.888,46.943,53.057,23.83,299,0.875,bicubic,-49.694,-47.431,+106 +lambda_resnet50ts.a1h_in1k,29.108,70.891,46.961,53.039,21.54,256,0.950,bicubic,-52.048,-48.137,-82 +resnet101.a2_in1k,29.091,70.909,45.762,54.238,44.55,288,1.000,bicubic,-53.145,-49.968,-186 +xception71.tf_in1k,29.034,70.966,47.395,52.605,42.34,299,0.903,bicubic,-50.838,-47.533,+22 +resnet34d.ra2_in1k,29.018,70.982,48.052,51.948,21.82,288,0.950,bicubic,-49.418,-46.292,+128 +hrnet_w64.ms_in1k,28.987,71.013,47.138,52.862,128.06,224,0.875,bilinear,-50.487,-47.508,+53 +xcit_tiny_12_p8_224.fb_in1k,28.979,71.021,47.501,52.499,6.71,224,1.000,bicubic,-50.709,-47.209,+36 +regnetx_032.tv2_in1k,28.975,71.025,47.069,52.931,15.30,224,0.965,bicubic,-51.951,-48.209,-65 +cs3darknet_focus_l.c2ns_in1k,28.934,71.066,47.641,52.359,21.15,288,0.950,bicubic,-51.946,-48.041,-60 +tf_efficientnet_b0.ns_jft_in1k,28.902,71.098,49.003,50.997,5.29,224,0.875,bicubic,-49.768,-45.371,+109 +xception65.tf_in1k,28.898,71.102,47.156,52.844,39.92,299,0.903,bicubic,-50.658,-47.498,+42 +tf_efficientnet_b1.aa_in1k,28.886,71.114,47.523,52.477,7.79,240,0.882,bicubic,-49.944,-46.675,+93 +vit_small_patch32_384.augreg_in21k_ft_in1k,28.875,71.125,48.883,51.117,22.92,384,1.000,bicubic,-51.611,-46.713,-30 +mobilevitv2_150.cvnets_in22k_ft_in1k_384,28.871,71.129,47.936,52.064,10.59,384,1.000,bicubic,-53.715,-48.378,-243 +resnet101.gluon_in1k,28.853,71.147,46.377,53.623,44.55,224,0.875,bicubic,-50.457,-48.145,+55 +skresnext50_32x4d.ra_in1k,28.810,71.190,46.501,53.499,27.48,224,0.875,bicubic,-51.352,-48.139,-1 +sehalonet33ts.ra2_in1k,28.776,71.224,46.574,53.426,13.69,256,0.940,bicubic,-52.180,-48.702,-76 +levit_256.fb_dist_in1k,28.741,71.259,46.727,53.273,18.89,224,0.900,bicubic,-52.773,-48.765,-135 +levit_conv_256.fb_dist_in1k,28.741,71.259,46.721,53.279,18.89,224,0.900,bicubic,-52.779,-48.769,-137 +resnet50.ra_in1k,28.694,71.306,47.366,52.634,25.56,288,0.950,bicubic,-51.142,-47.600,+13 +resnetblur50.bt_in1k,28.662,71.338,46.902,53.098,25.56,288,0.950,bicubic,-51.572,-48.332,-12 +tf_efficientnet_lite3.in1k,28.654,71.346,47.350,52.650,8.20,300,0.904,bilinear,-51.154,-47.562,+13 +darknetaa53.c2ns_in1k,28.654,71.346,46.953,53.047,36.02,288,1.000,bilinear,-51.847,-48.369,-41 +hrnet_w40.ms_in1k,28.647,71.353,47.452,52.548,57.56,224,0.875,bilinear,-50.283,-47.012,+74 +skresnet34.ra_in1k,28.635,71.365,47.963,52.037,22.28,224,0.875,bicubic,-48.275,-45.181,+195 +swinv2_tiny_window8_256.ms_in1k,28.627,71.373,46.189,53.811,28.35,256,0.900,bicubic,-53.193,-49.805,-169 +seresnext50_32x4d.gluon_in1k,28.621,71.379,46.438,53.562,27.56,224,0.875,bicubic,-51.289,-48.386,-3 +mobilevitv2_175.cvnets_in22k_ft_in1k_384,28.598,71.403,47.118,52.882,14.25,384,1.000,bicubic,-54.341,-49.308,-295 +tf_efficientnet_b3.in1k,28.582,71.418,47.987,52.013,12.23,300,0.904,bicubic,-52.296,-47.313,-79 +halonet50ts.a1h_in1k,28.578,71.422,46.179,53.821,22.73,256,0.940,bicubic,-53.082,-49.431,-164 +tf_efficientnetv2_b0.in1k,28.566,71.434,47.075,52.925,7.14,224,0.875,bicubic,-49.792,-46.939,+111 +poolformerv2_s12.sail_in1k,28.556,71.444,47.403,52.597,11.89,224,1.000,bicubic,-49.448,-46.461,+133 +resnet152.tv_in1k,28.543,71.457,47.106,52.894,60.19,224,0.875,bilinear,-49.779,-46.942,+111 +xcit_tiny_12_p16_224.fb_in1k,28.515,71.485,47.403,52.597,6.72,224,1.000,bicubic,-48.625,-46.313,+175 +eva02_tiny_patch14_336.mim_in22k_ft_in1k,28.507,71.493,47.541,52.459,5.76,336,1.000,bicubic,-52.123,-47.985,-63 +ecaresnet50t.a1_in1k,28.456,71.544,45.576,54.424,25.57,288,1.000,bicubic,-53.672,-50.066,-205 +repvgg_b2.rvgg_in1k,28.421,71.579,47.044,52.956,89.02,224,0.875,bilinear,-50.371,-47.376,+72 +hrnet_w48.ms_in1k,28.407,71.593,47.572,52.428,77.47,224,0.875,bilinear,-50.895,-46.944,+35 +swinv2_cr_tiny_ns_224.sw_in1k,28.379,71.621,45.902,54.098,28.33,224,0.900,bicubic,-53.423,-49.916,-180 +resnext50_32x4d.gluon_in1k,28.372,71.628,45.332,54.668,25.03,224,0.875,bicubic,-50.988,-49.098,+28 +efficientnet_b2_pruned.in1k,28.360,71.640,47.061,52.939,8.31,260,0.890,bicubic,-51.560,-47.791,-19 +tf_efficientnet_b0.ap_in1k,28.352,71.648,47.543,52.457,5.29,224,0.875,bicubic,-48.738,-45.719,+169 +dla169.in1k,28.328,71.672,47.388,52.612,53.39,224,0.875,bilinear,-50.380,-46.959,+73 +darknet53.c2ns_in1k,28.324,71.676,46.880,53.120,41.61,288,1.000,bicubic,-52.212,-48.553,-66 +tf_efficientnet_cc_b0_4e.in1k,28.317,71.683,47.364,52.636,13.31,224,0.875,bicubic,-48.986,-45.972,+155 +dla102x2.in1k,28.315,71.685,46.772,53.228,41.28,224,0.875,bilinear,-51.129,-47.866,+16 +resnext50_32x4d.ra_in1k,28.303,71.697,46.081,53.919,25.03,288,0.950,bicubic,-52.395,-49.309,-81 +mixnet_xl.ra_in1k,28.291,71.709,46.708,53.292,11.90,224,0.875,bicubic,-52.191,-48.229,-64 +resnet50d.gluon_in1k,28.234,71.766,45.884,54.116,25.58,224,0.875,bicubic,-50.844,-48.584,+41 +seresnet33ts.ra2_in1k,28.232,71.768,47.578,52.422,19.78,288,1.000,bicubic,-52.552,-47.784,-92 +resnet50.a1_in1k,28.220,71.780,44.937,55.063,25.56,288,1.000,bicubic,-52.994,-50.165,-137 +densenet161.tv_in1k,28.108,71.892,46.653,53.347,28.68,224,0.875,bicubic,-49.250,-46.989,+144 +resnet101c.gluon_in1k,28.104,71.896,45.953,54.047,44.57,224,0.875,bicubic,-51.438,-48.633,+2 +resnet34.a1_in1k,28.102,71.898,45.703,54.297,21.80,288,1.000,bicubic,-49.816,-47.211,+116 +wide_resnet101_2.tv_in1k,28.095,71.906,46.426,53.574,126.89,224,0.875,bilinear,-50.743,-47.855,+49 +regnetx_320.pycls_in1k,28.079,71.921,45.118,54.882,107.81,224,0.875,bicubic,-52.167,-49.904,-49 +regnety_320.pycls_in1k,28.075,71.925,45.460,54.540,145.05,224,0.875,bicubic,-52.733,-49.778,-102 +resnext50_32x4d.a1_in1k,28.075,71.925,44.815,55.185,25.03,288,1.000,bicubic,-53.391,-50.359,-170 +gernet_s.idstcv_in1k,28.051,71.949,46.727,53.273,8.17,224,0.875,bilinear,-48.859,-46.589,+162 +ecaresnet50d_pruned.miil_in1k,28.043,71.957,47.036,52.964,19.94,288,0.950,bicubic,-52.747,-48.534,-103 +levit_conv_192.fb_dist_in1k,28.032,71.968,45.874,54.126,10.95,224,0.900,bicubic,-51.806,-48.904,-30 +mobilevitv2_175.cvnets_in1k,28.028,71.972,46.098,53.902,14.25,256,0.888,bicubic,-52.832,-49.158,-111 +levit_192.fb_dist_in1k,28.028,71.972,45.870,54.130,10.95,224,0.900,bicubic,-51.810,-48.914,-30 +efficientnet_el_pruned.in1k,28.002,71.998,46.804,53.196,10.59,300,0.904,bicubic,-52.298,-48.418,-62 +vit_base_patch16_224.augreg_in1k,27.973,72.027,45.739,54.261,86.57,224,0.900,bicubic,-51.181,-48.351,+20 +resnet101.a3_in1k,27.925,72.075,45.012,54.988,44.55,224,0.950,bicubic,-51.888,-49.594,-31 +resnet50_gn.a1h_in1k,27.916,72.084,46.069,53.931,25.56,288,0.950,bicubic,-53.300,-49.559,-154 +xception41.tf_in1k,27.880,72.120,45.890,54.110,26.97,299,0.903,bicubic,-50.624,-48.386,+56 +regnetx_160.pycls_in1k,27.827,72.173,45.631,54.369,54.28,224,0.875,bicubic,-52.039,-49.197,-41 +dpn68b.mx_in1k,27.814,72.186,47.415,52.585,12.61,224,0.875,bicubic,-49.704,-46.437,+119 +resnet50d.a1_in1k,27.790,72.210,44.377,55.623,25.58,288,1.000,bicubic,-53.660,-50.841,-180 +inception_v3.tf_in1k,27.782,72.218,45.723,54.277,23.83,299,0.875,bicubic,-50.080,-48.143,+103 +res2net101_26w_4s.in1k,27.778,72.222,45.159,54.841,45.21,224,0.875,bilinear,-51.424,-49.277,+10 +tf_efficientnetv2_b1.in1k,27.743,72.257,46.574,53.426,8.14,240,0.882,bicubic,-51.719,-48.148,-14 +vit_base_patch16_224.sam_in1k,27.703,72.297,45.100,54.900,86.57,224,0.900,bicubic,-52.541,-49.656,-67 +fbnetv3_b.ra2_in1k,27.670,72.330,46.987,53.013,8.60,256,0.950,bilinear,-51.472,-47.755,+10 +repvgg_b1.rvgg_in1k,27.637,72.363,46.533,53.467,57.42,224,0.875,bilinear,-50.731,-47.563,+62 +mobilevitv2_200.cvnets_in1k,27.637,72.363,45.784,54.216,18.45,256,0.888,bicubic,-53.497,-49.578,-155 +regnety_160.pycls_in1k,27.637,72.363,45.531,54.469,83.59,224,0.875,bicubic,-52.661,-49.431,-75 +hrnet_w44.ms_in1k,27.633,72.367,45.839,54.161,67.06,224,0.875,bilinear,-51.259,-48.525,+21 +resnet50.am_in1k,27.580,72.420,45.371,54.629,25.56,224,0.875,bicubic,-51.418,-49.025,+13 +inception_v3.tv_in1k,27.554,72.446,45.265,54.735,23.83,299,0.875,bicubic,-49.880,-48.209,+111 +resmlp_24_224.fb_in1k,27.517,72.483,45.690,54.310,30.02,224,0.875,bicubic,-51.857,-48.856,-17 +pit_xs_224.in1k,27.477,72.522,45.904,54.096,10.62,224,0.900,bicubic,-50.703,-48.260,+68 +gcresnet33ts.ra2_in1k,27.401,72.599,46.161,53.839,19.88,288,1.000,bicubic,-53.199,-49.159,-111 +regnetx_080.pycls_in1k,27.397,72.603,45.012,54.988,39.57,224,0.875,bicubic,-51.805,-49.540,-4 +hrnet_w30.ms_in1k,27.393,72.607,46.554,53.446,37.71,224,0.875,bilinear,-50.799,-47.668,+64 +hrnet_w32.ms_in1k,27.375,72.625,45.998,54.002,41.23,224,0.875,bilinear,-51.069,-48.190,+44 +convnext_pico.d1_in1k,27.361,72.638,45.660,54.340,9.05,288,0.950,bicubic,-53.053,-49.390,-97 +vit_small_patch16_384.augreg_in1k,27.332,72.668,46.118,53.882,22.20,384,1.000,bicubic,-53.784,-49.456,-166 +resnet50s.gluon_in1k,27.328,72.672,45.208,54.792,25.68,224,0.875,bicubic,-51.390,-49.034,+23 +res2net50_26w_8s.in1k,27.306,72.694,44.815,55.185,48.40,224,0.875,bilinear,-51.635,-49.479,+5 +convnext_pico_ols.d1_in1k,27.301,72.699,45.644,54.356,9.06,288,1.000,bicubic,-53.163,-49.602,-107 +densenet201.tv_in1k,27.271,72.729,46.210,53.790,20.01,224,0.875,bicubic,-50.015,-47.270,+107 +resnet33ts.ra2_in1k,27.257,72.743,45.183,54.817,19.68,288,1.000,bicubic,-52.469,-49.645,-55 +ecaresnet50t.a2_in1k,27.246,72.754,44.047,55.953,25.57,288,1.000,bicubic,-54.412,-51.505,-229 +regnety_064.pycls_in1k,27.232,72.768,44.868,55.132,30.58,224,0.875,bicubic,-52.482,-49.898,-56 +efficientnet_b1_pruned.in1k,27.196,72.804,45.863,54.137,6.33,240,0.882,bicubic,-51.046,-48.029,+51 +tf_efficientnetv2_b2.in1k,27.167,72.833,44.572,55.428,10.10,260,0.890,bicubic,-53.027,-50.471,-87 +vit_base_patch32_224.augreg_in1k,27.140,72.861,45.175,54.825,88.22,224,0.900,bicubic,-47.755,-46.603,+167 +seresnet50.a1_in1k,27.124,72.876,43.563,56.437,28.09,288,1.000,bicubic,-53.978,-51.767,-174 +resnet50d.a2_in1k,27.118,72.882,43.817,56.183,25.58,288,1.000,bicubic,-54.046,-51.267,-183 +resnetrs50.tf_in1k,27.098,72.902,45.025,54.975,35.69,224,0.910,bicubic,-52.798,-49.947,-78 +rexnet_130.nav_in1k,27.077,72.923,45.957,54.043,7.56,224,0.875,bicubic,-52.427,-48.721,-48 +gmixer_24_224.ra3_in1k,27.031,72.969,44.353,55.647,24.72,224,0.875,bicubic,-50.995,-49.315,+57 +dla102x.in1k,27.026,72.975,45.503,54.497,26.31,224,0.875,bilinear,-51.473,-48.733,+19 +resnet101.tv_in1k,26.966,73.034,45.234,54.766,44.55,224,0.875,bilinear,-50.410,-48.308,+88 +regnetx_120.pycls_in1k,26.866,73.134,44.684,55.316,46.11,224,0.875,bicubic,-52.722,-50.059,-56 +resnet32ts.ra2_in1k,26.851,73.149,45.045,54.955,17.96,288,1.000,bicubic,-52.541,-49.607,-45 +rexnet_100.nav_in1k,26.839,73.161,45.377,54.623,4.80,224,0.875,bicubic,-51.023,-48.267,+63 +legacy_seresnext101_32x4d.in1k,26.823,73.177,43.507,56.493,48.96,224,0.875,bilinear,-53.407,-51.519,-101 +densenet169.tv_in1k,26.819,73.181,45.381,54.619,14.15,224,0.875,bicubic,-49.081,-47.647,+134 +tinynet_a.in1k,26.813,73.187,45.082,54.918,6.19,192,0.875,bicubic,-50.845,-48.458,+68 +regnetx_064.pycls_in1k,26.799,73.201,44.915,55.085,26.21,224,0.875,bicubic,-52.267,-49.543,-22 +regnety_120.pycls_in1k,26.784,73.216,44.442,55.558,51.82,224,0.875,bicubic,-53.602,-50.686,-122 +regnetx_032.pycls_in1k,26.717,73.283,45.230,54.770,15.30,224,0.875,bicubic,-51.451,-48.852,+37 +res2net101d.in1k,26.711,73.289,44.336,55.664,45.23,224,0.875,bilinear,-54.513,-51.016,-206 +resnext50_32x4d.a2_in1k,26.682,73.318,42.768,57.232,25.03,288,1.000,bicubic,-54.622,-52.328,-212 +legacy_seresnet152.in1k,26.670,73.330,43.953,56.047,66.82,224,0.875,bilinear,-51.990,-50.418,+1 +efficientnet_es.ra_in1k,26.623,73.377,45.096,54.904,5.44,224,0.875,bicubic,-51.431,-48.828,+40 +res2net50_26w_6s.in1k,26.589,73.411,44.004,55.996,37.05,224,0.875,bilinear,-51.979,-50.118,+1 +repvgg_b1g4.rvgg_in1k,26.579,73.421,45.100,54.900,39.97,224,0.875,bilinear,-51.003,-48.736,+64 +dla60x.in1k,26.578,73.422,45.031,54.969,17.35,224,0.875,bilinear,-51.662,-49.003,+27 +coat_lite_tiny.in1k,26.517,73.484,44.646,55.354,5.72,224,0.900,bicubic,-51.003,-49.276,+64 +regnety_080.pycls_in1k,26.515,73.485,44.355,55.645,39.18,224,0.875,bicubic,-53.353,-50.477,-98 +mobilenetv3_large_100.miil_in21k_ft_in1k,26.499,73.501,44.497,55.503,5.48,224,0.875,bilinear,-51.419,-49.269,+45 +tf_efficientnet_b0.aa_in1k,26.479,73.521,45.641,54.359,5.29,224,0.875,bicubic,-50.355,-47.579,+95 +res2net50_14w_8s.in1k,26.477,73.523,44.371,55.629,25.06,224,0.875,bilinear,-51.681,-49.475,+27 +tf_efficientnet_b2.in1k,26.462,73.538,44.788,55.212,9.11,260,0.890,bicubic,-53.142,-49.926,-79 +resnet50.gluon_in1k,26.426,73.574,44.037,55.963,25.56,224,0.875,bicubic,-51.154,-49.681,+57 +ecaresnet50t.a3_in1k,26.416,73.584,43.508,56.492,25.57,224,0.950,bicubic,-53.136,-51.186,-77 +tf_efficientnet_el.in1k,26.355,73.645,44.175,55.825,10.59,300,0.904,bicubic,-53.897,-50.943,-126 +levit_conv_128.fb_dist_in1k,26.330,73.670,44.120,55.880,9.21,224,0.900,bicubic,-52.164,-49.888,-7 +levit_128.fb_dist_in1k,26.328,73.672,44.116,55.884,9.21,224,0.900,bicubic,-52.162,-49.896,-6 +lambda_resnet26t.c1_in1k,26.326,73.674,44.430,55.570,10.96,256,0.940,bicubic,-52.762,-50.160,-46 +resmlp_big_24_224.fb_in1k,26.318,73.682,43.554,56.446,129.14,224,0.875,bicubic,-54.718,-51.464,-203 +resmlp_12_224.fb_distilled_in1k,26.316,73.684,44.874,55.126,15.35,224,0.875,bicubic,-51.638,-48.686,+31 +visformer_tiny.in1k,26.255,73.745,44.184,55.816,10.32,224,0.900,bicubic,-51.907,-49.980,+16 +regnetx_040.pycls_in1k,26.241,73.759,44.424,55.576,22.12,224,0.875,bicubic,-52.251,-49.818,-12 +mobilevitv2_150.cvnets_in1k,26.178,73.822,43.762,56.238,10.59,256,0.888,bicubic,-54.192,-51.312,-146 +crossvit_9_dagger_240.in1k,26.173,73.827,44.544,55.456,8.78,240,0.875,bicubic,-50.807,-49.076,+75 +vit_small_patch32_224.augreg_in21k_ft_in1k,26.165,73.835,45.106,54.894,22.88,224,0.900,bicubic,-49.829,-47.692,+99 +seresnet50.a2_in1k,26.165,73.835,42.675,57.325,28.09,288,1.000,bicubic,-54.941,-52.547,-217 +densenetblur121d.ra_in1k,26.135,73.865,45.039,54.961,8.00,288,0.950,bicubic,-51.185,-48.751,+53 +resnet50.a2_in1k,26.094,73.906,42.583,57.417,25.56,288,1.000,bicubic,-54.678,-52.405,-186 +resnet50d.a3_in1k,26.090,73.910,42.976,57.024,25.58,224,0.950,bicubic,-52.632,-51.260,-33 +resnet34.a2_in1k,26.084,73.916,43.108,56.892,21.80,288,1.000,bicubic,-51.074,-50.166,+61 +resnext50_32x4d.a3_in1k,26.082,73.918,42.946,57.054,25.03,224,0.950,bicubic,-53.186,-51.360,-71 +efficientnet_b1.ft_in1k,26.055,73.945,44.080,55.920,7.79,256,1.000,bicubic,-52.745,-50.262,-41 +convnextv2_femto.fcmae_ft_in1k,26.037,73.963,44.302,55.698,5.23,288,0.950,bicubic,-53.301,-50.258,-81 +lambda_resnet26rpt_256.c1_in1k,26.033,73.967,44.190,55.810,10.99,256,0.940,bicubic,-52.935,-50.248,-56 +mobilevitv2_125.cvnets_in1k,26.021,73.979,43.668,56.332,7.48,256,0.888,bicubic,-53.659,-51.190,-106 +dpn68.mx_in1k,26.006,73.994,44.084,55.916,12.61,224,0.875,bicubic,-50.340,-48.924,+84 +hrnet_w18.ms_in1k,25.978,74.022,44.807,55.193,21.30,224,0.875,bilinear,-50.774,-48.637,+69 +hardcorenas_f.miil_green_in1k,25.939,74.061,44.208,55.792,8.20,224,0.875,bilinear,-52.159,-49.598,+3 +vit_small_patch16_224.augreg_in1k,25.939,74.061,43.964,56.036,22.05,224,0.900,bicubic,-52.907,-50.324,-53 +regnety_040.pycls_in1k,25.907,74.093,43.858,56.142,20.65,224,0.875,bicubic,-53.325,-50.798,-76 +regnetx_016.tv2_in1k,25.878,74.122,43.353,56.647,9.19,224,0.965,bicubic,-53.558,-51.415,-95 +res2net50_26w_4s.in1k,25.876,74.124,43.163,56.837,25.70,224,0.875,bilinear,-52.074,-50.689,+10 +resnext50d_32x4d.bt_in1k,25.876,74.124,42.956,57.044,25.05,288,0.950,bicubic,-54.788,-52.464,-190 +tresnet_m.miil_in1k_448,25.860,74.140,42.868,57.132,31.39,448,0.875,bilinear,-55.848,-52.706,-298 +coat_tiny.in1k,25.858,74.142,43.275,56.725,5.50,224,0.900,bicubic,-52.568,-50.773,-27 +densenet121.ra_in1k,25.821,74.179,44.860,55.140,7.98,288,0.950,bicubic,-50.679,-48.508,+70 +hardcorenas_c.miil_green_in1k,25.819,74.181,44.778,55.222,5.52,224,0.875,bilinear,-51.239,-48.390,+48 +resnet50c.gluon_in1k,25.791,74.209,43.021,56.979,25.58,224,0.875,bicubic,-52.221,-50.967,-1 +halonet26t.a1h_in1k,25.776,74.224,43.220,56.780,12.48,256,0.950,bicubic,-53.330,-51.086,-79 +SelecSls60.in1k,25.725,74.275,44.072,55.928,30.67,224,0.875,bicubic,-52.259,-49.760,0 +hardcorenas_e.miil_green_in1k,25.662,74.338,43.422,56.578,8.07,224,0.875,bilinear,-52.122,-50.276,+9 +poolformer_s12.sail_in1k,25.650,74.350,44.157,55.843,11.92,224,0.900,bicubic,-51.584,-49.375,+34 +dla60_res2net.in1k,25.650,74.350,43.593,56.407,20.85,224,0.875,bilinear,-52.812,-50.609,-38 +dla60_res2next.in1k,25.648,74.352,43.679,56.321,17.03,224,0.875,bilinear,-52.786,-50.465,-37 +ecaresnet26t.ra2_in1k,25.538,74.462,43.660,56.340,16.01,320,0.950,bicubic,-54.312,-51.430,-143 +resmlp_12_224.fb_in1k,25.528,74.472,44.330,55.670,15.35,224,0.875,bicubic,-51.120,-48.848,+51 +tf_efficientnet_lite1.in1k,25.512,74.488,43.579,56.421,5.42,240,0.882,bicubic,-51.132,-49.651,+50 +mixnet_l.ft_in1k,25.512,74.488,43.475,56.525,7.33,224,0.875,bicubic,-53.454,-50.705,-78 +convnext_femto.d1_in1k,25.510,74.490,43.672,56.328,5.22,288,0.950,bicubic,-53.206,-50.759,-61 +res2net50d.in1k,25.495,74.505,43.041,56.959,25.72,224,0.875,bilinear,-54.759,-51.995,-172 +cs3darknet_focus_m.c2ns_in1k,25.493,74.507,43.762,56.238,9.30,288,0.950,bicubic,-51.791,-50.204,+24 +resnext50_32x4d.tv_in1k,25.467,74.533,42.787,57.213,25.03,224,0.875,bilinear,-52.151,-50.909,+5 +bat_resnext26ts.ch_in1k,25.455,74.545,43.194,56.806,10.73,256,0.900,bicubic,-52.797,-50.904,-33 +botnet26t_256.c1_in1k,25.451,74.549,42.660,57.340,12.49,256,0.950,bicubic,-53.805,-51.875,-103 +eca_halonext26ts.c1_in1k,25.442,74.558,43.182,56.818,10.76,256,0.940,bicubic,-54.044,-51.418,-125 +repvgg_a2.rvgg_in1k,25.434,74.566,43.947,56.053,28.21,224,0.875,bilinear,-51.024,-49.055,+52 +tf_mixnet_l.in1k,25.412,74.588,42.534,57.466,7.33,224,0.875,bicubic,-53.364,-51.468,-74 +hardcorenas_b.miil_green_in1k,25.402,74.598,44.182,55.818,5.18,224,0.875,bilinear,-51.134,-48.578,+43 +regnety_008_tv.tv2_in1k,25.395,74.606,43.430,56.570,6.43,224,0.965,bicubic,-53.280,-50.956,-68 +res2next50.in1k,25.392,74.608,42.492,57.508,24.67,224,0.875,bilinear,-52.850,-51.343,-39 +convnext_femto_ols.d1_in1k,25.387,74.613,43.137,56.863,5.23,288,0.950,bicubic,-53.537,-51.389,-89 +efficientformerv2_s0.snap_dist_in1k,25.363,74.637,43.921,56.079,3.60,224,0.950,bicubic,-50.755,-48.939,+52 +SelecSls60b.in1k,25.326,74.674,43.554,56.446,32.77,224,0.875,bicubic,-53.088,-50.480,-53 +resnetv2_50x1_bit.goog_in21k_ft_in1k,25.322,74.678,45.350,54.650,25.55,448,1.000,bilinear,-55.018,-50.330,-197 +hardcorenas_d.miil_green_in1k,25.322,74.678,43.141,56.859,7.50,224,0.875,bilinear,-52.118,-50.349,+1 +legacy_seresnet101.in1k,25.322,74.678,42.831,57.169,49.33,224,0.875,bilinear,-53.064,-51.431,-53 +regnety_032.pycls_in1k,25.316,74.684,42.909,57.091,19.44,224,0.875,bicubic,-53.560,-51.499,-92 +wide_resnet50_2.tv_in1k,25.310,74.690,42.176,57.824,68.88,224,0.875,bilinear,-53.170,-51.910,-65 +dla102.in1k,25.302,74.698,43.840,56.160,33.27,224,0.875,bilinear,-52.720,-50.092,-33 +resnest14d.gluon_in1k,25.279,74.722,44.104,55.896,10.61,224,0.875,bilinear,-50.232,-48.400,+57 +legacy_seresnext50_32x4d.in1k,25.212,74.788,41.944,58.056,27.56,224,0.875,bilinear,-53.864,-52.488,-107 +mixer_b16_224.goog_in21k_ft_in1k,25.111,74.888,41.225,58.775,59.88,224,0.875,bicubic,-51.491,-50.999,+27 +res2net50_48w_2s.in1k,25.025,74.975,42.206,57.794,25.29,224,0.875,bilinear,-52.489,-51.346,-10 +efficientnet_b0.ra_in1k,25.015,74.985,42.797,57.203,5.29,224,0.875,bicubic,-52.679,-50.735,-21 +resnet50.a3_in1k,25.002,74.999,41.891,58.109,25.56,224,0.950,bicubic,-53.047,-51.889,-41 +resnet34.gluon_in1k,24.942,75.058,42.239,57.761,21.80,224,0.875,bicubic,-49.636,-49.745,+72 +dla60.in1k,24.941,75.059,43.294,56.706,22.04,224,0.875,bilinear,-52.105,-50.024,+9 +mobilenetv2_120d.ra_in1k,24.915,75.085,43.051,56.949,5.83,224,0.875,bicubic,-52.387,-50.453,-6 +convnextv2_atto.fcmae_ft_in1k,24.890,75.111,42.469,57.531,3.71,288,0.950,bicubic,-52.871,-51.257,-28 +eca_botnext26ts_256.c1_in1k,24.868,75.132,42.943,57.057,10.59,256,0.950,bicubic,-54.400,-51.663,-131 +resnet34.bt_in1k,24.828,75.171,42.080,57.920,21.80,288,0.950,bicubic,-51.652,-51.274,+26 +regnety_016.pycls_in1k,24.827,75.173,42.612,57.388,11.20,224,0.875,bicubic,-53.035,-51.106,-35 +xcit_nano_12_p8_224.fb_dist_in1k,24.801,75.199,43.072,56.928,3.05,224,1.000,bicubic,-51.531,-50.022,+28 +seresnet50.a3_in1k,24.793,75.207,42.101,57.899,28.09,224,0.950,bicubic,-52.235,-50.973,+3 +pit_ti_distilled_224.in1k,24.715,75.285,43.227,56.773,5.10,224,0.900,bicubic,-49.539,-48.727,+65 +cs3darknet_m.c2ns_in1k,24.626,75.374,42.970,57.030,9.31,288,0.950,bicubic,-53.008,-51.046,-30 +eca_resnext26ts.ch_in1k,24.561,75.439,42.534,57.466,10.30,288,1.000,bicubic,-53.439,-51.392,-48 +resnet50.bt_in1k,24.559,75.441,41.445,58.555,25.56,288,0.950,bicubic,-55.081,-53.447,-166 +mobilevitv2_100.cvnets_in1k,24.553,75.447,42.921,57.079,4.90,256,0.888,bicubic,-53.523,-51.249,-57 +tf_efficientnet_lite2.in1k,24.534,75.466,42.292,57.708,6.09,260,0.890,bicubic,-52.930,-51.458,-26 +seresnext26ts.ch_in1k,24.506,75.494,42.665,57.335,10.39,288,1.000,bicubic,-53.766,-51.429,-72 +skresnet18.ra_in1k,24.497,75.504,42.534,57.466,11.96,224,0.875,bicubic,-48.541,-48.638,+74 +regnetx_016.pycls_in1k,24.477,75.523,42.490,57.510,9.19,224,0.875,bicubic,-52.447,-50.925,-1 +tf_efficientnet_lite0.in1k,24.375,75.625,42.508,57.492,4.65,224,0.875,bicubic,-50.455,-49.664,+47 +hardcorenas_a.miil_green_in1k,24.365,75.635,43.306,56.694,5.26,224,0.875,bilinear,-51.565,-49.204,+23 +hrnet_w18.ms_aug_in1k,24.333,75.667,42.888,57.112,21.30,224,0.950,bilinear,-53.793,-51.165,-67 +gcresnext26ts.ch_in1k,24.153,75.847,41.306,58.694,10.48,288,1.000,bicubic,-54.261,-52.864,-86 +resnet50.tv_in1k,24.090,75.910,41.323,58.677,25.56,224,0.875,bilinear,-52.040,-51.535,+15 +tf_efficientnet_b1.in1k,24.070,75.930,41.512,58.488,7.79,240,0.882,bicubic,-54.490,-52.582,-103 +levit_128s.fb_dist_in1k,24.060,75.940,41.001,58.999,7.78,224,0.900,bicubic,-52.466,-51.871,+3 +levit_conv_128s.fb_dist_in1k,24.052,75.948,41.003,58.997,7.78,224,0.900,bicubic,-52.468,-51.983,+4 +legacy_seresnet34.in1k,24.023,75.977,41.903,58.097,21.96,224,0.875,bilinear,-50.785,-50.223,+40 +xcit_nano_12_p16_384.fb_dist_in1k,24.005,75.995,42.306,57.694,3.05,384,1.000,bicubic,-51.453,-50.390,+26 +xcit_nano_12_p8_384.fb_dist_in1k,23.956,76.044,41.954,58.046,3.05,384,1.000,bicubic,-53.864,-52.086,-55 +efficientnet_lite0.ra_in1k,23.909,76.091,42.115,57.885,4.65,224,0.875,bicubic,-51.571,-50.407,+23 +densenet121.tv_in1k,23.840,76.160,41.928,58.072,7.98,224,0.875,bicubic,-50.924,-50.225,+37 +efficientnet_es_pruned.in1k,23.820,76.180,41.993,58.007,5.44,224,0.875,bicubic,-51.194,-50.453,+31 +regnetx_008.tv2_in1k,23.779,76.221,40.689,59.311,7.26,224,0.965,bicubic,-53.525,-52.977,-37 +mixnet_m.ft_in1k,23.716,76.284,41.148,58.852,5.01,224,0.875,bicubic,-53.542,-52.270,-33 +resnet26t.ra2_in1k,23.712,76.288,41.319,58.681,16.01,320,1.000,bicubic,-54.620,-52.805,-94 +mobilenetv2_140.ra_in1k,23.701,76.299,41.475,58.525,6.11,224,0.875,bicubic,-52.819,-51.391,-7 +dla34.in1k,23.685,76.315,41.549,58.451,15.74,224,0.875,bilinear,-50.953,-50.515,+33 +legacy_seresnet50.in1k,23.640,76.360,40.079,59.921,28.09,224,0.875,bilinear,-54.004,-53.679,-58 +convnext_atto.d2_in1k,23.589,76.411,41.087,58.913,3.70,288,0.950,bicubic,-53.419,-52.614,-26 +resnext26ts.ra2_in1k,23.589,76.411,40.891,59.109,10.30,288,1.000,bicubic,-53.585,-52.573,-36 +tf_mixnet_m.in1k,23.484,76.516,40.997,59.003,5.01,224,0.875,bicubic,-53.470,-52.157,-26 +resnet34.tv_in1k,23.475,76.525,41.361,58.639,21.80,224,0.875,bilinear,,, +SelecSls42b.in1k,23.369,76.632,40.665,59.335,32.46,224,0.875,bicubic,-53.802,-52.727,-39 +tf_efficientnet_em.in1k,23.369,76.632,40.398,59.602,6.90,240,0.882,bicubic,-54.754,-53.648,-90 +resnet34.a3_in1k,23.369,76.632,40.072,59.928,21.80,224,0.950,bicubic,-49.602,-51.037,+51 +repvgg_b0.rvgg_in1k,23.319,76.681,41.164,58.836,15.82,224,0.875,bilinear,-51.823,-51.252,+12 +regnety_004.tv2_in1k,23.282,76.718,40.993,59.007,4.34,224,0.965,bicubic,-52.316,-51.703,+3 +xcit_nano_12_p16_224.fb_dist_in1k,23.260,76.740,41.368,58.632,3.05,224,1.000,bicubic,-49.050,-49.492,+53 +convnext_atto_ols.a2_in1k,23.129,76.871,40.881,59.119,3.70,288,0.950,bicubic,-54.087,-52.795,-46 +mobilenetv2_110d.ra_in1k,23.078,76.922,40.757,59.243,4.52,224,0.875,bicubic,-51.978,-51.429,+11 +resnet18.a1_in1k,23.058,76.942,39.551,60.449,11.69,288,1.000,bicubic,-50.100,-51.475,+38 +vit_base_patch32_224.sam_in1k,23.046,76.954,39.565,60.435,88.22,224,0.900,bicubic,-50.648,-51.449,+32 +tinynet_b.in1k,23.021,76.979,40.974,59.026,3.73,188,0.875,bicubic,-51.957,-51.213,+11 +resnet18d.ra2_in1k,23.005,76.995,41.197,58.803,11.71,288,0.950,bicubic,-50.789,-50.640,+29 +deit_tiny_distilled_patch16_224.fb_in1k,22.728,77.272,40.775,59.225,5.91,224,0.900,bicubic,-51.772,-51.117,+19 +mobilenetv3_large_100.ra_in1k,22.659,77.341,40.767,59.233,5.48,224,0.875,bicubic,-53.107,-51.771,-11 +mobilenetv3_rw.rmsp_in1k,22.630,77.370,40.362,59.638,5.48,224,0.875,bicubic,-52.990,-52.342,-9 +edgenext_x_small.in1k,22.590,77.410,39.500,60.500,2.34,288,1.000,bicubic,-53.098,-53.266,-12 +tf_mobilenetv3_large_100.in1k,22.579,77.421,39.773,60.227,5.48,224,0.875,bilinear,-52.937,-52.821,-8 +tf_efficientnet_b0.in1k,22.563,77.437,39.570,60.430,5.29,224,0.875,bicubic,-53.969,-53.438,-33 +mobilevit_s.cvnets_in1k,22.484,77.516,38.649,61.351,5.58,256,0.900,bicubic,-55.828,-55.495,-118 +xcit_nano_12_p8_224.fb_in1k,22.408,77.592,40.628,59.372,3.05,224,1.000,bicubic,-51.508,-51.542,+19 +tf_efficientnet_es.in1k,22.406,77.594,39.089,60.911,5.44,224,0.875,bicubic,-54.194,-54.113,-38 +hrnet_w18_small_v2.ms_in1k,22.341,77.659,39.863,60.137,15.60,224,0.875,bilinear,-52.773,-52.551,-4 +convit_tiny.fb_in1k,22.268,77.732,39.675,60.325,5.71,224,0.875,bicubic,-50.844,-52.037,+25 +regnetx_004_tv.tv2_in1k,22.207,77.793,39.111,60.889,5.50,224,0.965,bicubic,-52.389,-53.067,+6 +regnety_008.pycls_in1k,22.115,77.885,38.902,61.098,6.26,224,0.875,bicubic,-54.187,-54.158,-30 +ese_vovnet19b_dw.ra_in1k,22.072,77.928,39.456,60.544,6.54,288,0.950,bicubic,-55.672,-54.331,-91 +regnety_006.pycls_in1k,21.975,78.025,38.961,61.039,6.06,224,0.875,bicubic,-53.295,-53.565,-12 +vit_tiny_r_s16_p8_384.augreg_in21k_ft_in1k,21.948,78.052,39.407,60.593,6.36,384,1.000,bicubic,-54.014,-53.857,-29 +regnetx_008.pycls_in1k,21.948,78.052,38.932,61.068,7.26,224,0.875,bicubic,-53.082,-53.406,-8 +semnasnet_100.rmsp_in1k,21.887,78.113,38.600,61.400,3.89,224,0.875,bicubic,-53.563,-53.994,-16 +pit_ti_224.in1k,21.877,78.123,39.527,60.473,4.85,224,0.900,bicubic,-51.033,-51.873,+22 +pvt_v2_b0.in1k,21.836,78.164,40.152,59.848,3.67,224,0.900,bicubic,-48.824,-50.044,+40 +regnetx_006.pycls_in1k,21.747,78.253,38.914,61.086,6.20,224,0.875,bicubic,-52.121,-52.764,+7 +vit_tiny_patch16_384.augreg_in21k_ft_in1k,21.718,78.282,39.327,60.673,5.79,384,1.000,bicubic,-56.706,-55.213,-142 +crossvit_9_240.in1k,21.694,78.306,39.258,60.742,8.55,240,0.875,bicubic,-52.264,-52.710,+3 +vgg19_bn.tv_in1k,21.623,78.376,39.276,60.724,143.68,224,0.875,bilinear,-52.592,-52.568,-3 +ghostnet_100.in1k,21.623,78.376,38.708,61.292,5.18,224,0.875,bilinear,-52.358,-52.758,+1 +semnasnet_075.rmsp_in1k,21.576,78.424,38.924,61.076,2.91,224,0.875,bicubic,-51.416,-52.214,+12 +resnet18.gluon_in1k,21.547,78.453,38.873,61.127,11.69,224,0.875,bicubic,-49.291,-50.881,+32 +mobilevitv2_075.cvnets_in1k,21.535,78.465,38.631,61.369,2.87,256,0.888,bicubic,-54.073,-54.113,-33 +fbnetc_100.rmsp_in1k,21.500,78.500,38.181,61.819,5.57,224,0.875,bilinear,-53.630,-54.207,-24 +xcit_nano_12_p16_224.fb_in1k,21.437,78.563,39.791,60.209,3.05,224,1.000,bicubic,-48.525,-49.971,+34 +mnasnet_100.rmsp_in1k,21.346,78.653,37.709,62.291,4.38,224,0.875,bicubic,-53.304,-54.414,-16 +resnet18.fb_ssl_yfcc100m_ft_in1k,21.290,78.710,39.099,60.901,11.69,224,0.875,bilinear,-51.304,-52.319,+9 +lcnet_100.ra2_in1k,21.290,78.710,38.873,61.127,2.95,224,0.875,bicubic,-50.806,-51.489,+19 +mixnet_s.ft_in1k,21.278,78.722,38.199,61.801,4.13,224,0.875,bicubic,-54.716,-55.071,-47 +legacy_seresnext26_32x4d.in1k,21.087,78.913,37.635,62.365,16.79,224,0.875,bicubic,-56.021,-55.679,-81 +crossvit_tiny_240.in1k,21.052,78.948,38.067,61.933,7.01,240,0.875,bicubic,-52.284,-53.841,-3 +resnet18.a2_in1k,20.944,79.056,36.851,63.149,11.69,288,1.000,bicubic,-51.428,-53.745,+8 +regnetx_004.pycls_in1k,20.889,79.111,37.533,62.467,5.16,224,0.875,bicubic,-51.509,-53.295,+5 +spnasnet_100.rmsp_in1k,20.871,79.129,37.890,62.110,4.42,224,0.875,bilinear,-53.215,-53.930,-16 +legacy_seresnet18.in1k,20.847,79.153,37.639,62.361,11.78,224,0.875,bicubic,-50.919,-52.693,+15 +seresnext26t_32x4d.bt_in1k,20.847,79.153,36.344,63.656,16.81,288,0.950,bicubic,-57.897,-57.968,-185 +mobilenetv2_100.ra_in1k,20.757,79.243,37.764,62.236,3.50,224,0.875,bicubic,-52.219,-53.246,-3 +tf_mixnet_s.in1k,20.476,79.524,36.627,63.373,4.13,224,0.875,bicubic,-55.176,-56.009,-50 +vit_tiny_patch16_224.augreg_in21k_ft_in1k,20.458,79.542,37.601,62.399,5.72,224,0.900,bicubic,-54.996,-55.243,-43 +regnety_004.pycls_in1k,20.413,79.587,37.014,62.986,4.34,224,0.875,bicubic,-53.615,-54.736,-21 +tf_mobilenetv3_large_075.in1k,20.372,79.628,36.784,63.216,3.99,224,0.875,bilinear,-53.060,-54.568,-15 +hrnet_w18_small.ms_in1k,20.364,79.636,37.090,62.910,13.19,224,0.875,bilinear,-51.974,-53.587,-1 +resnet26d.bt_in1k,20.266,79.734,36.348,63.652,16.01,288,0.950,bicubic,-57.142,-57.290,-110 +resnet18.tv_in1k,20.230,79.770,37.260,62.740,11.69,224,0.875,bilinear,-49.530,-51.810,+17 +mixer_l16_224.goog_in21k_ft_in1k,20.175,79.825,32.938,67.062,208.20,224,0.875,bicubic,-51.879,-54.736,+2 +deit_tiny_patch16_224.fb_in1k,20.142,79.858,37.541,62.459,5.72,224,0.900,bicubic,-52.030,-53.571,-1 +tf_mobilenetv3_large_minimal_100.in1k,20.103,79.897,36.894,63.106,3.92,224,0.875,bilinear,-52.155,-53.744,-4 +seresnext26d_32x4d.bt_in1k,20.063,79.937,35.233,64.766,16.81,288,0.950,bicubic,-58.751,-59.006,-203 +vgg16_bn.tv_in1k,19.945,80.055,36.314,63.686,138.37,224,0.875,bilinear,-53.425,-55.200,-22 +resnet26.bt_in1k,19.739,80.261,35.839,64.161,16.00,288,0.950,bicubic,-56.627,-57.341,-75 +vit_tiny_r_s16_p8_224.augreg_in21k_ft_in1k,19.334,80.666,36.059,63.941,6.34,224,0.900,bicubic,-52.464,-54.765,-2 +tinynet_c.in1k,19.260,80.740,35.982,64.018,2.46,184,0.875,bicubic,-51.980,-53.752,+1 +edgenext_xx_small.in1k,18.863,81.137,35.159,64.841,1.33,288,1.000,bicubic,-53.015,-55.393,-5 +resnet18.a3_in1k,18.450,81.550,33.485,66.515,11.69,224,0.950,bicubic,-49.804,-54.691,+13 +mobilevit_xs.cvnets_in1k,18.312,81.688,33.192,66.808,2.32,256,0.900,bicubic,-56.324,-59.154,-43 +lcnet_075.ra2_in1k,18.128,81.872,34.371,65.629,2.36,224,0.875,bicubic,-50.654,-53.989,+8 +vgg19.tv_in1k,17.941,82.059,33.058,66.942,143.67,224,0.875,bilinear,-54.437,-57.816,-18 +vgg13_bn.tv_in1k,17.798,82.202,34.043,65.957,133.05,224,0.875,bilinear,-53.790,-56.335,-6 +vgg16.tv_in1k,17.536,82.464,32.779,67.221,138.36,224,0.875,bilinear,-54.056,-57.605,-8 +regnety_002.pycls_in1k,17.460,82.540,32.433,67.567,3.16,224,0.875,bicubic,-52.818,-57.095,-3 +vgg11_bn.tv_in1k,17.399,82.601,33.001,66.999,132.87,224,0.875,bilinear,-52.983,-56.807,-5 +mobilevitv2_050.cvnets_in1k,17.308,82.692,33.003,66.997,1.37,256,0.888,bicubic,-52.830,-56.917,-4 +regnetx_002.pycls_in1k,16.953,83.047,32.241,67.759,2.68,224,0.875,bicubic,-51.793,-56.295,+2 +mobilenetv3_small_100.lamb_in1k,16.805,83.195,32.516,67.484,2.54,224,0.875,bicubic,-50.851,-55.120,+6 +resnet10t.c3_in1k,16.699,83.301,32.123,67.877,5.44,224,0.950,bicubic,-51.659,-55.917,+1 +mobilenetv2_050.lamb_in1k,16.666,83.334,31.962,68.038,1.97,224,0.875,bicubic,-49.284,-54.126,+8 +tinynet_d.in1k,16.660,83.340,32.451,67.549,2.34,152,0.875,bicubic,-50.314,-54.611,+4 +mnasnet_small.lamb_in1k,16.638,83.362,31.909,68.091,2.03,224,0.875,bicubic,-49.558,-54.595,+4 +dla60x_c.in1k,16.330,83.670,31.747,68.252,1.32,224,0.875,bilinear,-51.568,-56.674,0 +tf_mobilenetv3_small_100.in1k,16.216,83.784,31.205,68.795,2.54,224,0.875,bilinear,-51.702,-56.469,-2 +vgg13.tv_in1k,16.096,83.904,30.985,69.015,133.05,224,0.875,bilinear,-53.836,-58.265,-11 +resnet14t.c3_in1k,15.925,84.075,30.003,69.997,10.08,224,0.950,bicubic,-56.329,-60.299,-28 +vgg11.tv_in1k,15.723,84.278,30.451,69.549,132.86,224,0.875,bilinear,-53.300,-58.173,-11 +mobilenetv3_small_075.lamb_in1k,14.952,85.048,29.727,70.273,2.04,224,0.875,bicubic,-50.282,-55.719,+2 +tf_mobilenetv3_small_075.in1k,14.932,85.067,29.566,70.434,2.04,224,0.875,bilinear,-50.795,-56.560,0 +dla46_c.in1k,14.665,85.335,29.397,70.603,1.30,224,0.875,bilinear,-50.207,-56.901,+1 +mobilevit_xxs.cvnets_in1k,14.492,85.508,28.659,71.341,1.27,256,0.900,bicubic,-54.440,-60.283,-14 +dla46x_c.in1k,14.380,85.620,29.189,70.811,1.07,224,0.875,bilinear,-51.608,-57.791,-5 +lcnet_050.ra2_in1k,14.304,85.696,28.653,71.347,1.88,224,0.875,bicubic,-48.816,-55.733,-1 +tf_mobilenetv3_small_minimal_100.in1k,13.966,86.034,27.988,72.012,2.04,224,0.875,bilinear,-48.924,-56.252,-1 +tinynet_e.in1k,12.671,87.329,26.381,73.619,2.04,106,0.875,bicubic,-47.195,-55.383,-1 +mobilenetv3_small_050.lamb_in1k,11.040,88.960,23.477,76.523,1.59,224,0.875,bicubic,-46.870,-56.703,-1 From c308dbc6f223d3b5ffae865464fb881472eca579 Mon Sep 17 00:00:00 2001 From: Lengyue Date: Wed, 24 May 2023 12:20:17 -0400 Subject: [PATCH 09/34] update dinov2 layerscale init values --- timm/models/vision_transformer.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/timm/models/vision_transformer.py b/timm/models/vision_transformer.py index 0104e00701..b4f15cb8ba 100644 --- a/timm/models/vision_transformer.py +++ b/timm/models/vision_transformer.py @@ -1982,7 +1982,7 @@ def vit_small_patch14_dinov2(pretrained=False, **kwargs) -> VisionTransformer: """ ViT-S/14 for DINOv2 """ model_args = dict( - patch_size=14, embed_dim=384, depth=12, num_heads=6, init_values=1.0, img_size=518, + patch_size=14, embed_dim=384, depth=12, num_heads=6, init_values=1e-5, img_size=518, ) model = _create_vision_transformer( 'vit_small_patch14_dinov2', pretrained=pretrained, **dict(model_args, **kwargs)) @@ -1994,7 +1994,7 @@ def vit_base_patch14_dinov2(pretrained=False, **kwargs) -> VisionTransformer: """ ViT-B/14 for DINOv2 """ model_args = dict( - patch_size=14, embed_dim=768, depth=12, num_heads=12, init_values=1.0, img_size=518, + patch_size=14, embed_dim=768, depth=12, num_heads=12, init_values=1e-5, img_size=518, ) model = _create_vision_transformer( 'vit_base_patch14_dinov2', pretrained=pretrained, **dict(model_args, **kwargs)) @@ -2006,7 +2006,7 @@ def vit_large_patch14_dinov2(pretrained=False, **kwargs) -> VisionTransformer: """ ViT-L/14 for DINOv2 """ model_args = dict( - patch_size=14, embed_dim=1024, depth=24, num_heads=16, init_values=1.0, img_size=518, + patch_size=14, embed_dim=1024, depth=24, num_heads=16, init_values=1e-5, img_size=518, ) model = _create_vision_transformer( 'vit_large_patch14_dinov2', pretrained=pretrained, **dict(model_args, **kwargs)) @@ -2024,7 +2024,7 @@ def vit_giant_patch14_dinov2(pretrained=False, **kwargs) -> VisionTransformer: # With SwiGLUPacked, we need to set hidden_features = 2 * 4096 = 8192 model_args = dict( - patch_size=14, embed_dim=1536, depth=40, num_heads=24, init_values=1.0, + patch_size=14, embed_dim=1536, depth=40, num_heads=24, init_values=1e-5, mlp_ratio=2.66667 * 2, mlp_layer=SwiGLUPacked, img_size=518, act_layer=nn.SiLU ) model = _create_vision_transformer( From 13d5b21ecd40cc7dec12b12e14c6e55aac8c91fb Mon Sep 17 00:00:00 2001 From: Lorenzo Baraldi Date: Thu, 1 Jun 2023 17:27:51 +0200 Subject: [PATCH 10/34] Changed help_string of --worker It seems like 4 is the correct default value --- validate.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/validate.py b/validate.py index dfefa5205c..794d1ae8f9 100755 --- a/validate.py +++ b/validate.py @@ -66,7 +66,7 @@ parser.add_argument('--model', '-m', metavar='NAME', default='dpn92', help='model architecture (default: dpn92)') parser.add_argument('-j', '--workers', default=4, type=int, metavar='N', - help='number of data loading workers (default: 2)') + help='number of data loading workers (default: 4)') parser.add_argument('-b', '--batch-size', default=256, type=int, metavar='N', help='mini-batch size (default: 256)') parser.add_argument('--img-size', default=None, type=int, From 700aebcdc4b5d48520e45ca1e9eabb37656289e6 Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Fri, 2 Jun 2023 08:39:07 -0700 Subject: [PATCH 11/34] Fix Pytorch 2.0 breakage for Lookahead optimizer adapter --- timm/optim/lookahead.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/timm/optim/lookahead.py b/timm/optim/lookahead.py index 462c3acd24..1c0f1c91d8 100644 --- a/timm/optim/lookahead.py +++ b/timm/optim/lookahead.py @@ -4,6 +4,9 @@ Hacked together by / Copyright 2020 Ross Wightman """ +from collections import OrderedDict +from typing import Callable, Dict + import torch from torch.optim.optimizer import Optimizer from collections import defaultdict @@ -12,6 +15,8 @@ class Lookahead(Optimizer): def __init__(self, base_optimizer, alpha=0.5, k=6): # NOTE super().__init__() not called on purpose + self._optimizer_step_pre_hooks: Dict[int, Callable] = OrderedDict() + self._optimizer_step_post_hooks: Dict[int, Callable] = OrderedDict() if not 0.0 <= alpha <= 1.0: raise ValueError(f'Invalid slow update rate: {alpha}') if not 1 <= k: From 3ebbe172ecbb4b5bf62dfe51a371672eaabc2c3e Mon Sep 17 00:00:00 2001 From: Mishig Date: Fri, 9 Jun 2023 10:47:32 +0200 Subject: [PATCH 12/34] [doc build] Use secrets --- .github/workflows/build_documentation.yml | 4 ++-- .github/workflows/build_pr_documentation.yml | 1 - .github/workflows/delete_doc_comment.yml | 14 +++++++------- .github/workflows/delete_doc_comment_trigger.yml | 12 ++++++++++++ .github/workflows/upload_pr_documentation.yml | 16 ++++++++++++++++ 5 files changed, 37 insertions(+), 10 deletions(-) create mode 100644 .github/workflows/delete_doc_comment_trigger.yml create mode 100644 .github/workflows/upload_pr_documentation.yml diff --git a/.github/workflows/build_documentation.yml b/.github/workflows/build_documentation.yml index 167b7d610b..b4ef7415c7 100644 --- a/.github/workflows/build_documentation.yml +++ b/.github/workflows/build_documentation.yml @@ -14,8 +14,8 @@ jobs: commit_sha: ${{ github.sha }} package: pytorch-image-models package_name: timm - repo_owner: rwightman path_to_docs: pytorch-image-models/hfdocs/source version_tag_suffix: "" secrets: - token: ${{ secrets.HUGGINGFACE_PUSH }} \ No newline at end of file + token: ${{ secrets.HUGGINGFACE_PUSH }} + hf_token: ${{ secrets.HF_DOC_BUILD_PUSH }} \ No newline at end of file diff --git a/.github/workflows/build_pr_documentation.yml b/.github/workflows/build_pr_documentation.yml index 2b44619f69..058d06141f 100644 --- a/.github/workflows/build_pr_documentation.yml +++ b/.github/workflows/build_pr_documentation.yml @@ -15,6 +15,5 @@ jobs: pr_number: ${{ github.event.number }} package: pytorch-image-models package_name: timm - repo_owner: rwightman path_to_docs: pytorch-image-models/hfdocs/source version_tag_suffix: "" diff --git a/.github/workflows/delete_doc_comment.yml b/.github/workflows/delete_doc_comment.yml index c05e94c5fb..72801c856e 100644 --- a/.github/workflows/delete_doc_comment.yml +++ b/.github/workflows/delete_doc_comment.yml @@ -1,13 +1,13 @@ -name: Delete dev documentation +name: Delete doc comment on: - pull_request: - types: [ closed ] - + workflow_run: + workflows: ["Delete doc comment trigger"] + types: + - completed jobs: delete: uses: huggingface/doc-builder/.github/workflows/delete_doc_comment.yml@main - with: - pr_number: ${{ github.event.number }} - package: timm \ No newline at end of file + secrets: + comment_bot_token: ${{ secrets.COMMENT_BOT_TOKEN }} \ No newline at end of file diff --git a/.github/workflows/delete_doc_comment_trigger.yml b/.github/workflows/delete_doc_comment_trigger.yml new file mode 100644 index 0000000000..5e39e25397 --- /dev/null +++ b/.github/workflows/delete_doc_comment_trigger.yml @@ -0,0 +1,12 @@ +name: Delete doc comment trigger + +on: + pull_request: + types: [ closed ] + + +jobs: + delete: + uses: huggingface/doc-builder/.github/workflows/delete_doc_comment_trigger.yml@main + with: + pr_number: ${{ github.event.number }} \ No newline at end of file diff --git a/.github/workflows/upload_pr_documentation.yml b/.github/workflows/upload_pr_documentation.yml new file mode 100644 index 0000000000..237ae8eae4 --- /dev/null +++ b/.github/workflows/upload_pr_documentation.yml @@ -0,0 +1,16 @@ +name: Upload PR Documentation + +on: + workflow_run: + workflows: ["Build PR Documentation"] + types: + - completed + +jobs: + build: + uses: huggingface/doc-builder/.github/workflows/upload_pr_documentation.yml@main + with: + package_name: timm + secrets: + hf_token: ${{ secrets.HF_DOC_BUILD_PUSH }} + comment_bot_token: ${{ secrets.COMMENT_BOT_TOKEN }} \ No newline at end of file From dab0360e00b3d0b62bae0cfa0519d1a13b9d4889 Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Tue, 13 Jun 2023 20:43:44 -0700 Subject: [PATCH 13/34] Add NadamW based on mlcommons algorithm, added multi-tensor step --- timm/optim/nadam.py | 7 ++++++- timm/optim/optim_factory.py | 3 +++ 2 files changed, 9 insertions(+), 1 deletion(-) diff --git a/timm/optim/nadam.py b/timm/optim/nadam.py index 6268d5d451..4e911420ef 100644 --- a/timm/optim/nadam.py +++ b/timm/optim/nadam.py @@ -32,7 +32,12 @@ def __init__(self, params, lr=2e-3, betas=(0.9, 0.999), eps=1e-8, if not 0.0 <= lr: raise ValueError("Invalid learning rate: {}".format(lr)) defaults = dict( - lr=lr, betas=betas, eps=eps, weight_decay=weight_decay, schedule_decay=schedule_decay) + lr=lr, + betas=betas, + eps=eps, + weight_decay=weight_decay, + schedule_decay=schedule_decay, + ) super(Nadam, self).__init__(params, defaults) @torch.no_grad() diff --git a/timm/optim/optim_factory.py b/timm/optim/optim_factory.py index d8702a12f9..af316deebc 100644 --- a/timm/optim/optim_factory.py +++ b/timm/optim/optim_factory.py @@ -22,6 +22,7 @@ from .lookahead import Lookahead from .madgrad import MADGRAD from .nadam import Nadam +from .nadamw import NAdamW from .nvnovograd import NvNovoGrad from .radam import RAdam from .rmsprop_tf import RMSpropTF @@ -301,6 +302,8 @@ def create_optimizer_v2( optimizer = optim.Nadam(parameters, **opt_args) except AttributeError: optimizer = Nadam(parameters, **opt_args) + elif opt_lower == 'nadamw': + optimizer = NAdamW(parameters, **opt_args) elif opt_lower == 'radam': optimizer = RAdam(parameters, **opt_args) elif opt_lower == 'adamax': From 4790c0fa16bc78dc90c0bfcdc983c8dd8a06a16f Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Tue, 13 Jun 2023 20:45:58 -0700 Subject: [PATCH 14/34] Missed nadamw.py --- timm/optim/nadamw.py | 344 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 344 insertions(+) create mode 100644 timm/optim/nadamw.py diff --git a/timm/optim/nadamw.py b/timm/optim/nadamw.py new file mode 100644 index 0000000000..1360f2cac5 --- /dev/null +++ b/timm/optim/nadamw.py @@ -0,0 +1,344 @@ +""" NAdamW Optimizer + +Based on simplified algorithm in https://github.com/mlcommons/algorithmic-efficiency/tree/main/baselines/nadamw + +Added multi-tensor (foreach) path. +""" +import math +from typing import List, Optional + +import torch +from torch import Tensor + + +# Modified from github.com/pytorch/pytorch/blob/v1.12.1/torch/optim/adamw.py. +class NAdamW(torch.optim.Optimizer): + r"""Implements NAdamW algorithm. + + See Table 1 in https://arxiv.org/abs/1910.05446 for the implementation of + the NAdam algorithm (there is also a comment in the code which highlights + the only difference of NAdamW and AdamW). + For further details regarding the algorithm we refer to + `Decoupled Weight Decay Regularization`_. + + Args: + params (iterable): iterable of parameters to optimize or dicts defining + parameter groups + lr (float, optional): learning rate (default: 1e-3) + betas (Tuple[float, float], optional): coefficients used for computing + running averages of gradient and its square (default: (0.9, 0.999)) + eps (float, optional): term added to the denominator to improve + numerical stability (default: 1e-8) + weight_decay (float, optional): weight decay coefficient (default: 1e-2) + .. _Decoupled Weight Decay Regularization: + https://arxiv.org/abs/1711.05101 + .. _On the Convergence of Adam and Beyond: + https://openreview.net/forum?id=ryQu7f-RZ + """ + + def __init__( + self, + params, + lr=1e-3, + betas=(0.9, 0.999), + eps=1e-8, + weight_decay=1e-2, + maximize: bool = False, + foreach: Optional[bool] = None, + capturable: bool = False, + ): + if not 0.0 <= lr: + raise ValueError(f'Invalid learning rate: {lr}') + if not 0.0 <= eps: + raise ValueError(f'Invalid epsilon value: {eps}') + if not 0.0 <= betas[0] < 1.0: + raise ValueError(f'Invalid beta parameter at index 0: {betas[0]}') + if not 0.0 <= betas[1] < 1.0: + raise ValueError(f'Invalid beta parameter at index 1: {betas[1]}') + if not 0.0 <= weight_decay: + raise ValueError(f'Invalid weight_decay value: {weight_decay}') + defaults = dict( + lr=lr, + betas=betas, + eps=eps, + weight_decay=weight_decay, + foreach=foreach, + maximize=maximize, + capturable=capturable, + ) + super().__init__(params, defaults) + + def __setstate__(self, state): + super().__setstate__(state) + state_values = list(self.state.values()) + step_is_tensor = (len(state_values) != 0) and torch.is_tensor( + state_values[0]['step']) + if not step_is_tensor: + for s in state_values: + s['step'] = torch.tensor(float(s['step'])) + + @torch.no_grad() + def step(self, closure=None): + """Performs a single optimization step. + + Args: + closure (callable, optional): A closure that reevaluates the model + and returns the loss. + """ + self._cuda_graph_capture_health_check() + + loss = None + if closure is not None: + with torch.enable_grad(): + loss = closure() + + for group in self.param_groups: + params_with_grad = [] + grads = [] + exp_avgs = [] + exp_avg_sqs = [] + state_steps = [] + beta1, beta2 = group['betas'] + + for p in group['params']: + if p.grad is None: + continue + params_with_grad.append(p) + if p.grad.is_sparse: + raise RuntimeError('NAdamW does not support sparse gradients') + grads.append(p.grad) + + state = self.state[p] + + # State initialization + if len(state) == 0: + state['step'] = torch.tensor(0.) + # Exponential moving average of gradient values + state['exp_avg'] = torch.zeros_like(p, memory_format=torch.preserve_format) + # Exponential moving average of squared gradient values + state['exp_avg_sq'] = torch.zeros_like(p, memory_format=torch.preserve_format) + + exp_avgs.append(state['exp_avg']) + exp_avg_sqs.append(state['exp_avg_sq']) + state_steps.append(state['step']) + + nadamw( + params_with_grad, + grads, + exp_avgs, + exp_avg_sqs, + state_steps, + beta1=beta1, + beta2=beta2, + lr=group['lr'], + weight_decay=group['weight_decay'], + eps=group['eps'], + maximize=group['maximize'], + capturable=group['capturable'], + ) + + return loss + + +def nadamw( + params: List[Tensor], + grads: List[Tensor], + exp_avgs: List[Tensor], + exp_avg_sqs: List[Tensor], + state_steps: List[Tensor], + foreach: Optional[bool] = None, + capturable: bool = False, + *, + beta1: float, + beta2: float, + lr: float, + weight_decay: float, + eps: float, + maximize: bool, +) -> None: + r"""Functional API that performs NAdamW algorithm computation. + See NAdamW class for details. + """ + + if not all(isinstance(t, torch.Tensor) for t in state_steps): + raise RuntimeError( + 'API has changed, `state_steps` argument must contain a list of' + + ' singleton tensors') + + if foreach is None: + foreach = True + if foreach and not torch.jit.is_scripting(): + func = _multi_tensor_nadamw + else: + func = _single_tensor_nadamw + + func( + params, + grads, + exp_avgs, + exp_avg_sqs, + state_steps, + beta1=beta1, + beta2=beta2, + lr=lr, + weight_decay=weight_decay, + eps=eps, + maximize=maximize, + capturable=capturable, + ) + + +def _single_tensor_nadamw( + params: List[Tensor], + grads: List[Tensor], + exp_avgs: List[Tensor], + exp_avg_sqs: List[Tensor], + state_steps: List[Tensor], + *, + beta1: float, + beta2: float, + lr: float, + weight_decay: float, + eps: float, + maximize: bool, + capturable: bool +): + + for i, param in enumerate(params): + grad = grads[i] if not maximize else -grads[i] + exp_avg = exp_avgs[i] + exp_avg_sq = exp_avg_sqs[i] + step_t = state_steps[i] + + # Update step. + step_t += 1 + + # Perform stepweight decay. + param.mul_(1. - lr * weight_decay) + + # Decay the first and second moment running average coefficient. + exp_avg.mul_(beta1).add_(grad, alpha=1 - beta1) + exp_avg_sq.mul_(beta2).addcmul_(grad, grad, value=1 - beta2) + + if capturable: + step = step_t + + # 1 - beta1 ** step can't be captured in a CUDA graph, even if step is a CUDA tensor + # (incurs "RuntimeError: CUDA error: operation not permitted when stream is capturing") + bias_correction1 = 1 - torch.pow(beta1, step) + bias_correction2 = 1 - torch.pow(beta2, step) + + step_size = lr / bias_correction1 + step_size_neg = step_size.neg() + + bias_correction2_sqrt = bias_correction2.sqrt() + + # Only difference between NAdamW and AdamW in this implementation. + # The official PyTorch implementation of NAdam uses a different algorithm. + exp_avg = exp_avg.mul(beta1).add_(grad, alpha=1 - beta1) + + denom = (exp_avg_sq.sqrt() / (bias_correction2_sqrt * step_size_neg)).add_(eps / step_size_neg) + param.addcdiv_(exp_avg, denom) + else: + step = step_t.item() + bias_correction1 = 1 - beta1 ** step + bias_correction2 = 1 - beta2 ** step + step_size = lr / bias_correction1 + bias_correction2_sqrt = math.sqrt(bias_correction2) + + # Only difference between NAdamW and AdamW in this implementation. + # The official PyTorch implementation of NAdam uses a different algorithm. + exp_avg = exp_avg.mul(beta1).add_(grad, alpha=1 - beta1) + + denom = (exp_avg_sq.sqrt() / bias_correction2_sqrt).add_(eps) + param.addcdiv_(exp_avg, denom, value=-step_size) + + +def _multi_tensor_nadamw( + params: List[Tensor], + grads: List[Tensor], + exp_avgs: List[Tensor], + exp_avg_sqs: List[Tensor], + state_steps: List[Tensor], + *, + beta1: float, + beta2: float, + lr: float, + weight_decay: float, + eps: float, + maximize: bool, + capturable: bool, +): + if len(params) == 0: + return + + if capturable: + assert all( + p.is_cuda and step.is_cuda for p, step in zip(params, state_steps) + ), "If capturable=True, params and state_steps must be CUDA tensors." + + if maximize: + grads = torch._foreach_neg(tuple(grads)) # type: ignore[assignment] + + grads = [torch.view_as_real(x) if torch.is_complex(x) else x for x in grads] + exp_avgs = [torch.view_as_real(x) if torch.is_complex(x) else x for x in exp_avgs] + exp_avg_sqs = [torch.view_as_real(x) if torch.is_complex(x) else x for x in exp_avg_sqs] + params = [torch.view_as_real(x) if torch.is_complex(x) else x for x in params] + + # update steps + torch._foreach_add_(state_steps, 1) + + # Perform stepweight decay + torch._foreach_mul_(params, 1 - lr * weight_decay) + + # Decay the first and second moment running average coefficient + torch._foreach_mul_(exp_avgs, beta1) + torch._foreach_add_(exp_avgs, grads, alpha=1 - beta1) + + torch._foreach_mul_(exp_avg_sqs, beta2) + torch._foreach_addcmul_(exp_avg_sqs, grads, grads, 1 - beta2) + + if capturable: + # TODO: use foreach_pow if/when foreach_pow is added + bias_correction1 = [torch.pow(beta1, step) for step in state_steps] + bias_correction2 = [torch.pow(beta2, step) for step in state_steps] + # foreach_sub doesn't allow a scalar as the first arg + torch._foreach_sub_(bias_correction1, 1) + torch._foreach_sub_(bias_correction2, 1) + torch._foreach_neg_(bias_correction1) + torch._foreach_neg_(bias_correction2) + + # foreach_div doesn't allow a scalar as the first arg + step_size = torch._foreach_div(bias_correction1, lr) + torch._foreach_reciprocal_(step_size) + torch._foreach_neg_(step_size) + + bias_correction2_sqrt = torch._foreach_sqrt(bias_correction2) + + exp_avg_sq_sqrt = torch._foreach_sqrt(exp_avg_sqs) + torch._foreach_div_( + exp_avg_sq_sqrt, torch._foreach_mul(bias_correction2_sqrt, step_size) + ) + eps_over_step_size = torch._foreach_div(step_size, eps) + torch._foreach_reciprocal_(eps_over_step_size) + denom = torch._foreach_add(exp_avg_sq_sqrt, eps_over_step_size) + + torch._foreach_addcdiv_(params, exp_avgs, denom) + else: + bias_correction1 = [1 - beta1 ** step.item() for step in state_steps] + bias_correction2 = [1 - beta2 ** step.item() for step in state_steps] + + step_size = [(lr / bc) * -1 for bc in bias_correction1] + + bias_correction2_sqrt = [math.sqrt(bc) for bc in bias_correction2] + + # Only difference between NAdamW and AdamW in this implementation. + # The official PyTorch implementation of NAdam uses a different algorithm. + exp_avgs = torch._foreach_mul(exp_avgs, beta1) + torch._foreach_add_(exp_avgs, grads, alpha=1 - beta1) + + exp_avg_sq_sqrt = torch._foreach_sqrt(exp_avg_sqs) + torch._foreach_div_(exp_avg_sq_sqrt, bias_correction2_sqrt) + denom = torch._foreach_add(exp_avg_sq_sqrt, eps) + + torch._foreach_addcdiv_(params, exp_avgs, denom, step_size) From 2d597b126db04b44d96514c81756af87e8187ca8 Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Tue, 13 Jun 2023 20:51:31 -0700 Subject: [PATCH 15/34] Missed extra nadam algo step for capturable path --- timm/optim/nadamw.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/timm/optim/nadamw.py b/timm/optim/nadamw.py index 1360f2cac5..c823f3d5b2 100644 --- a/timm/optim/nadamw.py +++ b/timm/optim/nadamw.py @@ -315,6 +315,11 @@ def _multi_tensor_nadamw( bias_correction2_sqrt = torch._foreach_sqrt(bias_correction2) + # Only difference between NAdamW and AdamW in this implementation. + # The official PyTorch implementation of NAdam uses a different algorithm. + exp_avgs = torch._foreach_mul(exp_avgs, beta1) + torch._foreach_add_(exp_avgs, grads, alpha=1 - beta1) + exp_avg_sq_sqrt = torch._foreach_sqrt(exp_avg_sqs) torch._foreach_div_( exp_avg_sq_sqrt, torch._foreach_mul(bias_correction2_sqrt, step_size) From c3f24a5ae566a7e86619580e3432ed81f4500512 Mon Sep 17 00:00:00 2001 From: SeeFun Date: Wed, 14 Jun 2023 22:30:31 +0800 Subject: [PATCH 16/34] =?UTF-8?q?=E2=80=98add=20ViT=20weight=20from=20I-JE?= =?UTF-8?q?PA=20pretrain=E2=80=99?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- timm/models/vision_transformer.py | 61 ++++++++++++++++++++++++++- timm/models/vision_transformer_sam.py | 3 -- 2 files changed, 60 insertions(+), 4 deletions(-) diff --git a/timm/models/vision_transformer.py b/timm/models/vision_transformer.py index b4f15cb8ba..c072f13a91 100644 --- a/timm/models/vision_transformer.py +++ b/timm/models/vision_transformer.py @@ -879,6 +879,17 @@ def _convert_dinov2(state_dict, model): return out_dict +def _convert_ijepa(state_dict, model): + out_dict = {} + for k, v in state_dict['encoder'].items(): + if k.startswith('module.'): + k = k[7:] + if k.startswith('norm.'): + k = 'fc_norm.' + k[5:] + out_dict[k] = v + return out_dict + + def checkpoint_filter_fn( state_dict, model, @@ -896,7 +907,10 @@ def checkpoint_filter_fn( return _convert_openai_clip(state_dict, model) if "mask_token" in state_dict: - return _convert_dinov2(state_dict, model) + state_dict = _convert_dinov2(state_dict, model) + + if "encoder" in state_dict: + state_dict = _convert_ijepa(state_dict, model) for k, v in state_dict.items(): if 'patch_embed.proj.weight' in k: @@ -1437,6 +1451,27 @@ def _cfg(url='', **kwargs): hf_hub_id='timm/', license='cc-by-nc-4.0', mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0), + + 'vit_huge_patch14_224_ijepa.in1k': _cfg( + url='https://dl.fbaipublicfiles.com/ijepa/IN1K-vit.h.14-300e.pth.tar', + # hf_hub_id='timm/', + license='cc-by-nc-4.0', + mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0), + 'vit_huge_patch14_224_ijepa.in22k': _cfg( + url='https://dl.fbaipublicfiles.com/ijepa/IN22K-vit.h.14-900e.pth.tar', + # hf_hub_id='timm/', + license='cc-by-nc-4.0', + mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0), + 'vit_huge_patch16_448_ijepa.in1k': _cfg( + url='https://dl.fbaipublicfiles.com/ijepa/IN1K-vit.h.16-448px-300e.pth.tar', + # hf_hub_id='timm/', + license='cc-by-nc-4.0', + mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0), + 'vit_gigantic_patch16_224_ijepa.in22k': _cfg( + url='https://dl.fbaipublicfiles.com/ijepa/IN22K-vit.g.16-600e.pth.tar', + # hf_hub_id='timm/', + license='cc-by-nc-4.0', + mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0), }) @@ -2031,6 +2066,30 @@ def vit_giant_patch14_dinov2(pretrained=False, **kwargs) -> VisionTransformer: 'vit_giant_patch14_dinov2', pretrained=pretrained, **dict(model_args, **kwargs)) return model +@register_model +def vit_huge_patch14_224_ijepa(pretrained=False, **kwargs) -> VisionTransformer: + """ ViT-Huge model (ViT-H/14) from `I-JEPA` - https://arxiv.org/abs/2301.08243 + """ + model_args = dict(patch_size=14, embed_dim=1280, depth=32, num_heads=16, class_token=False, global_pool='avg') + model = _create_vision_transformer('vit_huge_patch14_224_ijepa', pretrained=pretrained, **dict(model_args, **kwargs)) + return model + +@register_model +def vit_huge_patch16_448_ijepa(pretrained=False, **kwargs) -> VisionTransformer: + """ ViT-Huge model (ViT-H/16) from `I-JEPA` - https://arxiv.org/abs/2301.08243 + """ + model_args = dict(patch_size=16, embed_dim=1280, depth=32, num_heads=16, class_token=False, global_pool='avg', img_size=448) + model = _create_vision_transformer('vit_huge_patch16_448_ijepa', pretrained=pretrained, **dict(model_args, **kwargs)) + return model + +@register_model +def vit_gigantic_patch16_224_ijepa(pretrained=False, **kwargs) -> VisionTransformer: + """ ViT-Gigantic (big-G) model (ViT-G/16) from `I-JEPA - https://arxiv.org/abs/2301.08243 + """ + model_args = dict(patch_size=16, embed_dim=1664, mlp_ratio=64/13, depth=48, num_heads=16) + model = _create_vision_transformer( + 'vit_gigantic_patch16_224_ijepa', pretrained=pretrained, **dict(model_args, **kwargs)) + return model register_model_deprecations(__name__, { 'vit_tiny_patch16_224_in21k': 'vit_tiny_patch16_224.augreg_in21k', diff --git a/timm/models/vision_transformer_sam.py b/timm/models/vision_transformer_sam.py index c8a8c53f38..c561ea1b22 100644 --- a/timm/models/vision_transformer_sam.py +++ b/timm/models/vision_transformer_sam.py @@ -605,6 +605,3 @@ def samvit_huge_patch16(pretrained=False, **kwargs) -> VisionTransformerSAM: model = _create_vision_transformer( 'samvit_huge_patch16', pretrained=pretrained, **dict(model_args, **kwargs)) return model - -# TODO: -# support any input size, now only 1024 x 1024 (pretrained) From a09c88ed0f9f085b2d0bebba9a3bb8814a728ced Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Wed, 14 Jun 2023 12:57:39 -0700 Subject: [PATCH 17/34] Support other features only modes for EfficientNet --- timm/models/_efficientnet_builder.py | 6 ++++-- timm/models/efficientnet.py | 13 +++++++++---- 2 files changed, 13 insertions(+), 6 deletions(-) diff --git a/timm/models/_efficientnet_builder.py b/timm/models/_efficientnet_builder.py index e6cd05ae2e..14eb70f174 100644 --- a/timm/models/_efficientnet_builder.py +++ b/timm/models/_efficientnet_builder.py @@ -419,9 +419,11 @@ def __call__(self, in_chs, model_block_args): if extract_features: feature_info = dict( stage=stack_idx + 1, reduction=current_stride, **block.feature_info(self.feature_location)) - module_name = f'blocks.{stack_idx}.{block_idx}' leaf_name = feature_info.get('module', '') - feature_info['module'] = '.'.join([module_name, leaf_name]) if leaf_name else module_name + if leaf_name: + feature_info['module'] = '.'.join([f'blocks.{stack_idx}.{block_idx}', leaf_name]) + else: + feature_info['module'] = f'blocks.{stack_idx}' self.features.append(feature_info) total_block_idx += 1 # incr global block idx (across all stacks) diff --git a/timm/models/efficientnet.py b/timm/models/efficientnet.py index 1854bc3058..af77d7ec0c 100644 --- a/timm/models/efficientnet.py +++ b/timm/models/efficientnet.py @@ -269,15 +269,20 @@ def forward(self, x) -> List[torch.Tensor]: def _create_effnet(variant, pretrained=False, **kwargs): features_only = False + features_cls = False model_cls = EfficientNet kwargs_filter = None if kwargs.pop('features_only', False): - features_only = True - kwargs_filter = ('num_classes', 'num_features', 'head_conv', 'global_pool') - model_cls = EfficientNetFeatures + if 'feature_cfg' not in kwargs: + kwargs_filter = ('num_classes', 'num_features', 'head_conv', 'global_pool') + model_cls = EfficientNetFeatures + features_cls = True + else: + features_only = True model = build_model_with_cfg( model_cls, variant, pretrained, - pretrained_strict=not features_only, + features_only=features_only, + pretrained_strict=not features_cls, kwargs_filter=kwargs_filter, **kwargs) if features_only: From 47517dbefd667be166b4044e0b9d3b8451576168 Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Wed, 14 Jun 2023 14:46:22 -0700 Subject: [PATCH 18/34] Clean more feature extract issues * EfficientNet/MobileNetV3/HRNetFeatures cls and FX mode support -ve index * MobileNetV3 allows feature_cfg mode to bypass MobileNetV3Features --- timm/models/_efficientnet_blocks.py | 8 ++++---- timm/models/_efficientnet_builder.py | 10 ++++++---- timm/models/_features.py | 3 ++- timm/models/_features_fx.py | 6 ++---- timm/models/efficientnet.py | 29 +++++++++++++++------------- timm/models/hrnet.py | 2 +- timm/models/mobilenetv3.py | 22 +++++++++++++-------- 7 files changed, 45 insertions(+), 35 deletions(-) diff --git a/timm/models/_efficientnet_blocks.py b/timm/models/_efficientnet_blocks.py index 92b849e461..a5a6f30b79 100644 --- a/timm/models/_efficientnet_blocks.py +++ b/timm/models/_efficientnet_blocks.py @@ -75,7 +75,7 @@ def feature_info(self, location): if location == 'expansion': # output of conv after act, same as block coutput return dict(module='bn1', hook_type='forward', num_chs=self.conv.out_channels) else: # location == 'bottleneck', block output - return dict(module='', hook_type='', num_chs=self.conv.out_channels) + return dict(module='', num_chs=self.conv.out_channels) def forward(self, x): shortcut = x @@ -116,7 +116,7 @@ def feature_info(self, location): if location == 'expansion': # after SE, input to PW return dict(module='conv_pw', hook_type='forward_pre', num_chs=self.conv_pw.in_channels) else: # location == 'bottleneck', block output - return dict(module='', hook_type='', num_chs=self.conv_pw.out_channels) + return dict(module='', num_chs=self.conv_pw.out_channels) def forward(self, x): shortcut = x @@ -173,7 +173,7 @@ def feature_info(self, location): if location == 'expansion': # after SE, input to PWL return dict(module='conv_pwl', hook_type='forward_pre', num_chs=self.conv_pwl.in_channels) else: # location == 'bottleneck', block output - return dict(module='', hook_type='', num_chs=self.conv_pwl.out_channels) + return dict(module='', num_chs=self.conv_pwl.out_channels) def forward(self, x): shortcut = x @@ -266,7 +266,7 @@ def feature_info(self, location): if location == 'expansion': # after SE, before PWL return dict(module='conv_pwl', hook_type='forward_pre', num_chs=self.conv_pwl.in_channels) else: # location == 'bottleneck', block output - return dict(module='', hook_type='', num_chs=self.conv_pwl.out_channels) + return dict(module='', num_chs=self.conv_pwl.out_channels) def forward(self, x): shortcut = x diff --git a/timm/models/_efficientnet_builder.py b/timm/models/_efficientnet_builder.py index 14eb70f174..b5dbeaae3a 100644 --- a/timm/models/_efficientnet_builder.py +++ b/timm/models/_efficientnet_builder.py @@ -370,9 +370,7 @@ def __call__(self, in_chs, model_block_args): stages = [] if model_block_args[0][0]['stride'] > 1: # if the first block starts with a stride, we need to extract first level feat from stem - feature_info = dict( - module='act1', num_chs=in_chs, stage=0, reduction=current_stride, - hook_type='forward' if self.feature_location != 'bottleneck' else '') + feature_info = dict(module='bn1', num_chs=in_chs, stage=0, reduction=current_stride) self.features.append(feature_info) # outer list of block_args defines the stacks @@ -418,11 +416,15 @@ def __call__(self, in_chs, model_block_args): # stash feature module name and channel info for model feature extraction if extract_features: feature_info = dict( - stage=stack_idx + 1, reduction=current_stride, **block.feature_info(self.feature_location)) + stage=stack_idx + 1, + reduction=current_stride, + **block.feature_info(self.feature_location), + ) leaf_name = feature_info.get('module', '') if leaf_name: feature_info['module'] = '.'.join([f'blocks.{stack_idx}.{block_idx}', leaf_name]) else: + assert last_block feature_info['module'] = f'blocks.{stack_idx}' self.features.append(feature_info) diff --git a/timm/models/_features.py b/timm/models/_features.py index 7924453638..7ef51809bc 100644 --- a/timm/models/_features.py +++ b/timm/models/_features.py @@ -27,12 +27,13 @@ class FeatureInfo: def __init__(self, feature_info: List[Dict], out_indices: Tuple[int]): prev_reduction = 1 - for fi in feature_info: + for i, fi in enumerate(feature_info): # sanity check the mandatory fields, there may be additional fields depending on the model assert 'num_chs' in fi and fi['num_chs'] > 0 assert 'reduction' in fi and fi['reduction'] >= prev_reduction prev_reduction = fi['reduction'] assert 'module' in fi + fi.setdefault('index', i) self.out_indices = out_indices self.info = feature_info diff --git a/timm/models/_features_fx.py b/timm/models/_features_fx.py index c894d66c85..b84312a739 100644 --- a/timm/models/_features_fx.py +++ b/timm/models/_features_fx.py @@ -6,7 +6,7 @@ import torch from torch import nn -from ._features import _get_feature_info +from ._features import _get_feature_info, _get_return_layers try: from torchvision.models.feature_extraction import create_feature_extractor as _create_feature_extractor @@ -93,9 +93,7 @@ def __init__(self, model, out_indices, out_map=None): self.feature_info = _get_feature_info(model, out_indices) if out_map is not None: assert len(out_map) == len(out_indices) - return_nodes = { - info['module']: out_map[i] if out_map is not None else info['module'] - for i, info in enumerate(self.feature_info) if i in out_indices} + return_nodes = _get_return_layers(self.feature_info, out_map) self.graph_module = create_feature_extractor(model, return_nodes) def forward(self, x): diff --git a/timm/models/efficientnet.py b/timm/models/efficientnet.py index af77d7ec0c..905f8b7596 100644 --- a/timm/models/efficientnet.py +++ b/timm/models/efficientnet.py @@ -232,7 +232,7 @@ def __init__( ) self.blocks = nn.Sequential(*builder(stem_size, block_args)) self.feature_info = FeatureInfo(builder.features, out_indices) - self._stage_out_idx = {v['stage']: i for i, v in enumerate(self.feature_info) if i in out_indices} + self._stage_out_idx = {f['stage']: f['index'] for f in self.feature_info.get_dicts()} efficientnet_init_weights(self) @@ -268,25 +268,28 @@ def forward(self, x) -> List[torch.Tensor]: def _create_effnet(variant, pretrained=False, **kwargs): - features_only = False - features_cls = False + features_mode = '' model_cls = EfficientNet kwargs_filter = None if kwargs.pop('features_only', False): - if 'feature_cfg' not in kwargs: + if 'feature_cfg' in kwargs: + features_mode = 'cfg' + else: kwargs_filter = ('num_classes', 'num_features', 'head_conv', 'global_pool') model_cls = EfficientNetFeatures - features_cls = True - else: - features_only = True + features_mode = 'cls' + model = build_model_with_cfg( - model_cls, variant, pretrained, - features_only=features_only, - pretrained_strict=not features_cls, + model_cls, + variant, + pretrained, + features_only=features_mode == 'cfg', + pretrained_strict=features_mode != 'cls', kwargs_filter=kwargs_filter, - **kwargs) - if features_only: - model.default_cfg = pretrained_cfg_for_features(model.default_cfg) + **kwargs, + ) + if features_mode == 'cls': + model.pretrained_cfg = model.default_cfg = pretrained_cfg_for_features(model.pretrained_cfg) return model diff --git a/timm/models/hrnet.py b/timm/models/hrnet.py index 4a6fd80eaa..e56a550936 100644 --- a/timm/models/hrnet.py +++ b/timm/models/hrnet.py @@ -829,7 +829,7 @@ def __init__( **kwargs, ) self.feature_info = FeatureInfo(self.feature_info, out_indices) - self._out_idx = {i for i in out_indices} + self._out_idx = {f['index'] for f in self.feature_info.get_dicts()} def forward_features(self, x): assert False, 'Not supported' diff --git a/timm/models/mobilenetv3.py b/timm/models/mobilenetv3.py index 70087b62fa..8de94f7e26 100644 --- a/timm/models/mobilenetv3.py +++ b/timm/models/mobilenetv3.py @@ -210,7 +210,7 @@ def __init__( ) self.blocks = nn.Sequential(*builder(stem_size, block_args)) self.feature_info = FeatureInfo(builder.features, out_indices) - self._stage_out_idx = {v['stage']: i for i, v in enumerate(self.feature_info) if i in out_indices} + self._stage_out_idx = {f['stage']: f['index'] for f in self.feature_info.get_dicts()} efficientnet_init_weights(self) @@ -247,21 +247,27 @@ def forward(self, x) -> List[torch.Tensor]: def _create_mnv3(variant, pretrained=False, **kwargs): - features_only = False + features_mode = '' model_cls = MobileNetV3 kwargs_filter = None if kwargs.pop('features_only', False): - features_only = True - kwargs_filter = ('num_classes', 'num_features', 'head_conv', 'head_bias', 'global_pool') - model_cls = MobileNetV3Features + if 'feature_cfg' in kwargs: + features_mode = 'cfg' + else: + kwargs_filter = ('num_classes', 'num_features', 'head_conv', 'head_bias', 'global_pool') + model_cls = MobileNetV3Features + features_mode = 'cls' + model = build_model_with_cfg( model_cls, variant, pretrained, - pretrained_strict=not features_only, + features_only=features_mode == 'cfg', + pretrained_strict=features_mode != 'cls', kwargs_filter=kwargs_filter, - **kwargs) - if features_only: + **kwargs, + ) + if features_mode == 'cls': model.default_cfg = pretrained_cfg_for_features(model.default_cfg) return model From 158bf129c4a27c4f406c10d008efbeef5b5b71df Mon Sep 17 00:00:00 2001 From: Ruslan Baikulov Date: Mon, 3 Jul 2023 22:24:25 +0300 Subject: [PATCH 19/34] Replace deprecated NumPy aliases of builtin types --- timm/data/mixup.py | 4 ++-- timm/models/volo.py | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/timm/data/mixup.py b/timm/data/mixup.py index be0bae36c8..26dc239152 100644 --- a/timm/data/mixup.py +++ b/timm/data/mixup.py @@ -120,7 +120,7 @@ def __init__(self, mixup_alpha=1., cutmix_alpha=0., cutmix_minmax=None, prob=1.0 def _params_per_elem(self, batch_size): lam = np.ones(batch_size, dtype=np.float32) - use_cutmix = np.zeros(batch_size, dtype=np.bool) + use_cutmix = np.zeros(batch_size, dtype=bool) if self.mixup_enabled: if self.mixup_alpha > 0. and self.cutmix_alpha > 0.: use_cutmix = np.random.rand(batch_size) < self.switch_prob @@ -131,7 +131,7 @@ def _params_per_elem(self, batch_size): elif self.mixup_alpha > 0.: lam_mix = np.random.beta(self.mixup_alpha, self.mixup_alpha, size=batch_size) elif self.cutmix_alpha > 0.: - use_cutmix = np.ones(batch_size, dtype=np.bool) + use_cutmix = np.ones(batch_size, dtype=bool) lam_mix = np.random.beta(self.cutmix_alpha, self.cutmix_alpha, size=batch_size) else: assert False, "One of mixup_alpha > 0., cutmix_alpha > 0., cutmix_minmax not None should be true." diff --git a/timm/models/volo.py b/timm/models/volo.py index 9401d84b9e..260cd20dcc 100644 --- a/timm/models/volo.py +++ b/timm/models/volo.py @@ -301,8 +301,8 @@ def rand_bbox(size, lam, scale=1): W = size[1] // scale H = size[2] // scale cut_rat = np.sqrt(1. - lam) - cut_w = np.int(W * cut_rat) - cut_h = np.int(H * cut_rat) + cut_w = (W * cut_rat).astype(int) + cut_h = (H * cut_rat).astype(int) # uniform cx = np.random.randint(W) From 3318e7614dd330e1d84b7143c7ea745e97c54f56 Mon Sep 17 00:00:00 2001 From: jameslahm <1366463855@qq.com> Date: Wed, 19 Jul 2023 19:24:33 +0800 Subject: [PATCH 20/34] Add RepViT models --- timm/models/__init__.py | 1 + timm/models/repvit.py | 404 ++++++++++++++++++++++++++++++++++++++++ 2 files changed, 405 insertions(+) create mode 100644 timm/models/repvit.py diff --git a/timm/models/__init__.py b/timm/models/__init__.py index 8f56b5f156..f308a580b8 100644 --- a/timm/models/__init__.py +++ b/timm/models/__init__.py @@ -40,6 +40,7 @@ from .pnasnet import * from .pvt_v2 import * from .regnet import * +from .repvit import * from .res2net import * from .resnest import * from .resnet import * diff --git a/timm/models/repvit.py b/timm/models/repvit.py new file mode 100644 index 0000000000..e5e32880a6 --- /dev/null +++ b/timm/models/repvit.py @@ -0,0 +1,404 @@ +""" RepViT + +Paper: `RepViT: Revisiting Mobile CNN From ViT Perspective` + - https://arxiv.org/abs/2307.09283 + +@misc{wang2023repvit, + title={RepViT: Revisiting Mobile CNN From ViT Perspective}, + author={Ao Wang and Hui Chen and Zijia Lin and Hengjun Pu and Guiguang Ding}, + year={2023}, + eprint={2307.09283}, + archivePrefix={arXiv}, + primaryClass={cs.CV} +} + +Adapted from official impl at https://github.com/jameslahm/RepViT +""" + +__all__ = ['RepViT'] + +import torch.nn as nn +from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD +from ._registry import register_model, generate_default_cfgs +from ._builder import build_model_with_cfg +from timm.layers import SqueezeExcite, trunc_normal_, to_ntuple, to_2tuple +from ._manipulate import checkpoint_seq + +import torch + + +class ConvNorm(nn.Sequential): + def __init__(self, in_dim, out_dim, ks=1, stride=1, pad=0, dilation=1, groups=1, bn_weight_init=1): + super().__init__() + self.add_module('c', nn.Conv2d(in_dim, out_dim, ks, stride, pad, dilation, groups, bias=False)) + self.add_module('bn', nn.BatchNorm2d(out_dim)) + nn.init.constant_(self.bn.weight, bn_weight_init) + nn.init.constant_(self.bn.bias, 0) + + @torch.no_grad() + def fuse(self): + c, bn = self._modules.values() + w = bn.weight / (bn.running_var + bn.eps) ** 0.5 + w = c.weight * w[:, None, None, None] + b = bn.bias - bn.running_mean * bn.weight / (bn.running_var + bn.eps) ** 0.5 + m = nn.Conv2d( + w.size(1) * self.c.groups, + w.size(0), + w.shape[2:], + stride=self.c.stride, + padding=self.c.padding, + dilation=self.c.dilation, + groups=self.c.groups, + device=c.weight.device, + ) + m.weight.data.copy_(w) + m.bias.data.copy_(b) + return m + + +class NormLinear(nn.Sequential): + def __init__(self, in_dim, out_dim, bias=True, std=0.02): + super().__init__() + self.add_module('bn', nn.BatchNorm1d(in_dim)) + self.add_module('l', nn.Linear(in_dim, out_dim, bias=bias)) + trunc_normal_(self.l.weight, std=std) + if bias: + nn.init.constant_(self.l.bias, 0) + + @torch.no_grad() + def fuse(self): + bn, l = self._modules.values() + w = bn.weight / (bn.running_var + bn.eps) ** 0.5 + b = bn.bias - self.bn.running_mean * self.bn.weight / (bn.running_var + bn.eps) ** 0.5 + w = l.weight * w[None, :] + if l.bias is None: + b = b @ self.l.weight.T + else: + b = (l.weight @ b[:, None]).view(-1) + self.l.bias + m = nn.Linear(w.size(1), w.size(0), device=l.weight.device) + m.weight.data.copy_(w) + m.bias.data.copy_(b) + return m + + +class RepVGGDW(nn.Module): + def __init__(self, ed, kernel_size): + super().__init__() + self.conv = ConvNorm(ed, ed, kernel_size, 1, (kernel_size - 1) // 2, groups=ed) + self.conv1 = ConvNorm(ed, ed, 1, 1, 0, groups=ed) + self.dim = ed + + def forward(self, x): + return self.conv(x) + self.conv1(x) + x + + @torch.no_grad() + def fuse(self): + conv = self.conv.fuse() + conv1 = self.conv1.fuse() + + conv_w = conv.weight + conv_b = conv.bias + conv1_w = conv1.weight + conv1_b = conv1.bias + + conv1_w = nn.functional.pad(conv1_w, [1, 1, 1, 1]) + + identity = nn.functional.pad( + torch.ones(conv1_w.shape[0], conv1_w.shape[1], 1, 1, device=conv1_w.device), [1, 1, 1, 1] + ) + + final_conv_w = conv_w + conv1_w + identity + final_conv_b = conv_b + conv1_b + + conv.weight.data.copy_(final_conv_w) + conv.bias.data.copy_(final_conv_b) + return conv + + +class RepViTMlp(nn.Module): + def __init__(self, in_dim, hidden_dim, act_layer): + super().__init__() + self.conv1 = ConvNorm(in_dim, hidden_dim, 1, 1, 0) + self.act = act_layer() + self.conv2 = ConvNorm(hidden_dim, in_dim, 1, 1, 0, bn_weight_init=0) + + def forward(self, x): + return self.conv2(self.act(self.conv1(x))) + + +class RepViTBlock(nn.Module): + def __init__(self, in_dim, mlp_ratio, kernel_size, use_se, act_layer): + super(RepViTBlock, self).__init__() + + self.token_mixer = RepVGGDW(in_dim, kernel_size) + self.se = SqueezeExcite(in_dim, 0.25) if use_se else nn.Identity() + self.channel_mixer = RepViTMlp(in_dim, in_dim * mlp_ratio, act_layer) + + def forward(self, x): + x = self.token_mixer(x) + x = self.se(x) + identity = x + x = self.channel_mixer(x) + return identity + x + + +class RepViTStem(nn.Module): + def __init__(self, in_chs, out_chs, act_layer): + super().__init__() + self.conv1 = ConvNorm(in_chs, out_chs // 2, 3, 2, 1) + self.act1 = act_layer() + self.conv2 = ConvNorm(out_chs // 2, out_chs, 3, 2, 1) + self.stride = 4 + + def forward(self, x): + return self.conv2(self.act1(self.conv1(x))) + + +class RepViTDownsample(nn.Module): + def __init__(self, in_dim, mlp_ratio, out_dim, kernel_size, act_layer): + super().__init__() + self.pre_block = RepViTBlock(in_dim, mlp_ratio, kernel_size, use_se=False, act_layer=act_layer) + self.spatial_downsample = ConvNorm(in_dim, in_dim, kernel_size, 2, (kernel_size - 1) // 2, groups=in_dim) + self.channel_downsample = ConvNorm(in_dim, out_dim, 1, 1) + self.ffn = RepViTMlp(out_dim, out_dim * mlp_ratio, act_layer) + + def forward(self, x): + x = self.pre_block(x) + x = self.spatial_downsample(x) + x = self.channel_downsample(x) + identity = x + x = self.ffn(x) + return x + identity + + +class RepViTClassifier(nn.Module): + def __init__(self, dim, num_classes, distillation=False): + super().__init__() + self.head = NormLinear(dim, num_classes) if num_classes > 0 else nn.Identity() + self.distillation = distillation + if distillation: + self.head_dist = NormLinear(dim, num_classes) if num_classes > 0 else nn.Identity() + self.num_classes = num_classes + + def forward(self, x): + if self.distillation: + x1, x2 = self.head(x), self.head_dist(x) + if (not self.training) or torch.jit.is_scripting(): + return (x1 + x2) / 2 + else: + return x1, x2 + else: + x = self.head(x) + return x + + @torch.no_grad() + def fuse(self): + if not self.num_classes > 0: + return nn.Identity() + head = self.head.fuse() + if self.distillation: + head_dist = self.head_dist.fuse() + head.weight += head_dist.weight + head.bias += head_dist.bias + head.weight /= 2 + head.bias /= 2 + return head + else: + return head + + +class RepViTStage(nn.Module): + def __init__(self, in_dim, out_dim, depth, mlp_ratio, act_layer, kernel_size=3, downsample=True): + super().__init__() + if downsample: + self.downsample = RepViTDownsample(in_dim, mlp_ratio, out_dim, kernel_size, act_layer) + else: + assert in_dim == out_dim + self.downsample = nn.Identity() + + blocks = [] + use_se = True + for _ in range(depth): + blocks.append(RepViTBlock(out_dim, mlp_ratio, kernel_size, use_se, act_layer)) + use_se = not use_se + + self.blocks = nn.Sequential(*blocks) + + def forward(self, x): + x = self.downsample(x) + x = self.blocks(x) + return x + + +class RepViT(nn.Module): + def __init__( + self, + in_chans=3, + img_size=224, + embed_dim=(48,), + depth=(2,), + mlp_ratio=2, + global_pool='avg', + kernel_size=3, + num_classes=1000, + act_layer=nn.GELU, + distillation=True, + ): + super(RepViT, self).__init__() + self.grad_checkpointing = False + self.global_pool = global_pool + self.embed_dim = embed_dim + + in_dim = embed_dim[0] + self.stem = RepViTStem(in_chans, in_dim, act_layer) + stride = self.stem.stride + resolution = tuple([i // p for i, p in zip(to_2tuple(img_size), to_2tuple(stride))]) + + num_stages = len(embed_dim) + mlp_ratios = to_ntuple(num_stages)(mlp_ratio) + + self.feature_info = [] + stages = [] + for i in range(num_stages): + downsample = True if i != 0 else False + stages.append( + RepViTStage( + in_dim, + embed_dim[i], + depth[i], + mlp_ratio=mlp_ratios[i], + act_layer=act_layer, + kernel_size=kernel_size, + downsample=downsample, + ) + ) + stage_stride = 2 if downsample else 1 + stride *= stage_stride + resolution = tuple([(r - 1) // stage_stride + 1 for r in resolution]) + self.feature_info += [dict(num_chs=embed_dim[i], reduction=stride, module=f'stages.{i}')] + in_dim = embed_dim[i] + self.stages = nn.Sequential(*stages) + + self.num_features = embed_dim[-1] + self.head = RepViTClassifier(embed_dim[-1], num_classes, distillation) + + @torch.jit.ignore + def group_matcher(self, coarse=False): + matcher = dict( + stem=r'^stem', # stem and embed + blocks=[(r'^blocks\.(\d+)', None), (r'^norm', (99999,))] + ) + return matcher + + @torch.jit.ignore + def set_grad_checkpointing(self, enable=True): + self.grad_checkpointing = enable + + @torch.jit.ignore + def get_classifier(self): + return self.head + + def reset_classifier(self, num_classes, global_pool=None, distillation=False): + self.num_classes = num_classes + if global_pool is not None: + self.global_pool = global_pool + self.head = ( + RepViTClassifier(self.embed_dim[-1], num_classes, distillation) if num_classes > 0 else nn.Identity() + ) + + def forward_features(self, x): + x = self.stem(x) + if self.grad_checkpointing and not torch.jit.is_scripting(): + x = checkpoint_seq(self.stages, x) + else: + x = self.stages(x) + return x + + def forward_head(self, x, pre_logits: bool = False): + if self.global_pool == 'avg': + x = nn.functional.adaptive_avg_pool2d(x, 1).flatten(1) + return x if pre_logits else self.head(x) + + def forward(self, x): + x = self.forward_features(x) + x = self.forward_head(x) + return x + + @torch.no_grad() + def fuse(self): + def fuse_children(net): + for child_name, child in net.named_children(): + if hasattr(child, 'fuse'): + fused = child.fuse() + setattr(net, child_name, fused) + fuse_children(fused) + else: + fuse_children(child) + + fuse_children(self) + + +def _cfg(url='', **kwargs): + return { + 'url': url, + 'num_classes': 1000, + 'input_size': (3, 224, 224), + 'pool_size': (7, 7), + 'crop_pct': 0.95, + 'interpolation': 'bicubic', + 'mean': IMAGENET_DEFAULT_MEAN, + 'std': IMAGENET_DEFAULT_STD, + 'first_conv': 'stem.conv1.c', + 'classifier': ('head.head.l', 'head.head_dist.l'), + **kwargs, + } + + +default_cfgs = generate_default_cfgs( + { + 'repvit_m1': _cfg( + url='https://github.com/THU-MIG/RepViT/releases/download/v1.0/repvit_m1_distill_300_timm.pth' + ), + 'repvit_m2': _cfg( + url='https://github.com/THU-MIG/RepViT/releases/download/v1.0/repvit_m2_distill_300_timm.pth' + ), + 'repvit_m3': _cfg( + url='https://github.com/THU-MIG/RepViT/releases/download/v1.0/repvit_m3_distill_300_timm.pth' + ), + } +) + + +def _create_repvit(variant, pretrained=False, **kwargs): + out_indices = kwargs.pop('out_indices', (0, 1, 2, 3)) + model = build_model_with_cfg( + RepViT, variant, pretrained, feature_cfg=dict(flatten_sequential=True, out_indices=out_indices), **kwargs + ) + return model + + +@register_model +def repvit_m1(pretrained=False, **kwargs): + """ + Constructs a RepViT-M1 model + """ + model_args = dict(embed_dim=(48, 96, 192, 384), depth=(2, 2, 14, 2)) + return _create_repvit('repvit_m1', pretrained=pretrained, **dict(model_args, **kwargs)) + + +@register_model +def repvit_m2(pretrained=False, **kwargs): + """ + Constructs a RepViT-M2 model + """ + model_args = dict(embed_dim=(64, 128, 256, 512), depth=(2, 2, 12, 2)) + return _create_repvit('repvit_m2', pretrained=pretrained, **dict(model_args, **kwargs)) + + +@register_model +def repvit_m3(pretrained=False, **kwargs): + """ + Constructs a RepViT-M3 model + """ + model_args = dict(embed_dim=(64, 128, 256, 512), depth=(4, 4, 18, 2)) + return _create_repvit('repvit_m3', pretrained=pretrained, **dict(model_args, **kwargs)) From 3561f8e8851945016463f46cda1fd49c8faf9345 Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Wed, 26 Jul 2023 13:16:28 -0700 Subject: [PATCH 21/34] Add seresnextaa201d_32x8d 12k and 1k weights --- timm/models/resnet.py | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/timm/models/resnet.py b/timm/models/resnet.py index b6e29757ee..af0ecf55a3 100644 --- a/timm/models/resnet.py +++ b/timm/models/resnet.py @@ -1052,6 +1052,13 @@ def _gcfg(url='', **kwargs): 'seresnextaa101d_32x8d.sw_in12k_ft_in1k': _ttcfg( hf_hub_id='timm/', first_conv='conv1.0', test_crop_pct=1.0), + 'seresnextaa201d_32x8d.sw_in12k_ft_in1k_384': _cfg( + hf_hub_id='timm/', + interpolation='bicubic', first_conv='conv1.0', input_size=(3, 384, 384), crop_pct=1.0), + 'seresnextaa201d_32x8d.sw_in12k': _cfg( + hf_hub_id='timm/', + num_classes=11821, interpolation='bicubic', first_conv='conv1.0', + crop_pct=0.95, input_size=(3, 320, 320), test_input_size=(3, 384, 384), test_crop_pct=1.0), 'resnetaa50d.sw_in12k': _ttcfg( hf_hub_id='timm/', @@ -1838,6 +1845,17 @@ def seresnextaa101d_32x8d(pretrained=False, **kwargs) -> ResNet: return _create_resnet('seresnextaa101d_32x8d', pretrained, **dict(model_args, **kwargs)) +@register_model +def seresnextaa201d_32x8d(pretrained=False, **kwargs): + """Constructs a SE=ResNeXt-101-D 32x8d model with avgpool anti-aliasing + """ + model_args = dict( + block=Bottleneck, layers=[3, 24, 36, 4], cardinality=32, base_width=8, + stem_width=64, stem_type='deep', avg_down=True, aa_layer=nn.AvgPool2d, + block_args=dict(attn_layer='se')) + return _create_resnet('seresnextaa201d_32x8d', pretrained, **dict(model_args, **kwargs)) + + @register_model def resnetrs50(pretrained=False, **kwargs) -> ResNet: """Constructs a ResNet-RS-50 model. From b71d60cdb77211addb4be4abbfd44a638acfe784 Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Wed, 26 Jul 2023 13:18:49 -0700 Subject: [PATCH 22/34] Two small fixes, num_classes in base class, add model tag --- timm/models/repvit.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/timm/models/repvit.py b/timm/models/repvit.py index e5e32880a6..b0199b8986 100644 --- a/timm/models/repvit.py +++ b/timm/models/repvit.py @@ -178,7 +178,6 @@ def __init__(self, dim, num_classes, distillation=False): self.distillation = distillation if distillation: self.head_dist = NormLinear(dim, num_classes) if num_classes > 0 else nn.Identity() - self.num_classes = num_classes def forward(self, x): if self.distillation: @@ -248,6 +247,7 @@ def __init__( self.grad_checkpointing = False self.global_pool = global_pool self.embed_dim = embed_dim + self.num_classes = num_classes in_dim = embed_dim[0] self.stem = RepViTStem(in_chans, in_dim, act_layer) @@ -356,13 +356,13 @@ def _cfg(url='', **kwargs): default_cfgs = generate_default_cfgs( { - 'repvit_m1': _cfg( + 'repvit_m1.dist_in1k': _cfg( url='https://github.com/THU-MIG/RepViT/releases/download/v1.0/repvit_m1_distill_300_timm.pth' ), - 'repvit_m2': _cfg( + 'repvit_m2.dist_in1k': _cfg( url='https://github.com/THU-MIG/RepViT/releases/download/v1.0/repvit_m2_distill_300_timm.pth' ), - 'repvit_m3': _cfg( + 'repvit_m3.dist_in1k': _cfg( url='https://github.com/THU-MIG/RepViT/releases/download/v1.0/repvit_m3_distill_300_timm.pth' ), } From b10310cc27194b4534dfc1d92be7726195b2d011 Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Wed, 26 Jul 2023 14:36:03 -0700 Subject: [PATCH 23/34] Add proper pool size for new resnexts --- timm/models/resnet.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/timm/models/resnet.py b/timm/models/resnet.py index af0ecf55a3..3c1197cb9c 100644 --- a/timm/models/resnet.py +++ b/timm/models/resnet.py @@ -1054,11 +1054,11 @@ def _gcfg(url='', **kwargs): first_conv='conv1.0', test_crop_pct=1.0), 'seresnextaa201d_32x8d.sw_in12k_ft_in1k_384': _cfg( hf_hub_id='timm/', - interpolation='bicubic', first_conv='conv1.0', input_size=(3, 384, 384), crop_pct=1.0), + interpolation='bicubic', first_conv='conv1.0', pool_size=(12, 12), input_size=(3, 384, 384), crop_pct=1.0), 'seresnextaa201d_32x8d.sw_in12k': _cfg( hf_hub_id='timm/', num_classes=11821, interpolation='bicubic', first_conv='conv1.0', - crop_pct=0.95, input_size=(3, 320, 320), test_input_size=(3, 384, 384), test_crop_pct=1.0), + crop_pct=0.95, input_size=(3, 320, 320), pool_size=(10, 10), test_input_size=(3, 384, 384), test_crop_pct=1.0), 'resnetaa50d.sw_in12k': _ttcfg( hf_hub_id='timm/', From 942726db317735bce319cbf3d5140fc2a1ffebc8 Mon Sep 17 00:00:00 2001 From: "alec.tu" Date: Thu, 27 Jul 2023 09:26:57 +0800 Subject: [PATCH 24/34] import lion in __init__.py --- timm/optim/__init__.py | 1 + 1 file changed, 1 insertion(+) diff --git a/timm/optim/__init__.py b/timm/optim/__init__.py index 0775638e4d..d2eb67bab5 100644 --- a/timm/optim/__init__.py +++ b/timm/optim/__init__.py @@ -13,4 +13,5 @@ from .radam import RAdam from .rmsprop_tf import RMSpropTF from .sgdp import SGDP +from .lion import Lion from .optim_factory import create_optimizer, create_optimizer_v2, optimizer_kwargs From a9d0615f42189f4cd5a77121b84f21d4b096173e Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Wed, 26 Jul 2023 20:46:27 -0700 Subject: [PATCH 25/34] Fix ijepa vit issue with 448 model, minor formatting fixes --- timm/models/vision_transformer.py | 14 +++++++++++--- 1 file changed, 11 insertions(+), 3 deletions(-) diff --git a/timm/models/vision_transformer.py b/timm/models/vision_transformer.py index c072f13a91..025a01a84a 100644 --- a/timm/models/vision_transformer.py +++ b/timm/models/vision_transformer.py @@ -1466,6 +1466,7 @@ def _cfg(url='', **kwargs): url='https://dl.fbaipublicfiles.com/ijepa/IN1K-vit.h.16-448px-300e.pth.tar', # hf_hub_id='timm/', license='cc-by-nc-4.0', + input_size=(3, 448, 448), crop_pct=1.0, mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, num_classes=0), 'vit_gigantic_patch16_224_ijepa.in22k': _cfg( url='https://dl.fbaipublicfiles.com/ijepa/IN22K-vit.g.16-600e.pth.tar', @@ -2066,22 +2067,28 @@ def vit_giant_patch14_dinov2(pretrained=False, **kwargs) -> VisionTransformer: 'vit_giant_patch14_dinov2', pretrained=pretrained, **dict(model_args, **kwargs)) return model + @register_model def vit_huge_patch14_224_ijepa(pretrained=False, **kwargs) -> VisionTransformer: """ ViT-Huge model (ViT-H/14) from `I-JEPA` - https://arxiv.org/abs/2301.08243 """ model_args = dict(patch_size=14, embed_dim=1280, depth=32, num_heads=16, class_token=False, global_pool='avg') - model = _create_vision_transformer('vit_huge_patch14_224_ijepa', pretrained=pretrained, **dict(model_args, **kwargs)) + model = _create_vision_transformer( + 'vit_huge_patch14_224_ijepa', pretrained=pretrained, **dict(model_args, **kwargs)) return model + @register_model def vit_huge_patch16_448_ijepa(pretrained=False, **kwargs) -> VisionTransformer: """ ViT-Huge model (ViT-H/16) from `I-JEPA` - https://arxiv.org/abs/2301.08243 """ - model_args = dict(patch_size=16, embed_dim=1280, depth=32, num_heads=16, class_token=False, global_pool='avg', img_size=448) - model = _create_vision_transformer('vit_huge_patch16_448_ijepa', pretrained=pretrained, **dict(model_args, **kwargs)) + model_args = dict( + patch_size=16, embed_dim=1280, depth=32, num_heads=16, class_token=False, global_pool='avg', img_size=448) + model = _create_vision_transformer( + 'vit_huge_patch16_448_ijepa', pretrained=pretrained, **dict(model_args, **kwargs)) return model + @register_model def vit_gigantic_patch16_224_ijepa(pretrained=False, **kwargs) -> VisionTransformer: """ ViT-Gigantic (big-G) model (ViT-G/16) from `I-JEPA - https://arxiv.org/abs/2301.08243 @@ -2091,6 +2098,7 @@ def vit_gigantic_patch16_224_ijepa(pretrained=False, **kwargs) -> VisionTransfor 'vit_gigantic_patch16_224_ijepa', pretrained=pretrained, **dict(model_args, **kwargs)) return model + register_model_deprecations(__name__, { 'vit_tiny_patch16_224_in21k': 'vit_tiny_patch16_224.augreg_in21k', 'vit_small_patch32_224_in21k': 'vit_small_patch32_224.augreg_in21k', From 8cb0ddac459de432d3765849246b9bbf7fbc0f88 Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Thu, 27 Jul 2023 17:07:31 -0700 Subject: [PATCH 26/34] Update README, version 0.9.4dev0 --- README.md | 9 +++++++++ timm/version.py | 2 +- 2 files changed, 10 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index a3bdcca50d..c6b3d28362 100644 --- a/README.md +++ b/README.md @@ -35,6 +35,15 @@ And a big thanks to all GitHub sponsors who helped with some of my costs before * The Hugging Face Hub (https://huggingface.co/timm) is now the primary source for `timm` weights. Model cards include link to papers, original source, license. * Previous 0.6.x can be cloned from [0.6.x](https://github.com/rwightman/pytorch-image-models/tree/0.6.x) branch or installed via pip with version. +### July 27, 2023 +* Added timm trained `seresnextaa201d_32x8d.sw_in12k_ft_in1k_384` weights (and `.sw_in12k` pretrain) with 87.3% top-1 on ImageNet-1k, best ImageNet ResNet family model I'm aware of. +* RepViT model and weights (https://arxiv.org/abs/2307.09283) added by [wangao](https://github.com/jameslahm) +* I-JEPA ViT feature weights (no classifier) added by [SeeFun](https://github.com/seefun) +* SAM-ViT (segment anything) feature weights (no classifier) added by [SeeFun](https://github.com/seefun) +* Add support for alternative feat extraction methods and -ve indices to EfficientNet +* Add NAdamW optimizer +* Misc fixes + ### May 11, 2023 * `timm` 0.9 released, transition from 0.8.xdev releases diff --git a/timm/version.py b/timm/version.py index bb6f2f0706..505cb76af1 100644 --- a/timm/version.py +++ b/timm/version.py @@ -1 +1 @@ -__version__ = '0.9.3dev0' +__version__ = '0.9.4dev0' From 40a518c194b406a94c285cc4ca9a03de37235132 Mon Sep 17 00:00:00 2001 From: Sepehr Sameni Date: Fri, 28 Jul 2023 16:01:42 -0700 Subject: [PATCH 27/34] use float in resample_abs_pos_embed_nhwc since F.interpolate doesn't always support BFloat16 --- timm/layers/pos_embed.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/timm/layers/pos_embed.py b/timm/layers/pos_embed.py index ad10578acf..426c1c130b 100644 --- a/timm/layers/pos_embed.py +++ b/timm/layers/pos_embed.py @@ -64,12 +64,14 @@ def resample_abs_pos_embed_nhwc( if new_size[0] == posemb.shape[-3] and new_size[1] == posemb.shape[-2]: return posemb + previous_dtype = posemb.dtype + posemb = posemb.float() # do the interpolation posemb = posemb.reshape(1, posemb.shape[-3], posemb.shape[-2], posemb.shape[-1]).permute(0, 3, 1, 2) posemb = F.interpolate(posemb, size=new_size, mode=interpolation, antialias=antialias) - posemb = posemb.permute(0, 2, 3, 1) + posemb = posemb.permute(0, 2, 3, 1).to(previous_dtype) if not torch.jit.is_scripting() and verbose: _logger.info(f'Resized position embedding: {posemb.shape[-3:-1]} to {new_size}.') - return posemb \ No newline at end of file + return posemb From 6e8c53d0d38494d1d3f2d6d09ec57a56b19418ee Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Thu, 3 Aug 2023 10:00:46 -0700 Subject: [PATCH 28/34] Comment out beit url, no longer valid as now require long query string, leave for reference, must use HF hub now. --- timm/models/beit.py | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/timm/models/beit.py b/timm/models/beit.py index 3fd1062f5b..3472c0dca2 100644 --- a/timm/models/beit.py +++ b/timm/models/beit.py @@ -440,64 +440,64 @@ def _cfg(url='', **kwargs): default_cfgs = generate_default_cfgs({ 'beit_base_patch16_224.in22k_ft_in22k_in1k': _cfg( - url='https://conversationhub.blob.core.windows.net/beit-share-public/beit/beit_base_patch16_224_pt22k_ft22kto1k.pth', + #url='https://conversationhub.blob.core.windows.net/beit-share-public/beit/beit_base_patch16_224_pt22k_ft22kto1k.pth', hf_hub_id='timm/'), 'beit_base_patch16_384.in22k_ft_in22k_in1k': _cfg( - url='https://conversationhub.blob.core.windows.net/beit-share-public/beit/beit_base_patch16_384_pt22k_ft22kto1k.pth', + #url='https://conversationhub.blob.core.windows.net/beit-share-public/beit/beit_base_patch16_384_pt22k_ft22kto1k.pth', hf_hub_id='timm/', input_size=(3, 384, 384), crop_pct=1.0, ), 'beit_base_patch16_224.in22k_ft_in22k': _cfg( - url='https://conversationhub.blob.core.windows.net/beit-share-public/beit/beit_base_patch16_224_pt22k_ft22k.pth', + #url='https://conversationhub.blob.core.windows.net/beit-share-public/beit/beit_base_patch16_224_pt22k_ft22k.pth', hf_hub_id='timm/', num_classes=21841, ), 'beit_large_patch16_224.in22k_ft_in22k_in1k': _cfg( - url='https://conversationhub.blob.core.windows.net/beit-share-public/beit/beit_large_patch16_224_pt22k_ft22kto1k.pth', + #url='https://conversationhub.blob.core.windows.net/beit-share-public/beit/beit_large_patch16_224_pt22k_ft22kto1k.pth', hf_hub_id='timm/'), 'beit_large_patch16_384.in22k_ft_in22k_in1k': _cfg( - url='https://conversationhub.blob.core.windows.net/beit-share-public/beit/beit_large_patch16_384_pt22k_ft22kto1k.pth', + #url='https://conversationhub.blob.core.windows.net/beit-share-public/beit/beit_large_patch16_384_pt22k_ft22kto1k.pth', hf_hub_id='timm/', input_size=(3, 384, 384), crop_pct=1.0, ), 'beit_large_patch16_512.in22k_ft_in22k_in1k': _cfg( - url='https://conversationhub.blob.core.windows.net/beit-share-public/beit/beit_large_patch16_512_pt22k_ft22kto1k.pth', + #url='https://conversationhub.blob.core.windows.net/beit-share-public/beit/beit_large_patch16_512_pt22k_ft22kto1k.pth', hf_hub_id='timm/', input_size=(3, 512, 512), crop_pct=1.0, ), 'beit_large_patch16_224.in22k_ft_in22k': _cfg( - url='https://conversationhub.blob.core.windows.net/beit-share-public/beit/beit_large_patch16_224_pt22k_ft22k.pth', + #url='https://conversationhub.blob.core.windows.net/beit-share-public/beit/beit_large_patch16_224_pt22k_ft22k.pth', hf_hub_id='timm/', num_classes=21841, ), 'beitv2_base_patch16_224.in1k_ft_in22k_in1k': _cfg( - url='https://conversationhub.blob.core.windows.net/beit-share-public/beitv2/beitv2_base_patch16_224_pt1k_ft21kto1k.pth', + #url='https://conversationhub.blob.core.windows.net/beit-share-public/beitv2/beitv2_base_patch16_224_pt1k_ft21kto1k.pth', hf_hub_id='timm/', mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD ), 'beitv2_base_patch16_224.in1k_ft_in1k': _cfg( - url='https://conversationhub.blob.core.windows.net/beit-share-public/beitv2/beitv2_base_patch16_224_pt1k_ft1k.pth', + #url='https://conversationhub.blob.core.windows.net/beit-share-public/beitv2/beitv2_base_patch16_224_pt1k_ft1k.pth', hf_hub_id='timm/', mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD ), 'beitv2_base_patch16_224.in1k_ft_in22k': _cfg( - url='https://conversationhub.blob.core.windows.net/beit-share-public/beitv2/beitv2_base_patch16_224_pt1k_ft21k.pth', + #url='https://conversationhub.blob.core.windows.net/beit-share-public/beitv2/beitv2_base_patch16_224_pt1k_ft21k.pth', hf_hub_id='timm/', num_classes=21841, mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD ), 'beitv2_large_patch16_224.in1k_ft_in22k_in1k': _cfg( - url='https://conversationhub.blob.core.windows.net/beit-share-public/beitv2/beitv2_large_patch16_224_pt1k_ft21kto1k.pth', + #url='https://conversationhub.blob.core.windows.net/beit-share-public/beitv2/beitv2_large_patch16_224_pt1k_ft21kto1k.pth', hf_hub_id='timm/', crop_pct=0.95, mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD ), 'beitv2_large_patch16_224.in1k_ft_in1k': _cfg( - url='https://conversationhub.blob.core.windows.net/beit-share-public/beitv2/beitv2_large_patch16_224_pt1k_ft1k.pth', + #url='https://conversationhub.blob.core.windows.net/beit-share-public/beitv2/beitv2_large_patch16_224_pt1k_ft1k.pth', hf_hub_id='timm/', crop_pct=0.95, mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD ), 'beitv2_large_patch16_224.in1k_ft_in22k': _cfg( - url='https://conversationhub.blob.core.windows.net/beit-share-public/beitv2/beitv2_large_patch16_224_pt1k_ft21k.pth', + #url='https://conversationhub.blob.core.windows.net/beit-share-public/beitv2/beitv2_large_patch16_224_pt1k_ft21k.pth', hf_hub_id='timm/', num_classes=21841, mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD ), From 150356c4938825ddfa0bbfc5149680348773113e Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Thu, 3 Aug 2023 10:37:06 -0700 Subject: [PATCH 29/34] Fix unfortunate selecsls case bug caused by aggressive IDE rename --- timm/models/selecsls.py | 42 ++++++++++++++++++++--------------------- 1 file changed, 21 insertions(+), 21 deletions(-) diff --git a/timm/models/selecsls.py b/timm/models/selecsls.py index 0a333a3d21..847bfdb75e 100644 --- a/timm/models/selecsls.py +++ b/timm/models/selecsls.py @@ -182,10 +182,10 @@ def forward(self, x): return x -def _create_SelecSls(variant, pretrained, **kwargs): +def _create_selecsls(variant, pretrained, **kwargs): cfg = {} feature_info = [dict(num_chs=32, reduction=2, module='stem.2')] - if variant.startswith('SelecSls42'): + if variant.startswith('selecsls42'): cfg['block'] = SelecSlsBlock # Define configuration of the network after the initial neck cfg['features'] = [ @@ -204,7 +204,7 @@ def _create_SelecSls(variant, pretrained, **kwargs): ]) # Head can be replaced with alternative configurations depending on the problem feature_info.append(dict(num_chs=1024, reduction=32, module='head.1')) - if variant == 'SelecSls42b': + if variant == 'selecsls42b': cfg['head'] = [ (480, 960, 3, 2), (960, 1024, 3, 1), @@ -223,7 +223,7 @@ def _create_SelecSls(variant, pretrained, **kwargs): feature_info.append(dict(num_chs=1280, reduction=64, module='head.3')) cfg['num_features'] = 1280 - elif variant.startswith('SelecSls60'): + elif variant.startswith('selecsls60'): cfg['block'] = SelecSlsBlock # Define configuration of the network after the initial neck cfg['features'] = [ @@ -245,7 +245,7 @@ def _create_SelecSls(variant, pretrained, **kwargs): ]) # Head can be replaced with alternative configurations depending on the problem feature_info.append(dict(num_chs=1024, reduction=32, module='head.1')) - if variant == 'SelecSls60b': + if variant == 'selecsls60b': cfg['head'] = [ (416, 756, 3, 2), (756, 1024, 3, 1), @@ -264,7 +264,7 @@ def _create_SelecSls(variant, pretrained, **kwargs): feature_info.append(dict(num_chs=1280, reduction=64, module='head.3')) cfg['num_features'] = 1280 - elif variant == 'SelecSls84': + elif variant == 'selecsls84': cfg['block'] = SelecSlsBlock # Define configuration of the network after the initial neck cfg['features'] = [ @@ -327,52 +327,52 @@ def _cfg(url='', **kwargs): default_cfgs = generate_default_cfgs({ - 'SelecSls42.untrained': _cfg( + 'selecsls42.untrained': _cfg( interpolation='bicubic'), - 'SelecSls42b.in1k': _cfg( + 'selecsls42b.in1k': _cfg( hf_hub_id='timm/', interpolation='bicubic'), - 'SelecSls60.in1k': _cfg( + 'selecsls60.in1k': _cfg( hf_hub_id='timm/', interpolation='bicubic'), - 'SelecSls60b.in1k': _cfg( + 'selecsls60b.in1k': _cfg( hf_hub_id='timm/', interpolation='bicubic'), - 'SelecSls84.untrained': _cfg( + 'selecsls84.untrained': _cfg( interpolation='bicubic'), }) @register_model -def SelecSls42(pretrained=False, **kwargs) -> SelecSls: +def selecsls42(pretrained=False, **kwargs) -> SelecSls: """Constructs a SelecSls42 model. """ - return _create_SelecSls('SelecSls42', pretrained, **kwargs) + return _create_selecsls('selecsls42', pretrained, **kwargs) @register_model -def SelecSls42b(pretrained=False, **kwargs) -> SelecSls: +def selecsls42b(pretrained=False, **kwargs) -> SelecSls: """Constructs a SelecSls42_B model. """ - return _create_SelecSls('SelecSls42b', pretrained, **kwargs) + return _create_selecsls('selecsls42b', pretrained, **kwargs) @register_model -def SelecSls60(pretrained=False, **kwargs) -> SelecSls: +def selecsls60(pretrained=False, **kwargs) -> SelecSls: """Constructs a SelecSls60 model. """ - return _create_SelecSls('SelecSls60', pretrained, **kwargs) + return _create_selecsls('selecsls60', pretrained, **kwargs) @register_model -def SelecSls60b(pretrained=False, **kwargs) -> SelecSls: +def selecsls60b(pretrained=False, **kwargs) -> SelecSls: """Constructs a SelecSls60_B model. """ - return _create_SelecSls('SelecSls60b', pretrained, **kwargs) + return _create_selecsls('selecsls60b', pretrained, **kwargs) @register_model -def SelecSls84(pretrained=False, **kwargs) -> SelecSls: +def selecsls84(pretrained=False, **kwargs) -> SelecSls: """Constructs a SelecSls84 model. """ - return _create_SelecSls('SelecSls84', pretrained, **kwargs) + return _create_selecsls('selecsls84', pretrained, **kwargs) From 8e4480e4b6cf144cd8b003092c8de5bf37553a40 Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Thu, 3 Aug 2023 11:32:17 -0700 Subject: [PATCH 30/34] Patch and pos embed resample done in float32 always (cast to float and back). Fix #1811 --- timm/layers/patch_embed.py | 6 +++++- timm/layers/pos_embed.py | 7 +++++-- 2 files changed, 10 insertions(+), 3 deletions(-) diff --git a/timm/layers/patch_embed.py b/timm/layers/patch_embed.py index b9a2392128..473b095a46 100644 --- a/timm/layers/patch_embed.py +++ b/timm/layers/patch_embed.py @@ -197,7 +197,11 @@ def resample_kernel(kernel): return resampled_kernel.reshape(new_size) v_resample_kernel = vmap(vmap(resample_kernel, 0, 0), 1, 1) - return v_resample_kernel(patch_embed) + orig_dtype = patch_embed.dtype + patch_embed = patch_embed.float() + patch_embed = v_resample_kernel(patch_embed) + patch_embed = patch_embed.to(orig_dtype) + return patch_embed # def divs(n, m=None): diff --git a/timm/layers/pos_embed.py b/timm/layers/pos_embed.py index 426c1c130b..6be0017f05 100644 --- a/timm/layers/pos_embed.py +++ b/timm/layers/pos_embed.py @@ -40,9 +40,12 @@ def resample_abs_pos_embed( # do the interpolation embed_dim = posemb.shape[-1] + orig_dtype = posemb.dtype + posemb = posemb.float() # interpolate needs float32 posemb = posemb.reshape(1, old_size[0], old_size[1], -1).permute(0, 3, 1, 2) posemb = F.interpolate(posemb, size=new_size, mode=interpolation, antialias=antialias) posemb = posemb.permute(0, 2, 3, 1).reshape(1, -1, embed_dim) + posemb = posemb.to(orig_dtype) # add back extra (class, etc) prefix tokens if posemb_prefix is not None: @@ -64,12 +67,12 @@ def resample_abs_pos_embed_nhwc( if new_size[0] == posemb.shape[-3] and new_size[1] == posemb.shape[-2]: return posemb - previous_dtype = posemb.dtype + orig_dtype = posemb.dtype posemb = posemb.float() # do the interpolation posemb = posemb.reshape(1, posemb.shape[-3], posemb.shape[-2], posemb.shape[-1]).permute(0, 3, 1, 2) posemb = F.interpolate(posemb, size=new_size, mode=interpolation, antialias=antialias) - posemb = posemb.permute(0, 2, 3, 1).to(previous_dtype) + posemb = posemb.permute(0, 2, 3, 1).to(orig_dtype) if not torch.jit.is_scripting() and verbose: _logger.info(f'Resized position embedding: {posemb.shape[-3:-1]} to {new_size}.') From 76d166981d523acfaacd2203a399062b12bb958b Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Thu, 3 Aug 2023 11:35:05 -0700 Subject: [PATCH 31/34] Fix missing norm call in Mlp forward (not used by default, but can be enabled for normformer MLP scale). Fix #1851 fix #1852 --- timm/layers/mlp.py | 1 + 1 file changed, 1 insertion(+) diff --git a/timm/layers/mlp.py b/timm/layers/mlp.py index 2c3073300e..a68ae4bcca 100644 --- a/timm/layers/mlp.py +++ b/timm/layers/mlp.py @@ -42,6 +42,7 @@ def forward(self, x): x = self.fc1(x) x = self.act(x) x = self.drop1(x) + x = self.norm(x) x = self.fc2(x) x = self.drop2(x) return x From d138a9bf8802b3df0e3e715a4b507c34416c3b31 Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Thu, 3 Aug 2023 12:15:04 -0700 Subject: [PATCH 32/34] Add gluon hrnet small weights, fix #1895 --- timm/models/hrnet.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/timm/models/hrnet.py b/timm/models/hrnet.py index e56a550936..20ea7674be 100644 --- a/timm/models/hrnet.py +++ b/timm/models/hrnet.py @@ -889,7 +889,9 @@ def _cfg(url='', **kwargs): default_cfgs = generate_default_cfgs({ + 'hrnet_w18_small.gluon_in1k': _cfg(hf_hub_id='timm/', interpolation='bicubic'), 'hrnet_w18_small.ms_in1k': _cfg(hf_hub_id='timm/'), + 'hrnet_w18_small_v2.gluon_in1k': _cfg(hf_hub_id='timm/', interpolation='bicubic'), 'hrnet_w18_small_v2.ms_in1k': _cfg(hf_hub_id='timm/'), 'hrnet_w18.ms_aug_in1k': _cfg( hf_hub_id='timm/', From 4224529ebe6b74c7521ad00e378fced84cdb2f6d Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Thu, 3 Aug 2023 15:16:46 -0700 Subject: [PATCH 33/34] Version 0.9.5 prep for release. README update --- README.md | 6 ++++++ timm/version.py | 2 +- 2 files changed, 7 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index c6b3d28362..d254f32100 100644 --- a/README.md +++ b/README.md @@ -35,6 +35,12 @@ And a big thanks to all GitHub sponsors who helped with some of my costs before * The Hugging Face Hub (https://huggingface.co/timm) is now the primary source for `timm` weights. Model cards include link to papers, original source, license. * Previous 0.6.x can be cloned from [0.6.x](https://github.com/rwightman/pytorch-image-models/tree/0.6.x) branch or installed via pip with version. +### Aug 3, 2023 +* Add GluonCV weights for HRNet w18_small and w18_small_v2. Converted by [SeeFun](https://github.com/seefun) +* Fix `selecsls*` model naming regression +* Patch and position embedding for ViT/EVA works for bfloat16/float16 weights on load (or activations for on-the-fly resize) +* v0.9.5 release prep + ### July 27, 2023 * Added timm trained `seresnextaa201d_32x8d.sw_in12k_ft_in1k_384` weights (and `.sw_in12k` pretrain) with 87.3% top-1 on ImageNet-1k, best ImageNet ResNet family model I'm aware of. * RepViT model and weights (https://arxiv.org/abs/2307.09283) added by [wangao](https://github.com/jameslahm) diff --git a/timm/version.py b/timm/version.py index 505cb76af1..9272695b35 100644 --- a/timm/version.py +++ b/timm/version.py @@ -1 +1 @@ -__version__ = '0.9.4dev0' +__version__ = '0.9.5' From 81089b10a24b3a780988a1cdf075dd1de9c17042 Mon Sep 17 00:00:00 2001 From: Ross Wightman Date: Thu, 3 Aug 2023 16:38:53 -0700 Subject: [PATCH 34/34] Remove unecessary LongTensor in EfficientFormer. Possibly maybe fix #1878 --- timm/models/efficientformer.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/timm/models/efficientformer.py b/timm/models/efficientformer.py index 970d1a112e..04204b3dd3 100644 --- a/timm/models/efficientformer.py +++ b/timm/models/efficientformer.py @@ -67,7 +67,7 @@ def __init__( rel_pos = (pos[..., :, None] - pos[..., None, :]).abs() rel_pos = (rel_pos[0] * resolution[1]) + rel_pos[1] self.attention_biases = torch.nn.Parameter(torch.zeros(num_heads, resolution[0] * resolution[1])) - self.register_buffer('attention_bias_idxs', torch.LongTensor(rel_pos)) + self.register_buffer('attention_bias_idxs', rel_pos) self.attention_bias_cache = {} # per-device attention_biases cache (data-parallel compat) @torch.no_grad()