@@ -6,80 +6,139 @@ CVPR 2019 论文开源项目合集
6
6
- [ 目标跟踪] ( #Object-Tracking )
7
7
- [ 语义分割] ( #Semantic-Segmentation )
8
8
- [ 实例分割] ( #Instance-Segmentation )
9
+ - [ GAN] ( #GAN )
9
10
- [ 人脸检测] ( #Face-Detection )
10
11
- [ 人体姿态估计] ( #Human-Pose-Estimation )
12
+ - [ 6DoF 姿态估计] ( #6DoF-Pose-Estimation )
13
+ - [ 头部姿态估计] ( #Head-Pose-Estimation )
14
+ - [ 人群密度估计] ( #Crowd-Counting )
15
+
16
+ ** 更新记录:**
17
+
18
+ - 20190405:添加8篇论文(目标检测、语义分割等方向)
19
+ - 20190408:添加6篇论文(目标跟踪、GAN、6DoF姿态估计等方向)
11
20
12
21
<a name =" Object-Detection " ></a >
13
22
14
23
# 目标检测
15
24
16
25
** Bounding Box Regression with Uncertainty for Accurate Object Detection**
17
26
18
- arXiv:< https://arxiv.org/abs/1809.08545 >
27
+ - arXiv:< https://arxiv.org/abs/1809.08545 >
19
28
20
- github:< https://github.com/yihui-he/KL-Loss >
29
+ - github:< https://github.com/yihui-he/KL-Loss >
21
30
22
31
<a name =" Object-Tracking " ></a >
23
32
24
33
# 目标跟踪
25
34
26
35
** Fast Online Object Tracking and Segmentation: A Unifying Approach**
27
36
28
- arXiv:< https://arxiv.org/abs/1812.05050 >
37
+ - arXiv:< https://arxiv.org/abs/1812.05050 >
38
+
39
+ - github:< https://github.com/foolwood/SiamMask >
40
+
41
+ - homepage:< http://www.robots.ox.ac.uk/~qwang/SiamMask >
42
+
43
+ ** Unsupervised Deep Tracking**
44
+
45
+ - arXiv:< https://arxiv.org/abs/1904.01828 >
29
46
30
- github:< https://github.com/foolwood/SiamMask >
47
+ - github:< https://github.com/594422814/UDT >
31
48
32
- homepage:< http://www.robots.ox.ac.uk/~qwang/SiamMask >
49
+ - github(PyTorch):< https://github.com/594422814/UDT_pytorch >
50
+
51
+ ** Target-Aware Deep Tracking**
52
+
53
+ - arXiv:< https://arxiv.org/abs/1904.01772 >
54
+
55
+ - homepage:< https://xinli-zn.github.io/TADT-project-page/ >
33
56
34
57
<a name =" Semantic-Segmentation " ></a >
35
58
36
59
# 语义分割
37
60
38
61
** Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation**
39
62
40
- arXiv:< https://arxiv.org/abs/1903.02120 >
63
+ - arXiv:< https://arxiv.org/abs/1903.02120 >
41
64
42
- github:[ https://github.com/LinZhuoChen/DUpsampling(非官方) ] ( https://github.com/LinZhuoChen/DUpsampling%EF%BC%88%E9%9D%9E%E5%AE%98%E6%96%B9%EF%BC%89 )
65
+ - github:[ https://github.com/LinZhuoChen/DUpsampling(非官方) ] ( https://github.com/LinZhuoChen/DUpsampling%EF%BC%88%E9%9D%9E%E5%AE%98%E6%96%B9%EF%BC%89 )
43
66
44
67
** Dual Attention Network for Scene Segmentation**
45
68
46
- arXiv:< https://arxiv.org/abs/1809.02983 >
69
+ - arXiv:< https://arxiv.org/abs/1809.02983 >
47
70
48
- github:< https://github.com/junfu1115/DANet >
71
+ - github:< https://github.com/junfu1115/DANet >
49
72
50
73
** Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images**
51
74
52
- arXiv:None
75
+ - arXiv:None
53
76
54
- github:< https://github.com/chenwydj/ultra_high_resolution_segmentation >
77
+ - github:< https://github.com/chenwydj/ultra_high_resolution_segmentation >
55
78
56
79
<a name =" Instance-Segmentation " ></a >
57
80
58
81
# 实例分割
59
82
60
83
** Mask Scoring R-CNN**
61
84
62
- arXiv:< https://arxiv.org/abs/1903.00241 >
85
+ - arXiv:< https://arxiv.org/abs/1903.00241 >
86
+
87
+ - github:< https://github.com/zjhuang22/maskscoring_rcnn >
88
+
89
+ <a name =" GAN " ></a >
90
+
91
+ # GAN
63
92
64
- github:< https://github.com/zjhuang22/maskscoring_rcnn >
93
+ ** Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis**
94
+
95
+ - arXiv:< https://arxiv.org/abs/1903.05628 >
96
+ - github:< https://github.com/HelenMao/MSGAN >
65
97
66
98
<a name =" Face-Detection " ></a >
67
99
68
100
# 人脸检测
69
101
70
102
** DSFD: Dual Shot Face Detector**
71
103
72
- arXiv:< https://arxiv.org/abs/1810.10220 >
104
+ - arXiv:< https://arxiv.org/abs/1810.10220 >
73
105
74
- github:< https://github.com/TencentYoutuResearch/FaceDetection-DSFD >
106
+ - github:< https://github.com/TencentYoutuResearch/FaceDetection-DSFD >
75
107
76
108
<a name =" Human-Pose-Estimation " ></a >
77
109
78
110
# 人体姿态估计
79
111
80
112
** Deep High-Resolution Representation Learning for Human Pose Estimation**
81
113
82
- arXiv:< https://arxiv.org/abs/1902.09212 >
114
+ - arXiv:< https://arxiv.org/abs/1902.09212 >
115
+
116
+ - github:< https://github.com/leoxiaobin/deep-high-resolution-net.pytorch >
117
+
118
+ <a name =" 6DoF-Pose-Estimation " ></a >
119
+
120
+ # 6DoF姿态估计
121
+
122
+ ** PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation**
123
+
124
+ - arXiv:< https://arxiv.org/abs/1812.11788 >
125
+ - github:< https://github.com/zju3dv/pvnet >
126
+
127
+ <a name =" Head-Pose-Estimation " ></a >
128
+
129
+ # 头部姿态估计
130
+
131
+ ** PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation**
132
+
133
+ - paper:< https://github.com/shamangary/FSA-Net/blob/master/0191.pdf >
134
+ - github:< https://github.com/shamangary/FSA-Net >
135
+
136
+ <a name =" Crowd-Counting " ></a >
137
+
138
+ # 人群密度估计
83
139
84
- github: < https://github.com/leoxiaobin/deep-high-resolution-net.pytorch >
140
+ ** Learning from Synthetic Data for Crowd Counting in the Wild **
85
141
142
+ - arXiv:< https://arxiv.org/abs/1903.03303 >
143
+ - github:< https://github.com/gjy3035/GCC-SFCN >
144
+ - homepage:< https://gjy3035.github.io/GCC-CL/ >
0 commit comments