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|[Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes](http://openaccess.thecvf.com/content_iccv_2017/html/Zhang_Curriculum_Domain_Adaptation_ICCV_2017_paper.html)| ICCV |[code](https://github.com/YangZhang4065/AdaptationSeg)| 50 |
840
840
|[Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee](http://papers.nips.cc/paper/6910-net-trim-convex-pruning-of-deep-neural-networks-with-performance-guarantee.pdf)| NIPS |[code](https://github.com/DNNToolBox/Net-Trim-v1)| 50 |
|[A Deep Regression Architecture With Two-Stage Re-Initialization for High Performance Facial Landmark Detection](http://openaccess.thecvf.com/content_cvpr_2017/html/Lv_A_Deep_Regression_CVPR_2017_paper.html)| CVPR |[code](https://github.com/shaoxiaohu/Face_Alignment_Two_Stage_Re-initialization)| 49 |
842
843
|[CoupleNet: Coupling Global Structure With Local Parts for Object Detection](http://openaccess.thecvf.com/content_iccv_2017/html/Zhu_CoupleNet_Coupling_Global_ICCV_2017_paper.html)| ICCV |[code](https://github.com/tshizys/CoupleNet)| 49 |
843
844
|[Person Search With Natural Language Description](http://openaccess.thecvf.com/content_cvpr_2017/html/Li_Person_Search_With_CVPR_2017_paper.html)| CVPR |[code](https://github.com/ShuangLI59/Person-Search-with-Natural-Language-Description)| 47 |
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