CVPR2019 | 03-14日更新12篇论文及代码汇总（语义分割、人群计数、行为预测、分类等）

前段时间，计算机视觉顶会CVPR 2019 公布了接收结果，极市也对此做了相关报道：1300篇！CVPR2019接收结果公布，你中了吗？。目前官方只公布了接收论文ID列表，极市已汇总目前公开的所有论文链接及code（目前已更新179篇），今日更新论文如下：

CVPR2019 全部论文汇总：

https://github.com/extreme-assistant/cvpr2019

CVPR2019 论文解读

http://bbs.cvmart.net/topics/287/cvpr2019

1、Structured Knowledge Distillation for Semantic Segmentation（语义分割） 
作者：Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang 
论文链接：https://arxiv.org/abs/1903.04197

2、ScratchDet:Exploring to Train Single-Shot Object Detectors from Scratch(Oral) 
作者：Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi, Liefeng Bo, Tao Mei 
论文链接：https://arxiv.org/abs/1810.08425v3
源码链接：

https://github.com/KimSoybean/ScratchDet

3、Scene Categorization from Contours: Medial Axis Based Salience Measures 
作者：Morteza Rezanejad, Gabriel Downs, John Wilder, Dirk B. Walther, Allan Jepson, Sven Dickinson, Kaleem Siddiqi 
论文链接：https://arxiv.org/abs/1811.10524v1

4、Point in, Box out: Beyond Counting Persons in Crowds
作者：待更新 
论文链接：

https://github.com/xiaofanglegoc/xiaofanglegoc.github.io/blob/master/publications/cvpr2019.pdf

5、3D Guided Fine-Grained Face Manipulation

作者：Zhenglin Geng, Chen Cao, Sergey Tulyakov 
论文链接：https://arxiv.org/abs/1902.08900
简要：Disentangle shape and texture and can continuously manipulate the facial expression.

6、Depth Coefficients for Depth Completion 
作者：Saif Imran, Yunfei Long, Xiaoming Liu, Daniel Morris 
论文链接：https://arxiv.org/abs/1903.05421v1
简要：The goal is to obtain high resolution depth images from sparse Lidar + color video.

7、LaSO: Label-Set Operations networks for multi-label few-shot learning(oral) 
作者：Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogerio Feris, Raja Giryes, Alex M. Bronstein 
论文链接：https://arxiv.org/abs/1902.09811

8、Peeking into the Future: Predicting Future Person Activities and Locations in Videos(行为预测） 
作者：Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-Fei 
论文链接：https://arxiv.org/abs/1902.03748

9、All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification（分类） 
作者：Weijie Chen, Di Xie, Yuan Zhang, Shiliang Pu 
论文链接：https://arxiv.org/abs/1903.05285

10、Hardness-Aware Deep Metric Learning（oral)
作者：Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou 
论文链接：https://arxiv.org/abs/1903.05503
代码链接：

https://github.com/wzzheng/HDML（待更新）

11、RVOS: End-to-End Recurrent Network for Video Object Segmentation 
作者：Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marques, Xavier Giro-i-Nieto 
论文链接：https://arxiv.org/abs/1903.05612
项目链接：https://imatge-upc.github.io/rvos/

12、Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
作者：Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, Ming-Hsuan Yang 
论文链接：https://arxiv.org/abs/1903.05628
代码链接：

https://github.com/HelenMao/MSGAN （待更新）