CVPR2019| 12篇CVPR论文开源代码（DeepFashion2/语义分割/人脸数据集基准等）

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？。目前官方已公布了接收论文列表，极市已汇总目前公开的所有论文链接及code（目前已更新666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.DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation

DeepSDF：学习形状表示的连续符号距离函数

作者：Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, Steven Lovegrove
论文链接：https://arxiv.org/abs/1901.05103
源码链接：https://github.com/Oktosha/DeepSDF-explained

2.Learning Implicit Fields for Generative Shape Modeling
生成形状建模的学习隐式字段

作者：Zhiqin Chen, Hao Zhang
论文链接：https://arxiv.org/abs/1812.02822
源码链接：

https://github.com/czq142857/implicit-decoder

3.Occupancy Networks: Learning 3D Reconstruction in Function Space

Occupancy Networks：学习功能空间中的三维重建

作者：Lars Mescheder and Michael Oechsle and Michael Niemeyer and Sebastian Nowozin and Andreas Geiger
论文链接：

https://avg.is.tuebingen.mpg.de/publications/occupancy-networks
源码链接：

https://github.com/autonomousvision/occupancy_networks

4.A Style-Based Generator Architecture for Generative Adversarial Networks

基于样式的生成对抗网络生成器体系结构

作者：Tero Karras (NVIDIA), Samuli Laine (NVIDIA), Timo Aila (NVIDIA)
论文链接：http://stylegan.xyz/paper
源码链接：https://github.com/NVlabs/stylegan

5.Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation(Oral)
Auto-DeepLab：分层神经架构搜索语义图像分割

作者：Peng Zhang, Fuhao Zou, Zhiwen Wu, Nengli Dai, Skarpness Mark, Michael Fu, Juan Zhao, Kai Li
论文链接：https://arxiv.org/abs/1901.02985
源码链接：

https://github.com/tensorflow/models/tree/master/research/deeplab

6.FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing
FeatherNets：卷积神经网络像面部反欺骗一样轻盈

作者：Peng Zhang, Fuhao Zou, Zhiwen Wu, Nengli Dai, Skarpness Mark, Michael Fu, Juan Zhao, Kai Li
论文链接：https://arxiv.org/abs/1904.09290
源码链接：

https://github.com/SoftwareGift/FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019

7.A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing
大型多模式人脸反欺骗的数据集和基准

作者：Sachin Mehta, Mohammad Rastegari, Linda Shapiro, Hannaneh Hajishirzi
论文链接：https://arxiv.org/abs/1811.11431
源码链接：

https://github.com/sacmehta/ESPNetv2

8.ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
ESPNetv2：轻量级，高效率和通用卷积神经网络

作者：Sachin Mehta, Mohammad Rastegari, Linda Shapiro, Hannaneh Hajishirzi
论文链接：https://arxiv.org/abs/1811.11431
源码链接：

https://github.com/sacmehta/ESPNetv2

9.ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
ProxylessNAS：直接神经架构搜索目标任务和硬件

作者：Han Cai, Ligeng Zhu, Song Han
论文链接：https://arxiv.org/abs/1812.00332
源码链接：https://github.com/MIT-HAN-LAB/ProxylessNAS

10.Bottom-up Object Detection by Grouping Extreme and Center Points
通过分组极端点和中心点进行底部物体检测

作者：Xingyi Zhou, Jiacheng Zhuo, Philipp Krähenbühl
论文链接：https://arxiv.org/abs/1901.08043
源码链接：

https://github.com/xingyizhou/ExtremeNet

11.DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images
DeepFashion2：用于服装图像的检测，姿势估计，分割和重新识别的多功能基准

作者：Yuying Ge, Ruimao Zhang, Lingyun Wu, Xiaogang Wang, Xiaoou Tang, Ping Luo
论文链接：https://arxiv.org/abs/1901.07973 
源码链接：

https://github.com/switchablenorms/DeepFashion2

12.Detect-to-Retrieve: Efficient Regional Aggregation for Image Search
Detect-to-Retrieve：图像搜索的高效区域聚合

作者：Marvin Teichmann, Andre Araujo, Menglong Zhu, Jack Sim
论文链接：https://arxiv.org/abs/1812.01584 
源码链接：

https://github.com/tensorflow/models/tree/master/research/delf

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