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