近日，CVPR官方终于放出了所有的论文列表，并开放下载。
图灵君为大家整理并下载了【人脸检测/识别/重建】和【目标检测/分割/跟踪】的相关论文，关注本公众号，回复 “CVPR1” 即可获取下载。
根据CVPR 2020官方公布论文收录结果，在6656篇有效投稿中，共有1470篇论文被接收，接收率为22%左右，相较去年25%的入选率，同比下降3%。
人脸检测/识别/重建
Towards Universal Representation Learning for Deep Face Recognition
论文：arxiv.org/abs/2002.1184
Suppressing Uncertainties for Large-Scale Facial Expression Recognition
论文：arxiv.org/abs/2002.1039
代码：github.com/kaiwang96011
Face X-ray for More General Face Forgery Detection
论文：arxiv.org/pdf/1912.1345
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
论文：arxiv.org/abs/2004.0028
代码：github.com/HuangYG123/C
Learning Meta Face Recognition in Unseen Domains
论文：arxiv.org/abs/2003.0773
代码：github.com/cleardusk/MF
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
论文：arxiv.org/abs/2003.0409
代码：github.com/ZitongYu/CDC
Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images
论文：arxiv.org/abs/2003.0812
代码：github.com/Hangz-nju-cu
AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild”
论文：arxiv.org/abs/2003.1384
代码：github.com/lattas/Avata
FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
论文：arxiv.org/abs/2003.1398
代码：github.com/zhuhao-nju/f
目标检测/分割/跟踪
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
论文：arxiv.org/abs/1908.0199
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
论文：arxiv.org/abs/1912.0242
代码：github.com/sfzhang15/AT
Semi-Supervised Semantic Image Segmentation with Self-correcting Networks
论文：arxiv.org/abs/1811.0707
Deep Snake for Real-Time Instance Segmentation
论文：arxiv.org/abs/2001.0162
SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks
论文：arxiv.org/abs/2003.0067
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
论文：arxiv.org/abs/1911.1267
CenterMask : Real-Time Anchor-Free Instance Segmentation
论文：arxiv.org/abs/1911.0666
代码：github.com/youngwanLEE/
PolarMask: Single Shot Instance Segmentation with Polar Representation
论文：arxiv.org/abs/1909.1322
代码：github.com/xieenze/Pola
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
论文：arxiv.org/abs/2001.0030
ROAM: Recurrently Optimizing Tracking Model
论文：arxiv.org/abs/1907.1200
