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

参考链接

http://openaccess.thecvf.com/CVPR2020.py