CVPR2020最全整理：分方向论文下载，Github源码、论文解读等[计算机视觉][目标检测]

CVPR2020在2月24日公布了所有接受论文ID，相关报道：1470篇！CVPR2020结果出炉，你中了吗？（附部分论文链接/开源代码/解读）。自论文ID公布以来，许多开发者都分享了自己的优秀工作。

从论文ID公布以来，极市一直在对CVPR进行实时跟进，本文是对80篇CVPR2020论文整理和分类，均有论文链接，部分含开源代码，涵盖的方向有：目标检测、目标跟踪、图像分割、人脸识别、姿态估计、三维点云、视频分析、模型加速、GAN、OCR等方向，还有论文合集打包下载，分享给大家学习。

此外，我们也会在Github和极市社区上保持更新，欢迎大家关注：
https://github.com/extreme-assistant/cvpr2020/blob/master/CVPR2020.md

关注极市平台，回复CVPR2020，获取CVPR2020论文合集下载链接。
声明：本文为极市平台原创整理，未经许可，不得擅自转载。

目录（点击标题即可跳转）

1. 目标检测

2. 图像分割

3. 人脸识别

4. 目标跟踪

5. 三维点云/三维重建

6. 图像处理

7. 图像分类

8. 姿态估计/动作识别

9. 视频分析

10. OCR

11. GAN

12. 小样本/零样本

13. 弱监督/无监督/自监督

14. 行人跟踪/行人检测/ReID

15. 神经网络/模型加速/模型压缩

16. 超分辨率

17. 视觉常识

1. 目标检测

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

论文地址：https://arxiv.org/abs/1912.02424

代码：https://github.com/sfzhang15/ATSS
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

论文地址：https://arxiv.org/abs/1908.01998

图像分割

Semi-Supervised Semantic Image Segmentation with Self-correcting Networks

论文地址：https://arxiv.org/abs/1811.07073
Deep Snake for Real-Time Instance Segmentation

论文地址：https://arxiv.org/abs/2001.01629
CenterMask : Real-Time Anchor-Free Instance Segmentation

论文地址：https://arxiv.org/abs/1911.06667

代码：https://github.com/youngwanLEE/CenterMask
SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks

论文地址：https://arxiv.org/abs/2003.00678
PolarMask: Single Shot Instance Segmentation with Polar Representation

论文地址：https://arxiv.org/abs/1909.13226

代码：https://github.com/xieenze/PolarMask
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation

论文地址：https://arxiv.org/abs/1911.12676
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation

论文地址：https://arxiv.org/abs/2001.00309

人脸识别

Towards Universal Representation Learning for Deep Face Recognition

论文地址：https://arxiv.org/abs/2002.11841
Suppressing Uncertainties for Large-Scale Facial Expression Recognition

论文地址：https://arxiv.org/abs/2002.10392

代码：https://github.com/kaiwang960112/Self-Cure-Network
Face X-ray for More General Face Forgery Detection

论文地址：https://arxiv.org/pdf/1912.13458.pdf

目标跟踪

ROAM: Recurrently Optimizing Tracking Model

论文地址：https://arxiv.org/abs/1907.12006

三维点云&重建

PF-Net: Point Fractal Network for 3D Point Cloud Completion

论文地址：https://arxiv.org/abs/2003.00410
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification

论文地址：https://arxiv.org/abs/2002.10876

代码：https://github.com/liruihui/PointAugment/
Learning multiview 3D point cloud registration

论文地址：https://arxiv.org/abs/2001.05119
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds

论文地址：https://arxiv.org/abs/1912.07009
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

论文地址：https://arxiv.org/abs/1911.11236
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image

论文地址：https://arxiv.org/abs/2002.12212
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion

论文地址：https://arxiv.org/abs/2003.01456
In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks

论文地址：https://arxiv.org/pdf/1911.11924.pdf
Attentive Context Normalization for Robust Permutation-Equivariant Learning

论文地址：https://arxiv.org/abs/1907.02545 Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi

10.PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes

https://arxiv.org/abs/1911.10949

图像处理

Learning to Shade Hand-drawn Sketches

论文地址：https://arxiv.org/abs/2002.11812
Single Image Reflection Removal through Cascaded Refinement

论文地址：https://arxiv.org/abs/1911.06634
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data

论文地址：https://arxiv.org/abs/2002.11297
Deep Image Harmonization via Domain Verification

论文地址：https://arxiv.org/abs/1911.13239

代码：https://github.com/bcmi/Image_Harmonization_Datasets
RoutedFusion: Learning Real-time Depth Map Fusion

论文地址：https://arxiv.org/pdf/2001.04388.pdf

图像分类

Self-training with Noisy Student improves ImageNet classification

论文地址：https://arxiv.org/abs/1911.04252
Image Matching across Wide Baselines: From Paper to Practice

论文地址：https://arxiv.org/abs/2003.01587
Towards Robust Image Classification Using Sequential Attention Models

论文地址：https://arxiv.org/abs/1912.02184
Learning in the Frequency Domain

论文地址：https://arxiv.org/abs/2002.12416
Learning from Web Data with Memory Module

论文地址：https://arxiv.org/abs/1906.12028
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks

论文地址：https://arxiv.org/abs/1912.09393

姿态估计/动作识别

VIBE: Video Inference for Human Body Pose and Shape Estimation

论文地址：https://arxiv.org/abs/1912.05656

代码：https://github.com/mkocabas/VIBE
Distribution-Aware Coordinate Representation for Human Pose Estimation

论文地址：https://arxiv.org/abs/1910.06278

代码：https://github.com/ilovepose/DarkPose
4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras

论文地址：https://arxiv.org/abs/2002.12625
Optimal least-squares solution to the hand-eye calibration problem

论文地址：https://arxiv.org/abs/2002.10838
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry

论文地址：https://arxiv.org/abs/2003.01060
Multi-Modal Domain Adaptation for Fine-Grained Action Recognition

论文地址：https://arxiv.org/abs/2001.09691
Distribution Aware Coordinate Representation for Human Pose Estimation

论文地址：https://arxiv.org/abs/1910.06278
The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation

论文地址：https://arxiv.org/abs/1911.07524
PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation

论文地址：https://arxiv.org/abs/1911.04231
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation

论文地址：https://arxiv.org/abs/2003.02824

视频分析

Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications

论文地址：https://arxiv.org/abs/2003.01455

代码：https://github.com/bbrattoli/ZeroShotVideoClassification
Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs

论文地址：https://arxiv.org/abs/2003.00387
Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning

论文地址：https://arxiv.org/abs/2003.00392
Object Relational Graph with Teacher-Recommended Learning for Video Captioning

论文地址：https://arxiv.org/abs/2002.11566
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

论文地址：https://arxiv.org/abs/2002.11616
Blurry Video Frame Interpolation

论文地址：https://arxiv.org/abs/2002.12259
Hierarchical Conditional Relation Networks for Video Question Answering

论文地址：https://arxiv.org/abs/2002.10698
Action Modifiers:Learning from Adverbs in Instructional Video

论文地址：https://arxiv.org/abs/1912.06617

OCR

ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network

论文地址：https://arxiv.org/abs/2002.10200

代码：https://github.com/Yuliang-Liu/bezier_curve_text_spotting,https://github.com/aim-uofa/adet

GAN

Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models

论文地址：https://arxiv.org/abs/1911.12287

代码：https://github.com/giannisdaras/ylg
MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis

论文地址：https://arxiv.org/abs/1903.06048
Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory

论文地址：https://arxiv.org/abs/1911.04636

小样本/零样本

Improved Few-Shot Visual Classification

论文地址：https://arxiv.org/pdf/1912.03432.pdf

2.Meta-Transfer Learning for Zero-Shot Super-Resolution

论文地址：https://arxiv.org/abs/2002.12213

弱监督/无监督/自监督

Rethinking the Route Towards Weakly Supervised Object Localization

论文地址：https://arxiv.org/abs/2002.11359
NestedVAE: Isolating Common Factors via Weak Supervision

论文地址：https://arxiv.org/abs/2002.11576
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation

论文地址：https://arxiv.org/abs/1911.07450
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction

论文地址：https://arxiv.org/abs/2003.01460
ClusterFit: Improving Generalization of Visual Representations

论文地址：https://arxiv.org/abs/1912.03330
Auto-Encoding Twin-Bottleneck Hashing

论文地址：https://arxiv.org/abs/2002.11930
Learning Representations by Predicting Bags of Visual Words

论文地址：https://arxiv.org/abs/2002.12247
A Characteristic Function Approach to Deep Implicit Generative Modeling

论文地址：https://arxiv.org/abs/1909.07425

行人跟踪/行人检测/ReID

Cross-modality Person re-identification with Shared-Specific Feature Transfer

论文地址：https://arxiv.org/abs/2002.12489

2.Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

论文地址：https://arxiv.org/abs/2002.11927

3.The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

论文地址：https://arxiv.org/abs/1912.06445

神经网络/模型压缩/模型加速

GhostNet: More Features from Cheap Operations

论文地址：https://arxiv.org/abs/1911.11907

代码：https://github.com/iamhankai/ghostnet
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral

论文地址：https://arxiv.org/abs/2003.01826
GPU-Accelerated Mobile Multi-view Style Transfer

论文地址：https://arxiv.org/abs/2003.00706
Bundle Adjustment on a Graph Processor

论文地址：https://arxiv.org/abs/2003.03134

代码：https://github.com/joeaortiz/gbp
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral

论文地址：https://arxiv.org/abs/2003.01826
Holistically-Attracted Wireframe Parsing

论文地址：https://arxiv.org/abs/2003.01663
AdderNet: Do We Really Need Multiplications in Deep Learning?

论文地址：https://arxiv.org/abs/1912.13200
CARS: Contunuous Evolution for Efficient Neural Architecture Search

论文地址：https://arxiv.org/abs/1909.04977

代码：https://github.com/huawei-noah/CARS
Π-nets: Deep Polynomial Neural Networksv

论文地址：https://arxiv.org/abs/2003.03828

超分辨率

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

论文地址：https://arxiv.org/abs/2002.11616

视觉常识

Visual Commonsense R-CNN

论文地址：https://arxiv.org/abs/2002.12204

代码：https://github.com/Wangt-CN/VC-R-CNN
Scalable Uncertainty for Computer Vision with Functional Variational Inference

论文地址：https://arxiv.org/abs/2003.03396
Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective

论文地址：https://arxiv.org/abs/2002.10826
Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs

论文地址：https://arxiv.org/abs/2003.00287
Filter Grafting for Deep Neural Networks

论文地址：https://arxiv.org/abs/2001.05868

代码：https://github.com/fxmeng/filter-grafting.git
12-in-1: Multi-Task Vision and Language Representation Learning

论文地址：https://arxiv.org/abs/1912.02315
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training

论文地址：https://arxiv.org/abs/2002.10638

代码：https://github.com/weituo12321/PREVALENT
Unbiased Scene Graph Generation from Biased Training

论文地址：https://arxiv.org/abs/2002.11949