CVPR 2020 共收录 1470篇文章，根据当前的公布情况，人工智能学社整理了以下约100篇，分享给读者。
代码开源情况：详见每篇注释，当前共15篇开源。(持续更新中，可关注了解)。
算法主要领域：图像与视频处理，图像分类&检测&分割、视觉目标跟踪、视频内容分析、人体姿态估计、模型加速、网络架构搜索(NAS)、生成对抗(GAN)、光学字符识别(OCR)、人脸识别、三维重建等方向。 目录如下：
总目录
图像处理
Deep Image Harmonization via Domain Verification
论文：https://arxiv.org/abs/1911.13239
代码：https://github.com/bcmi/Image_Harmonization_Datasets
Learning to Shade Hand-drawn Sketches
论文：https://arxiv.org/abs/2002.11812
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
论文：https://arxiv.org/abs/2002.11297
Single Image Reflection Removal through Cascaded Refinement
论文：https://arxiv.org/abs/1911.06634
RoutedFusion: Learning Real-time Depth Map Fusion
论文：https://arxiv.org/pdf/2001.04388.pdf
图像分类
Towards Robust Image Classification Using Sequential Attention Models
论文：https://arxiv.org/abs/1912.02184
Self-training with Noisy Student improves ImageNet classification
论文：https://arxiv.org/abs/1911.04252
Image Matching across Wide Baselines: From Paper to Practice
论文：https://arxiv.org/abs/2003.01587
Improved Few-Shot Visual Classification
论文：https://arxiv.org/pdf/1912.03432.pdf
A General and Adaptive Robust Loss Function
论文：https://arxiv.org/abs/1701.03077
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
论文：https://arxiv.org/abs/1912.09393
目标检测和分割
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
论文：https://arxiv.org/abs/1908.01998
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
论文：https://arxiv.org/abs/1912.02424
代码：https://github.com/sfzhang15/ATSS
Semi-Supervised Semantic Image Segmentation with Self-correcting Networks
论文：https://arxiv.org/abs/1811.07073
Deep Snake for Real-Time Instance Segmentation
论文：https://arxiv.org/abs/2001.01629
SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks
论文：https://arxiv.org/abs/2003.00678
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
论文：https://arxiv.org/abs/1911.12676
CenterMask : Real-Time Anchor-Free Instance Segmentation
论文：https://arxiv.org/abs/1911.06667
代码：https://github.com/youngwanLEE/CenterMask
PolarMask: Single Shot Instance Segmentation with Polar Representation
论文：https://arxiv.org/abs/1909.13226
代码：https://github.com/xieenze/PolarMask
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
论文：https://arxiv.org/abs/2001.00309
视觉目标跟踪
- ROAM: Recurrently Optimizing Tracking Model
论文：https://arxiv.org/abs/1907.12006
视频内容分析(理解)
Hierarchical Conditional Relation Networks for Video Question Answering
论文：https://arxiv.org/abs/2002.10698
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
论文：https://arxiv.org/abs/2003.01455
代码：https://github.com/bbrattoli/ZeroShotVideoClassification
Action Modifiers:Learning from Adverbs in Instructional Video
论文：https://arxiv.org/abs/1912.06617
Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
论文：https://arxiv.org/abs/2003.00392
Blurry Video Frame Interpolation
论文：https://arxiv.org/abs/2002.12259
Object Relational Graph with Teacher-Recommended Learning for Video Captioning
论文：https://arxiv.org/abs/2002.11566
Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
论文：https://arxiv.org/abs/2003.00387
Learning Representations by Predicting Bags of Visual Words
论文：https://arxiv.org/abs/2002.12247
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
论文：https://arxiv.org/abs/2002.11616
人体关键点检测和姿态估计
Distribution-Aware Coordinate Representation for Human Pose Estimation
论文：https://arxiv.org/abs/1910.06278
代码：https://github.com/ilovepose/DarkPose
VIBE: Video Inference for Human Body Pose and Shape Estimation
论文：https://arxiv.org/abs/1912.05656
代码：https://github.com/mkocabas/VIBE
The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation
论文：https://arxiv.org/abs/1911.07524
Optimal least-squares solution to the hand-eye calibration problem
论文：https://arxiv.org/abs/2002.10838
Distribution Aware Coordinate Representation for Human Pose Estimation
论文：https://arxiv.org/abs/1910.06278
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
论文：https://arxiv.org/abs/2003.01060
Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
论文：https://arxiv.org/abs/2001.09691
PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
论文：https://arxiv.org/abs/1911.04231
4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras
论文：https://arxiv.org/abs/2002.12625
模型轻量化和加速
- GPU-Accelerated Mobile Multi-view Style Transfer
论文：https://arxiv.org/abs/2003.00706
神经网络架构设计和搜索NAS
GhostNet: More Features from Cheap Operations
论文：https://arxiv.org/abs/1911.11907
代码：https://github.com/iamhankai/ghostnet
CARS: Contunuous Evolution for Efficient Neural Architecture Search
论文：https://arxiv.org/pdf/1909.04977.pdf
代码：https://github.com/huawei-noah/CARS
Visual Commonsense R-CNN
论文：https://arxiv.org/abs/2002.12204
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral
论文：https://arxiv.org/abs/2003.01826
AdderNet: Do We Really Need Multiplications in Deep Learning?
论文：https://arxiv.org/pdf/1912.13200
Filter Grafting for Deep Neural Networks
论文：https://arxiv.org/pdf/2001.05868.pdf
生成对抗GAN
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
论文：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：https://arxiv.org/abs/1903.06048
Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory
论文：https://arxiv.org/abs/1911.04636
三维点云&3D重建
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
论文：https://arxiv.org/abs/2002.10876
代码：https://github.com/liruihui/PointAugment/
PF-Net: Point Fractal Network for 3D Point Cloud Completion
论文：https://arxiv.org/abs/2003.00410
Learning multiview 3D point cloud registration
论文：https://arxiv.org/abs/2001.05119
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image
论文：https://arxiv.org/abs/2002.12212
In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks
论文：https://arxiv.org/pdf/1911.11924.pdf
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
论文：https://arxiv.org/abs/1911.11236
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds
论文：https://arxiv.org/abs/1912.07009
Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs
论文：https://arxiv.org/abs/2003.00287
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
论文：https://arxiv.org/abs/2003.01456
光学字符识别OCR
- ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
论文：https://arxiv.org/abs/2002.10200
代码：https://github.com/Yuliang-Liu/bezier_curve_text_spotting,https://github.com/aim-uofa/adet
迁移学习
Meta-Transfer Learning for Zero-Shot Super-Resolution
论文：https://arxiv.org/abs/2002.12213
Transferring Dense Pose to Proximal Animal Classes
论文：https://arxiv.org/abs/2003.00080
弱监督 & 无监督学习
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
论文：https://arxiv.org/abs/1911.07450
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
论文：https://arxiv.org/abs/2003.01460
Rethinking the Route Towards Weakly Supervised Object Localization
论文：https://arxiv.org/abs/2002.11359
NestedVAE: Isolating Common Factors via Weak Supervision
论文：https://arxiv.org/abs/2002.11576
人脸识别
Towards Universal Representation Learning for Deep Face Recognition
论文：https://arxiv.org/abs/2002.11841
Suppressing Uncertainties for Large-Scale Facial Expression Recognition
论文：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：https://arxiv.org/pdf/1912.13458.pdf
图神经网络GNN
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
论文：https://arxiv.org/abs/2002.11927
Bundle Adjustment on a Graph Processor
论文：https://arxiv.org/abs/2003.03134
代码：https://github.com/joeaortiz/gbp
视觉 & 语言 混合任务研究
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training
论文：https://arxiv.org/abs/2002.10638
代码：https://github.com/weituo12321/PREVALENT
12-in-1: Multi-Task Vision and Language Representation Learning
论文：https://arxiv.org/abs/1912.02315
Hierarchical Conditional Relation Networks for Video Question Answering
论文：https://arxiv.org/abs/2002.10698
其他问题研究
What it Thinks is Important is Important: Robustness Transfers through Input Gradients
论文：https://arxiv.org/abs/1912.05699
Holistically-Attracted Wireframe Parsing
论文：https://arxiv.org/abs/2003.01663
Attentive Context Normalization for Robust Permutation-Equivariant Learning
论文：https://arxiv.org/abs/1907.02545
ClusterFit: Improving Generalization of Visual Representations
论文：https://arxiv.org/abs/1912.03330
Learning in the Frequency Domain
论文：https://arxiv.org/abs/2002.12416
A Characteristic Function Approach to Deep Implicit Generative Modeling
论文：https://arxiv.org/abs/1909.07425
Auto-Encoding Twin-Bottleneck Hashing
论文：https://arxiv.org/abs/2002.11930
论文打包下载地址
链接：https://pan.baidu.com/s/1lo3smbFWiBSNnut9JssYaQ
提取码：公众号内回复 cvpr2020
论文包中有彩蛋一枚~~~~
