CVPR 2020 全部论文 分类汇总和打包下载

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：

附赠小彩蛋 *PyTorch 1.4 文档 强化学习文档 ScikitLearn文档，全是最新版~~~~ 关注后手机端阅读 ~~~*

总目录

图像处理

1. Deep Image Harmonization via Domain Verification
   论文：https://arxiv.org/abs/1911.13239
   代码：https://github.com/bcmi/Image_Harmonization_Datasets

2. Learning to Shade Hand-drawn Sketches
   论文：https://arxiv.org/abs/2002.11812

3. Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
   论文：https://arxiv.org/abs/2002.11297

4. Single Image Reflection Removal through Cascaded Refinement
   论文：https://arxiv.org/abs/1911.06634

5. RoutedFusion: Learning Real-time Depth Map Fusion
   论文：https://arxiv.org/pdf/2001.04388.pdf

图像分类

1. Towards Robust Image Classification Using Sequential Attention Models
   论文：https://arxiv.org/abs/1912.02184

2. Self-training with Noisy Student improves ImageNet classification
   论文：https://arxiv.org/abs/1911.04252

3. Image Matching across Wide Baselines: From Paper to Practice
   论文：https://arxiv.org/abs/2003.01587

4. Improved Few-Shot Visual Classification
   论文：https://arxiv.org/pdf/1912.03432.pdf

5. A General and Adaptive Robust Loss Function
   论文：https://arxiv.org/abs/1701.03077

6. Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
   论文：https://arxiv.org/abs/1912.09393

目标检测和分割

1. Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
   论文：https://arxiv.org/abs/1908.01998

2. 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

3. Semi-Supervised Semantic Image Segmentation with Self-correcting Networks
   论文：https://arxiv.org/abs/1811.07073

4. Deep Snake for Real-Time Instance Segmentation
   论文：https://arxiv.org/abs/2001.01629

5. SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks
   论文：https://arxiv.org/abs/2003.00678

6. xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
   论文：https://arxiv.org/abs/1911.12676

7. CenterMask : Real-Time Anchor-Free Instance Segmentation
   论文：https://arxiv.org/abs/1911.06667
   代码：https://github.com/youngwanLEE/CenterMask

8. PolarMask: Single Shot Instance Segmentation with Polar Representation
   论文：https://arxiv.org/abs/1909.13226
   代码：https://github.com/xieenze/PolarMask

9. BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
   论文：https://arxiv.org/abs/2001.00309

视觉目标跟踪

1. ROAM: Recurrently Optimizing Tracking Model
   论文：https://arxiv.org/abs/1907.12006

视频内容分析(理解)

1. Hierarchical Conditional Relation Networks for Video Question Answering
   论文：https://arxiv.org/abs/2002.10698

2. 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

3. Action Modifiers:Learning from Adverbs in Instructional Video
   论文：https://arxiv.org/abs/1912.06617

4. Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
   论文：https://arxiv.org/abs/2003.00392

5. Blurry Video Frame Interpolation
   论文：https://arxiv.org/abs/2002.12259

6. Object Relational Graph with Teacher-Recommended Learning for Video Captioning
   论文：https://arxiv.org/abs/2002.11566

7. Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
   论文：https://arxiv.org/abs/2003.00387

8. Learning Representations by Predicting Bags of Visual Words
   论文：https://arxiv.org/abs/2002.12247

9. 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

1. Distribution-Aware Coordinate Representation for Human Pose Estimation
   论文：https://arxiv.org/abs/1910.06278
   代码：https://github.com/ilovepose/DarkPose

2. 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

3. The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation
   论文：https://arxiv.org/abs/1911.07524

4. Optimal least-squares solution to the hand-eye calibration problem
   论文：https://arxiv.org/abs/2002.10838

5. Distribution Aware Coordinate Representation for Human Pose Estimation
   论文：https://arxiv.org/abs/1910.06278

6. D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
   论文：https://arxiv.org/abs/2003.01060

7. Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
   论文：https://arxiv.org/abs/2001.09691

8. PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
   论文：https://arxiv.org/abs/1911.04231

9. 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

1. 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

1. GhostNet: More Features from Cheap Operations
   论文：https://arxiv.org/abs/1911.11907
   代码：https://github.com/iamhankai/ghostnet

2. 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

3. Visual Commonsense R-CNN
   论文：https://arxiv.org/abs/2002.12204

4. Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral
   论文：https://arxiv.org/abs/2003.01826

5. AdderNet: Do We Really Need Multiplications in Deep Learning?
   论文：https://arxiv.org/pdf/1912.13200

6. Filter Grafting for Deep Neural Networks
   论文：https://arxiv.org/pdf/2001.05868.pdf

生成对抗GAN

1. 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

2. MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis
   论文：https://arxiv.org/abs/1903.06048

3. 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

1. PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
   论文：https://arxiv.org/abs/2002.10876
   代码：https://github.com/liruihui/PointAugment/

2. PF-Net: Point Fractal Network for 3D Point Cloud Completion
   论文：https://arxiv.org/abs/2003.00410

3. Learning multiview 3D point cloud registration
   论文：https://arxiv.org/abs/2001.05119

4. Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image
   论文：https://arxiv.org/abs/2002.12212

5. In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks
   论文：https://arxiv.org/pdf/1911.11924.pdf

6. RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
   论文：https://arxiv.org/abs/1911.11236

7. C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds
   论文：https://arxiv.org/abs/1912.07009

8. Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs
   论文：https://arxiv.org/abs/2003.00287

9. 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

1. 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

1. Meta-Transfer Learning for Zero-Shot Super-Resolution
   论文：https://arxiv.org/abs/2002.12213

2. Transferring Dense Pose to Proximal Animal Classes
   论文：https://arxiv.org/abs/2003.00080

弱监督 & 无监督学习

1. Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
   论文：https://arxiv.org/abs/1911.07450

2. Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
   论文：https://arxiv.org/abs/2003.01460

3. Rethinking the Route Towards Weakly Supervised Object Localization
   论文：https://arxiv.org/abs/2002.11359

4. NestedVAE: Isolating Common Factors via Weak Supervision
   论文：https://arxiv.org/abs/2002.11576

人脸识别

1. Towards Universal Representation Learning for Deep Face Recognition
   论文：https://arxiv.org/abs/2002.11841

2. 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

3. Face X-ray for More General Face Forgery Detection
   论文：https://arxiv.org/pdf/1912.13458.pdf

图神经网络GNN

1. Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
   论文：https://arxiv.org/abs/2002.11927

2. 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

1. 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

2. 12-in-1: Multi-Task Vision and Language Representation Learning
   论文：https://arxiv.org/abs/1912.02315

3. Hierarchical Conditional Relation Networks for Video Question Answering
   论文：https://arxiv.org/abs/2002.10698

其他问题研究

1. What it Thinks is Important is Important: Robustness Transfers through Input Gradients
   论文：https://arxiv.org/abs/1912.05699

2. Holistically-Attracted Wireframe Parsing
   论文：https://arxiv.org/abs/2003.01663

3. Attentive Context Normalization for Robust Permutation-Equivariant Learning
   论文：https://arxiv.org/abs/1907.02545

4. ClusterFit: Improving Generalization of Visual Representations
   论文：https://arxiv.org/abs/1912.03330

5. Learning in the Frequency Domain
   论文：https://arxiv.org/abs/2002.12416

6. A Characteristic Function Approach to Deep Implicit Generative Modeling
   论文：https://arxiv.org/abs/1909.07425

7. 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~~~~