重磅 ！ CVPR2020最新計算機視覺論文代碼分類打包下載

日前，計算機視覺三大頂會之一CVPR2020接收結果已經公佈，一共有1470篇論文被接收，接收率爲22%，相比去年降低3個百分點，競爭越來越激烈。這裏和大家分享整理的論文和代碼資源，文末有資源的打包下載鏈接。

一、CVPR 2020

CVPR 2020 將在西雅圖舉行，時間是 6 月 13-19 日。大會主席是 Gerard Medioni(南加州大學 & 亞馬遜研究負責人，Amazon Go)，Ramin Zabih(康奈爾大學)和 Terry Boult(科羅拉多斯普林斯分校)程序主席是劉策(谷歌 & MIT)、Greg Mori(加拿大西蒙弗雷澤大學)，Kate Saenko(波士頓大學) 和 Silvio Savarese(斯坦福大學)。其中，華人程序主席劉策清華大學本碩，在 MIT 取得博士學位（CSAIL），2014 年加入谷歌，現任資深研究科學家。除了出任 CVPR 2020 聯席程序主席，劉策還在 CVPR 2017 和 ICCV 2015 擔任領域主席。

計算機視覺頂會CVPR2020官方今日發佈接收論文列表（編號）：http://cvpr2020.thecvf.com/sites/default/files/2020-02/accepted_list.txt

二、 CVPR 2020論文分類

目標檢測

1. Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
   論文地址：https://arxiv.org/abs/1912.02424
   代碼：https://github.com/sfzhang15/ATSS

2. Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
   論文地址：https://arxiv.org/abs/1908.01998

圖像分割

1. Semi-Supervised Semantic Image Segmentation with Self-correcting Networks
   論文地址：https://arxiv.org/abs/1811.07073

2. Deep Snake for Real-Time Instance Segmentation
   論文地址：https://arxiv.org/abs/2001.01629

3. CenterMask : Real-Time Anchor-Free Instance Segmentation
   論文地址：https://arxiv.org/abs/1911.06667
   代碼：https://github.com/youngwanLEE/CenterMask

4. SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks
   論文地址：https://arxiv.org/abs/2003.00678

5. PolarMask: Single Shot Instance Segmentation with Polar Representation
   論文地址：https://arxiv.org/abs/1909.13226
   代碼：https://github.com/xieenze/PolarMask

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

7. BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
   論文地址：https://arxiv.org/abs/2001.00309

8. Visual Commonsense R-CNN
   論文地址：https://arxiv.org/abs/2002.12204

9. Out-of-distribution
   論文地址：https://arxiv.org/abs/2002.11297

人臉識別

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

2. Suppressing Uncertainties for Large-Scale Facial Expression Recognition
   論文地址：https://arxiv.org/abs/2002.10392
   代碼：https://github.com/kaiwang960112/Self-Cure-Network

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

目標跟蹤

1. ROAM: Recurrently Optimizing Tracking Model
   論文地址：https://arxiv.org/abs/1907.12006

三維點雲&重建

1. PF-Net: Point Fractal Network for 3D Point Cloud Completion
   論文地址：https://arxiv.org/abs/2003.00410

2. PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
   論文地址：https://arxiv.org/abs/2002.10876
   代碼：https://github.com/liruihui/PointAugment/

3. Learning multiview 3D point cloud registration
   論文地址：https://arxiv.org/abs/2001.05119

4. C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds
   論文地址：https://arxiv.org/abs/1912.07009

5. RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
   論文地址：https://arxiv.org/abs/1911.11236

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

7. Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
   論文地址：https://arxiv.org/abs/2003.01456

8. In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks
   論文地址：https://arxiv.org/pdf/1911.11924.pdf

姿態估計

1. VIBE: Video Inference for Human Body Pose and Shape Estimation
   論文地址：https://arxiv.org/abs/1912.05656
   代碼：https://github.com/mkocabas/VIBE

2. Distribution-Aware Coordinate Representation for Human Pose Estimation
   論文地址：https://arxiv.org/abs/1910.06278
   代碼：https://github.com/ilovepose/DarkPose

3. 4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras
   論文地址：https://arxiv.org/abs/2002.12625

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

5. D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
   論文地址：https://arxiv.org/abs/2003.01060

6. Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
   論文地址：https://arxiv.org/abs/2001.09691

7. Distribution Aware Coordinate Representation for Human Pose Estimation
   論文地址：https://arxiv.org/abs/1910.06278

8. The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation
   論文地址：https://arxiv.org/abs/1911.07524

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

GAN

1. Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
   論文地址：https://arxiv.org/abs/1911.12287
   代碼：https://github.com/giannisdaras/ylg

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

3. Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory
   論文地址：https://arxiv.org/abs/1911.04636

小樣本&零樣本

1. Improved Few-Shot Visual Classification
   論文地址：https://arxiv.org/pdf/1912.03432.pdf
2. Meta-Transfer Learning for Zero-Shot Super-Resolution
   論文地址：https://arxiv.org/abs/2002.12213

弱監督&無監督

1. Rethinking the Route Towards Weakly Supervised Object Localization
   論文地址：https://arxiv.org/abs/2002.11359
2. NestedVAE: Isolating Common Factors via Weak Supervision
   論文地址：https://arxiv.org/abs/2002.11576
3. Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
   論文地址：https://arxiv.org/abs/1911.07450
4. Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
   論文地址：https://arxiv.org/abs/2003.01460

神經網絡

1. Visual Commonsense R-CNN
   論文地址：https://arxiv.org/abs/2002.12204

2. GhostNet: More Features from Cheap Operations
   論文地址：https://arxiv.org/abs/1911.11907
   代碼：https://github.com/iamhankai/ghostnet

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

模型加速

1. GPU-Accelerated Mobile Multi-view Style Transfer
   論文地址：https://arxiv.org/abs/2003.00706

視覺常識

1. What it Thinks is Important is Important: Robustness Transfers through Input Gradients
   論文地址：https://arxiv.org/abs/1912.05699
2. Attentive Context Normalization for Robust Permutation-Equivariant Learning
   論文地址：https://arxiv.org/abs/1907.02545
3. Bundle Adjustment on a Graph Processor
   論文地址：https://arxiv.org/abs/2003.03134 https://github.com/joeaortiz/gbp
4. Transferring Dense Pose to Proximal Animal Classes
   論文地址：https://arxiv.org/abs/2003.00080
5. Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs
   論文地址：https://arxiv.org/abs/2003.00287
6. Learning in the Frequency Domain
   論文地址：https://arxiv.org/abs/2002.12416
7. Filter Grafting for Deep Neural Networks
   論文地址：https://arxiv.org/pdf/2001.05868.pdf
8. ClusterFit: Improving Generalization of Visual Representations
   論文地址：https://arxiv.org/abs/1912.03330
9. Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
   論文地址：https://arxiv.org/abs/2002.11927
10. Auto-Encoding Twin-Bottleneck Hashing
    論文地址：https://arxiv.org/abs/2002.11930
11. Learning Representations by Predicting Bags of Visual Words
    論文地址：https://arxiv.org/abs/2002.12247
12. Holistically-Attracted Wireframe Parsing
    論文地址：https://arxiv.org/abs/2003.01663
13. A General and Adaptive Robust Loss Function
    論文地址：https://arxiv.org/abs/1701.03077
14. A Characteristic Function Approach to Deep Implicit Generative Modeling
    論文地址：https://arxiv.org/abs/1909.07425
15. AdderNet: Do We Really Need Multiplications in Deep Learning?
    論文地址：https://arxiv.org/pdf/1912.13200
16. 12-in-1: Multi-Task Vision and Language Representation Learning
    論文地址：https://arxiv.org/abs/1912.02315
17. Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
    論文地址：https://arxiv.org/abs/1912.09393
18. CARS: Contunuous Evolution for Efficient Neural Architecture Search
    論文地址：https://arxiv.org/pdf/1909.04977.pdf
    代碼：https://github.com/huawei-noah/CARS
19. Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training
    論文地址：https://arxiv.org/abs/2002.10638
    代碼：https://github.com/weituo12321/PREVALENT

OCR

1. ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
   論文地址：https://arxiv.org/abs/2002.10200
   代碼：https://github.com/Yuliang-Liu/bezier_curve_text_spotting,https://github.com/aim-uofa/adet

圖像分類

1. Self-training with Noisy Student improves ImageNet classification
   論文地址：https://arxiv.org/abs/1911.04252

2. Image Matching across Wide Baselines: From Paper to Practice
   論文地址：https://arxiv.org/abs/2003.01587

3. Towards Robust Image Classification Using Sequential Attention Models
   論文地址：https://arxiv.org/abs/1912.02184

4. 視頻分析
   Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
   論文地址：https://arxiv.org/abs/2003.01455
   代碼：https://github.com/bbrattoli/ZeroShotVideoClassification

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

6. Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
   論文地址：https://arxiv.org/abs/2003.00392

7. Object Relational Graph with Teacher-Recommended Learning for Video Captioning
   論文地址：https://arxiv.org/abs/2002.11566

8. Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
   論文地址：https://arxiv.org/abs/2002.11616

9. Blurry Video Frame Interpolation
   論文地址：https://arxiv.org/abs/2002.12259

10. Hierarchical Conditional Relation Networks for Video Question Answering
    論文地址：https://arxiv.org/abs/2002.10698

11. Action Modifiers:Learning from Adverbs in Instructional Video
    論文地址：https://arxiv.org/abs/1912.06617

圖像處理

1. Learning to Shade Hand-drawn Sketches
   論文地址：https://arxiv.org/abs/2002.11812

2. Single Image Reflection Removal through Cascaded Refinement
   論文地址：https://arxiv.org/abs/1911.06634

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

4. Deep Image Harmonization via Domain Verification
   論文地址：https://arxiv.org/abs/1911.13239
   代碼：https://github.com/bcmi/Image_Harmonization_Datasets

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

6. Blurry Video Frame Interpolation
   論文地址：https://arxiv.org/abs/2002.12259

三、資源打包下載

微信搜索“老和山算法指南”獲取下載鏈接與技術交流羣

後臺回覆“cvpr2020”下載資源，有問題可以私信博主，點贊關注的一般都會回覆，一起努力，謝謝支持。