CVPR2020在2月24日公布了所有接受論文ID，相關(guān)報(bào)道：https://mp.weixin.qq.com/s/HGxhcVvMWWMliqOoBZPQ-w。自論文ID公布以來(lái)，許多開(kāi)發(fā)者都分享了自己的優(yōu)秀工作。

從論文ID公布以來(lái)，極市一直在對(duì)CVPR進(jìn)行實(shí)時(shí)跟進(jìn)，本文是對(duì)80篇CVPR2020論文整理和分類，均有論文鏈接，部分含開(kāi)源代碼，涵蓋的方向有：目標(biāo)檢測(cè)、目標(biāo)跟蹤、圖像分割、人臉識(shí)別、姿態(tài)估計(jì)、三維點(diǎn)云、視頻分析、模型加速、GAN、OCR等方向，文末還有論文合集打包下載，分享給大家學(xué)習(xí)。

此外，我們也會(huì)在Github和極市社區(qū)上保持更新，歡迎大家關(guān)注：https://github.com/extreme-assistant/cvpr2020/blob/master/CVPR2020.md

目標(biāo)檢測(cè)

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

人臉識(shí)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(biāo)跟蹤

1.ROAM: Recurrently Optimizing Tracking Model

論文地址：https://arxiv.org/abs/1907.12006?

三維點(diǎn)云&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

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?

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

姿態(tài)估計(jì)

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

視頻分析

1.?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

2. 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

3. Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning

論文地址：https://arxiv.org/abs/2003.00392

4.?Object Relational Graph with Teacher-Recommended Learning for Video Captioning

論文地址：https://arxiv.org/abs/2002.11566

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

論文地址：https://arxiv.org/abs/2002.11616

6.?Blurry Video Frame Interpolation

論文地址：https://arxiv.org/abs/2002.12259

7.?Hierarchical Conditional Relation Networks for Video Question Answering

論文地址：https://arxiv.org/abs/2002.10698???

8.?Action Modifiers:Learning from Adverbs in Instructional Video

論文地址：https://arxiv.org/abs/1912.06617 ? ??

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

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(jiān)督&無(wú)監(jiān)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(jīng)網(wǎng)絡(luò)

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(jué)常識(shí)

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/2003.03134https://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 ofVisual 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

為了方便大家閱讀，小極已經(jīng)將全部論文下載并打包。關(guān)注?極市平臺(tái)?公眾號(hào)，回復(fù)?CVPR2020?即可獲取下載鏈接。同時(shí)，歡迎登陸極市社區(qū)：http://bbs.cvmart.net/articles/1538，后續(xù)論文收錄會(huì)在這里?保持更新。