CVPR2020 論文已經在官網上線了！大會5天后正式開始
http://openaccess.thecvf.com/CVPR2020.py
轉自微信公衆號： “ 目標檢測與跟蹤基礎前沿 “
**
” 目標跟蹤基礎與智能前沿 “
**
點擊上方鏈接，掃碼關注，回覆“CVPR”，即可獲得下載鏈接
人臉檢測/識別/重建
Towards Universal Representation Learning for Deep Face Recognition
論文：https://arxiv.org/abs/2002.11841
Suppressing Uncertainties for Large-Scale Facial Expression Recognition
論文：https://arxiv.org/abs/2002.10392
代碼：https://github.com/kaiwang960112/Self-Cure-Network
Face X-ray for More General Face Forgery Detection
論文：https://arxiv.org/pdf/1912.13458.pdf
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
論文：https://arxiv.org/abs/2004.00288
代碼：https://github.com/HuangYG123/CurricularFace
Learning Meta Face Recognition in Unseen Domains
論文：https://arxiv.org/abs/2003.07733
代碼：https://github.com/cleardusk/MFR
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
論文：https://arxiv.org/abs/2003.04092
代碼：https://github.com/ZitongYu/CDCN
Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images
論文：https://arxiv.org/abs/2003.08124
代碼：https://github.com/Hangz-nju-cuhk/Rotate-and-Render
AvatarMe: Realistically Renderable 3D Facial Reconstruction “in-the-wild”
論文：https://arxiv.org/abs/2003.13845
代碼：https://github.com/lattas/AvatarMe
FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
論文：https://arxiv.org/abs/2003.13989
代碼：https://github.com/zhuhao-nju/facescape
目標檢測/分割/跟蹤
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
論文：https://arxiv.org/abs/1908.01998
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
論文：https://arxiv.org/abs/1912.02424
代碼：https://github.com/sfzhang15/ATSS
Semi-Supervised Semantic Image Segmentation with Self-correcting Networks
論文：https://arxiv.org/abs/1811.07073
Deep Snake for Real-Time Instance Segmentation
論文：https://arxiv.org/abs/2001.01629
SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks
論文：https://arxiv.org/abs/2003.00678
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
論文：https://arxiv.org/abs/1911.12676
CenterMask : Real-Time Anchor-Free Instance Segmentation
論文：https://arxiv.org/abs/1911.06667
代碼：https://github.com/youngwanLEE/CenterMask
PolarMask: Single Shot Instance Segmentation with Polar Representation
論文：https://arxiv.org/abs/1909.13226
代碼：https://github.com/xieenze/PolarMask
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
論文：https://arxiv.org/abs/2001.00309
ROAM: Recurrently Optimizing Tracking Model
論文：https://arxiv.org/abs/1907.12006
圖像處理
Deep Image Harmonization via Domain Verification
論文：https://arxiv.org/abs/1911.13239
代碼：https://github.com/bcmi/Image_Harmonization_Datasets
Learning to Shade Hand-drawn Sketches
論文：https://arxiv.org/abs/2002.11812
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
論文：https://arxiv.org/abs/2002.11297
Single Image Reflection Removal through Cascaded Refinement
論文：https://arxiv.org/abs/1911.06634
RoutedFusion: Learning Real-time Depth Map Fusion
論文：https://arxiv.org/pdf/2001.04388.pdf
圖像分類
Towards Robust Image Classification Using Sequential Attention Models
論文：https://arxiv.org/abs/1912.02184
Spatially Attentive Output Layer for Image Classification
https://arxiv.org/abs/2004.07570
Self-training with Noisy Student improves ImageNet classification
論文：https://arxiv.org/abs/1911.04252
Image Matching across Wide Baselines: From Paper to Practice
論文：https://arxiv.org/abs/2003.01587
Improved Few-Shot Visual Classification
論文：https://arxiv.org/pdf/1912.03432.pdf
A General and Adaptive Robust Loss Function
論文：https://arxiv.org/abs/1701.03077
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
論文：https://arxiv.org/abs/1912.09393
視頻內容分析
Hierarchical Conditional Relation Networks for Video Question Answering
論文：https://arxiv.org/abs/2002.10698
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
論文：https://arxiv.org/abs/2003.01455
代碼：https://github.com/bbrattoli/ZeroShotVideoClassification
Action Modifiers:Learning from Adverbs in Instructional Video
論文：https://arxiv.org/abs/1912.06617
Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
論文：https://arxiv.org/abs/2003.00392
Blurry Video Frame Interpolation
論文：https://arxiv.org/abs/2002.12259
Object Relational Graph with Teacher-Recommended Learning for Video Captioning
論文：https://arxiv.org/abs/2002.11566
Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
論文：https://arxiv.org/abs/2003.00387
Learning Representations by Predicting Bags of Visual Words
論文：https://arxiv.org/abs/2002.12247
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
論文：https://arxiv.org/abs/2002.11616
3DV: 3D Dynamic Voxel for Action Recognition in Depth Video
論文：https://arxiv.org/abs/2005.05501
代碼：https://github.com/3huo/3DV-Action
FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding
主頁：https://sdolivia.github.io/FineGym/
論文：https://arxiv.org/abs/2004.06704
人體關鍵點檢測/姿態估計
Correlating Edge, Pose with Parsing
論文：https://arxiv.org/abs/2005.01431
代碼：https://github.com/ziwei-zh/CorrPM
Distribution-Aware Coordinate Representation for Human Pose Estimation
論文：https://arxiv.org/abs/1910.06278
代碼：https://github.com/ilovepose/DarkPose
VIBE: Video Inference for Human Body Pose and Shape Estimation
論文：https://arxiv.org/abs/1912.05656
代碼：https://github.com/mkocabas/VIBE
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
論文：https://arxiv.org/abs/2004.04400
The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation
論文：https://arxiv.org/abs/1911.07524
Optimal least-squares solution to the hand-eye calibration problem
論文：https://arxiv.org/abs/2002.10838
Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data
論文：https://arxiv.org/abs/2004.01166
代碼：https://github.com/Healthcare-Robotics/bodies-at-rest
Distribution Aware Coordinate Representation for Human Pose Estimation
論文：https://arxiv.org/abs/1910.06278
Back to the Future: Joint Aware Temporal Deep Learning 3D Human Pose Estimation
論文：https://arxiv.org/abs/2002.11251
代碼：https://github.com/vnmr/JointVideoPose3D
Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
論文：https://arxiv.org/abs/2003.03972
Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
論文：https://arxiv.org/abs/2001.09691
PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
論文：https://arxiv.org/abs/1911.04231
4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras
論文：https://arxiv.org/abs/2002.12625
模型輕量化和加速
GPU-Accelerated Mobile Multi-view Style Transfer
論文：https://arxiv.org/abs/2003.00706
DMCP: Differentiable Markov Channel Pruning for Neural Networks
論文：https://arxiv.org/abs/2005.03354
代碼：https://github.com/zx55/dmcp
Forward and Backward Information Retention for Accurate Binary Neural Networks
論文：https://arxiv.org/abs/1909.10788
代碼：https://github.com/htqin/IR-Net
Towards Efficient Model Compression via Learned Global Ranking
論文：https://arxiv.org/abs/1904.12368
代碼：https://github.com/cmu-enyac/LeGR
HRank: Filter Pruning using High-Rank Feature Map
論文：http://arxiv.org/abs/2002.10179
代碼：https://github.com/lmbxmu/HRank
GAN Compression: Efficient Architectures for Interactive Conditional GANs
論文：https://arxiv.org/abs/2003.08936
代碼：https://github.com/mit-han-lab/gan-compression
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
論文：https://arxiv.org/abs/2003.08935
代碼：https://github.com/ofsoundof/group_sparsity
神經網絡架構設計和搜索NAS
GhostNet: More Features from Cheap Operations
論文：https://arxiv.org/abs/1911.11907
代碼：https://github.com/iamhankai/ghostnet
CARS: Contunuous Evolution for Efficient Neural Architecture Search
論文：https://arxiv.org/pdf/1909.04977.pdf
代碼：https://github.com/huawei-noah/CARS
Visual Commonsense R-CNN
論文：https://arxiv.org/abs/2002.12204
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral
論文：https://arxiv.org/abs/2003.01826
AdderNet: Do We Really Need Multiplications in Deep Learning?
論文：https://arxiv.org/pdf/1912.13200
Filter Grafting for Deep Neural Networks
論文：https://arxiv.org/pdf/2001.05868.pdf
生成對抗GAN
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
論文：https://arxiv.org/abs/1911.12287
代碼：https://github.com/giannisdaras/ylg
MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis
論文：https://arxiv.org/abs/1903.06048
Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory
論文：https://arxiv.org/abs/1911.04636
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance
論文：https://arxiv.org/abs/1911.02466
代碼：https://github.com/ZhengyuZhao/PerC-Adversarial
點雲/3D重建/SLAM
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
論文：https://arxiv.org/abs/2003.03164
代碼：https://github.com/XuyangBai/D3Feat
RPM-Net: Robust Point Matching using Learned Features
論文：https://arxiv.org/abs/2003.13479
代碼：https://github.com/yewzijian/RPMNet
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
論文：https://arxiv.org/abs/2003.01060
Cascaded Refinement Network for Point Cloud Completion
論文：https://arxiv.org/abs/2004.03327
代碼：https://github.com/xiaogangw/cascaded-point-completion
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
論文：https://arxiv.org/abs/2002.10876
代碼：https://github.com/liruihui/PointAugment/
PF-Net: Point Fractal Network for 3D Point Cloud Completion
論文：https://arxiv.org/abs/2003.00410
Learning multiview 3D point cloud registration
論文：https://arxiv.org/abs/2001.05119
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image
論文：https://arxiv.org/abs/2002.12212
In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks
論文：https://arxiv.org/pdf/1911.11924.pdf
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
論文：https://arxiv.org/abs/1911.11236
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds
論文：https://arxiv.org/abs/1912.07009
Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs
論文：https://arxiv.org/abs/2003.00287
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
論文：https://arxiv.org/abs/2003.01456
文本識別OCR
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
論文：https://arxiv.org/abs/2002.10200
代碼：https://github.com/Yuliang-Liu/bezier_curve_text_spotting,https://github.com/aim-uofa/adet
Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection
論文：https://arxiv.org/abs/2003.07493
代碼：https://github.com/GXYM/DRRG
UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World
論文：https://arxiv.org/abs/2003.10608
代碼：https://github.com/Jyouhou/UnrealText/
Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition
論文：https://arxiv.org/abs/2003.06606
代碼：https://github.com/Canjie-Luo/Text-Image-Augmentation
弱監督 & 無監督學習
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
論文：https://arxiv.org/abs/1911.07450
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
論文：https://arxiv.org/abs/2003.01460
Rethinking the Route Towards Weakly Supervised Object Localization
論文：https://arxiv.org/abs/2002.11359
NestedVAE: Isolating Common Factors via Weak Supervision
論文：https://arxiv.org/abs/2002.11576
遷移學習
Meta-Transfer Learning for Zero-Shot Super-Resolution
論文：https://arxiv.org/abs/2002.12213
Transferring Dense Pose to Proximal Animal Classes
論文：https://arxiv.org/abs/2003.00080
圖神經網絡GNN
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
論文：https://arxiv.org/abs/2002.11927
Bundle Adjustment on a Graph Processor