CNN
Exploring Self-attention for Image Recognition
1 2 3 | 论文:https://hszhao.github.io/papers/cvpr20_san.pdf 代码:https://github.com/hszhao/SAN |
Improving Convolutional Networks with Self-Calibrated Convolutions
1 2 3 4 5 | 主页:https://mmcheng.net/scconv/ 论文:http://mftp.mmcheng.net/Papers/20cvprSCNet.pdf 代码:https://github.com/backseason/SCNet |
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets
1 2 | 论文:https://arxiv.org/abs/2003.13549 代码:https://github.com/zeiss-microscopy/BSConv |
图像分类
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion
1 2 | 论文:https://arxiv.org/abs/2003.04490 代码:https://github.com/AdamKortylewski/CompositionalNets |
Spatially Attentive Output Layer for Image Classification
1 2 | 论文:https://arxiv.org/abs/2004.07570 代码(好像被原作者删除了):https://github.com/ildoonet/spatially-attentive-output-layer |
目标检测
Dynamic Refinement Network for Oriented and Densely Packed Object Detection
1 2 | 论文:https://arxiv.org/abs/2005.09973 代码和数据集:https://github.com/Anymake/DRN_CVPR2020 |
Scale-Equalizing Pyramid Convolution for Object Detection
1 2 | 论文:https://arxiv.org/abs/2005.03101 代码:https://github.com/jshilong/SEPC |
Revisiting the Sibling Head in Object Detector
1 2 | 论文:https://arxiv.org/abs/2003.07540 代码:https://github.com/Sense-X/TSD |
Scale-equalizing Pyramid Convolution for Object Detection
1 2 | 论文:暂无 代码:https://github.com/jshilong/SEPC |
Detection in Crowded Scenes: One Proposal, Multiple Predictions
1 2 | 论文:https://arxiv.org/abs/2003.09163 代码:https://github.com/megvii-model/CrowdDetection |
Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection
1 2 | 论文:https://arxiv.org/abs/2004.04725 代码:https://github.com/NVlabs/wetectron |
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
1 2 | 论文:https://arxiv.org/abs/1912.02424 代码:https://github.com/sfzhang15/ATSS |
BiDet: An Efficient Binarized Object Detector
1 2 | 论文:https://arxiv.org/abs/2003.03961 代码:https://github.com/ZiweiWangTHU/BiDet |
Harmonizing Transferability and Discriminability for Adapting Object Detectors
1 2 | 论文:https://arxiv.org/abs/2003.06297 代码:https://github.com/chaoqichen/HTCN |
CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection
1 2 | 论文:https://arxiv.org/abs/2003.09119 代码:https://github.com/KiveeDong/CentripetalNet |
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection
1 2 | 论文:https://arxiv.org/abs/2003.11818 代码:https://github.com/ggjy/HitDet.pytorch |
EfficientDet: Scalable and Efficient Object Detection
1 2 | 论文:https://arxiv.org/abs/1911.09070 代码:https://github.com/google/automl/tree/master/efficientdet |
3D目标检测
Train in Germany, Test in The USA: Making 3D Object Detectors Generalize
1 2 | 论文:https://arxiv.org/abs/2005.08139 代码:https://github.com/cxy1997/3D_adapt_auto_driving |
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection
1 2 | 论文:https://arxiv.org/abs/2004.05679 代码:https://github.com/NUAAXQ/MLCVNet |
3DSSD: Point-based 3D Single Stage Object Detector
1 2 | 论文:https://arxiv.org/abs/2002.10187 代码:https://github.com/tomztyang/3DSSD |
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
1 2 | 论文:https://arxiv.org/abs/2004.03572 代码:https://github.com/zju3dv/disprcn |
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
1 2 | 论文:https://arxiv.org/abs/2004.03080 代码:https://github.com/mileyan/pseudo-LiDAR_e2e |
DSGN: Deep Stereo Geometry Network for 3D Object Detection
1 2 | 论文:https://arxiv.org/abs/2001.03398 代码:https://github.com/chenyilun95/DSGN |
LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention
1 2 | 论文:https://arxiv.org/abs/2004.01389 代码:https://github.com/yinjunbo/3DVID |
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
1 2 | 论文:https://arxiv.org/abs/1912.13192 代码:https://github.com/sshaoshuai/PV-RCNN |
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
1 2 | 论文:https://arxiv.org/abs/2003.01251 代码:https://github.com/WeijingShi/Point-GNN |
视频目标检测
Memory Enhanced Global-Local Aggregation for Video Object Detection
1 2 | 论文:https://arxiv.org/abs/2003.12063 代码:https://github.com/Scalsol/mega.pytorch |
目标跟踪
D3S – A Discriminative Single Shot Segmentation Tracker
1 2 | 论文:https://arxiv.org/abs/1911.08862 代码:https://github.com/alanlukezic/d3s |
ROAM: Recurrently Optimizing Tracking Model
1 2 | 论文:https://arxiv.org/abs/1907.12006 代码:https://github.com/skyoung/ROAM |
Siam R-CNN: Visual Tracking by Re-Detection
1 2 3 4 | 主页:https://www.vision.rwth-aachen.de/page/siamrcnn 论文:https://arxiv.org/abs/1911.12836 论文2:https://www.vision.rwth-aachen.de/media/papers/192/siamrcnn.pdf 代码:https://github.com/VisualComputingInstitute/SiamR-CNN |
Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises
1 2 | 论文:https://arxiv.org/abs/2003.09595 代码:https://github.com/MasterBin-IIAU/CSA |
High-Performance Long-Term Tracking with Meta-Updater
1 2 | 论文:https://arxiv.org/abs/2004.00305 代码:https://github.com/Daikenan/LTMU |
AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal Regularization
1 2 | 论文:https://arxiv.org/abs/2003.12949 代码:https://github.com/vision4robotics/AutoTrack |
Probabilistic Regression for Visual Tracking
1 2 | 论文:https://arxiv.org/abs/2003.12565 代码:https://github.com/visionml/pytracking |
MAST: A Memory-Augmented Self-supervised Tracker
1 2 | 论文:https://arxiv.org/abs/2002.07793 代码:https://github.com/zlai0/MAST |
Siamese Box Adaptive Network for Visual Tracking
1 2 | 论文:https://arxiv.org/abs/2003.06761 代码:https://github.com/hqucv/siamban |
语义分割
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation
1 2 | 论文:暂无 代码:https://github.com/JianqiangWan/Super-BPD |
Single-Stage Semantic Segmentation from Image Labels
1 2 | 论文:https://arxiv.org/abs/2005.08104 代码:https://github.com/visinf/1-stage-wseg |
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
1 2 | 论文:https://arxiv.org/abs/2003.00867 代码:https://github.com/MyeongJin-Kim/Learning-Texture-Invariant-Representation |
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation
1 2 | 论文:http://vladlen.info/papers/MSeg.pdf 代码:https://github.com/mseg-dataset/mseg-api |
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
1 2 | 论文:https://arxiv.org/abs/2005.02551 代码:https://github.com/hkchengrex/CascadePSP |
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
1 2 | 论文:https://arxiv.org/abs/2004.07703 代码:https://github.com/feipan664/IntraDA |
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
1 2 | 论文:https://arxiv.org/abs/2004.04581 代码:https://github.com/YudeWang/SEAM |
Temporally Distributed Networks for Fast Video Segmentation
1 2 | 论文:https://arxiv.org/abs/2004.01800 代码:https://github.com/feinanshan/TDNet |
Context Prior for Scene Segmentation
1 2 | 论文:https://arxiv.org/abs/2004.01547 代码:https://git.io/ContextPrior |
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing
1 2 | 论文:https://arxiv.org/abs/2003.13328 代码:https://github.com/Andrew-Qibin/SPNet |
Cars Can’t Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks
1 2 | 论文:https://arxiv.org/abs/2003.05128 代码:https://github.com/shachoi/HANet |
Learning Dynamic Routing for Semantic Segmentation
1 2 | 论文:https://arxiv.org/abs/2003.10401 代码:https://github.com/yanwei-li/DynamicRouting |
实例分割
PolarMask: Single Shot Instance Segmentation with Polar Representation
1 2 3 | 论文:https://arxiv.org/abs/1909.13226 代码:https://github.com/xieenze/PolarMask 解读:https://zhuanlan.zhihu.com/p/84890413 |
CenterMask : Real-Time Anchor-Free Instance Segmentation
1 2 | 论文:https://arxiv.org/abs/1911.06667 代码:https://github.com/youngwanLEE/CenterMask |
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
1 2 | 论文:https://arxiv.org/abs/2001.00309 代码:https://github.com/aim-uofa/AdelaiDet |
Deep Snake for Real-Time Instance Segmentation
1 2 | 论文:https://arxiv.org/abs/2001.01629 代码:https://github.com/zju3dv/snake |
Mask Encoding for Single Shot Instance Segmentation
1 2 | 论文:https://arxiv.org/abs/2003.11712 代码:https://github.com/aim-uofa/AdelaiDet |
全景分割
Pixel Consensus Voting for Panoptic Segmentation
1 2 | 论文:https://arxiv.org/abs/2004.01849 代码:还未公布 |
BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation
1 2 | 论文:https://arxiv.org/abs/2003.14031 代码:https://github.com/Mooonside/BANet |
视频目标分割
A Transductive Approach for Video Object Segmentation
1 2 | 论文:https://arxiv.org/abs/2004.07193 代码:https://github.com/microsoft/transductive-vos.pytorch |
State-Aware Tracker for Real-Time Video Object Segmentation
1 2 | 论文:https://arxiv.org/abs/2003.00482 代码:https://github.com/MegviiDetection/video_analyst |
Learning Fast and Robust Target Models for Video Object Segmentation
1 2 | 论文:https://arxiv.org/abs/2003.00908 代码:https://github.com/andr345/frtm-vos |
Learning Video Object Segmentation from Unlabeled Videos
1 2 | 论文:https://arxiv.org/abs/2003.05020 代码:https://github.com/carrierlxk/MuG |
超像素分割
Superpixel Segmentation with Fully Convolutional Networks
1 2 | 论文:https://arxiv.org/abs/2003.12929 代码:https://github.com/fuy34/superpixel_fcn |
NAS
AOWS: Adaptive and optimal network width search with latency constraints
1 2 | 论文:https://arxiv.org/abs/2005.10481 代码:https://github.com/bermanmaxim/AOWS |
Densely Connected Search Space for More Flexible Neural Architecture Search
1 2 | 论文:https://arxiv.org/abs/1906.09607 代码:https://github.com/JaminFong/DenseNAS |
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning
1 2 | 论文:https://arxiv.org/abs/2003.14058 代码:https://github.com/bhpfelix/MTLNAS |
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
1 2 | 论文下载链接:https://arxiv.org/abs/2004.05565 代码:https://github.com/facebookresearch/mobile-vision |
Neural Architecture Search for Lightweight Non-Local Networks
1 2 | 论文:https://arxiv.org/abs/2004.01961 代码:https://github.com/LiYingwei/AutoNL |
Rethinking Performance Estimation in Neural Architecture Search
1 2 3 4 | 论文:https://arxiv.org/abs/2005.09917 代码:https://github.com/zhengxiawu/rethinking_performance_estimation_in_NAS 解读1:https://www.zhihu.com/question/372070853/answer/1035234510 解读2:https://zhuanlan.zhihu.com/p/111167409 |
CARS: Continuous Evolution for Efficient Neural Architecture Search
1 2 | 论文:https://arxiv.org/abs/1909.04977 代码(即将开源):https://github.com/huawei-noah/CARS |
GAN
Semantically Mutil-modal Image Synthesis
1 2 3 | 主页:http://seanseattle.github.io/SMIS 论文:https://arxiv.org/abs/2003.12697 代码:https://github.com/Seanseattle/SMIS |
Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping
1 2 | 论文:https://yiranran.github.io/files/CVPR2020_Unpaired%20Portrait%20Drawing%20Generation%20via%20Asymmetric%20Cycle%20Mapping.pdf 代码:https://github.com/yiranran/Unpaired-Portrait-Drawing |
Learning to Cartoonize Using White-box Cartoon Representations
1 2 3 4 5 6 7 8 9 | 论文:https://github.com/SystemErrorWang/White-box-Cartoonization/blob/master/paper/06791.pdf 主页:https://systemerrorwang.github.io/White-box-Cartoonization/ 代码:https://github.com/SystemErrorWang/White-box-Cartoonization 解读:https://zhuanlan.zhihu.com/p/117422157 Demo视频:https://www.bilibili.com/video/av56708333 |
GAN Compression: Efficient Architectures for Interactive Conditional GANs
1 2 3 | 论文:https://arxiv.org/abs/2003.08936 代码:https://github.com/mit-han-lab/gan-compression |
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions
1 2 | 论文:https://arxiv.org/abs/2003.01826 代码:https://github.com/cc-hpc-itwm/UpConv |
Re-ID
COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification
1 2 3 | 论文:https://arxiv.org/abs/2005.07862 数据集:暂无 |
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking
1 2 3 | 论文:https://arxiv.org/abs/2004.04199 代码:https://github.com/whj363636/Adversarial-attack-on-Person-ReID-With-Deep-Mis-Ranking |
Pose-guided Visible Part Matching for Occluded Person ReID
1 2 | 论文:https://arxiv.org/abs/2004.00230 代码:https://github.com/hh23333/PVPM |
Weakly supervised discriminative feature learning with state information for person identification
1 2 | 论文:https://arxiv.org/abs/2002.11939 代码:https://github.com/KovenYu/state-information |
3D点云卷积
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
1 2 3 4 5 6 7 8 9 | 论文下载链接:https://arxiv.org/abs/2003.12971 代码:https://github.com/raoyongming/PointGLR Grid-GCN for Fast and Scalable Point Cloud Learning 论文:https://arxiv.org/abs/1912.02984 代码:https://github.com/Xharlie/Grid-GCN |
FPConv: Learning Local Flattening for Point Convolution
1 2 | 论文:https://arxiv.org/abs/2002.10701 代码:https://github.com/lyqun/FPConv |
3D点云分类
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
1 2 | 论文:https://arxiv.org/abs/2002.10876 代码(即将开源): https://github.com/liruihui/PointAugment/ |
3D点云语义分割
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
1 2 3 4 5 | 论文:https://arxiv.org/abs/1911.11236 代码:https://github.com/QingyongHu/RandLA-Net 解读:https://zhuanlan.zhihu.com/p/105433460 |
Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer Labels
1 2 3 | 论文:https://arxiv.org/abs/2004.0409 代码:https://github.com/alex-xun-xu/WeakSupPointCloudSeg |
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
1 2 | 论文:https://arxiv.org/abs/2003.14032 代码:https://github.com/edwardzhou130/PolarSeg |
Learning to Segment 3D Point Clouds in 2D Image Space
1 2 3 | 论文:https://arxiv.org/abs/2003.05593 代码:https://github.com/WPI-VISLab/Learning-to-Segment-3D-Point-Clouds-in-2D-Image-Space |
3D点云实例分割
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
1 2 | 论文:https://arxiv.org/abs/2004.01658 代码:https://github.com/Jia-Research-Lab/PointGroup |
3D点云配准
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
1 2 | 论文:https://arxiv.org/abs/2003.03164 代码:https://github.com/XuyangBai/D3Feat |
RPM-Net: Robust Point Matching using Learned Features
1 2 | 论文:https://arxiv.org/abs/2003.13479 代码:https://github.com/yewzijian/RPMNet |
3D点云补全
Cascaded Refinement Network for Point Cloud Completion
1 2 | 论文:https://arxiv.org/abs/2004.03327 代码:https://github.com/xiaogangw/cascaded-point-completion |
人脸识别
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
1 2 3 | 论文:https://arxiv.org/abs/2004.00288 代码:https://github.com/HuangYG123/CurricularFace |
Learning Meta Face Recognition in Unseen Domains
1 2 3 | 论文:https://arxiv.org/abs/2003.07733 代码:https://github.com/cleardusk/MFR 解读:https://mp.weixin.qq.com/s/YZoEnjpnlvb90qSI3xdJqQ |
人脸活体检测
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
1 2 3 | 论文:https://arxiv.org/abs/2003.04092 代码:https://github.com/ZitongYu/CDCN |
人脸表情识别
Suppressing Uncertainties for Large-Scale Facial Expression Recognition
1 2 3 | 论文:https://arxiv.org/abs/2002.10392 代码(即将开源):https://github.com/kaiwang960112/Self-Cure-Network |
人脸转正
Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images
1 2 | 论文:https://arxiv.org/abs/2003.08124 代码:https://github.com/Hangz-nju-cuhk/Rotate-and-Render |
人脸3D重建
AvatarMe: Realistically Renderable 3D Facial Reconstruction “in-the-wild”
1 2 | 论文:https://arxiv.org/abs/2003.13845 数据集:https://github.com/lattas/AvatarMe |
FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
1 2 | 论文:https://arxiv.org/abs/2003.13989 代码:https://github.com/zhuhao-nju/facescape |
2D人体姿态估计
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
1 2 | 论文:https://arxiv.org/abs/1908.10357 代码:https://github.com/HRNet/HigherHRNet-Human-Pose-Estimation |
The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation
1 2 3 | 论文:https://arxiv.org/abs/1911.07524 代码:https://github.com/HuangJunJie2017/UDP-Pose 解读:https://zhuanlan.zhihu.com/p/92525039 |
Distribution-Aware Coordinate Representation for Human Pose Estimation
1 2 3 4 5 | 主页:https://ilovepose.github.io/coco/ 论文:https://arxiv.org/abs/1910.06278 代码:https://github.com/ilovepose/DarkPose |
3D人体姿态估计
Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach
1 2 3 4 5 | 主页:https://www.zhe-zhang.com/cvpr2020 论文:https://arxiv.org/abs/2003.11163 代码:https://github.com/CHUNYUWANG/imu-human-pose-pytorch |
Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data
1 2 3 4 5 | 论文下载链接:https://arxiv.org/abs/2004.01166 代码:https://github.com/Healthcare-Robotics/bodies-at-rest 数据集:https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/KOA4ML |
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
1 2 | 主页:http://val.cds.iisc.ac.in/pgp-human/ 论文:https://arxiv.org/abs/2004.04400 |
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation
1 2 | 论文:https://arxiv.org/abs/2004.00329 代码:https://github.com/fabbrimatteo/LoCO |
VIBE: Video Inference for Human Body Pose and Shape Estimation
1 2 | 论文:https://arxiv.org/abs/1912.05656 代码:https://github.com/mkocabas/VIBE |
Back to the Future: Joint Aware Temporal Deep Learning 3D Human Pose Estimation
1 2 | 论文:https://arxiv.org/abs/2002.11251 代码:https://github.com/vnmr/JointVideoPose3D |
Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
1 2 | 论文:https://arxiv.org/abs/2003.03972 数据集:暂无 |
人体解析
Correlating Edge, Pose with Parsing
1 2 3 | 论文:https://arxiv.org/abs/2005.01431 代码:https://github.com/ziwei-zh/CorrPM |
场景文本检测
UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World
1 2 | 论文:https://arxiv.org/abs/2003.10608 代码和数据集:https://github.com/Jyouhou/UnrealText/ |
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
1 2 3 | 论文:https://arxiv.org/abs/2002.10200 代码(即将开源):https://github.com/Yuliang-Liu/bezier_curve_text_spotting 代码(即将开源):https://github.com/aim-uofa/adet |
Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection
1 2 3 | 论文:https://arxiv.org/abs/2003.07493 代码:https://github.com/GXYM/DRRG |
场景文本识别
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition
1 2 | 论文:https://arxiv.org/abs/2005.10977 代码:https://github.com/Pay20Y/SEED |
UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World
1 2 | 论文:https://arxiv.org/abs/2003.10608 代码和数据集:https://github.com/Jyouhou/UnrealText/ |
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
1 2 | 论文:https://arxiv.org/abs/2002.10200 代码(即将开源):https://github.com/aim-uofa/adet |
Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition
1 2 3 | 论文:https://arxiv.org/abs/2003.06606 代码:https://github.com/Canjie-Luo/Text-Image-Augmentation |
图像超分辨率
Structure-Preserving Super Resolution with Gradient Guidance
1 2 3 | 论文:https://arxiv.org/abs/2003.13081 代码:https://github.com/Maclory/SPSR |
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy
1 2 3 | 论文:https://arxiv.org/abs/2004.00448 代码:https://github.com/clovaai/cutblur |
视频超分辨率
Space-Time-Aware Multi-Resolution Video Enhancement
1 2 3 | 主页:https://alterzero.github.io/projects/STAR.html 论文:http://arxiv.org/abs/2003.13170 代码:https://github.com/alterzero/STARnet |
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
1 2 | 论文:https://arxiv.org/abs/2002.11616 代码:https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020 |
模型压缩/剪枝
DMCP: Differentiable Markov Channel Pruning for Neural Networks
1 2 | 论文:https://arxiv.org/abs/2005.03354 代码:https://github.com/zx55/dmcp |
Forward and Backward Information Retention for Accurate Binary Neural Networks
1 2 3 | 论文:https://arxiv.org/abs/1909.10788 代码:https://github.com/htqin/IR-Net |
Towards Efficient Model Compression via Learned Global Ranking
1 2 | 论文:https://arxiv.org/abs/1904.12368 代码:https://github.com/cmu-enyac/LeGR |
HRank: Filter Pruning using High-Rank Feature Map
1 2 | 论文:http://arxiv.org/abs/2002.10179 代码:https://github.com/lmbxmu/HRank |
GAN Compression: Efficient Architectures for Interactive Conditional GANs
1 2 3 | 论文:https://arxiv.org/abs/2003.08936 代码:https://github.com/mit-han-lab/gan-compression |
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
1 2 3 | 论文:https://arxiv.org/abs/2003.08935 代码:https://github.com/ofsoundof/group_sparsity |
视频理解/行为识别
Intra- and Inter-Action Understanding via Temporal Action Parsing
1 2 | 论文:https://arxiv.org/abs/2005.10229 主页和数据集:https://sdolivia.github.io/TAPOS/ |
3DV: 3D Dynamic Voxel for Action Recognition in Depth Video
1 2 | 论文:https://arxiv.org/abs/2005.05501 代码:https://github.com/3huo/3DV-Action |
FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding
1 2 | 主页:https://sdolivia.github.io/FineGym/ 论文:https://arxiv.org/abs/2004.06704 |
TEA: Temporal Excitation and Aggregation for Action Recognition
1 2 3 | 论文:https://arxiv.org/abs/2004.01398 代码:https://github.com/Phoenix1327/tea-action-recognition |
X3D: Expanding Architectures for Efficient Video Recognition
1 2 3 | 论文:https://arxiv.org/abs/2004.04730 代码:https://github.com/facebookresearch/SlowFast |
Temporal Pyramid Network for Action Recognition
1 2 3 4 5 | 主页:https://decisionforce.github.io/TPN 论文:https://arxiv.org/abs/2004.03548 代码:https://github.com/decisionforce/TPN |
基于骨架的动作识别
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
1 2 | 论文:https://arxiv.org/abs/2003.14111 代码:https://github.com/kenziyuliu/ms-g3d |
深度估计
Focus on defocus: bridging the synthetic to real domain gap for depth estimation
1 2 | 论文:https://arxiv.org/abs/2005.09623 代码:https://github.com/dvl-tum/defocus-net |
Bi3D: Stereo Depth Estimation via Binary Classifications
1 2 3 | 论文:https://arxiv.org/abs/2005.07274 代码:https://github.com/NVlabs/Bi3D |
AANet: Adaptive Aggregation Network for Efficient Stereo Matching
1 2 | 论文:https://arxiv.org/abs/2004.09548 代码:https://github.com/haofeixu/aanet |
Towards Better Generalization: Joint Depth-Pose Learning without PoseNet
1 2 3 | 论文:https://github.com/B1ueber2y/TrianFlow 代码:https://github.com/B1ueber2y/TrianFlow |
单目深度估计
On the uncertainty of self-supervised monocular depth estimation
1 2 | 论文:https://arxiv.org/abs/2005.06209 代码:https://github.com/mattpoggi/mono-uncertainty |
3D Packing for Self-Supervised Monocular Depth Estimation
1 2 3 | 论文:https://arxiv.org/abs/1905.02693 代码:https://github.com/TRI-ML/packnet-sfm Demo视频:https://www.bilibili.com/video/av70562892/ |
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation
1 2 | 论文:https://arxiv.org/abs/2002.12114 代码:https://github.com/yzhao520/ARC |
6D目标姿态估计
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion
1 2 | 论文:https://arxiv.org/abs/2004.04336 代码:https://github.com/wkentaro/morefusion |
EPOS: Estimating 6D Pose of Objects with Symmetries
1 2 3 | 主页:http://cmp.felk.cvut.cz/epos 论文:https://arxiv.org/abs/2004.00605 |
G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features
1 2 3 | 论文:https://arxiv.org/abs/2003.11089 代码:https://github.com/DC1991/G2L_Net |
手势估计
HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation
1 2 3 | 论文:https://arxiv.org/abs/2004.00060 主页:http://vision.sice.indiana.edu/projects/hopenet |
Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data
1 2 3 | 论文:https://arxiv.org/abs/2003.09572 代码:https://github.com/CalciferZh/minimal-hand |
显著性检测
JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection
1 2 3 | 论文:https://arxiv.org/abs/2004.08515 代码:https://github.com/kerenfu/JLDCF/ |
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders
1 2 3 4 5 | 主页:http://dpfan.net/d3netbenchmark/ 论文:https://arxiv.org/abs/2004.05763 代码:https://github.com/JingZhang617/UCNet |
去噪
A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising
1 2 3 | 论文:https://arxiv.org/abs/2003.12751 代码:https://github.com/Vandermode/NoiseModel |
CycleISP: Real Image Restoration via Improved Data Synthesis
1 2 3 | 论文:https://arxiv.org/abs/2003.07761 代码:https://github.com/swz30/CycleISP |
去雨
Multi-Scale Progressive Fusion Network for Single Image Deraining
1 2 3 | 论文:https://arxiv.org/abs/2003.10985 代码:https://github.com/kuihua/MSPFN |
视频去模糊
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior
1 2 3 | 主页:https://csbhr.github.io/projects/cdvd-tsp/index.html 论文:https://arxiv.org/abs/2004.02501 代码:https://github.com/csbhr/CDVD-TSP |
去雾
Multi-Scale Boosted Dehazing Network with Dense Feature Fusion
1 2 3 | 论文:https://arxiv.org/abs/2004.13388 代码:https://github.com/BookerDeWitt/MSBDN-DFF |
特征点检测与描述
ASLFeat: Learning Local Features of Accurate Shape and Localization
1 2 3 | 论文:https://arxiv.org/abs/2003.10071 代码:https://github.com/lzx551402/aslfeat |
视觉问答(VQA)
VC R-CNN:Visual Commonsense R-CNN
1 2 | 论文:https://arxiv.org/abs/2002.12204 代码:https://github.com/Wangt-CN/VC-R-CNN |
视频问答(VideoQA)
Hierarchical Conditional Relation Networks for Video Question Answering
1 2 | 论文:https://arxiv.org/abs/2002.10698 代码:https://github.com/thaolmk54/hcrn-videoqa |
视觉语言导航
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training
1 2 | 论文:https://arxiv.org/abs/2002.10638 代码(即将开源):https://github.com/weituo12321/PREVALENT |
视频压缩
Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement
1 2 | 论文:https://arxiv.org/abs/2003.01966 代码:https://github.com/RenYang-home/HLVC |
视频插值
Space-Time-Aware Multi-Resolution Video Enhancement
1 2 3 | 主页:https://alterzero.github.io/projects/STAR.html 论文:http://arxiv.org/abs/2003.13170 代码:https://github.com/alterzero/STARnet |
Scene-Adaptive Video Frame Interpolation via Meta-Learning
1 2 | 论文:https://arxiv.org/abs/2004.00779 代码:https://github.com/myungsub/meta-interpolation |
Softmax Splatting for Video Frame Interpolation
1 2 3 | 主页:http://sniklaus.com/papers/softsplat 论文:https://arxiv.org/abs/2003.05534 代码:https://github.com/sniklaus/softmax-splatting |
风格迁移
Diversified Arbitrary Style Transfer via Deep Feature Perturbation
1 2 | 论文:https://arxiv.org/abs/1909.08223 代码:https://github.com/EndyWon/Deep-Feature-Perturbation |
Collaborative Distillation for Ultra-Resolution Universal Style Transfer
1 2 3 | 论文:https://arxiv.org/abs/2003.08436 代码:https://github.com/mingsun-tse/collaborative-distillation |
车道线检测
Inter-Region Affinity Distillation for Road Marking Segmentation
1 2 | 论文:https://arxiv.org/abs/2004.05304 代码:https://github.com/cardwing/Codes-for-IntRA-KD |
"人-物"交互(HOT)检测
Detailed 2D-3D Joint Representation for Human-Object Interaction
1 2 3 | 论文:https://arxiv.org/abs/2004.08154 代码:https://github.com/DirtyHarryLYL/DJ-RN |
Cascaded Human-Object Interaction Recognition
1 2 3 | 论文:https://arxiv.org/abs/2003.04262 代码:https://github.com/tfzhou/C-HOI |
VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions
1 2 | 论文:https://arxiv.org/abs/2003.05541 代码:https://github.com/ASMIftekhar/VSGNet |
行人轨迹预测
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
1 2 | 论文:https://arxiv.org/abs/2002.11927 代码:https://github.com/abduallahmohamed/Social-STGCNN |
运动预测
Collaborative Motion Prediction via Neural Motion Message Passing
1 2 | 论文:https://arxiv.org/abs/2003.06594 代码:https://github.com/PhyllisH/NMMP |
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View Maps
1 2 3 | 论文:https://arxiv.org/abs/2003.06754 代码:https://github.com/pxiangwu/MotionNet |
虚拟试衣
Towards Photo-Realistic Virtual Try-On by Adaptively Generating?Preserving Image Content
1 2 | 论文:https://arxiv.org/abs/2003.05863 代码:https://github.com/switchablenorms/DeepFashion_Try_On |
HDR
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
1 2 3 4 5 | 主页:https://www.cmlab.csie.ntu.edu.tw/~yulunliu/SingleHDR 论文下载链接:https://www.cmlab.csie.ntu.edu.tw/~yulunliu/SingleHDR_/00942.pdf 代码:https://github.com/alex04072000/SingleHDR |
对抗样本
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance
1 2 | 论文:https://arxiv.org/abs/1911.02466 代码:https://github.com/ZhengyuZhao/PerC-Adversarial |
语义场景补全
3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior
1 2 | 论文:https://arxiv.org/abs/2003.14052 代码:https://github.com/charlesCXK/3D-SketchAware-SSC |
数据集
Intra- and Inter-Action Understanding via Temporal Action Parsing
1 2 | 论文:https://arxiv.org/abs/2005.10229 主页和数据集:https://sdolivia.github.io/TAPOS/ |
Dynamic Refinement Network for Oriented and Densely Packed Object Detection
1 2 3 | 论文下载链接:https://arxiv.org/abs/2005.09973 代码和数据集:https://github.com/Anymake/DRN_CVPR2020 |
COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification
1 2 3 | 论文:https://arxiv.org/abs/2005.07862 数据集:暂无 |
KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations
1 2 3 | 论文:https://arxiv.org/abs/2002.12687 数据集:https://github.com/qq456cvb/KeypointNet |
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation
1 2 | 论文:http://vladlen.info/papers/MSeg.pdf 代码:https://github.com/mseg-dataset/mseg-api |
AvatarMe: Realistically Renderable 3D Facial Reconstruction “in-the-wild”
1 2 | 论文:https://arxiv.org/abs/2003.13845 数据集:https://github.com/lattas/AvatarMe |
Learning to Autofocus
1 2 | 论文:https://arxiv.org/abs/2004.12260 数据集:暂无 |
FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
1 2 | 论文:https://arxiv.org/abs/2003.13989 代码:https://github.com/zhuhao-nju/facescape |
Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data
1 2 3 4 5 | 论文下载链接:https://arxiv.org/abs/2004.01166 代码:https://github.com/Healthcare-Robotics/bodies-at-rest 数据集:https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/KOA4ML |
FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding
1 2 | 主页:https://sdolivia.github.io/FineGym/ 论文:https://arxiv.org/abs/2004.06704 |
A Local-to-Global Approach to Multi-modal Movie Scene Segmentation
1 2 3 4 5 | 主页:https://anyirao.com/projects/SceneSeg.html 论文下载链接:https://arxiv.org/abs/2004.02678 代码:https://github.com/AnyiRao/SceneSeg |
Deep Homography Estimation for Dynamic Scenes
1 2 3 | 论文:https://arxiv.org/abs/2004.02132 数据集:https://github.com/lcmhoang/hmg-dynamics |
Assessing Image Quality Issues for Real-World Problems
1 2 | 主页:https://vizwiz.org/tasks-and-datasets/image-quality-issues/ 论文:https://arxiv.org/abs/2003.12511 |
UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World
1 2 | 论文:https://arxiv.org/abs/2003.10608 代码和数据集:https://github.com/Jyouhou/UnrealText/ |
PANDA: A Gigapixel-level Human-centric Video Dataset
1 2 3 | 论文:https://arxiv.org/abs/2003.04852 数据集:http://www.panda-dataset.com/ |
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
1 2 | 论文:https://arxiv.org/abs/2003.02920 数据集:https://github.com/intra3d2019/IntrA |
Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
1 2 | 论文:https://arxiv.org/abs/2003.03972 数据集:暂无 |
其他
Equalization Loss for Long-Tailed Object Recognition
1 2 | 论文:https://arxiv.org/abs/2003.05176 代码:https://github.com/tztztztztz/eql.detectron2 |
Instance-aware Image Colorization
1 2 3 | 主页:https://ericsujw.github.io/InstColorization/ 论文:https://arxiv.org/abs/2005.10825 代码:https://github.com/ericsujw/InstColorization |
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting
1 2 3 | 论文:https://arxiv.org/abs/2005.09704 代码:https://github.com/Atlas200dk/sample-imageinpainting-HiFill |
Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching
1 2 | 论文:https://arxiv.org/abs/2005.03860 代码:https://github.com/shiyujiao/cross_view_localization_DSM |
Epipolar Transformers
1 2 3 | 论文:https://arxiv.org/abs/2005.04551 代码:https://github.com/yihui-he/epipolar-transformers |
Bringing Old Photos Back to Life
1 2 | 主页:http://raywzy.com/Old_Photo/ 论文:https://arxiv.org/abs/2004.09484 |
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
1 2 3 | 论文:https://arxiv.org/abs/2003.10955 代码:https://github.com/microsoft/MaskFlownet |
Self-Supervised Viewpoint Learning from Image Collections
1 2 3 | 论文:https://arxiv.org/abs/2004.01793 论文2:https://research.nvidia.com/sites/default/files/pubs/2020-03_Self-Supervised-Viewpoint-Learning/SSV-CVPR2020.pdf 代码:https://github.com/NVlabs/SSV |
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations
1 2 3 | 论文:https://arxiv.org/abs/2003.12237 代码:https://github.com/cuishuhao/BNM |
Towards Learning Structure via Consensus for Face Segmentation and Parsing
1 2 | 论文:https://arxiv.org/abs/1911.00957 代码:https://github.com/isi-vista/structure_via_consensus |
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging
1 2 3 | 论文:https://arxiv.org/abs/2003.13654 代码:https://github.com/liuyang12/PnP-SCI |
Lightweight Photometric Stereo for Facial Details Recovery
1 2 | 论文:https://arxiv.org/abs/2003.12307 代码:https://github.com/Juyong/FacePSNet |
Footprints and Free Space from a Single Color Image
1 2 3 | 论文:https://arxiv.org/abs/2004.06376 代码:https://github.com/nianticlabs/footprints |
Self-Supervised Monocular Scene Flow Estimation
1 2 | 论文:https://arxiv.org/abs/2004.04143 代码:https://github.com/visinf/self-mono-sf |
Quasi-Newton Solver for Robust Non-Rigid Registration
1 2 | 论文:https://arxiv.org/abs/2004.04322 代码:https://github.com/Juyong/Fast_RNRR |
A Local-to-Global Approach to Multi-modal Movie Scene Segmentation
1 2 3 4 5 | 主页:https://anyirao.com/projects/SceneSeg.html 论文下载链接:https://arxiv.org/abs/2004.02678 代码:https://github.com/AnyiRao/SceneSeg |
DeepFLASH: An Efficient Network for Learning-based Medical Image Registration
1 2 3 | 论文:https://arxiv.org/abs/2004.02097 代码:https://github.com/jw4hv/deepflash |
Self-Supervised Scene De-occlusion
1 2 3 | 主页:https://xiaohangzhan.github.io/projects/deocclusion/ 论文:https://arxiv.org/abs/2004.02788 代码:https://github.com/XiaohangZhan/deocclusion |
Polarized Reflection Removal with Perfect Alignment in the Wild
1 2 | 主页:https://leichenyang.weebly.com/project-polarized.html 代码:https://github.com/ChenyangLEI/CVPR2020-Polarized-Reflection-Removal-with-Perfect-Alignment |
Background Matting: The World is Your Green Screen
1 2 | 论文:https://arxiv.org/abs/2004.00626 代码:http://github.com/senguptaumd/Background-Matting |
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective
1 2 3 | 论文:https://arxiv.org/abs/2003.11241 代码:https://github.com/ZhangLi-CS/GCP_Optimization |
Look-into-Object: Self-supervised Structure Modeling for Object Recognition
1 2 | 论文:暂无 代码:https://github.com/JDAI-CV/LIO |
Video Object Grounding using Semantic Roles in Language Description
1 2 | 论文:https://arxiv.org/abs/2003.10606 代码:https://github.com/TheShadow29/vognet-pytorch |
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives
1 2 | 论文:https://arxiv.org/abs/2003.10739 代码:https://github.com/d-li14/DHM |
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization
1 2 | 论文:http://www.cs.umd.edu/~yuejiang/papers/SDFDiff.pdf 代码:https://github.com/YueJiang-nj/CVPR2020-SDFDiff |
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
1 2 3 | 论文:https://arxiv.org/abs/2003.07064 代码:https://github.com/oskyhn/CNNs-Without-Borders |
GhostNet: More Features from Cheap Operations
1 2 3 | 论文:https://arxiv.org/abs/1911.11907 代码:https://github.com/iamhankai/ghostnet |
AdderNet: Do We Really Need Multiplications in Deep Learning?
1 2 | 论文:https://arxiv.org/abs/1912.13200 代码:https://github.com/huawei-noah/AdderNet |
Deep Image Harmonization via Domain Verification
1 2 | 论文:https://arxiv.org/abs/1911.13239 代码:https://github.com/bcmi/Image_Harmonization_Datasets |
Blurry Video Frame Interpolation
1 2 | 论文:https://arxiv.org/abs/2002.12259 代码:https://github.com/laomao0/BIN |
Extremely Dense Point Correspondences using a Learned Feature Descriptor
1 2 | 论文:https://arxiv.org/abs/2003.00619 代码:https://github.com/lppllppl920/DenseDescriptorLearning-Pytorch |
Filter Grafting for Deep Neural Networks
1 2 3 | 论文:https://arxiv.org/abs/2001.05868 代码:https://github.com/fxmeng/filter-grafting 论文解读:https://www.zhihu.com/question/372070853/answer/1041569335 |
Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation
1 2 | 论文:https://arxiv.org/abs/2003.02824 代码:https://github.com/cmhungsteve/SSTDA |
Detecting Attended Visual Targets in Video
1 2 3 | 论文:https://arxiv.org/abs/2003.02501 代码:https://github.com/ejcgt/attention-target-detection |
Deep Image Spatial Transformation for Person Image Generation
1 2 | 论文:https://arxiv.org/abs/2003.00696 代码:https://github.com/RenYurui/Global-Flow-Local-Attention |
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | 论文:https://arxiv.org/abs/2003.01455 代码:https://github.com/bbrattoli/ZeroShotVideoClassification https://github.com/charlesCXK/3D-SketchAware-SSC https://github.com/Anonymous20192020/Anonymous_CVPR5767 https://github.com/avirambh/ScopeFlow https://github.com/csbhr/CDVD-TSP https://github.com/ymcidence/TBH https://github.com/yaoyao-liu/mnemonics https://github.com/meder411/Tangent-Images https://github.com/KaihuaTang/Scene-Graph-Benchmark.pytorch https://github.com/sjmoran/deep_local_parametric_filters https://github.com/charlesCXK/3D-SketchAware-SSC https://github.com/bermanmaxim/AOWS https://github.com/dc3ea9f/look-into-object |
不确定中没中
FADNet: A Fast and Accurate Network for Disparity Estimation
1 2 | 论文:还没出来 代码:https://github.com/HKBU-HPML/FADNet |
https://github.com/rFID-submit/RandomFID:不确定中没中
https://github.com/JackSyu/AE-MSR:不确定中没中
https://github.com/fastconvnets/cvpr2020:不确定中没中
https://github.com/aimagelab/meshed-memory-transformer:不确定中没中
https://github.com/TWSFar/CRGNet:不确定中没中
https://github.com/CVPR-2020/CDARTS:不确定中没中
https://github.com/anucvml/ddn-cvprw2020:不确定中没中
https://github.com/dl-model-recommend/model-trust:不确定中没中
https://github.com/apratimbhattacharyya18/CVPR-2020-Corr-Prior:不确定中没中
https://github.com/onetcvpr/O-Net:不确定中没中
https://github.com/502463708/Microcalcification_Detection:不确定中没中
https://github.com/anonymous-for-review/cvpr-2020-deep-smoke-machine:不确定中没中
https://github.com/anonymous-for-review/cvpr-2020-smoke-recognition-dataset:不确定中没中
https://github.com/cvpr-nonrigid/dataset:不确定中没中
https://github.com/theFool32/PPBA:不确定中没中
https://github.com/Realtime-Action-Recognition/Realtime-Action-Recognition