CVPR 2020 论文开源项目合集,同时欢迎各位大佬提交issue,分享CVPR 2020开源项目
- 图像分类
- 目标检测
- 3D目标检测
- 目标跟踪
- 语义分割
- 实例分割
- 视频目标分割
- NAS
- GAN
- Re-ID
- 3D点云(含语义分割等)
- 人脸检测
- 活体检测
- 人脸表情识别
- 人体姿态估计
- 场景文本检测
- 场景文本识别
- 模型剪枝
- 行为识别
- 人群计数
- 深度估计
- 视觉问答
- 视觉语言导航
- 视频压缩
- 视频插值
- "人-物"交互(HOI)检测
- 行为轨迹预测
- 运动预测
- 数据集
- 其他
- 不确定中没中
Spatially Attentive Output Layer for Image Classification
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
BiDet: An Efficient Binarized Object Detector
Harmonizing Transferability and Discriminability for Adapting Object Detectors
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
MAST: A Memory-Augmented Self-supervised Tracker
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks
PolarMask: Single Shot Instance Segmentation with Polar Representation
- 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
Deep Snake for Real-Time Instance Segmentation
State-Aware Tracker for Real-Time Video Object Segmentation
Learning Fast and Robust Target Models for Video Object Segmentation
Learning Video Object Segmentation from Unlabeled Videos
Rethinking Performance Estimation in Neural Architecture Search
- 论文:准备中
- 代码:https://github.com/zhengxiawu/rethinking_performance_estimation_in_NAS
- 解读:https://www.zhihu.com/question/372070853/answer/1035234510
CARS: Continuous Evolution for Efficient Neural Architecture Search
Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions
Weakly supervised discriminative feature learning with state information for person identification
FPConv: Learning Local Flattening for Point Convolution
Learning to Segment 3D Point Clouds in 2D Image Space
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
RPM-Net: Robust Point Matching using Learned Features
-
论文:未放出
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
Suppressing Uncertainties for Large-Scale Facial Expression Recognition
The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation
- 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
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation
VIBE: Video Inference for Human Body Pose and Shape Estimation
Back to the Future: Joint Aware Temporal Deep Learning 3D Human Pose Estimation
Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
- 论文:https://arxiv.org/abs/2003.03972
- 数据集:暂无
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
- 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
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
HRank: Filter Pruning using High-Rank Feature Map
Temporal Pyramid Network for Action Recognition
- 论文:准备中
- 代码:https://github.com/limbo0000/TPN
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior
VC R-CNN:Visual Commonsense R-CNN
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training
Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement
Softmax Splatting for Video Frame Interpolation
- 主页:http://sniklaus.com/papers/softsplat
- 论文:https://arxiv.org/abs/2003.05534
- 代码:https://github.com/sniklaus/softmax-splatting
Cascaded Human-Object Interaction Recognition
VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
Collaborative Motion Prediction via Neural Motion Message Passing
PANDA: A Gigapixel-level Human-centric Video Dataset
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning
Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
- 论文:https://arxiv.org/abs/2003.03972
- 数据集:暂无
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
GhostNet: More Features from Cheap Operations
AdderNet: Do We Really Need Multiplications in Deep Learning?
Deep Image Harmonization via Domain Verification
Blurry Video Frame Interpolation
Extremely Dense Point Correspondences using a Learned Feature Descriptor
- 论文:https://arxiv.org/abs/2003.00619
- 代码:https://github.com/lppllppl920/DenseDescriptorLearning-Pytorch
Filter Grafting for Deep Neural Networks
- 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
Detecting Attended Visual Targets in Video
Deep Image Spatial Transformation for Person Image Generation
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
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
FADNet: A Fast and Accurate Network for Disparity Estimation
- 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