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CVPR2020-Code

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

CNN

Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets

图像分类

Spatially Attentive Output Layer for Image Classification

目标检测

Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection

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

CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection

EfficientDet: Scalable and Efficient Object Detection

3D目标检测

3DSSD: Point-based 3D Single Stage Object Detector

Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation

End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection

DSGN: Deep Stereo Geometry Network for 3D Object Detection

LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud

视频目标检测

Memory Enhanced Global-Local Aggregation for Video Object Detection

论文:https://arxiv.org/abs/2003.12063

代码:https://github.com/Scalsol/mega.pytorch

目标跟踪

Siam R-CNN: Visual Tracking by Re-Detection

Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises

High-Performance Long-Term Tracking with Meta-Updater

AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal Regularization

Probabilistic Regression for Visual Tracking

MAST: A Memory-Augmented Self-supervised Tracker

Siamese Box Adaptive Network for Visual Tracking

语义分割

Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation

Temporally Distributed Networks for Fast Video Segmentation

Context Prior for Scene Segmentation

Strip Pooling: Rethinking Spatial Pooling for Scene Parsing

Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks

Learning Dynamic Routing for Semantic Segmentation

实例分割

PolarMask: Single Shot Instance Segmentation with Polar Representation

CenterMask : Real-Time Anchor-Free Instance Segmentation

Deep Snake for Real-Time Instance Segmentation

Mask Encoding for Single Shot Instance Segmentation

全景分割

Pixel Consensus Voting for Panoptic Segmentation

BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation

论文:https://arxiv.org/abs/2003.14031

代码:https://github.com/Mooonside/BANet

视频目标分割

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

超像素分割

Superpixel Segmentation with Fully Convolutional Networks

NAS

Neural Architecture Search for Lightweight Non-Local Networks

Rethinking Performance Estimation in Neural Architecture Search

CARS: Continuous Evolution for Efficient Neural Architecture Search

GAN

Learning to Cartoonize Using White-box Cartoon Representations

GAN Compression: Efficient Architectures for Interactive Conditional GANs

Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions

Re-ID

Pose-guided Visible Part Matching for Occluded Person ReID

Weakly supervised discriminative feature learning with state information for person identification

3D点云(含语义分割等)

3D点云卷积

Grid-GCN for Fast and Scalable Point Cloud Learning

FPConv: Learning Local Flattening for Point Convolution

3D点云语义分割

Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer Labels

PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

Learning to Segment 3D Point Clouds in 2D Image Space

3D点云配准

D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

RPM-Net: Robust Point Matching using Learned Features

3D点云补全

Cascaded Refinement Network for Point Cloud Completion

人脸识别

CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition

Learning Meta Face Recognition in Unseen Domains

人脸检测

人脸活体检测

Searching Central Difference Convolutional Networks for Face Anti-Spoofing

人脸表情识别

Suppressing Uncertainties for Large-Scale Facial Expression Recognition

人脸转正

Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images

人体姿态估计

2D人体姿态估计

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation

The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation

Distribution-Aware Coordinate Representation for Human Pose Estimation

3D人体姿态估计

Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis

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

点云

点云分类

PointAugment: an Auto-Augmentation Framework for Point Cloud Classification

场景文本检测

UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World

ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network

Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection

场景文本识别

UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World

ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network

Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition

超分辨率

图像超分辨率

Structure-Preserving Super Resolution with Gradient Guidance

Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy

论文:https://arxiv.org/abs/2004.00448

代码:https://github.com/clovaai/cutblur

视频超分辨率

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

模型压缩

GAN Compression: Efficient Architectures for Interactive Conditional GANs

Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression

模型剪枝

HRank: Filter Pruning using High-Rank Feature Map

视频理解/行为识别

TEA: Temporal Excitation and Aggregation for Action Recognition

X3D: Expanding Architectures for Efficient Video Recognition

Temporal Pyramid Network for Action Recognition

基于骨架的动作识别

Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition

人群计数

深度估计

Towards Better Generalization: Joint Depth-Pose Learning without PoseNet

单目深度估计

3D Packing for Self-Supervised Monocular Depth Estimation

Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation

6D目标姿态估计

EPOS: Estimating 6D Pose of Objects with Symmetries

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

手势估计

HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation

Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data

去噪

A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising

CycleISP: Real Image Restoration via Improved Data Synthesis

去雨

Multi-Scale Progressive Fusion Network for Single Image Deraining

去模糊

视频去模糊

Cascaded Deep Video Deblurring Using Temporal Sharpness Prior

特征点检测与描述

ASLFeat: Learning Local Features of Accurate Shape and Localization

视觉问答

VC R-CNN:Visual Commonsense R-CNN

视觉语言导航

Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training

视频压缩

Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement

视频插值

Scene-Adaptive Video Frame Interpolation via Meta-Learning

Softmax Splatting for Video Frame Interpolation

风格迁移

Collaborative Distillation for Ultra-Resolution Universal Style Transfer

"人-物"交互(HOT)检测

Cascaded Human-Object Interaction Recognition

VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions

行人轨迹预测

Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

运动预测

Collaborative Motion Prediction via Neural Motion Message Passing

MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps

HDR

Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline

数据集

A Local-to-Global Approach to Multi-modal Movie Scene Segmentation

Deep Homography Estimation for Dynamic Scenes

Assessing Image Quality Issues for Real-World Problems

UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World

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

其他

Self-Supervised Monocular Scene Flow Estimation

Quasi-Newton Solver for Robust Non-Rigid Registration

A Local-to-Global Approach to Multi-modal Movie Scene Segmentation

DeepFLASH: An Efficient Network for Learning-based Medical Image Registration

Self-Supervised Scene De-occlusion

Polarized Reflection Removal with Perfect Alignment in the Wild

Background Matting: The World is Your Green Screen

What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective

Look-into-Object: Self-supervised Structure Modeling for Object Recognition

Video Object Grounding using Semantic Roles in Language Description

Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives

SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization

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

Filter Grafting for Deep Neural Networks

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

不确定中没中

FADNet: A Fast and Accurate Network for Disparity Estimation

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

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