This is an official Pytorch implementation of "Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach, CVPR 2020". 代码原地址：https://github.com/CHUNYUWANG/imu-human-pose-pytorch
This repository contains the source code related to the paper Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation 代码原地址：https://github.com/fabbrimatteo/LoCO
Dataset of the paper "Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS" 原地址：https://github.com/longcw/crossview_3d_pose_tracking
Mixture Dense Regression for Object Detection and Human Pose Estimation 代码原地址：https://github.com/alivaramesh/MixtureDenseRegression
Distribution-Aware Coordinate Representation for Human Pose Estimation 代码原地址：https://github.com/ilovepose/DarkPose
This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" 代码原地址：https://github.com/HRNet/HigherHRNet-Human-Pose-Estimation
医学影像数据保护 AsynDGAN project source code. 代码原地址：https://github.com/tommy-qichang/AsynDGAN
This is the official repo for the Liver Kidney Stomach dataset introduced in the paper: SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification. 原地址：https://github.com/cradleai/LKS-Dataset
This is the official Pytorch implementation of "Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks" (CVPR 2020), written by Tony C. W. Mok and Albert C. S. Chung. 代码原地址：https://github.com/cwmok/Fast-Symmetric-Diffeomorphic-Image-Registration-with-Convolutional-Neural-Networks
基于学习的医学图像配准的高效网络 DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration 代码原地址：https://github.com/jw4hv/deepflash
[CVPR 2020] Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation 代码原地址：https://github.com/SHI-Labs/Unsupervised-Domain-Adaptation-with-Differential-Treatment
Cross-Modal Unsupervised Domain Adaptationfor 3D Semantic Segmentation 代码原地址：https://github.com/valeoai/xmuda
Distilled Semantics for Comprehensive Scene Understanding from Videos [CVPR 2020] 代码原地址：https://github.com/CVLAB-Unibo/omeganet
Code for our CVPR2020 paper "Strip Pooling: Rethinking Spatial Pooling for Scene Parsing" 代码原地址：https://github.com/Andrew-Qibin/SPNet
场景分割 Implementation for "Context Prior for Scene Segmentation" 代码原地址：https://github.com/ycszen/ContextPrior
语义分割 Official PyTorch implementation of HANet (CVPR 2020) 代码原地址：https://github.com/shachoi/HANet
[CVPR2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement https://hkchengrex.github.io/CascadePSP/ 代码原地址：https://github.com/hkchengrex/CascadePSP
Multiple Anchor Learning for Visual Object Detection 代码原地址：https://github.com/KevinKecc/MAL
Rethinking Classification and Localization for Object Detection 代码原地址：https://github.com/wuyuebupt/doubleheadsrcnn
IDA-3D: Instance-Depth-Aware 3D Object Detection from Stereo Vision for Autonomous Driving, in CVPR2020 http://openaccess.thecvf.com/content_CVPR_2020/papers/Peng_IDA-3D_Instance-Depth-Aware_3D_Object_Detection_From_Stereo_Vision_for_Autonomous_CVPR_2020_paper.pdf 代码原地址：https://github.com/swords123/IDA-3D
