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GNNPapers

Must-read papers on graph neural networks (GNN)

AlphaPose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

awesome-human-pose-estimation

A collection of awesome resources in Human Pose estimation.

BigGAN-PyTorch

The author's officially unofficial PyTorch BigGAN implementation.

CGNet

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [arXiv preprint arXiv:1811.08201]

deep-high-resolution-net.pytorch

The project is an official implement of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

EpipolarPose

Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)

Fast-SCNN-pytorch

A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network

FastFCN

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

GCNet

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

git-tips

:trollface:Git的奇技淫巧

gtc2019-numba

Numba tutorial for GTC2019

mmdetection

Open MMLab Detection Toolbox and Benchmark

mvpose

Code for "Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views" in CVPR'19

openpifpaf

Implementation of "PifPaf: Composite Fields for Human Pose Estimation" in PyTorch.

person-reid-tiny-baseline

Pose2Seg

Code for the paper "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

PoseFlow

PoseFlow: Efficient Online Pose Tracking (BMVC'18)

py-motmetrics

:bar_chart: Benchmark multiple object trackers (MOT) in Python

pytorch-pose-hg-3d

PyTorch implementation for 3D human pose estimation

pytorch-sync-batchnorm-example

How to use Cross Replica / Synchronized Batchnorm in Pytorch

PytorchInsight

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

slambook

snowkylin.github.io

雪麒的百草园 - Snowkylin's Blog

SRMnet

PyTorch implementation of "SRM : A Style-based Recalibration Module for Convolutional Neural Networks"

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

TimeCycle

Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)

VideoPose3D

Efficient 3D human pose estimation in video using 2D keypoint trajectories