leoxiaobin

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

Yet-Another-EfficientDet-Pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

deep-high-resolution-net.pytorch

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

HRNet-Semantic-Segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

papers

Summaries of machine learning papers

SSD

High quality, fast, modular reference implementation of SSD in PyTorch

HigherHRNet-Human-Pose-Estimation

This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)

HRNet-Facial-Landmark-Detection

This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

tensornets

High level network definitions with pre-trained weights in TensorFlow

HRNet-Image-Classification

Train the HRNet model on ImageNet

Lite-HRNet

This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.

lemniscate.pytorch

Unsupervised Feature Learning via Non-parametric Instance Discrimination

HRNet-Object-Detection

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). This is an official implementation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

panoptic-deeplab

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

simple-HRNet

Multi-person Human Pose Estimation with HRNet in Pytorch

Focal-Transformer

[NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"

CvT

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

TF-SimpleHumanPose

TensorFlow implementation of "Simple Baselines for Human Pose Estimation and Tracking", ECCV 2018

davit

[ECCV 2022]Code for paper "DaViT: Dual Attention Vision Transformer"

vision-longformer

CvT

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

convolution-vision-transformers

PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers

simple-HigherHRNet

Multi-person Human Pose Estimation with HigherHRNet in Pytorch, with TensorRT support

PoseWarper

Learning Temporal Pose Estimation from Sparsely Labeled Videos

pose.pytorch

Simple Baselines for Human Pose Estimation and Tracking

human-pose-estimation.pytorch

The project is official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"