HRNet

HRNet

Geek Repo

Code for pose estimation is available at https://github.com/leoxiaobin/deep-high-resolution-net.pytorch

Home Page:https://jingdongwang2017.github.io/

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HRNet's repositories

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

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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)

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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

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HRNet-Image-Classification

Train the HRNet model on ImageNet

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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

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Lite-HRNet

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

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HRFormer

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

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DEKR

This is an official implementation of our CVPR 2021 paper "Bottom-Up Human Pose Estimation Via Disentangled Keypoint Regression" (https://arxiv.org/abs/2104.02300)

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HRNet-Human-Pose-Estimation

This repo is copied from https://github.com/leoxiaobin/deep-high-resolution-net.pytorch

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HRNet-Bottom-Up-Pose-Estimation

This is an official pytorch implementation of “Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates” (https://arxiv.org/abs/2006.15480).

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HRNet-MaskRCNN-Benchmark

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

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HRNet-FCOS

High-resolution Networks for the Fully Convolutional One-Stage Object Detection (FCOS) algorithm

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HRNet-Applications-Collection

A collection of HRNet applications (Please feel freely add your applications if not included)

deep-high-resolution-net.pytorch

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

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HRNet-Image-Classification-TF

tensorflow implementation for HRNet classification

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