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

Train the HRNet model on ImageNet

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

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

[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331

Foreground-aware Semantic Representations for Image Harmonization https://arxiv.org/abs/2006.00809

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

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

High-resolution representation learning (HRNets) for Semantic Segmentation

Multi Person Support on HRNets