#计算机科学#The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
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
翻译 - 这是TPAMI论文“视觉识别的深度高分辨率表示学习”的语义分段的正式实现。 https://arxiv.org/abs/1908.07919
Train the HRNet model on ImageNet
This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.
tensorflow implementation for "High-Resolution Representations for Labeling Pixels and Regions"
#计算机科学#[IJCAI 2022] Code for the paper "Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation"
#计算机科学#Official project website for the AAAI 2022 paper "Stereo Neural Vernier Caliper"
#计算机科学#[IEEE TMM] Code for the paper "HRNeXt: High-Resolution Context Network for Crowd Pose Estimation"
#计算机科学#HRNetV2 + OCR for Tensorflow2
#计算机科学#Human pose estimation based on HRNet
#计算机科学#Implementation of a Deep High Resolution Network architecture for Face Landmark detection. From the paper:https://arxiv.org/abs/1908.07919