HRNetV2 + OCR for Tensorflow2

This is an implementation of "HRNetV2 + OCR" on Keras and Tensorflow.

The implementation is based on papers[1, 2] and official implementations[3, 4].

Model

• Model
  • HRNetV2 + Semantic Segmentation
  • HRNetV2 + Classifier
  • HRNetV2 + OCR + Semantic Segmentation
  • Backbone + HRNetV2 + @ (Custom Development)
• Pre-trained weight
  • X

Requirements

• Python 3
• tensorflow 2

Reference

1. High-Resolution Representations for Labeling Pixels and Regions, Ke Sun, Yang Zhao, Borui Jiang, Tianheng Cheng, Bin Xiao, Dong Liu, Yadong Mu, Xinggang Wang, Wenyu Liu, Jingdong Wang, https://arxiv.org/abs/1904.04514

2. Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation, Yuhui Yuan, Xiaokang Chen, Xilin Chen, Jingdong Wang, https://arxiv.org/abs/1909.11065v6

3. High-resolution networks and Segmentation Transformer for Semantic Segmentation, HRNet, /~https://github.com/HRNet/HRNet-Semantic-Segmentation

4. High-resolution networks (HRNets) for Image classification, HRNet, /~https://github.com/HRNet/HRNet-Image-Classification

Contributor

• Hyungjin Kim(flslzk@gmail.com)