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
- HRNetV2 + Semantic Segmentation
- HRNetV2 + Classifier
- HRNetV2 + OCR + Semantic Segmentation
- Backbone + HRNetV2 + @ (Custom Development)
- Pre-trained weight
- X
- Python 3
- tensorflow 2
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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
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Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation, Yuhui Yuan, Xiaokang Chen, Xilin Chen, Jingdong Wang, https://arxiv.org/abs/1909.11065v6
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High-resolution networks and Segmentation Transformer for Semantic Segmentation, HRNet, https://github.com/HRNet/HRNet-Semantic-Segmentation
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High-resolution networks (HRNets) for Image classification, HRNet, https://github.com/HRNet/HRNet-Image-Classification
- Hyungjin Kim(flslzk@gmail.com)