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GLNet Pytorch

License

Pytorch unofficial implementation of GLNet Semantic Segmentation as described in Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images by Wuyang Chen*, Ziyu Jiang*, Zhangyang Wang, Kexin Cui, and Xiaoning Qian

Prerequisites

Installation

Training

Evaluation

Testing (Inference)

Notes

Citation

@inproceedings{chen2019GLNET,
  title={Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images},
  author={Chen, Wuyang and Jiang, Ziyu and Wang, Zhangyang and Cui, Kexin and Qian, Xiaoning},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  year={2019}
}

Acknowledgement

This repository is inspired by the original Pytorch implementation and by the code structure of keras-retinanet

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Pytorch unofficial implementation of GLNet for Semantic Segmentation

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