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PyTorch Encoding Package

Project description

created by Hang Zhang

Documentation

  • Please visit the **Docs** for detail instructions of installation and usage.
  • Please visit the link to examples of semantic segmentation.

Citations

@InProceedings{Zhang_2018_CVPR,
author = {Zhang, Hang and Dana, Kristin and Shi, Jianping and Zhang, Zhongyue and Wang, Xiaogang and Tyagi, Ambrish and Agrawal, Amit},
title = {Context Encoding for Semantic Segmentation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2018}
}
Deep TEN: Texture Encoding Network [arXiv]
@InProceedings{Zhang_2017_CVPR,
author = {Zhang, Hang and Xue, Jia and Dana, Kristin},
title = {Deep TEN: Texture Encoding Network},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {July},
year = {2017}
}

Project details


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torch_encoding-1.0.1-py2.py3-none-any.whl (84.4 kB) Copy SHA256 hash SHA256 Wheel py2.py3
torch-encoding-1.0.1.tar.gz (56.9 kB) Copy SHA256 hash SHA256 Source None

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