Metadata-Version: 2.1
Name: torch-encoding
Version: 1.1.1b6042020
Summary: PyTorch Encoding Package
Home-page: https://github.com/zhanghang1989/PyTorch-Encoding
Author: Hang Zhang
Author-email: zhanghang0704@gmail.com
License: MIT
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        # PyTorch-Encoding
        
        created by [Hang Zhang](http://hangzh.com/)
        
        ## [Documentation](http://hangzh.com/PyTorch-Encoding/)
        
        - Please visit the [**Docs**](http://hangzh.com/PyTorch-Encoding/) for detail instructions of installation and usage. 
        
        - Please visit the [link](http://hangzh.com/PyTorch-Encoding/experiments/segmentation.html) to examples of semantic segmentation.
        
        ## Citations
        
        **Context Encoding for Semantic Segmentation** [[arXiv]](https://arxiv.org/pdf/1803.08904.pdf)  
         [Hang Zhang](http://hangzh.com/), [Kristin Dana](http://eceweb1.rutgers.edu/vision/dana.html), [Jianping Shi](http://shijianping.me/), [Zhongyue Zhang](http://zhongyuezhang.com/), [Xiaogang Wang](http://www.ee.cuhk.edu.hk/~xgwang/), [Ambrish Tyagi](https://scholar.google.com/citations?user=GaSWCoUAAAAJ&hl=en), [Amit Agrawal](http://www.amitkagrawal.com/)
        ```
        @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]](https://arxiv.org/pdf/1612.02844.pdf)  
          [Hang Zhang](http://hangzh.com/), [Jia Xue](http://jiaxueweb.com/), [Kristin Dana](http://eceweb1.rutgers.edu/vision/dana.html)
        ```
        @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}
        }
        ```
        
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