Skip to main content

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


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

torch-encoding-0.4.5.tar.gz (45.3 kB view details)

Uploaded Source

File details

Details for the file torch-encoding-0.4.5.tar.gz.

File metadata

File hashes

Hashes for torch-encoding-0.4.5.tar.gz
Algorithm Hash digest
SHA256 d84ccfca79de556a63baed373fb2079a557190c64040fde1137c203952b0c542
MD5 d9bb0a239cf57835a3c6594262e0cb8f
BLAKE2b-256 5feea59ae7ca4b1c5a9e8b7643613c9246dc404741c0b90b0a02026ddf8f59cb

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page