PyTorch Encoding Package
Project description
created by Hang Zhang
Documentation
Citations
Context Encoding for Semantic Segmentation
[arXiv]
@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-0.3.1.tar.gz
(277.8 kB
view details)
File details
Details for the file torch-encoding-0.3.1.tar.gz
.
File metadata
- Download URL: torch-encoding-0.3.1.tar.gz
- Upload date:
- Size: 277.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b6a6e7c35111f7d43f48f1b3da7f3f5f45e7afb1e3f2c1a7ddb5485822039937 |
|
MD5 | 910fa28bc4829c5f5a69fff9f555cc8c |
|
BLAKE2b-256 | 9eb17922dd30e4dba0882888158324330c3c5ede0c6866cab24ee45f728b423d |