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DGCN
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<!-- *** Thanks for checking out the Best-README-Template. If you have a suggestion *** that would make this better, please fork the repo and create a pull request *** or simply open an issue with the tag "enhancement". *** Thanks again! Now go create something AMAZING! :D *** *** *** *** To avoid retyping too much info. Do a search and replace for the following: *** github_username, repo_name, twitter_handle, email, project_title, project_description --> <!-- PROJECT SHIELDS --> <!-- *** I'm using markdown "reference style" links for readability. *** Reference links are enclosed in brackets [ ] instead of parentheses ( ). *** See the bottom of this document for the declaration of the reference variables *** for contributors-url, forks-url, etc. This is an optional, concise syntax you may use. *** https://www.markdownguide.org/basic-syntax/#reference-style-links --> ## Deep Graph Cut Network for Weakly-supervised Semantic Segmentation. Jiapei Feng, [Xinggang Wang](https://xinggangw.info/), [Wenyu Liu](https://scholar.google.com/citations?user=D7jDk7gAAAAJ&hl=en) in SCIENCE CHINA Information Sciences (SCIS), Volume 64 , Issue 3 : 130105(2021) https://doi.org/10.1007/s11432-020-3065-4 <!-- PROJECT LOGO --> <br /> <p align="center"> <a href="https://github.com/github_username/repo_name"> <img src="DGCN.png" alt="Logo"> </a> </p> </p> <!-- GETTING STARTED --> ## Getting Started To get a local copy up and running follow these simple steps. ### Prerequisites * You need to install commonly-used libraries such as Numpy and Pytorch. * The CAM seed file you can find in [DSRG](https://github.com/speedinghzl/DSRG). ### Train 1. Run. ```sh bash run.sh ``` <!-- LICENSE --> ## License Distributed under the MIT License. See `LICENSE` for more information. <!-- ACKNOWLEDGEMENTS --> ## Acknowledgements This code is heavily borrowed from [pytorch-deeplab-resnet](https://github.com/speedinghzl/Pytorch-Deeplab). ## Citation If you find this code is useful, please cite it using the following bibtex information. ``` @article{feng2021deep, title={Deep Graph Cut Network for Weakly-supervised Semantic Segmentation}, author={Feng, Jiapei and Wang, Xinggang and Liu Wenyu}, journal={Science China Information Sciences}, volume={64}, number={3}, pages={1--13}, year={2021}, publisher={Science China Press} } ```