hila-chefer / RobustViT

[NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows to finetune the explainability maps of Vision Transformers to enhance robustness.

Date Created 2022-05-26 (2 years ago)

Commits 55 (last one about a year ago)

Stargazers 122 (0 this week)

Watchers 4 (0 this week)

Forks 12

License unknown

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RepositoryStats indexes 534,880 repositories, of these hila-chefer/RobustViT is ranked #238,162 (55th percentile) for total stargazers, and #354,941 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #5,543/14,941.

Other Information

hila-chefer/RobustViT has 1 open pull request on Github, 1 pull request has been merged over the lifetime of the repository.

All Topics

neurips robustness neurips-2022 explainability vision-transformer

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55 commits on the default branch (master) since jan '22

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updated: 2024-06-26 @ 08:06am, id: 496588142 / R_kgDOHZlVbg