PrototypeCommon
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.
- Owner
- hila-chefer (personal account)
- Stars
- Stars: 134
- Forks
- Forks: 14
- Language
- Jupyter Notebook
- License
- None
- Created
- 2022
- Topics
- explainabilityrobustnessvision-transformerneuripsneurips-2022
- Tier
- Prototype (100 to 249 ★) What this tier means
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