Pinned

1. Transformer-Explainability Public

   [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

   Jupyter Notebook 1k 123

2. Transformer-MM-Explainability Public

   [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-…

   Jupyter Notebook 406 61

3. RobustViT Public

   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 robus…

   Jupyter Notebook 67 1

4. TargetCLIP Public

   [ECCV 2022] Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.

   Jupyter Notebook 197 21