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 1.1k 139

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 449 62

3. RobustViT Public

   [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 t…

   Jupyter Notebook 80 1

4. TargetCLIP Public

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

   Jupyter Notebook 213 22