hila-chefer/Transformer-MM-Explainability

[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-based network. Including examples for DETR, VQA.

语言：Jupyter Notebook · GitHub 星标：914 · Fork：118

话题：clip · detr · explainability · explainable-ai · interpretability · lxmert · transformer · transformers

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