Transformer-MM-Explainability 产品
来源: githubOPEN_SOURCE开源Jupyter NotebookMIT发布于 2021-03-23
[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.
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