项目作者: hila-chefer

项目描述 :
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.
高级语言: Jupyter Notebook
项目地址: git://github.com/hila-chefer/Transformer-MM-Explainability.git
创建时间: 2021-03-23T22:11:18Z
项目社区:https://github.com/hila-chefer/Transformer-MM-Explainability

开源协议:MIT License

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