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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.
Model DevelopmentInterpretabilityJupyter Notebook
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创建于 2021-03-23 · 更新于 2026-09-29 · 今日第 12523 名
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