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SA-Baitham/Transformer-MM-Explainability

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[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.

active 2024-03-142024-03-14 (UTC)

Complete coverage26,723 / 26,723 hourly files (100%) · 2 absent upstream2023-08-152026-09-01 (UTC)
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