visualbert

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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.

visualization transformers transformer vqa clip interpretability explainable-ai explainability detr lxmert visualbert

Updated Jul 9, 2022
Jupyter Notebook

Muennighoff / vilio

Star

🥶Vilio: State-of-the-art VL models in PyTorch & PaddlePaddle

transformers oscar vision-and-language uniter lxmert ernie-vil visualbert

Updated Jul 1, 2021
Python

VAIBHAV-2303 / Hateful-Memes-Classification

Star

Social Computing Project

memes social-computing visualbert hateful-memes-classification vilio-model

Updated May 21, 2021
Jupyter Notebook

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