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tags:
- explainability, computer vision
---
# T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers: Supplemtary Material

This repository hosts the  trained T-TAME attention mechanism for VGG-16, ViT-B-16, and ResNet-50 and the L-CAM method for the VGG-16 and ResNet-50 classifiers, used for comparisons. The checkpoints are bundled in the repository using `git-lfs`. It is a submodule of the main repository, which contains the code for the T-TAME method. The main repository can be found [here](https://github.com/IDT-ITI/T-TAME).