PyTorch Implementation for "TransPose: Keypoint localization via Transformer", ICCV 2021.

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Explainability for Vision Transformers

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

A collection of research materials on explainable AI/ML

Model interpretability and understanding for PyTorch

Wanna know what your model sees? Here's a package for applying EigenCAM and generating heatmap from the new YOLO V11 model

XAI for yoloV8

Visualize the low-level outputs of YOLOv8 to analyze and understand the areas where our model focuses. Specifically, illustrate which anchor points are activated to predict bounding boxes.