Craft-xai 0.0.1

Automatic Concept Extraction with CRAFT

👋 CRAFT: Concept Recursive Activation FacTorization for Explainability (CVPR 2023)

This repository contains code for the paper:

CRAFT: Concept Recursive Activation FacTorization for Explainability, Thomas Fel*, Agustin Picard*, Louis Bethune*, Thibaut Boissin*, David Vigouroux, Julien Colin, Rémi Cadène, Thomas Serre. CVPR 2023, [arXiv].

The code is implemented and available for Pytorch & Tensorflow. A notebook for each of them is available: notebook Pytorch, notebook Tensorflow.

@inproceedings{fel2023craft,
      title={CRAFT: Concept Recursive Activation FacTorization for Explainability},
      author={Thomas, Fel and Agustin, Picard and Louis, Bethune and Thibaut, Boissin and David, Vigouroux and Julien, Colin and Rémi, Cadène and Thomas, Serre},
      year={2023},
      booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}
}

To go further

The code for the metrics and the other attribution methods used in the paper come from the Xplique toolbox.

Authors of the code

• Thomas Fel - [e-mail], PhD Student DEEL (ANITI), Brown University
• Agustin Picard - [e-mail], IRT Saint-exupéry, DEEL
• Louis Béthune - [e-mail], PhD Student DEEL (ANITI)
• Thibaut Boissin - [e-mail], IRT Saint-exupéry, DEEL