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Philipp Spitzer

1 accepted papers

2025

Towards Human-Understandable Multi-Dimensional Concept Discovery

CVPR 2025poster

Concept-based eXplainable AI (C-XAI) aims to overcome the limitations of traditional saliency maps by converting pixels into human-understandable concepts that are consistent across an entire dataset. A crucial aspect of C-XAI is completeness, which measures how well a set of concepts explains a mod…