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Beyond Heatmaps: Unsupervised Concept-Graph Reasoning for Interpretable Visual Explanation

Hossain, Md Mohasin et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Concept Bottleneck Models (CBMs) provide an intrinsically interpretable alternative to post-hoc explanations. However, existing CBMs often rely on predefined concept vocabularies or supervised annotations, lack explicit concept grounding, and summarize each concept with a single image-level score --
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