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cs.CV2026
On the Faithfulness of Post-Hoc Concept Bottleneck Models
Laines Schmalwasser, Jan Blunk, Niklas Penzel +2
Human decision-making interprets the world through high-level concepts, such as recognizing a bird by its belly color. To bridge the gap between opaque deep learning representation…
cs.CV2024
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts
Laines Schmalwasser, Jakob Gawlikowski, Joachim Denzler +1
Concept Activation Vectors (CAVs) offer insights into neural network decision-making by linking human friendly concepts to the model's internal feature extraction process. However,…