54 citations · 56 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
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,…
Mitigating the Influence of Domain Shift in Skin Lesion Classification: A Benchmark Study of Unsupervised Domain Adaptation Methods on Dermoscopic Images
Sireesha Chamarthi, Katharina Fogelberg, Roman C. Maron +2
The potential of deep neural networks in skin lesion classification has already been demonstrated to be on-par if not superior to the dermatologists diagnosis. However, the perform…
Domain shifts in dermoscopic skin cancer datasets: Evaluation of essential limitations for clinical translation
Katharina Fogelberg, Sireesha Chamarthi, Roman C. Maron +2
The limited ability of Convolutional Neural Networks to generalize to images from previously unseen domains is a major limitation, in particular, for safety-critical clinical tasks…