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cs.CV2026
Automated Background Swapping for Robustness against Spurious Backgrounds
Cesar Roder, Kajetan Schweighofer
Classifiers based on Deep Neural Networks exhibit strong performance across domains, yet can fail catastrophically if they rely on spurious correlations, i.e., features that are pr…
cs.CV2025
ImageSet2Text: Describing Sets of Images through Text
Piera Riccio, Francesco Galati, Kajetan Schweighofer +2
In the era of large-scale visual data, understanding collections of images is a challenging yet important task. To this end, we introduce ImageSet2Text, a novel method to automatic…