3 papers
cs.CV2026
What Pixels Are Enough? SEAMS: Sufficiency Saliency via MSE-Preservation Soft-Masks
Magdalena TrÄdowicz, Åukasz Struski, Arkadiusz Lewicki +4
Saliency maps are most useful when they identify the image regions that are sufficient to preserve a model's behaviour. We introduce SEAMS, a sufficiency-based saliency method that…
cs.CV2025
PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification
Magdalena TrÄdowicz, Marcin Mazur, Szymon Janusz +3
Video processing is generally divided into two main categories: processing of the entire video, which typically yields optimal classification outcomes, and real-time processing, wh…
cs.CV2025
EPIC: Explanation of Pretrained Image Classification Networks via Prototype
Piotr Borycki, Magdalena TrÄdowicz, Szymon Janusz +4
Explainable AI (XAI) methods generally fall into two categories. Post-hoc approaches generate explanations for pre-trained models and are compatible with various neural network arc…