3 papers
cs.CV2026
ProDG: Prototypes for Data-Free Generative Post-Hoc Explainability
Piotr Borycki, Magdalena TrÄdowicz, Jacek Tabor +2
Ante-hoc interpretability methods based on prototypes provide highly accurate explanations by utilizing the intuitive "this looks like that" reasoning paradigm. On the other hand,…
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…