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cs.CV2025
i-WiViG: Interpretable Window Vision GNN
Ivica Obadic, Dmitry Kangin, Adrian Höhl +3
Vision graph neural networks have emerged as a popular approach for modeling the global and spatial context for image recognition. However, a significant drawback of these methods…
cs.LG2025
COMIX: Compositional Explanations using Prototypes
Sarath Sivaprasad, Dmitry Kangin, Plamen Angelov +1
Aligning machine representations with human understanding is key to improving interpretability of machine learning (ML) models. When classifying a new image, humans often explain t…