121 citations · 338 across the 25 of their papers we have counts for
5 papers · 1 filter
TORE: Token Recycling in Vision Transformers for Efficient Active Visual Exploration
Jan Olszewski, Dawid Rymarczyk, Piotr Wójcik +2
Active Visual Exploration (AVE) optimizes the utilization of robotic resources in real-world scenarios by sequentially selecting the most informative observations. However, modern…
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations
Mikołaj Sacha, Bartosz Jura, Dawid Rymarczyk +3
Prototypical parts-based networks are becoming increasingly popular due to their faithful self-explanations. However, their similarity maps are calculated in the penultimate networ…
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging
Łukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki +3
Multiple Instance Learning (MIL) is a weakly-supervised problem in which one label is assigned to the whole bag of instances. An important class of MIL models is instance-based, wh…
ICICLE: Interpretable Class Incremental Continual Learning
Dawid Rymarczyk, Joost van de Weijer, Bartosz Zieliński +1
Continual learning enables incremental learning of new tasks without forgetting those previously learned, resulting in positive knowledge transfer that can enhance performance on b…
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
Mikołaj Sacha, Dawid Rymarczyk, Łukasz Struski +2
We introduce ProtoSeg, a novel model for interpretable semantic image segmentation, which constructs its predictions using similar patches from the training set. To achieve accurac…