121 citations · 338 across the 25 of their papers we have counts for
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cs.CV2024
Revisiting FunnyBirds evaluation framework for prototypical parts networks
Szymon Opłatek, Dawid Rymarczyk, Bartosz Zieliński
Prototypical parts networks, such as ProtoPNet, became popular due to their potential to produce more genuine explanations than post-hoc methods. However, for a long time, this pot…
cs.CV2024★ 1 cited
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
Mateusz Pach, Dawid Rymarczyk, Koryna Lewandowska +2
Prototypical parts networks combine the power of deep learning with the explainability of case-based reasoning to make accurate, interpretable decisions. They follow the this looks…