10 citations · 16 across the 13 of their papers we have counts for
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cs.LG2023★ 1 cited
Coarse-to-Fine Concept Bottleneck Models
Konstantinos P. Panousis, Dino Ienco, Diego Marcos
Deep learning algorithms have recently gained significant attention due to their impressive performance. However, their high complexity and un-interpretable mode of operation hinde…
cs.CV2023
PDiscoNet: Semantically consistent part discovery for fine-grained recognition
Robert van der Klis, Stephan Alaniz, Massimiliano Mancini +4
Fine-grained classification often requires recognizing specific object parts, such as beak shape and wing patterns for birds. Encouraging a fine-grained classification model to fir…