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cs.CV2025
Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency
Bill Psomas, Dionysis Christopoulos, Eirini Baltzi +6
As fine-tuning becomes impractical at scale, probing is emerging as the preferred evaluation protocol. However, standard linear probing can understate the capability of models whos…
cs.CV2025
Skin Lesion Phenotyping via Nested Multi-modal Contrastive Learning
Dionysis Christopoulos, Sotiris Spanos, Eirini Baltzi +2
We introduce SLIMP (Skin Lesion Image-Metadata Pre-training) for learning rich representations of skin lesions through a novel nested contrastive learning approach that captures co…