arxiv
PublishedApril 29, 2026 at 4:00 AM
Resolution scaling governs DINOv3 transfer performance in chest radiograph classification
Publisher summary· verbatim
arXiv:2510.07191v3 Announce Type: replace-cross Abstract: Self-supervised learning (SSL) has improved visual representation learning, but its value in chest radiography remains uncertain. DINOv3 extends earlier SSL models through Gram-anchored self-distillation and explicit high-resolution adaptatio
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Originally published on arxiv ↗