AI RESEARCH
ZACH-ViT: Regime-Dependent Inductive Bias in Compact Vision Transformers for Medical Imaging
arXiv CS.LG
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ArXi:2602.17929v2 Announce Type: replace-cross Vision Transformers rely on positional embeddings and class tokens encoding fixed spatial priors. While effective for natural images, these priors may be suboptimal when spatial layout is weakly informative, a frequent condition in medical imaging. We