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cs.CV2026
Learning Features, Not Layouts: Feature-Axis Attention as a Transfer Prior for Medical Imaging
Aon Safdar, Mohamed Saadeldin
Natural-image-pretrained foundation models are increasingly adapted to medical imaging, yet transfer remains unreliable under domain shift, modality heterogeneity, and label scarci…
cs.CV2026
CAViT -- Channel-Aware Vision Transformer for Dynamic Feature Fusion
Aon Safdar, Mohamed Saadeldin
Vision Transformers (ViTs) have demonstrated strong performance across a range of computer vision tasks by modeling long-range spatial interactions via self-attention. However, cha…