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Promise and Limits of Cross-Architecture Knowledge Distillation for Lightweight Medical Vision Transformers (LiteMed-ViT)
Running deep models for medical image analysis at the point of care is challenging with standard architectures: convolutional neural networks (CNNs) are often too heavy for edge devices, while Vision Transformers (ViTs) require massive training datasets to compensate for missing inductive biases. Th
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