Validation accuracy on three small public medical datasets suggests task-specific winners among ResNet-50, EfficientNet-B0, ViT-Base, and DeiT-Small, but the study lacks a test set and statistical support.
An image is worth 16x16 words: Transformers for image recognition at scale,
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Comparative Analysis of Vision Transformers and Convolutional Neural Networks for Medical Image Classification
Validation accuracy on three small public medical datasets suggests task-specific winners among ResNet-50, EfficientNet-B0, ViT-Base, and DeiT-Small, but the study lacks a test set and statistical support.