A few-shot learning framework using frozen CNN backbones and SimpleShot achieves competitive accuracy for Monkeypox and pox-like skin disease classification on public datasets across 2/4/6-way 1/5/10-shot tasks, with MobileNetV2_100 performing best and cross-dataset transfer showing domain-shift sen
IEEE Access10, 68868–68884 (2022) 2
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Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors
A few-shot learning framework using frozen CNN backbones and SimpleShot achieves competitive accuracy for Monkeypox and pox-like skin disease classification on public datasets across 2/4/6-way 1/5/10-shot tasks, with MobileNetV2_100 performing best and cross-dataset transfer showing domain-shift sen