Few-Shot

Uncertainty-Aware Bayesian Prompt Adaptation of SAM2 for Few-Shot Cross-Modal Segmentation
SCI(E); IF=9.4, 5% (Q1)
Expert Systems with Applications, Vol. 331, Part B, Art. 133226
,Jong Pil Yoon,,Jun-Young Kim
Cite Source Document DOI
Uncertainty-Aware Bayesian Prompt Adaptation of SAM2 for Few-Shot Cross-Modal Segmentation
SAM2-based Bayesian Prompt Adaptation for Cross-Modality Medical Segmentation
KOSOMBE 2025 Fall
_ 2025 (Poster 247)_
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Multi-task and Few-shot Learning-based Fully Automatic Deep Learning Platform for Mobile Diagnosis of Skin Diseases
SCI(E); IF=7.70, 6.40% (Q1)
IEEE Journal of Biomedical and Health Informatics, Vol. 27, No. 1, pp. 176–187
,T C Cavalcanti,Sewoong Kim,Hah Min Lew,Dae Hun Suh,Dong Hun Lee,Jae Youn Hwang
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Multi-task and Few-shot Learning-based Fully Automatic Deep Learning Platform for Mobile Diagnosis of Skin Diseases