Variational AdaBoost knowledge distillation for skin lesion classification in dermatology images
Xiangchun Yu,
Guoliang Xiong,
Jianqing Wu
et al.
Abstract:Knowledge Distillation has shown promising results for classifying skin lesions in dermatology images. Traditional knowledge distillation typically involves the student model passively mimicking the teacher model's knowledge. We propose utilizing AdaBoost to enable the student to actively mine the teacher's learning representation for skin lesion classification. This paradigm allows the student to determine the “granularity” in mining the teacher's knowledge. As the student's learning process progresses, it ca… Show more
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