Self-knowledge distillation for first trimester ultrasound saliency prediction
Self-knowledge distillation (SKD) is a recent and promising machine learning approach where a shallow student network is trained to distill its own knowledge. By contrast, in traditional knowledge distillation a student model distills its knowledge from a large teacher network model, which involves...
| 主要な著者: | , , , , |
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| フォーマット: | Conference item |
| 言語: | English |
| 出版事項: |
Springer
2022
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