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Oct, 2022
TGDM: 面向跨领域少样本学习的目标引导动态混合
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning
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Linhai Zhuo, Yuqian Fu, Jingjing Chen, Yixin Cao, Yu-Gang Jiang
TL;DR
介绍一种新的跨域few-shot学习方法,通过引入中间域和动态混合策略,缩小域差距和实现目标域的知识转移,最终通过双层元学习提高模型性能。
Abstract
Given sufficient training data on the source domain,
cross-domain few-shot learning
(CD-FSL) aims at recognizing new classes with a small number of labeled examples on the target domain. The key to addressing CD-FSL is to narrow the
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