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Autor:
Zhao, Linlan, Guo, Dashan, Xu, Yunlu, Qiao, Liang, Cheng, Zhanzhan, Pu, Shiliang, Niu, Yi, Fang, Xiangzhong
Few-shot learning (FSL) aims to learn models that generalize to novel classes with limited training samples. Recent works advance FSL towards a scenario where unlabeled examples are also available and propose semi-supervised FSL methods. Another line
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0da8d8768c75d9ee754ee7f6010ec46
http://arxiv.org/abs/2110.11128
http://arxiv.org/abs/2110.11128