Small Sample Learning Method Based on Feature Aggregation Network

To use a small number of samples to complete the model training in deep learning,this paper proposes a two-way feature aggregation network and gives a new comprehensive loss function to control the parameter update process of the model.By integrating the loss function,the feature aggregation network...

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主要作者:	YE Meng, YANG Juan, WANG Ronggui, XUE Lixia, LI Dong
格式:	Artigo
語言:	Inglês
出版:	Editorial Office of Computer Engineering 2021-03-01
叢編:	Jisuanji gongcheng
主題:	deep learning|small sample learning|feature extraction|measure learning|feature aggregation
在線閱讀:	https://www.ecice06.com/fileup/1000-3428/PDF/20210309.pdf
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