Self-Supervison with data-augmentation improves few-shot learning

被引：0
|
作者：
Prashant Kumar
Durga Toshniwal
机构：
[1] Indian Institute of Technology,Department of Computer Science & Engineering
来源：
Applied Intelligence | 2024年 / 54卷 / 4期
关键词：
Few-shot learning; Image classification; Self-supervision; Novel visual categories; Meta-learning; Auxiliary task; Neural network;
D O I：
暂无
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学科分类号：
摘要：
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页码：2976 / 2997
页数：21
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