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Noise-robust few-shot classification via variational adversarial data augmentation

Renjie Xu Baodi Liu Kai Zhang Honglong Chen Dapeng Tao Weifeng Liu

Computational Visual Media2025，Vol.11Issue(1)：P.227-239,13.

Computational Visual Media2025，Vol.11Issue(1)：P.227-239,13.DOI:10.26599/CVM.2025.9450403

Noise-robust few-shot classification via variational adversarial data augmentation

Renjie Xu ¹Baodi Liu ²Kai Zhang ³Honglong Chen ²Dapeng Tao ⁴Weifeng Liu²

作者信息

1. College of Oceanography and Space Informatics,China University of Petroleum(East China),Qingdao 266580,China
2. College of Control Science and Engineering,China University of Petroleum(East China),Qingdao 266580,China
3. School of Petroleum Engineering,China University of Petroleum(East China),Qingdao 266580,China
4. School of Information Science and Engineering,Yunnan University,Yunnan 650504,China
折叠

摘要

关键词

few-shot learning/adversarial learning/robustness/variational method

分类

信息技术与安全科学

引用本文复制引用

Renjie Xu,Baodi Liu,Kai Zhang,Honglong Chen,Dapeng Tao,Weifeng Liu..Noise-robust few-shot classification via variational adversarial data augmentation[J].Computational Visual Media,2025,11(1):P.227-239,13.

基金项目

supported by Yunnan Provincial Major Science and Technology Special Plan Projects(202202AD080003) （202202AD080003）

the Natural Science Foundation of Shandong Province(ZR2022MD090). （ZR2022MD090）

Computational Visual Media

ISSN：2096-0433

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