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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

计算可视媒体（英文）2025，Vol.11Issue(1)：227-239,13.

计算可视媒体（英文）2025，Vol.11Issue(1)：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

Key words

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

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].计算可视媒体（英文）,2025,11(1):227-239,13.

基金项目

This work was supported by Yunnan Provincial Major Science and Technology Special Plan Projects(202202AD080003)and the Natural Science Foundation of Shandong Province(ZR2022MD090). （202202AD080003）

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