Meta Self-Supervised Learning for Distribution Shifted Few-Shot Scene Classification | |
Gong, Tengfei1; Zheng, Xiangtao2; Lu, Xiaoqiang2 | |
作者部门 | 光谱成像技术研究室 |
2022 | |
发表期刊 | IEEE Geoscience and Remote Sensing Letters |
ISSN | 1545598X;15580571 |
卷号 | 19 |
产权排序 | 2 |
摘要 | Few-shot classification tries to recognize novel remote sensing image categories with a few shot samples. However, current methods assume that the test dataset shares the same domain with the labeled training dataset where prior knowledge is learned. It is infeasible to collect a training dataset for each domain, since remote sensing images may come from various domains. Exploiting the existing labeled dataset from another domain (source domain) to help the target dataset (target domain) classification would be efficient. In this paper, both meta-learning and self-supervised learning are jointly conducted for few-shot classification. Specifically, meta-learning is executed over a pre-trained network for few-shot classification. Furthermore, self-supervised learning is exploited to fit the target domain distribution by training on unlabeled target domain images. Experiments are conducted on NWPU, EuroSAT and Merced datasets to validate the effectiveness. IEEE |
关键词 | Domain shift few-shot learning scene classification self-supervised learning |
DOI | 10.1109/LGRS.2022.3174277 |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000799622200007 |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
EI入藏号 | 20222012128358 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/95898 |
专题 | 光谱成像技术研究室 |
作者单位 | 1.Key Laboratory of Spectral Imaging Technology CAS, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, Shaanxi, P. R. China, and University of Chinese Academy of Sciences, Beijing 100049, P. R. China; 2.Key Laboratory of Spectral Imaging Technology CAS, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, Shaanxi, P. R. China |
推荐引用方式 GB/T 7714 | Gong, Tengfei,Zheng, Xiangtao,Lu, Xiaoqiang. Meta Self-Supervised Learning for Distribution Shifted Few-Shot Scene Classification[J]. IEEE Geoscience and Remote Sensing Letters,2022,19. |
APA | Gong, Tengfei,Zheng, Xiangtao,&Lu, Xiaoqiang.(2022).Meta Self-Supervised Learning for Distribution Shifted Few-Shot Scene Classification.IEEE Geoscience and Remote Sensing Letters,19. |
MLA | Gong, Tengfei,et al."Meta Self-Supervised Learning for Distribution Shifted Few-Shot Scene Classification".IEEE Geoscience and Remote Sensing Letters 19(2022). |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Meta Self-Supervised(953KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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