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App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 2

Survey of few-shot image classification based on deep learning

Chen Jingyu 1
Wu Jiaying1
Luo Jia2,3
Yu Wenqian4
Hu Jinglu4
Zhong Zhaoman1
1. College of Computer Engineering, Jiangsu Ocean University, Lianyungang Jiangsu 222005, China
2. College of Economics and Management, Beijing University of Technology, Beijing 100124, China
3. Chongqing Research Institute, Beijing University of Technology, Chongqing 401121, China
4. Graduate School of Information, Production and Systems, Waseda University, Fukuoka 808- 0135, Japan
DOI: 10.19734/j.issn.1001-3695.2025.05.0230

Abstract

This paper addresses the challenges posed by limited training resources and stringent deployment requirements by focusing on few-shot image classification methods, which enable accurate model training with minimal labeled data. A systematic review of deep learning-based few-shot classification algorithms is conducted, outlining their general pipeline and evaluation metrics. Existing approaches are categorized into optimization-based, metric-based, and multimodal-based groups, with key technical routes and representative algorithms summarized for each category. Furthermore, performance trends of existing methods on few-shot datasets are analyzed, highlighting future research.

Foundation Support

北京市自然科学基金资助项目(9242003)
江苏省高等学校自然科学研究项目(23KJB520007)
重庆市自然科学基金资助项目(CSTB2023NSCQ-MSX0391)
江苏省"青蓝工程"大数据优秀教学团队(2022-29)
连云港市重点研发计划(产业前瞻与关键核心技术)项目(CG2323)
国家自然科学基金资助项目(72174079)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.05.0230
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 2

Publish History

[2025-10-25] Accepted Paper

Cite This Article

陈镜宇, 吴加莹, 罗佳, 等. 基于深度学习的小样本图像分类方法综述 [J]. 计算机应用研究, 2026, 43 (2). (2025-11-04). https://doi.org/10.19734/j.issn.1001-3695.2025.05.0230. (Chen Jingyu, Wu Jiaying, Luo Jia, et al. Survey of few-shot image classification based on deep learning [J]. Application Research of Computers, 2026, 43 (2). (2025-11-04). https://doi.org/10.19734/j.issn.1001-3695.2025.05.0230. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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