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Enhancing surface defect detection in industrial products through few-shot learning via meta-learning

Year: 2026

Type: article

Source: Engineering Applications of Artificial Intelligence

DOI: 10.1016/j.engappai.2026.114096

Authors: Quanyou Zhang, Yong Feng, Yanying Chen, Biao Wang, Yaohui Li, Baohua Qiang, Zhangli Lan

Institutions: Chongqing University, Xuchang University, China Meteorological Administration, Guilin University of Electronic Technology, Chongqing Jiaotong University

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Chongqing Municipal Education Commission, Guangxi Key Research and Development Program, Henan Provincial Science and Technology Research Project, Science and Technology Innovation Talents in Universities of Henan Province

Awards: G1594953407, G2044690221, G226574667, G3467323009, G4505759711, G7993787485

OpenAlex ID: W7128950966

FWCI: 4.37

Cites: 33

Cited by: 1

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