Incorporating long-tail data in complex backgrounds for visual surface defect detection in PCBs

Incorporating long-tail data in complex backgrounds for visual surface defect detection in PCBs

Abstract High-quality printed circuit boards (PCBs) are essential components in modern electronic circuits. Nevertheless, most of the existing methods for PCB surface defect detection neglect the fact that PCB surface defects in complex backgrounds are prone to long-tailed data distributions, which...

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Bibliographic Details
Main Authors: Liying Zhu, Sen Wang, Mingfang Chen, Aiping Shen, Xuangang Li
Format: Article
Language:English
Published: Springer 2024-07-01
Series:Complex & Intelligent Systems
Subjects:
PCB defect detection
Object detection
EFFNet
Auxiliary supervision
BCE-LRM
Online Access:https://doi.org/10.1007/s40747-024-01554-5

Internet

https://doi.org/10.1007/s40747-024-01554-5

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