Few-Shot Surface Defect Detection in Sinusoidal Wobble Laser Welds Using StyleGAN2-AFMS Augmentation and YOLO11n-WAFE Detector

In the manufacturing of high-reliability components, sinusoidal wobble laser welding has gained preference due to its excellent performance. However, surface defect inspection for such welds is challenged by large variations in defect scales, the coexistence of multiple defects, and scarce samples,...

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Bibliografski detalji

Glavni autori:	Guangkai Ma, Jianwen Zhang, Jiheng Jiang
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2026-02-01
Serija:	Automation
Teme:	defect detection sinusoidal wobble laser welding few-shot learning weld defect YOLO generative adversarial network
Online pristup:	https://www.mdpi.com/2673-4052/7/2/38
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