SDLS-YOLO: An ultra-lightweight real-time fabric defect detection algorithm based on multi-module coupling

Abstract Current techniques for detecting fabric defects frequently encounter challenges such as com-plex structural requirements, high computational demands, and inherent speed-accuracy tradeoffs. To address these limitations, this study introduces SDLS-YOLO, an ultra-lightweight real-time detectio...

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Detalhes bibliográficos

Principais autores:	Jia Chen, Shunqi Mei, Zhenghui Ren, Li Tang, Bin Xu, Guojun Fu, Xiongxing Du, Sergei Ivanov
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Springer 2025-12-01
coleção:	Journal of King Saud University: Computer and Information Sciences
Assuntos:	Fabric defects SDLS-YOLO Fine-grained characteristics Lightweight Multi-Scale Fusion module (LMSF) Feature reuse Shape Distance Adaptive Focaler IoU (SDAF-IoU)
Acesso em linha:	https://doi.org/10.1007/s44443-025-00376-w
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