LSD-YOLOv5: A Steel Strip Surface Defect Detection Algorithm Based on Lightweight Network and Enhanced Feature Fusion Mode

In the field of metallurgy, the timely and accurate detection of surface defects on metallic materials is a crucial quality control task. However, current defect detection approaches face challenges with large model parameters and low detection rates. To address these issues, this paper proposes a l...

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Detalles Bibliográficos
Autores principales: Zhao, Huan, Wan, Fang, Lei, Guangbo, Xiong, Ying, Xu, Li, Xu, Chengzhi, Zhou, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386349/
https://www.ncbi.nlm.nih.gov/pubmed/37514852
http://dx.doi.org/10.3390/s23146558

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386349/
https://www.ncbi.nlm.nih.gov/pubmed/37514852
http://dx.doi.org/10.3390/s23146558

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