EFC-YOLO: An Efficient Surface-Defect-Detection Algorithm for Steel Strips

The pursuit of higher recognition accuracy and speed with smaller model sizes has been a major research topic in the detection of surface defects in steel. In this paper, we propose an improved high-speed and high-precision Efficient Fusion Coordination network (EFC-YOLO) without increasing the mode...

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Detalles Bibliográficos
Autores principales: Li, Yanshun, Xu, Shuobo, Zhu, Zhenfang, Wang, Peng, Li, Kefeng, He, Qiang, Zheng, Quanfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490735/
https://www.ncbi.nlm.nih.gov/pubmed/37688077
http://dx.doi.org/10.3390/s23177619

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490735/
https://www.ncbi.nlm.nih.gov/pubmed/37688077
http://dx.doi.org/10.3390/s23177619

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