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YOLOv5-CD: Strip steel surface defect detection method based on coordinate attention and a decoupled head

The ability to detect strip steel surface defects is crucial for ensuring the quality of items made from that material. A YOLOv5-CD algorithm is proposed to overcome the problems of insufficient feature extraction ability, low detection accuracy, and slow convergence rate of the strip steel surface...

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Principais autores: Bin Wang, Meng Wang, Jianzhong Yang, Hainan Luo
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2023-12-01
coleção:Measurement: Sensors
Assuntos:
Coordinate attention
Decoupled head
YOLOv5
Defect detection
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2665917423002453
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