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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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2023-12-01
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| Serie: | Measurement: Sensors |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S2665917423002453 |
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