DDR-YOLO: An Efficient Detection Model Based on YOLO11s for Steel Surface Defect
In the process of steel production, surface defects on the product are inevitable. Due to challenges such as high surface reflectivity and significant variation in defect scales on steel strips, this paper proposes an improved YOLO11-based algorithm to enhance the accuracy of steel surface defect de...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2025-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/11129104/ |
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