CRGF-YOLO: An Optimized Multi-Scale Feature Fusion Model Based on YOLOv5 for Detection of Steel Surface Defects

CRGF-YOLO: An Optimized Multi-Scale Feature Fusion Model Based on YOLOv5 for Detection of Steel Surface Defects

Abstract The identification of imperfections on steel surfaces is vital for ensuring the quality of industrial products. It requires the capability of real-time detection with high accuracy. This paper proposes the CRGF-YOLO (Contextual Reparameterized Generalized Feature) model based on YOLOv5. In...

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Manylion Llyfryddiaeth
Prif Awduron: Tao Yu, Xu Luo, Qiang Li, Lei Li
Fformat: Erthygl
Iaith:English
Cyhoeddwyd: Springer 2024-06-01
Cyfres:International Journal of Computational Intelligence Systems
Pynciau:
Defect detection
YOLO
Generalized feature pyramid network
Contextual transformer
Structural reparameterization
Mynediad Ar-lein:https://doi.org/10.1007/s44196-024-00559-9

Rhyngrwyd

https://doi.org/10.1007/s44196-024-00559-9

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