Surface Defect Detection of Steel Plate Based on SKS-YOLO

Surface Defect Detection of Steel Plate Based on SKS-YOLO

During the production process of steel plate, surface defect detection is crucial for high-quality products. For the existing defect detection method based on machine vision, there are various types of problems, such as large model calculations, low detection accuracy and difficulties of recognizing...

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Bibliografski detalji
Glavni autori: Shiyang Zhou, Siming Ao, Zhiying Yang, Huaiguang Liu
Format: Članak
Jezik:English
Izdano: IEEE 2024-01-01
Serija:IEEE Access
Teme:
Surface defect detection
YOLO
attention mechanism
anchor frames
loss function
Online pristup:https://ieeexplore.ieee.org/document/10580958/

Internet

https://ieeexplore.ieee.org/document/10580958/

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