Steel Surface Defect Detection Using Improved Deep Learning Algorithm: ECA-SimSPPF-SIoU-Yolov5

Steel Surface Defect Detection Using Improved Deep Learning Algorithm: ECA-SimSPPF-SIoU-Yolov5

Steel surface defect detection is an indispensable part of industrial production and processing processes. It helps to reduce production costs, ensure product quality, improve production safety and compliance, and maintain sustainability and competitiveness. To address the low detection accuracy of...

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Bibliographic Details
Main Authors: Fei Ren, Jiajie Fei, Hongsheng Li, Bonifacio T. Doma
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Defect detection
deep learning
object detection
convolutional neural network
defect classification
Online Access:https://ieeexplore.ieee.org/document/10453559/

Internet

https://ieeexplore.ieee.org/document/10453559/

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