A Transfer Residual Neural Network Based on ResNet-50 for Detection of Steel Surface Defects

A Transfer Residual Neural Network Based on ResNet-50 for Detection of Steel Surface Defects

With the increasing popularity of deep learning, enterprises are replacing traditional inefficient and non-robust defect detection methods with intelligent recognition technology. This paper utilizes TL (transfer learning) to enhance the model’s recognition performance by integrating the Adam optimi...

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Bibliographic Details
Main Authors: Luying Zhang, Yuchen Bian, Peng Jiang, Fengyun Zhang
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Applied Sciences
Subjects:
steel defect detection
transfer learning
residual network
interpretability
CNN
Online Access:https://www.mdpi.com/2076-3417/13/9/5260

Internet

https://www.mdpi.com/2076-3417/13/9/5260

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