Transfer learning-based approach using new convolutional neural network classifier for steel surface defects classification

Author:

Ibrahim Alaa Aldein M.S.ORCID,Tapamo Jules R.ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference47 articles.

1. A novel deep convolutional neural network algorithm for surface defect detection;Zhang;J. Comput. Des. Eng.,2022

2. An efficient lightweight convolutional neural network for industrial surface defect detection;Zhang;Artif. Intell. Rev.,2023

3. Fabric surface defect detection using SESSDNet;Zhao;Symmetry,2022

4. High-precision detection of defects of tire texture through X-ray imaging based on local inverse difference moment features;Zhao;Sensors,2018

5. An EA-based pruning on improved YOLOv3 for rapid copper elbow surface defect detection;Xian;Eng. Appl. Artif. Intell.,2023

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