An End-to-End Steel Surface Classification Approach Based on EDCGAN and MobileNet V2

In the production process of steel products, it is very important to find defects, which can not only reduce the failure rate of industrial production but also can reduce economic losses. All deep learning-based methods need many labeled samples for training. However, in the industrial field, there...

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Bibliographic Details
Published in:Sensors
Main Authors: Ge Jin, Yanghe Liu, Peiliang Qin, Rongjing Hong, Tingting Xu, Guoyu Lu
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Subjects:
defect classification
image processing
generative adversarial networks
data augmentation
multi-training
deep learning
Online Access:https://www.mdpi.com/1424-8220/23/4/1953

Internet

https://www.mdpi.com/1424-8220/23/4/1953

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