Strip Steel Surface Defects Classification Based on Generative Adversarial Network and Attention Mechanism

Strip Steel Surface Defects Classification Based on Generative Adversarial Network and Attention Mechanism

In a complex industrial environment, it is difficult to obtain hot rolled strip steel surface defect images. Moreover, there is a lack of effective identification methods. In response to this, this paper implements accurate classification of strip steel surface defects based on generative adversaria...

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Bibliographic Details
Main Authors: Zhuangzhuang Hao, Zhiyang Li, Fuji Ren, Shuaishuai Lv, Hongjun Ni
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Metals
Subjects:
hot rolled strip steel
defect classification
generative adversarial network
attention mechanism
deep learning
Online Access:https://www.mdpi.com/2075-4701/12/2/311

Internet

https://www.mdpi.com/2075-4701/12/2/311

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