Self-supervised pre-training of CNNs for flatness defect classification in the steelworks industry

Self-supervised pre-training of CNNs for flatness defect classification in the steelworks industry

Classification of surface defects in the steelworks industry plays a significant role in guaranteeing the quality of the products. From an industrial point of view, a serious concern is represented by the hot-rolled products shape defects and particularly those concerning the strip flatness. Flatnes...

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Bibliographic Details
Main Authors: Filippo Galli, Antonio Ritacco, Giacomo Lanciano, Marco Vannocci, Valentina Colla, Marco Vannucci
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2020-03-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:
self-supervision
steelworks
deep learning
cnn
Online Access:http://ijain.org/index.php/IJAIN/article/view/410

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