A Semi-Supervised Deep Learning Approach for the Classification of Steel Surface Defects

Automatic surface inspection (ASI) to identify defects in manufactured items plays an important role in ensuring the production quality in industrial manufacturing processes. Various approaches have been proposed for this purpose, and the majority of them use supervised learning. Supervised learning requires labelled data for training. Obtaining a large amount of labelled data is a difficult, and ...