Semi-supervised defect classification of steel surface based on multi-training and generative adversarial network
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DOI: 10.1016/j.optlaseng.2019.06.020
Abstract: Abstract Defect inspection is very important for guaranteeing the surface quality of industrial steel products, but related methods are based primarily on supervised learning which requires ample labeled samples for training. However, there can be… read more here.
Keywords: surface; steel surface; classification; network ... See more keywords