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Improving the efficiency of steel plate surface defect classification by reducing the labelling cost using deep active learning
Wenjia Yang, Youhang Zhou, Gaolei Meng, Yuze Li, Tianyu Gong
Izvirni znanstveni članek
Oznake: surface defect classification;convolutional neural network;active learning;global pooling;
Efficient surface defects classification is one of the research hotpots in steel plate defect recognition. Compared with traditional methods, deep learning methods have been effective in improving classification accuracy and efficiency, but require a large amount of labeled data, resulting in limite ...
Leto: 2024 Vir: Fakulteta za strojništvo (UL FS)
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