Tire defect classification using a deep convolutional sparse-coding network
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DOI: 10.1088/1361-6501/abddf3
Abstract: Automatic quality control has garnered great interest from academia and industry in recent decades. Tire defect detection and classification are critical research topics for driving safety and improving yields. In this work, a novel deep… read more here.
Keywords: tire defect; classification; network; sparse coding ... See more keywords