Improving Image Representation for Surface Defect Recognition with Small Data
Thai Tieu Phuong,
Duong Duc Tin,
Le Hong Trang
Abstract:Automated surface defect detection systems have received much attention for quality control in industrial production. Deep learning techniques are proving their capability in these systems, due to the complexity of defects and inspection requirements. However, in fact, the availability of defective data is a major challenge. It is thus difficult to build an efficient model for a high-accuracy inspection system. In this paper, we present a method to deal with this lack of defective data by using self-contrastiv… Show more
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