REDef-DETR: real-time and efficient DETR for industrial surface defect detection
Dejian Li,
Changhong Jiang,
Tielin Liang
Abstract:Industrial surface defect detection is an important part of industrial production, which aims to identify and detecting various defects on the surface of product to ensure quality and meet customer requirements. With the development of deep learning and image processing technologies, the surface defect detection methods based on computer vision has become the mainstream method. However, the prevalent convolutional neural network(CNN)-based de-fect detection methods also have many problems. For example, these m… Show more
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