STD-Detector: spatial-to-depth feature-enhanced detection method for the surface defect detection of strip steel
Chunmei Wang,
Huan Liu,
Xiaobao Yang
et al.
Abstract:Due to the small size, high density, and background noise associated with strip surface defects, the current object detection model commonly faces limitations in performance. To address this issue, we propose a spatial-to-depth feature-enhanced detection method called STD-Detector. The method consists of two types STD-Conv-A and STD-Conv-B. First, the STD-Conv-A module is used in the backbone feature extraction network to expand the field of perception and enable the model to learn a wider range of background … Show more
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