Bearings always suffer from surface defects, such as scratches, black spots, and pits. Those defects have great effects on the quality service life of bearings. Therefore, defect detection bearing has been focus control. Deep learning successfully applied to objection due its excellent performance. However, it is difficult realize automatic based data-driven-based deep few samples data actual p...

Abstract In this paper, the insulator string images captured by Using unmanned aerial vehicles (UAVs) in power inspection are taken as research object. The image processing and deep learning methods used to label images, self-explosion fault of identified segmented strings is located. process semantic segmentation given data set enhanced, exchanged with algorithms. Based on SegNet, each pixel p...

For fabric defect detection, the crucial issue is that large defects can be detected but not small ones, and vice versa, this symmetric contradiction cannot solved by a single method, especially for colored fabrics. In paper, we propose method based on combination of two networks, SE SSD, namely SE-SSD Net method. The model SSD network adds module squeezing Excitation after its convolution oper...