CN-YOLO: cascaded network based defect detection approach for insulator aerial images with complex background
Bao Liu,
Jie Li
Abstract:Quick and accurate detection of insulator defects from the complex aerial background (such as trees, hillsides, lakes, and buildings) is important work to ensure the safe operation of transmission lines. The existing detection methods have difficulty detecting the defect target due to the strong interference of complex backgrounds in aerial images. To solve this problem, we propose an insulator defect detection model based on a cascaded network. First, we introduce a hierarchical semantic segmentation network … Show more
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