A Novel Adversarial Deep Learning Method for Substation Defect Image Generation
Na Zhang,
Gang Yang,
Fan Hu
et al.
Abstract:The presence of defects in substation equipment is a major factor affecting the safety of power transmission. Therefore, timely and accurate detection of these defects is crucial. As intelligent inspection robots advance, using mainstream object detection models to diagnose surface defects in substation equipment has become a focal point of current research. However, the lack of defect image data is one of the main factors affecting the accuracy of supervised deep learning-based defect detection models. To add… Show more
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