A Two-Stage and Hierarchical Contrastive Learning Method for Power Equipment Defect Detection
Power equipment defect detection is essential for ensuring reliable power grid operation. Existing power equipment defect detection methods typically formulate the task as multi-class object detection, but their performance is limited by long-tailed defect distributions and the neglect of normal operating conditions. T...