Chao-Xing Zhang

A Two-Stage and Hierarchical Contrastive Learning Method for Power Equipment Defect Detection

A two-stage framework that decouples component localization from operating-state recognition is proposed that consistently outperforms conventional multi-class detection methods, especially on rare defect categories, while effectively reducing false alarms in practical inspection scenarios.