Journal of Cybersecurity

UAV auxiliary insulator defect detection mechanism based on partial convolution and dynamic-static fusion

YANG Huiting, YANG Zhi, GUO Qingrui, LI Feng, GUO Xuerang, GUO Zhiqing, WANG Liejun

Journal of Cybersecurity, 2025, 3(1): 86-99. DOI: 10.20172/j.issn.2097-3136.250108

Fig.7 Comparison of SFID and SID datasets

Other figure/table from this article

Fig.1 Relationship of model parameters and inference time to detection accuracy (details are in Table 1)
Fig.2 Overall structure of UID-DETR for UAV insulator defect detection
Fig.3 Overall structure of FREP
Fig.4 Overall structure of EISI
Fig.5 Overall structure of the static fusion
Fig.6 Overall structure of the dynamic fusion
Fig.8 Key performance indicators and their trends during training
Fig.9 Comparison of confusion matrices for UID-DETR and baseline
Fig.10 Comparison of P-R curve results for UID-DETR and baseline
Table 1 Performance comparison of object detection models on SFID and SID datasets
Fig.11 Detection results on SFID and SID datasets
Table 2 Results of ablation experiments
Table 3 Comparison with different lightweight backbone networks