Defect Identification Technology for Rotate Object in Transmission Lines Based on Multi-scale Residual Network
2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT)(2023)
Abstract
In this paper,a multi-scale residual network based defect identification technology for rotate targets in transmission lines is proposed. By combining the Res2Net module and the Squeeze-and-Excitation Networks to improve the attention of the backbone network ResNet-50 for multi-scale features, using five parameters (x,y,w,h,theta) to represent the directed bounding box, and using angle regression to improve the detection sensitivity of rotate anchor boxes, which greatly improves the Defect diagnosis effect for large metal fittings in transmission lines.
MoreTranslated text
Key words
Res2net,Rotating anchor frame,Equalizing ring,Wire clamp
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined