摘要
针对使用无人机进行绝缘子识别实时性的要求,以感受野模块(RFB)网络为基础,提出了一种基于RFB模型改进的轻量型架构。使用MobileNetV3网络作为特征提取主干,设计了新的感受野模块RFB-X,并使用Focal-loss损失函数解决正负样本不平衡问题。实验结果表明,该模型提高了绝缘子的检测速度和准确率。
In response to the real-time requirements of using UAVs for insulator identification,based on the receptive field module(RFB)network,a lightweight architecture based on the improvement of the RFB model is proposed.Firstly,mobile MobileNetV3 is used as the main feature extraction module,then a new receptive field module RFB-X is designed,and finally the Focal-loss function is used to solve the imbalance of positive and negative samples.Experiments show that the model improves the speed and accuracy of insulator detection.
作者
吉志朋
张国伟
卢秋红
JI Zhi-peng;ZHANG Guo-wei;LU Qiu-hong(School of Automation Engineering,Shanghai University of Electric Power,Shanghai 200082,China;Shanghai Heshi Intelligent Technology Co.,Ltd,Shanghai 201100,China)
出处
《电工电气》
2020年第9期19-22,32,共5页
Electrotechnics Electric