Open Access
ITM Web Conf.
Volume 45, 2022
2021 3rd International Conference on Computer Science Communication and Network Security (CSCNS2021)
Article Number 01013
Number of page(s) 7
Section Computer Technology and System Design
Published online 19 May 2022
  1. Zhai Yongjie, Wang Di, Zhang Muliu, et al., Fault detection of insulator based on saliency and adaptive morphology. Multimedia Tools and Applications, 2017. 76(9): p. 12051-12064. [CrossRef] [Google Scholar]
  2. Han Z, Qiao Y, Sun Y, et al. Research on image recognition based insulator fault detection method for UVA transmission line. Modern Electronics Technique, 2017. [Google Scholar]
  3. Yang Xiao-Hui; Sheng Fei; Xue Peng; Gu Feng-Jie; Mi Xin, Defect detection for grid insulator using aerial image based on deep learning, Information Technology (China), 2020(4). [Google Scholar]
  4. Xian Tao, Dapeng Zhang, Zihao Wang, et al., Detection of Power Line Insulator Defects using Aerial Images Analyzed with Convolutional Neural Networks. IEEE Transactions on Systems, Man, and Cybernetics, 2020. 50(4): p. 1486-1498. [CrossRef] [Google Scholar]
  5. Huang Ling; Zhao Kai; Li Jidong; Feng Hao; Wang Yanqing; Ma Bihuan, Insulator image detection based on feature pyramid and multi-task learning, Electrical Measurement & Instrumentation (China), 2021, 4: 37-43. [Google Scholar]
  6. Shaoqing Ren, Kaiming He, Ross Girshick, et al., Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. IEEE transactions on pattern analysis and machine intelligence, 2017. 39(6). [Google Scholar]
  7. Liu Wei, Anguelov Dragomir, Erhan Dumitru, et al. SSD: Single Shot MultiBox Detector. in european conference on computer vision. 2016. [Google Scholar]
  8. Lin Tsungyi, Goyal Priya, Girshick Ross, et al. Focal Loss for Dense Object Detection. in international conference on computer vision. 2017. [Google Scholar]
  9. Redmon Joseph, Farhadi Ali, Yolov3: An Incremental Improvement. arXiv: Computer Vision and Pattern Recognition, 2018. [Google Scholar]
  10. Xiaohong Zhang, Liqing Jiang, Dongxu Yang, et al., Urine Sediment Recognition Method Based on Multi-View Deep Residual Learning in Microscopic Image. Journal of medical systems, 2019. 43(11). [Google Scholar]
  11. Zhang H, Li J, Zhang B. Foreign Object Detection on Insulators Based on Improved YOLO v3. Electr. Power, 2020, 53: 49-55. [Google Scholar]

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