DC-YOLOv5: Improved YOLOv5 for Transmission Line Fittings Detection Based on Deformable Convolution and Coordinate Attention

Qiang He, Biaojun Li, Ting Liang, Pei Zhou, Mingquan Yang, Jun Zhu, Ruiheng Zhou. DC-YOLOv5: Improved YOLOv5 for Transmission Line Fittings Detection Based on Deformable Convolution and Coordinate Attention. In Antonio J. Tallón-Ballesteros, Raquel Beltran-Barba, editors, Fuzzy Systems and Data Mining IX - Proceedings of FSDM 2023, Hybrid Event, Chongqing, China, 10-13 November 2023. Volume 378 of Frontiers in Artificial Intelligence and Applications, pages 662-669, IOS Press, 2023. [doi]

@inproceedings{HeLLZYZZ23,
  title = {DC-YOLOv5: Improved YOLOv5 for Transmission Line Fittings Detection Based on Deformable Convolution and Coordinate Attention},
  author = {Qiang He and Biaojun Li and Ting Liang and Pei Zhou and Mingquan Yang and Jun Zhu and Ruiheng Zhou},
  year = {2023},
  doi = {10.3233/FAIA231076},
  url = {https://doi.org/10.3233/FAIA231076},
  researchr = {https://researchr.org/publication/HeLLZYZZ23},
  cites = {0},
  citedby = {0},
  pages = {662-669},
  booktitle = {Fuzzy Systems and Data Mining IX - Proceedings of FSDM 2023, Hybrid Event, Chongqing, China, 10-13 November 2023},
  editor = {Antonio J. Tallón-Ballesteros and Raquel Beltran-Barba},
  volume = {378},
  series = {Frontiers in Artificial Intelligence and Applications},
  publisher = {IOS Press},
  isbn = {978-1-64368-471-0},
}