WSNet: A local-global consistent traffic density estimation method based on weakly supervised learning

Ying-Xiang Hu, Rui-sheng Jia, Yan-Bo Liu, Yong-Chao Li, Hong-mei Sun. WSNet: A local-global consistent traffic density estimation method based on weakly supervised learning. Knowl.-Based Syst., 255:109727, 2022. [doi]

@article{HuJLLS22,
  title = {WSNet: A local-global consistent traffic density estimation method based on weakly supervised learning},
  author = {Ying-Xiang Hu and Rui-sheng Jia and Yan-Bo Liu and Yong-Chao Li and Hong-mei Sun},
  year = {2022},
  doi = {10.1016/j.knosys.2022.109727},
  url = {https://doi.org/10.1016/j.knosys.2022.109727},
  researchr = {https://researchr.org/publication/HuJLLS22},
  cites = {0},
  citedby = {0},
  journal = {Knowl.-Based Syst.},
  volume = {255},
  pages = {109727},
}