SEE-LPR: A Semantic Segmentation Based End-to-End System for Unconstrained License Plate Detection and Recognition

Dongqi Tang, Hao Kong, Xi Meng, Ruo-Ze Liu, Tong Lu. SEE-LPR: A Semantic Segmentation Based End-to-End System for Unconstrained License Plate Detection and Recognition. In Wen-Huang Cheng, Junmo Kim, Wei-Ta Chu, Peng Cui 0001, Jung-Woo Choi, Min-Chun Hu, Wesley De Neve, editors, MultiMedia Modeling - 26th International Conference, MMM 2020, Daejeon, South Korea, January 5-8, 2020, Proceedings, Part I. Volume 11961 of Lecture Notes in Computer Science, pages 543-554, Springer, 2020. [doi]

@inproceedings{TangKMLL20,
  title = {SEE-LPR: A Semantic Segmentation Based End-to-End System for Unconstrained License Plate Detection and Recognition},
  author = {Dongqi Tang and Hao Kong and Xi Meng and Ruo-Ze Liu and Tong Lu},
  year = {2020},
  doi = {10.1007/978-3-030-37731-1_44},
  url = {https://doi.org/10.1007/978-3-030-37731-1_44},
  researchr = {https://researchr.org/publication/TangKMLL20},
  cites = {0},
  citedby = {0},
  pages = {543-554},
  booktitle = {MultiMedia Modeling - 26th International Conference, MMM 2020, Daejeon, South Korea, January 5-8, 2020, Proceedings, Part I},
  editor = {Wen-Huang Cheng and Junmo Kim and Wei-Ta Chu and Peng Cui 0001 and Jung-Woo Choi and Min-Chun Hu and Wesley De Neve},
  volume = {11961},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-37731-1},
}