Simulated Traffic Sign Classification Using Cross-Connected Convolution Neural Networks Based on Compressive Sensing Domain

Jiping Xiong, Lingfeng Ye, Fei Wang, Tong Ye. Simulated Traffic Sign Classification Using Cross-Connected Convolution Neural Networks Based on Compressive Sensing Domain. In Houbing Song, Dingde Jiang, editors, Simulation Tools and Techniques - 11th International Conference, SIMUtools 2019, Chengdu, China, July 8-10, 2019, Proceedings. Volume 295 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 588-597, Springer, 2019. [doi]

@inproceedings{XiongYWY19,
  title = {Simulated Traffic Sign Classification Using Cross-Connected Convolution Neural Networks Based on Compressive Sensing Domain},
  author = {Jiping Xiong and Lingfeng Ye and Fei Wang and Tong Ye},
  year = {2019},
  doi = {10.1007/978-3-030-32216-8_57},
  url = {https://doi.org/10.1007/978-3-030-32216-8_57},
  researchr = {https://researchr.org/publication/XiongYWY19},
  cites = {0},
  citedby = {0},
  pages = {588-597},
  booktitle = {Simulation Tools and Techniques - 11th International Conference, SIMUtools 2019, Chengdu, China, July 8-10, 2019, Proceedings},
  editor = {Houbing Song and Dingde Jiang},
  volume = {295},
  series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
  publisher = {Springer},
  isbn = {978-3-030-32216-8},
}