Road vehicle detection based on improved YOLOv3-SPP algorithm

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Papers | 更新时间：2024-05-31

- Road vehicle detection based on improved YOLOv3-SPP algorithm
- Journal on Communications Vol. 45, Issue 2, Pages: 68-78(2024)
- 作者机构：
  
  1. 北京信息科技大学信息与通信工程学院，北京 100101
  2. 北京信息科技大学光电测试技术及仪器教育部重点实验室，北京 100192
  3. 国家计算机网络应急技术处理协调中心，北京 100029
  4. 河北农业大学河北省农业大数据重点实验室，河北保定 071001
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62001034);The National Natural Science Foundation of China(62102130);The National Natural Science Foundation of China(6210031547);The Natural Science Foundation of Beijing(4232004);The Research and Development Program of Beijing Municipal Education Commission(KM202111232013);The Natural Science Foundation of Hebei Province(F2020204003);The Youth Top Talent Program Project of Hebei Province(BJ2019008)
- DOI：10.11959/j.issn.1000-436x.2024046
  CLC： TN92
- Online First：2024-02，
  
  Published：25 February 2024
- 稿件说明：
移动端阅览
Tao WANG, Hao FENG, Rongxin MI, et al. Road vehicle detection based on improved YOLOv3-SPP algorithm[J]. Journal on Communications, 2024, 45(2): 68-78.
DOI：

Tao WANG, Hao FENG, Rongxin MI, et al. Road vehicle detection based on improved YOLOv3-SPP algorithm[J]. Journal on Communications, 2024, 45(2): 68-78. DOI： 10.11959/j.issn.1000-436x.2024046.

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