• Electronics Optics & Control
  • Vol. 27, Issue 10, 78 (2020)
LI Ang1、2, WANG Shengquan2, ZHENG Baoyu1, CHEN Jiying3, and JI Jiaxin3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2020.10.016 Cite this Article
    LI Ang, WANG Shengquan, ZHENG Baoyu, CHEN Jiying, JI Jiaxin. Improvement of RetinaNet and Its Application in Military Vehicle Detection[J]. Electronics Optics & Control, 2020, 27(10): 78 Copy Citation Text show less

    Abstract

    In recent years, object detection has become a hot topic in the field of information technology.Whether it is a research institute or a large-scale technology-based enterprise, it is pursuing the best object detection algorithm.RetinaNet is an important discovery.It can be seen that the Facebook AI team, the proponent of RetinaNet, has referenced a large number of object detection cases, making it a hot method in the field of object detection.It is better than YOLOv3 and is not so complex as Fastest R-CNN.In this paper, the application of RetinaNet in military vehicle detection is studied, and some suggestions are put forward for improvement.
    LI Ang, WANG Shengquan, ZHENG Baoyu, CHEN Jiying, JI Jiaxin. Improvement of RetinaNet and Its Application in Military Vehicle Detection[J]. Electronics Optics & Control, 2020, 27(10): 78
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