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Volume 39 Issue 1
Jan.  2021
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Article Navigation >  DIGITAL TECHNOLOGY & APPLICATION  > 2021  >  39(1): 121-123
CHEN Peng-cheng, QI Bao-ren, KONG De-yu. Application of an Improved Non Maximum SuppressionAlgorithm in YOLOv3 Model[J]. DIGITAL TECHNOLOGY & APPLICATION, 2021, 39(1): 121-123. doi: 10.19695/j.cnki.cn12-1369.2021.01.37
Citation: CHEN Peng-cheng, QI Bao-ren, KONG De-yu. Application of an Improved Non Maximum Suppression Algorithm in YOLOv3 Model[J]. DIGITAL TECHNOLOGY & APPLICATION, 2021, 39(1): 121-123. doi: 10.19695/j.cnki.cn12-1369.2021.01.37
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Application of an Improved Non Maximum Suppression Algorithm in YOLOv3 Model

doi: 10.19695/j.cnki.cn12-1369.2021.01.37

  • 1.Suzhou University of Science and Technology, Suzhou Jiangsu 215009; 2.Hangzhou University of Electronic Science and Technology, Hangzhou Zhejiang 310000

  • Received Date: 2020-11-02
  • Rev Recd Date: 2021-01-17
    • Available Online: 2021-09-23
  • Publish Date: 2021-01-25
    Abstract
  • Most of the YOLOv3 target detection models use non maximum suppression algorithm when determining the candidate region. This kind of algorithm may have the problem of repeated detection in multi-target detection task. Aiming at this problem, this paper optimizes the soft NMS algorithm studied by predecessors and proposes I-NMS algorithm. The algorithm is applied to YOLOv3 algorithm for modeling, and the experimental results show that the algorithm is effective I-NMS algorithm is helpful to solve the problem of duplicate detection in yolov3 algorithm.

     

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    • References(2)
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    王元元.离散数学教程[M].北京:高等教育出版社,2015.
    [2]
    屈婉玲,耿素云,张立昂.离散数学[M].北京:高等教育出版社,2015.
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