Laser & Optoelectronics Progress, Volume. 59, Issue 24, 2415002(2022)

Traffic Sign Detection Algorithm Based on Modified Anchor-Free Model

Lü Wei, Zhiyin Liang, and Jinghui Chu*
Author Affiliations
  • School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
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    Figures & Tables(9)
    Proposed structure based on Anchor-Free model
    Residual augmentation decoder module
    Structure of Ghost module
    Structure of Ghost bottleneck
    Frequency distribution of traffic signs with frequency greater than 100 in TT100K
    P-R curves for traffic signs of different sizes
    Visualization results
    • Table 1. Comparison results of detection performance for different sizes of traffic signs on TT100K dataset

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      Table 1. Comparison results of detection performance for different sizes of traffic signs on TT100K dataset

      MethodAll /%Small /%Medium /%Large /%Params /106Model size /MbitFLOPs /109
      Faster R-CNN5R867791921345181267
      A82738886
      YOLOv323R9287959162237802
      A85808982
      YOLOv424R9287959264214728
      A88819286
      Zhu et al22R9187948881418
      A88829191
      CenterNet-Res10111R9185959453214768
      A89789492
      CenterNet-Hourglass11R948996941917654672
      A90839593
      Proposed methodR938896951664320
      A90839593
    • Table 2. Results of ablation experiments of various components on TT100K dataset

      View table

      Table 2. Results of ablation experiments of various components on TT100K dataset

      ModelR /%A /%AP /%Params /106Model Size /MbitFLOPs /109
      Base89.387.289.815.462.2295.4
      Base+RADM90.888.691.915.763.0296.9
      Base+MFFN92.189.492.715.863.6318.4
      Base+RADM+MFFN92.590.393.616.164.4320.1
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    Lü Wei, Zhiyin Liang, Jinghui Chu. Traffic Sign Detection Algorithm Based on Modified Anchor-Free Model[J]. Laser & Optoelectronics Progress, 2022, 59(24): 2415002

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    Paper Information

    Category: Machine Vision

    Received: Sep. 1, 2021

    Accepted: Oct. 27, 2021

    Published Online: Jan. 11, 2023

    The Author Email: Jinghui Chu (cjh@tju.edu.cn)

    DOI:10.3788/LOP202259.2415002

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