Journal of Geo-information Science, Volume. 22, Issue 1, 88(2020)

Anchor-Free Traffic Sign Detection

Hongchao FAN1...1,*, Wanzhi LI2,2, and Chaoquan ZHANG1,1,22 |Show fewer author(s)
Author Affiliations
  • 1Norwegian University of Science and Technology, Trondheim 7491, Norway
  • 1挪威科技大学,特隆赫姆7491
  • 2Wuhan University, Wuhan 430072, China
  • 2武汉大学,武汉430072
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    Figures & Tables(10)
    AF-TSD network structure
    Pre-processing of the input image
    Pipeline of deformable convolution
    Traditional convolution and deformable convolution
    Pipeline of the attention mechanism
    GTSDB dataset
    Curve of precision relative to recall rate in traffic sign detection
    Curve of training loss and test loss in AF-TSD network (the first 150 iterations)
    Traffic signs detection results
    • Table 2. Performance comparison of AF-TSD with Faster R-CNN, RetinaNet, YOLOv3, and YOLOve (Anchor-free)

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      Table 2. Performance comparison of AF-TSD with Faster R-CNN, RetinaNet, YOLOv3, and YOLOve (Anchor-free)

      方法输入图像尺寸像元×像元mAP/%s/每张图
      Faster R-CNN608×60888.500.120
      RetinaNet608×60892.430.094
      YOLOv3608×60893.540.024
      YOLOv3(Anchor-free)608×60894.920.026
      AF-TSD608×60896.800.032
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    Hongchao FAN, Wanzhi LI, Chaoquan ZHANG. Anchor-Free Traffic Sign Detection[J]. Journal of Geo-information Science, 2020, 22(1): 88

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    Paper Information

    Received: Aug. 5, 2019

    Accepted: --

    Published Online: Sep. 16, 2020

    The Author Email: FAN Hongchao (hongchao.fan@ntnu.no)

    DOI:10.12082/dqxxkx.2020.190424

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