Laser & Optoelectronics Progress, Volume. 60, Issue 4, 0410024(2023)

Multi-Scale Receptive Field Feature Fusion Algorithm based on MobileNet

Yukai Huang, Qingwang Wang*, Tao Shen**, Yan Zhu, and Jian Song
Author Affiliations
  • Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
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    Figures & Tables(14)
    Overall network structure
    Depthwise separable convolution
    Structure of FPN
    Structure of RFB
    FPN-RFB module
    Structure of RFB. (a) Original structure of RFB; (b) lightweight structure of RFB
    Structure of ECA
    ECA module
    Visualized results of PASCAL VOC dataset. (a) Detection result of MobileNet; (b) detection result of proposed algorithm
    Visualized results of KITTI dataset. (a) Detection result of MobileNet; (b) detection result of proposed algorithm
    • Table 1. Comparison of performance of different algorithms in VOC

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      Table 1. Comparison of performance of different algorithms in VOC

      AlgorithmBackboneTrain dataTest dataInput sizemAP /%FPSSize /MB
      Faster-RCNNVGG-16VOC07+12VOC07600×60076.36522.9
      MobileNetMobileNetVOC07+12VOC07300×30071.94833.8
      SSDVGG-16VOC07+12VOC07300×30077.130100.4
      YOLOv3Darknet-53VOC07+12VOC07416×41678.422237.2
      YOLOv3-TinyDarknet-19VOC07+12VOC07416×41657.36123.2
      Proposed algorithmMobileNetVOC07+12VOC07300×30076.13450.3
    • Table 2. Test results of different algorithms for various target categories

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      Table 2. Test results of different algorithms for various target categories

      AlgorithmpersoncarbottleplantchairmAP /%
      MobileNet73.181.034.445.349.371.9
      SSD78.186.441.048.756.577.1
      YOLOv378.582.264.152.261.378.4
      YOLOv3-tiny69.174.725.026.933.457.3
      Proposed algorithm79.587.047.050.954.476.1
    • Table 3. Comparison of performance of different algorithms in KITTI

      View table

      Table 3. Comparison of performance of different algorithms in KITTI

      AlgorithmBackboneInput sizemAP /%FPSSize /MB
      MobileNetMobileNet300×30058.14930.5
      SSDVGG-16300×30074.83098.3
      YOLOv3Darknet53416×41675.422234.8
      YOLOv3-TinyDarknet19416×41647.86120.1
      Proposed algorithmMobileNet300×30073.53448.5
    • Table 4. Analysis of ablation test results

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      Table 4. Analysis of ablation test results

      FPNRFBs-RFBECAmAP /%FPSSize /MB
      71.94833.5
      74.24239.8
      76.03358.3
      75.93449.8
      76.13450.3
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    Yukai Huang, Qingwang Wang, Tao Shen, Yan Zhu, Jian Song. Multi-Scale Receptive Field Feature Fusion Algorithm based on MobileNet[J]. Laser & Optoelectronics Progress, 2023, 60(4): 0410024

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    Paper Information

    Category: Image Processing

    Received: Jan. 25, 2022

    Accepted: Mar. 30, 2022

    Published Online: Feb. 14, 2023

    The Author Email: Wang Qingwang (786120585@qq.com), Shen Tao (shentao@kust.edu.cn)

    DOI:10.3788/LOP220628

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