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Laser & Optoelectronics Progress, Volume. 58, Issue 2, 0210010(2021)

Face Detection Algorithm Based on a Lightweight Attention Mechanism Network

Liuya Gao, Dong Sun*, and Yixiang Lu
Author Affiliations
  • College of Electric Engineering and Automation, Anhui University, Hefei, Anhui 230601, China
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    Figures&Tables (8)
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    References (29)
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    Figures & Tables(8)
    SE-Block structure diagram

    Fig. 1. SE-Block structure diagram

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    Visual structure of YOLOv3 network

    Fig. 2. Visual structure of YOLOv3 network

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    Improved lightweight multi-scale network

    Fig. 3. Improved lightweight multi-scale network

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    Relationship between average IOU and anchor box

    Fig. 4. Relationship between average IOU and anchor box

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    Loss curves of different models

    Fig. 5. Loss curves of different models

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    Detection results between YOLOv3 and improved network

    Fig. 6. Detection results between YOLOv3 and improved network

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    Quantitative detection results with improved network for different images

    Fig. 7. Quantitative detection results with improved network for different images

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    • Table 1. Comparison of detection indicators of different algorithms

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      Table 1. Comparison of detection indicators of different algorithms

      Detection algorithmPrecision /%Recall /%AP /%F1 /%Average time /s
      Faster-RCNN88.4162.5961.3973.293.077
      YOLOv392.3173.8173.1382.110.098
      mv3-YOLOv391.3070.6469.8279.650.026
      Our algorithm94.0883.9783.3388.730.022
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    Liuya Gao, Dong Sun, Yixiang Lu. Face Detection Algorithm Based on a Lightweight Attention Mechanism Network[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0210010

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    Paper Information

    Category: Image Processing

    Received: Jun. 17, 2020

    Accepted: Jul. 7, 2020

    Published Online: Jan. 5, 2021

    The Author Email: Sun Dong (sundong@ahu.edu.cn)

    DOI:10.3788/LOP202158.0210010

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology