Laser & Optoelectronics Progress, Volume. 58, Issue 20, 2010019(2021)

Double-Resolution Attention Network for Person Re-Identification

Jiajie Hu, Chungeng Li*, Jubai An, and Chao Huang
Author Affiliations
  • College of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning 116026, China
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    Figures & Tables(9)
    Network structure
    Network structure of the channel attention mechanism in this paper
    Features extracted from different resolution feature maps. (a) Original input image; (b)(c) feature maps extracted without downsampling; (d)(e) feature maps extracted after downsampling
    Channeled attention mechanisms focus on different detailed features. (a) Original input image; (b)--(e) heat maps
    Accuracy variation of the algorithm as the epoch increases on different datasets. (a) mAP result analysis; (b) Rank-1 result analysis
    • Table 1. Improvement effect of different modules on Market-1501 data set unit: %

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      Table 1. Improvement effect of different modules on Market-1501 data set unit: %

      ModelmAPRank-1Rank-5Rank-10
      Baseline68.585.394.096.3
      DR68.986.494.696.7
      DR+Local70.688.595.797.3
      DR+Local+Att75.191.296.397.9
      DR+Local+Att+BN82.594.497.898.5
      DRANet (3 parts)83.293.997.698.4
      DRANet (6 parts)79.992.797.698.5
      DRANet (4 parts)82.594.497.898.5
    • Table 2. Comparison of results on Market-1501 unit: %

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      Table 2. Comparison of results on Market-1501 unit: %

      MethodmAPr=1
      Bow+kissme[10]20.844.4
      SOMAnet[19]47.973.9
      MSCAN[20]57.580.8
      DML[21]68.887.7
      GLAD[22]73.989.9
      HA-CNN[23]75.591.2
      AlignedReID[8]79.391.8
      PCB+RPP[5]81.693.8
      SCPNet-a[9]81.894.1
      IANet[24]83.194.4
      DRANet (proposed)82.594.4
      TriNet[18] (RK)81.186.7
      AACN[25] (RK)83.088.7
      PSE+ECN[26] (RK)84.090.3
      AlignedReID[8] (RK)90.794.4
      DRANet (proposed) (RK)93.095.4
    • Table 3. Comparison of results on DUKEMTMC-REID unit: %

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      Table 3. Comparison of results on DUKEMTMC-REID unit: %

      MethodmAPr=1
      GAN[13]47.167.7
      SVDNet[27]56.876.7
      MultiScale[28]60.679.2
      HA-CNN[23]63.880.5
      GSRW[29]66.480.7
      SCPNet-a[9]68.584.8
      PCB+RPP[5]69.283.3
      GP-ReID[30]72.885.2
      IANet[24]73.487.1
      DRANet (proposed)74.187.2
    • Table 4. Comparison of results on CUHK03 unit: %

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      Table 4. Comparison of results on CUHK03 unit: %

      MethodLabeledDetected
      mAPr=1mAPr=1
      Pose Transfer[32]30.533.828.230.1
      PAN[33]35.036.934.036.3
      SVDNet[27]37.840.937.341.5
      HA-CNN[23]41.044.438.641.7
      MGCAM[34]50.250.146.946.7
      MLFN[35]49.254.747.852.8
      Mancs[31]63.969.060.565.5
      DRANet (proposed)65.368.361.364.1
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    Jiajie Hu, Chungeng Li, Jubai An, Chao Huang. Double-Resolution Attention Network for Person Re-Identification[J]. Laser & Optoelectronics Progress, 2021, 58(20): 2010019

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    Paper Information

    Category: Image Processing

    Received: Dec. 28, 2020

    Accepted: Jan. 20, 2021

    Published Online: Oct. 13, 2021

    The Author Email: Li Chungeng (li_chungeng@dlmu.edu.cn)

    DOI:10.3788/LOP202158.2010019

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