• Laser & Optoelectronics Progress
  • Vol. 57, Issue 2, 21501 (2020)
Wang Weifeng*, Jin Jie, and Chen Jingming
Author Affiliations
  • School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
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    DOI: 10.3788/LOP57.021501 Cite this Article Set citation alerts
    Wang Weifeng, Jin Jie, Chen Jingming. Rapid Detection Algorithm for Small Objects Based on Receptive Field Block[J]. Laser & Optoelectronics Progress, 2020, 57(2): 21501 Copy Citation Text show less
    Structural diagram of receptive field block
    Fig. 1. Structural diagram of receptive field block
    Structural diagram of feature fusion module
    Fig. 2. Structural diagram of feature fusion module
    Network structure of proposed algorithm
    Fig. 3. Network structure of proposed algorithm
    Comparison of detection results of small objects. (a) Detection results of SSD algorithm; (b) detection results of proposed algorithm
    Fig. 4. Comparison of detection results of small objects. (a) Detection results of SSD algorithm; (b) detection results of proposed algorithm
    MethodBackboneDatasetmAP /%Frame rate /(frame·s-1)
    R-FCN[16]ResNet-101VOC07+1280.59
    FastYOLO[4]GoogleNet-9VOC07+1252.7163
    YOLO[4]VGG-16VOC07+1266.496
    YOLO-V2[17]DarkNet-19VOC07+1278.880
    DSSD321[9]ResNet-101VOC07+1278.69.5
    SSD300[5]VGG-16VOC07+1277.2120
    Proposed(300)VGG-16VOC07+1280.575
    Table 1. Comparison of detection results on PASCAL VOC 2007 test set for different object detection algorithms
    AlgorithmSSDSSD+RFBSSD+FusionProposedmodel
    Add RFB?××
    Add Fusion?××
    mAP /%77.280.178.980.5
    FPS1208310475
    Table 2. Influences of different modules on accuracy of algorithms
    LayermAP /%
    Conv4_380.1
    Conv4_3+Conv5_380.5
    Conv4_3+Conv680.2
    Table 3. Detection results of different fusion ways
    Wang Weifeng, Jin Jie, Chen Jingming. Rapid Detection Algorithm for Small Objects Based on Receptive Field Block[J]. Laser & Optoelectronics Progress, 2020, 57(2): 21501
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