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Day44 - Backbone中C3/C2f后添加一层GAM在VisDrone上的表现

yolov5n/s/m和yolov8n/s仅在backbone的C3/C2f模块后添加一层GAM,在VisDrone上训练200epochs

  • Yolov5n-gam

    Parameters: 3.234M

    ClassPrecisionRecallmAP50mAP50-95
    all0.4360.3280.3240.187
    pedestrian0.4390.3410.3430.147
    people0.4930.2410.2780.0979
    bicycle0.2030.1170.07290.0276
    car0.6390.7430.7530.518
    van0.4790.3650.3810.261
    truck0.4220.2660.2670.173
    tricycle0.4080.2330.2180.116
    awning-tricycle0.2580.140.1260.0777
    bus0.5760.4330.4340.3
    motor0.4460.3960.3650.15
  • Yolov5s-gam

    Parameters: 11.465M

    ClassPrecisionRecallmAP50mAP50-95
    all0.5040.3720.3850.228
    pedestrian0.560.3590.410.186
    people0.5470.2720.3190.122
    bicycle0.2890.140.1280.0514
    car0.7310.7620.7910.564
    van0.5270.4420.4580.323
    truck0.4930.3520.3560.232
    tricycle0.4210.2870.2640.141
    awning-tricycle0.2780.1790.1420.0853
    bus0.6720.4940.550.382
    motor0.5230.4340.4350.191
  • Yolov5m-gam

    Parameters: 30.308M

    ClassPrecisionRecallmAP50mAP50-95
    all0.5190.410.420.256
    pedestrian0.570.4070.450.21
    people0.5740.3030.3480.137
    bicycle0.2650.1860.150.0673
    car0.760.7790.8120.59
    van0.5330.4810.4830.347
    truck0.5110.3850.3990.271
    tricycle0.4310.3410.3170.18
    awning-tricycle0.3090.2070.1820.112
    bus0.70.5380.5950.433
    motor0.5360.4740.4690.214
  • Yolov8n-gam

    Parameters: 3.736M

    ClassPrecisionRecallmAP50mAP50-95
    all0.4370.3320.330.192
    pedestrian0.4540.3550.3610.156
    people0.4940.2430.2750.1
    bicycle0.2260.1030.08110.0326
    car0.6550.7490.7620.528
    van0.4810.3880.3860.267
    truck0.4380.2760.2810.182
    tricycle0.3560.230.2090.112
    awning-tricycle0.2660.1470.1210.0766
    bus0.5530.4340.4630.314
    motor0.4470.3930.3640.155
  • Yolov8s-gam

    Parameters: 13.478M

    ClassPrecisionRecallmAP50mAP50-95
    all0.5020.3860.3920.236
    pedestrian0.5380.3790.4140.191
    people0.5510.2830.3250.125
    bicycle0.2660.1650.130.0559
    car0.7390.7650.7930.568
    van0.5330.4330.4490.318
    truck0.5290.380.3750.248
    tricycle0.4260.3010.2770.152
    awning-tricycle0.3120.1910.1630.104
    bus0.6320.510.5570.4
    motor0.4930.4560.440.194
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