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实验数据

实验数据

作者: 听闻不见 | 来源:发表于2020-11-19 18:52 被阅读0次

    deepfusepspnet50

    mIoU mAcc allAcc
    0.549 0.6894 0.9075

    deepfusepspnet50 (1) (2020-11-19 15:04:27,764)

    mIoU mAcc allAcc
    0.5424 0.6758 0.9076
    Class Iou Accuracy
    terrain 0.5509 0.8800
    sky 0.9029 0.9386
    tree 0.8632 0.9620
    vegetation 0.8234 0.8365
    building 0.6842 0.7031
    road 0.9654 0.9733
    trafficSign 0.3594 0.4580
    trafficLight 0.2485 0.2497
    pole 0.2753 0.8496
    truck 0.0065 0.0065
    car 0.7746 0.9690
    van 0.0549 0.2835

    deepfusepspnet50 (2) (2020-11-19 03:19:56,588)

    mIoU mAcc allAcc
    0.5571 0.6988 0.9124
    Class Iou Accuracy
    terrain 0.5811 0.8751
    sky 0.9027 0.9400
    tree 0.8633 0.9568
    vegetation 0.8515 0.8691
    building 0.6909 0.7112
    road 0.9642 0.9731
    trafficSign 0.3454 0.5730
    trafficLight 0.2117 0.2127
    pole 0.2542 0.8674
    truck 0.1540 0.1545
    car 0.8068 0.9740
    van 0.0600 0.2780

    deepfusepspnet50 (3) (2020-11-19 03:13:40,537)

    mIoU mAcc allAcc
    0.5475 0.6936 0.9024
    Class Iou Accuracy
    terrain 0.5132 0.8675
    sky 0.9029 0.9422
    tree 0.8613 0.9575
    vegetation 0.8220 0.8497
    building 0.6705 0.6880
    road 0.9516 0.9563
    trafficSign 0.4936 0.6751
    trafficLight 0.2298 0.2312
    pole 0.2547 0.8607
    truck 0.0115 0.0116
    car 0.7994 0.9721
    van 0.0591 0.3107

    pspnet50

    mIoU mAcc allAcc
    0.5053 0.6467 0.8938

    pspnet50 (1) (test-20201111_034932.log)

    mIoU mAcc allAcc
    0.5064 0.6426 0.8932
    Class Iou Accuracy
    terrain 0.4543 0.8556
    sky 0.8955 0.9350
    tree 0.8573 0.9647
    vegetation 0.7171 0.7312
    building 0.6476 0.6593
    road 0.9641 0.9728
    trafficSign 0.2704 0.3258
    trafficLight 0.1938 0.1954
    pole 0.2697 0.7975
    truck 0.0265 0.0268
    car 0.7208 0.9653
    van 0.0594 0.2824

    pspnet50 (2) (test-20201111_170731.log)

    mIoU mAcc allAcc
    0.5003 0.6483 0.8926
    Class Iou Accuracy
    terrain 0.4462 0.8493
    sky 0.8951 0.9355
    tree 0.8597 0.9625
    vegetation 0.7097 0.7280
    building 0.6551 0.6711
    road 0.9654 0.9728
    trafficSign 0.2241 0.3043
    trafficLight 0.1878 0.1895
    pole 0.2709 0.8322
    truck 0.0040 0.0040
    car 0.7061 0.9664
    van 0.0790 0.3636

    pspnet50 (3) (test-20201111_170826.log)

    mIoU mAcc allAcc
    0.5092 0.6490 0.8955
    Class Iou Accuracy
    terrain 0.4713 0.8117
    sky 0.8937 0.9296
    tree 0.8563 0.9677
    vegetation 0.7323 0.7597
    building 0.6307 0.6419
    road 0.9624 0.9790
    trafficSign 0.2215 0.3294
    trafficLight 0.1797 0.1804
    pole 0.2767 0.8066
    truck 0.0205 0.0205
    car 0.7864 0.9615
    van 0.0786 0.3993

    fusepspnet50

    mIoU mAcc allAcc
    0.5732 0.7137 0.9091

    fusepspnet50 (1) (test-20201110_145054.log)

    mIoU mAcc allAcc
    0.5661 0.7120 0.9073
    Class Iou Accuracy
    terrain 0.5286 0.9112
    sky 0.9029 0.9419
    tree 0.8625 0.9573
    vegetation 0.8327 0.8451
    building 0.6833 0.6994
    road 0.9510 0.9564
    trafficSign 0.4391 0.6140
    trafficLight 0.2239 0.2250
    pole 0.2577 0.8593
    truck 0.2135 0.2142
    car 0.8177 0.9719
    van 0.0798 0.3486

    fusepspnet50 (2) (test-20201111_034821.log)

    mIoU mAcc allAcc
    0.5784 0.7183 0.9110
    Class Iou Accuracy
    terrain 0.5436 0.9105
    sky 0.9027 0.9398
    tree 0.8630 0.9598
    vegetation 0.8601 0.8705
    building 0.6830 0.6975
    road 0.9497 0.9547
    trafficSign 0.4270 0.5390
    trafficLight 0.2397 0.2411
    pole 0.2575 0.8534
    truck 0.2918 0.2940
    car 0.8265 0.9701
    van 0.0963 0.3891

    fusepspnet50 (3) (test-20201110_143027.log)

    mIoU mAcc allAcc
    0.5752 0.7108 0.9093
    Class Iou Accuracy
    terrain 0.5400 0.9043
    sky 0.9027 0.9424
    tree 0.8619 0.9576
    vegetation 0.8469 0.8613
    building 0.6717 0.6856
    road 0.9509 0.9564
    trafficSign 0.4849 0.6295
    trafficLight 0.2278 0.2290
    pole 0.2511 0.8500
    truck 0.2912 0.2933
    car 0.8124 0.9731
    van 0.0609 0.2471

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