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Below are the detailed benchmarks between new and selected existing models. As we can see, the DeepLabV3 with a MobileNetV3-Large backbone is a viable replacement of FCN with ResNet50 for the majority of applications as it achieves similar accuracy with a 8.5x speed-up. We also observe that the LR-ASPP network supersedes the equivalent FCN in all metrics:



Model
mIoU
Global Pixel Acc
Inference on CPU (sec)
# Params (M)




LR-ASPP MobileNetV3-Large
57.9
91.2
0.3278
3.22


DeepLabV3 MobileNetV3-Large
60.3
91.2
0.5869
11.03


FCN MobileNetV3-Large (not released)
57.8
90.9
0.3702
5.05


DeepLabV3 ResNet50
66.4
92.4
6.3531
39.64


