List your company

Semantic Segmentation on ADE20K 2017 (val)

52.87mIoU (s.s.)UperNet + CAC
18.383627.336836.2945.2432Mar 21, 2023

Evaluation results

MethodLinks
UperNet + CACHead=UperNet, Backbone=Swin-Large, fps=10.44, #params.=234.75M, Pre-training (ImageNet-22K)=true2023.0352.8754.43
UperNet + CACHead=UperNet, Backbone=Swin-Base, fps=14.38, #params.=122.20M, Pre-training (ImageNet-22K)=true2023.035253.52
UperNetHead=UperNet, Backbone=Swin-Large, fps=10.54, #params.=233.96M, Pre-training (ImageNet-22K)=true2023.035253.5
UperNetHead=UperNet, Backbone=Swin-Base, fps=14.63, #params.=121.42M, Pre-training (ImageNet-22K)=true2023.0350.0451.66
DeepLab-V3+ + CACHead=DeepLab-V3+, Backbone=ResNet-101, fps=16.03, #params.=63.47M2023.0347.2548.41
UperNet + CACHead=UperNet, Backbone=Swin-Tiny, fps=19.96, #params.=60.73M2023.0346.9149.03
DeepLab-V3+ + CACHead=DeepLab-V3+, Backbone=ResNet-50, fps=23.54, #params.=44.48M2023.0346.2947.56
UperNet + CACHead=UperNet, Backbone=ResNet-101, fps=19.49, #params.=86.30M2023.0346.0647.74
OCRNet + CACHead=OCRNet, Backbone=HRNet-W48, fps=13.33, #params.=71.32M2023.0345.6848.13
DeepLab-V3+Head=DeepLab-V3+, Backbone=ResNet-101, fps=16.39, #params.=62.68M2023.0345.4746.35
UperNet + CACHead=UperNet, Backbone=ResNet-50, fps=23.37, #params.=67.30M2023.0345.2446.3
UperNetHead=UperNet, Backbone=Swin-Tiny, fps=20.38, #params.=59.94M2023.0344.5145.81
OCRNet + CACHead=OCRNet, Backbone=HRNet-W18, fps=14.37, #params.=12.97M2023.0344.4747.16
DeepLab-V3+Head=DeepLab-V3+, Backbone=ResNet-50, fps=24.09, #params.=43.69M2023.0343.9544.93
UperNetHead=UperNet, Backbone=ResNet-101, fps=19.65, #params.=85.51M2023.0343.8244.85
OCRNetHead=OCRNet, Backbone=HRNet-W48, fps=13.78, #params.=70.53M2023.0343.2544.88
UperNetHead=UperNet, Backbone=ResNet-50, fps=24.06, #params.=66.52M2023.0342.0542.78
DeepLab-V3+ + CACHead=DeepLab-V3+, Backbone=MobileNet-V2, fps=36.25, #params.=16.13M2023.0339.3441.28
OCRNetHead=OCRNet, Backbone=HRNet-W18, fps=14.62, #params.=12.18M2023.0339.3240.8
FCN + CACHead=FCN, Backbone=MobileNet-V2, fps=49.46, #params.=10.61M2023.0337.439.09
DeepLab-V3+Head=DeepLab-V3+, Backbone=MobileNet-V2, fps=38.42, #params.=15.35M2023.0334.0234.82
FCNHead=FCN, Backbone=MobileNet-V2, fps=51.1, #params.=9.82M2023.0319.7119.56