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Image Classification on Tiny-ImageNet 1.0 (test)

67.64Accuracy (Natural)S2HPruner
-2.123215.988434.152.2116Mar 2, 2023Jun 7, 2023Sep 13, 2023Dec 20, 2023Mar 27, 2024Jul 3, 2024Oct 9, 2024

Evaluation results

MethodLinks
S2HPrunerBackbone=ResNet-50, FLOPs=55%2024.1067.64—————————
S2HPrunerBackbone=ResNet-50, FLOPs=35%2024.1067.38—————————
S2HPrunerBackbone=ResNet-50, FLOPs=15%2024.1067.02—————————
S2HPrunerBackbone=MBV3, FLOPs=55%2024.1065.54—————————
OTOv2Backbone=ResNet-50, FLOPs=55%2024.1065.16—————————
S2HPrunerBackbone=MBV3, FLOPs=35%2024.1065.11—————————
RefillBackbone=ResNet-50, FLOPs=55%2024.1065.02—————————
RST-SBackbone=ResNet-50, FLOPs=55%2024.1064.78—————————
RefillBackbone=ResNet-50, FLOPs=35%2024.1064.14—————————
OTOv2Backbone=ResNet-50, FLOPs=35%2024.1063.45—————————
S2HPrunerBackbone=WRN28-10, FLOPs=55%2024.1063.44—————————
RST-SBackbone=ResNet-50, FLOPs=35%2024.1063.24—————————
RST-SBackbone=ResNet-50, FLOPs=15%2024.1063.03—————————
RST-SBackbone=MBV3, FLOPs=55%2024.1062.76—————————
RefillBackbone=MBV3, FLOPs=55%2024.1062.49—————————
S2HPrunerBackbone=MBV3, FLOPs=15%2024.1062.49—————————
S2HPrunerBackbone=WRN28-10, FLOPs=35%2024.1062.46—————————
RefillBackbone=WRN28-10, FLOPs=55%2024.1062.22—————————
RST-SBackbone=WRN28-10, FLOPs=55%2024.1062.12—————————
AWPBackbone=WideResNet-34-102023.0361.935.532.83131.631.129.6———
RefillBackbone=MBV3, FLOPs=35%2024.1061.84—————————
RefillBackbone=WRN28-10, FLOPs=35%2024.1061.83—————————
S2HPrunerBackbone=WRN28-10, FLOPs=15%2024.1061.83—————————
HELPBackbone=WideResNet-34-102023.0361.835.93331.331.831.329.8———
OTOv2Backbone=WRN28-10, FLOPs=55%2024.1061.7—————————
RST-SBackbone=WRN28-10, FLOPs=35%2024.1061.41—————————
AWP + CAFEBackbone=WideResNet-34-102023.0361.436.634.232.333.232.530.8———
RST-SBackbone=MBV3, FLOPs=35%2024.1061.26—————————
OTOv2Backbone=WRN28-10, FLOPs=35%2024.1061.23—————————
HELP + CAFEBackbone=WideResNet-34-102023.0361.13734.732.633.832.831.2———
RefillBackbone=ResNet-50, FLOPs=15%2024.1061.05—————————
ADVBackbone=WideResNet-34-102023.0360.929.825.525.824.22623.9———
TRADESBackbone=WideResNet-34-102023.0360.830.526.426.72526.824.6———
MARTBackbone=WideResNet-34-102023.0360.729.925.625.92425.523.6———
ADV + CAFEBackbone=WideResNet-34-102023.0360.631.127.327.225.827.425.4———
MART + CAFEBackbone=WideResNet-34-102023.0360.431.227.526.825.52725.1———
OTOv2Backbone=ResNet-50, FLOPs=15%2024.1060.38—————————
TRADES + CAFEBackbone=WideResNet-34-102023.0360.331.728.228.32728.526.5———
OTOv2Backbone=MBV3, FLOPs=55%2024.1060.16—————————
OTOv2Backbone=MBV3, FLOPs=35%2024.1059.25—————————
RST-SBackbone=WRN28-10, FLOPs=15%2024.1058.03—————————
Group-SLBackbone=WRN28-10, FLOPs=55%2024.1057.64—————————
OTOv2Backbone=MBV3, FLOPs=15%2024.1057.61—————————
ADVBackbone=ResNet-182023.0357.227.324.223.222.823.221.8———
OTOv2Backbone=WRN28-10, FLOPs=15%2024.1057.19—————————
MARTBackbone=ResNet-182023.0357.127.424.223.222.923.222.2———
RefillBackbone=WRN28-10, FLOPs=15%2024.1056.64—————————
AWP + CAFEBackbone=ResNet-182023.0356.631.429.227.128.42726.5———
TRADESBackbone=ResNet-182023.0356.528.425.324.424.224.323.2———
ADV + CAFEBackbone=ResNet-182023.0356.328.625.724.724.424.623.5———
AWPBackbone=ResNet-182023.0356.230.528.526.227.626.225.5———
HELPBackbone=ResNet-182023.0356.13128.626.327.726.325.7———
MART + CAFEBackbone=ResNet-182023.0355.928.625.924.624.724.523.5———
Group-SLBackbone=ResNet-50, FLOPs=55%2024.1055.49—————————
HELP + CAFEBackbone=ResNet-182023.0355.43229.727.429.227.827.3———
RST-SBackbone=MBV3, FLOPs=15%2024.1055.13—————————
TRADES + CAFEBackbone=ResNet-182023.0354.529.627.426.326.526.225.4———
RefillBackbone=MBV3, FLOPs=15%2024.1053.87—————————
Group-SLBackbone=MBV3, FLOPs=55%2024.1053.43—————————
ADVBackbone=VGG-162023.0353.225.321.52120.220.819.6———
MARTBackbone=VGG-162023.0353.12521.521.220.42119.9———
MART + CAFEBackbone=VGG-162023.035325.622.321.621.321.520.5———
HELPBackbone=VGG-162023.035328.325.923.925.123.823.1———
AWP + CAFEBackbone=VGG-162023.0352.928.826.424.225.624.123.4———
TRADESBackbone=VGG-162023.0352.825.922.521.921.521.820.7———
ADV + CAFEBackbone=VGG-162023.0352.62622.822.121.82221———
AWPBackbone=VGG-162023.0352.62825.723.624.823.522.8———
HELP + CAFEBackbone=VGG-162023.0352.629.427.124.726.424.423.9———
TRADES + CAFEBackbone=VGG-162023.0352.126.523.622.622.522.621.6———
Group-SLBackbone=WRN28-10, FLOPs=35%2024.1025.74—————————
Group-SLBackbone=ResNet-50, FLOPs=35%2024.1019.94—————————
Group-SLBackbone=MBV3, FLOPs=35%2024.102.35—————————
Group-SLBackbone=ResNet-50, FLOPs=15%2024.100.95—————————
Group-SLBackbone=WRN28-10, FLOPs=15%2024.100.85—————————
Group-SLBackbone=MBV3, FLOPs=15%2024.100.56—————————
CentralModel Architecture=ConvNet2024.12———————49.7349.7349.73
CentralModel Architecture=ResNet-182024.12———————61.9861.9861.98
Co-BoostingModel Architecture=ConvNet2024.12———————6.669.8110.75
Co-BoostingModel Architecture=ResNet-182024.12———————10.2914.3516.39
DENSEModel Architecture=ConvNet2024.12———————11.4514.6915.15
DENSEModel Architecture=ResNet-182024.12———————8.8813.0517.24
F-DAFLModel Architecture=ConvNet2024.12———————5.258.8910.28
F-DAFLModel Architecture=ResNet-182024.12———————7.9112.313.31
FedSD2CModel Architecture=ConvNet2024.12———————20.7323.5324.1
FedSD2CModel Architecture=ResNet-182024.12———————26.8329.9231.66