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Image Classification on CIFAR10 (Accuracy and Average Accuracy)

91.18Accuracy (CIFAR-10)T = √M
67.145673.385379.62585.8647Apr 22, 2025

Evaluation results

MethodLinks
T = √MBackbone=RegNet 8 GF2025.0491.18—
T = √MBackbone=Eff. Net b52025.0491.01—
Ours (T*)Backbone=Eff. Net b52025.0490.79—
Ours (T*)Backbone=RegNet 8 GF2025.0490.74—
Ours (T*csg)Backbone=Eff. Net b52025.0490.61—
Ours (T*csg)Backbone=RegNet 8 GF2025.0490.47—
Ours (T*csgcn)Backbone=RegNet 8 GF2025.0490.3—
Ours (T*cn)Backbone=RegNet 8 GF2025.0490.23—
Ours (T*cn)Backbone=Eff. Net b52025.0490.15—
Ours (T*csgcn)Backbone=Eff. Net b52025.0489.75—
Insert LNBackbone=RegNet 8 GF2025.0488.97—
T = 1Backbone=Eff. Net b52025.0488.83—
T = 1Backbone=RegNet 8 GF2025.0488.72—
T = √MBackbone=ResNet502025.0488.7—
Ours (T*csg)Backbone=ResNet502025.0488.62—
Ours (T*)Backbone=ResNet502025.0488.57—
Ours (T*csgcn)Backbone=ResNet502025.0488.46—
Ours (T*cn)Backbone=ResNet502025.0488.45—
Ours (T*csgcn)Backbone=Eff. Net b02025.0487.72—
Ours (T*)Backbone=Eff. Net b02025.0487.61—
Ours (T*cn)Backbone=Eff. Net b02025.0487.6—
T = √MBackbone=Eff. Net b02025.0487.51—
Insert LNBackbone=Eff. Net b02025.0487.45—
Ours (T*csg)Backbone=Eff. Net b02025.0487.41—
T = 1Backbone=Eff. Net b02025.0487.1—
Insert LNBackbone=ResNet502025.0485.66—
T = 1Backbone=ResNet502025.0484.8—
Insert LNBackbone=Eff. Net b52025.0481.27—
Ours (T*)Backbone=ConvNeXt-S2025.0477.94—
Ours (T*csg)Backbone=ConvNeXt-S2025.0476.68—
Ours (T*cn)Backbone=ConvNeXt-S2025.0471.87—
Ours (T*csgcn)Backbone=ConvNeXt-S2025.0471.07—
Insert LNBackbone=ConvNeXt-S2025.0470.03—
T = 1Backbone=ConvNeXt-S2025.0470.02—
T = √MBackbone=ConvNeXt-S2025.0468.07—
Insert LNBackbone=Avg.2025.04—82.68
Ours (T*)Backbone=Avg.2025.04—87.13
Ours (T*cn)Backbone=Avg.2025.04—85.66
Ours (T*csg)Backbone=Avg.2025.04—86.76
Ours (T*csgcn)Backbone=Avg.2025.04—85.46
T = √MBackbone=Avg.2025.04—85.29
T = 1Backbone=Avg.2025.04—83.89