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ResearchFormerly WizWand

Bias Estimation on GenData StyleSwin 1.0 (test)

0.677Point Estimate (p-hat)CLEAM
0.550120.583060.6160.64894Oct 30, 2023
Updated 8mo ago

Evaluation results

MethodLinks
CLEAMClassifier Backbone=VGG-16, Alpha={0.851, 0.836}, Average Alpha=0.842023.100.6771.35—2.4
CLEAMClassifier Backbone=VGG-16, Alpha={0.801, 0.919}, Average Alpha=0.862023.100.6681.83—2.9
CLEAMClassifier Backbone=ResNet-34, Alpha={0.834, 0.916}, Average Alpha=0.882023.100.6620.9—1.8
CLEAMClassifier Backbone=ResNet-18, Alpha={0.869, 0.885}, Average Alpha=0.882023.100.6591.35—2.84
CLEAMClassifier Backbone=MobileNetv2, Alpha={0.839, 0.881}, Average Alpha=0.862023.100.6591.35—2.4
CLEAMClassifier Backbone=MobileNetv2, Alpha={0.938, 0.975}, Average Alpha=0.962023.100.6550.15—1.07
CLEAMClassifier Backbone=ResNet-34, Alpha={0.932, 0.976}, Average Alpha=0.952023.100.6491.07—1.98
CLEAMClassifier Backbone=ResNet-18, Alpha={0.947, 0.983}, Average Alpha=0.972023.100.6481.22—2.59
BaselineClassifier Backbone=VGG-16, Alpha={0.851, 0.836}, Average Alpha=0.842023.100.6256.44—7.19
BaselineClassifier Backbone=MobileNetv2, Alpha={0.938, 0.975}, Average Alpha=0.962023.100.6235.03—5.79
BaselineClassifier Backbone=ResNet-18, Alpha={0.947, 0.983}, Average Alpha=0.972023.100.625.49—6.7
BaselineClassifier Backbone=ResNet-18, Alpha={0.869, 0.885}, Average Alpha=0.882023.100.6128.38—9.43
BaselineClassifier Backbone=ResNet-34, Alpha={0.932, 0.976}, Average Alpha=0.952023.100.617.01—7.77
DiversityClassifier Backbone=VGG-16, Alpha={0.851, 0.836}, Average Alpha=0.842023.100.6088.98—11.68
BaselineClassifier Backbone=MobileNetv2, Alpha={0.839, 0.881}, Average Alpha=0.862023.100.59610.78—11.5
BaselineClassifier Backbone=ResNet-34, Alpha={0.834, 0.916}, Average Alpha=0.882023.100.58113.02—13.77
DiversityClassifier Backbone=VGG-16, Alpha={0.801, 0.919}, Average Alpha=0.862023.100.56214.33—16.46
BaselineClassifier Backbone=VGG-16, Alpha={0.801, 0.919}, Average Alpha=0.862023.100.55515.39—16.31