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Fairness measurement estimation on GenData-StyleGAN2 1.0 (BlackHair)

0.16Epsilon PCLEAM
-0.31282.87866.079.2614Oct 30, 2023

Evaluation results

MethodLinks
CLEAMSA Classifier=ResNet-34, Classifier Confidence (alpha)={0.834, 0.916}, Average Classifier Accuracy (Avg. a)=0.882023.100.1664.4———
CLEAMSA Classifier=ResNet-18, Classifier Confidence (alpha)={0.869, 0.885}, Average Classifier Accuracy (Avg. a)=0.882023.100.3164.1———
CLEAMSA Classifier=Average Error2023.100.39————
CLEAMSA Classifier=VGG-16, Classifier Confidence (alpha)={0.851, 0.836}, Average Classifier Accuracy (Avg. a)=0.842023.100.4764———
CLEAMSA Classifier=MobileNetv2, Classifier Confidence (alpha)={0.839, 0.881}, Average Classifier Accuracy (Avg. a)=0.862023.100.6263.9———
CLEAMBackbone=ResNet-18, Pre-trained dataset=CelebA-HQ2023.101.464.10.31——
BBSEBackbone=ResNet-18, Pre-trained dataset=CelebA-HQ2023.103.27632.02——
BaselineSA Classifier=VGG-16, Classifier Confidence (alpha)={0.851, 0.836}, Average Classifier Accuracy (Avg. a)=0.842023.106.2260.3———
BaselineSA Classifier=ResNet-18, Classifier Confidence (alpha)={0.869, 0.885}, Average Classifier Accuracy (Avg. a)=0.882023.106.8459.9———
BaselineBackbone=ResNet-18, Pre-trained dataset=CelebA-HQ2023.108.0859.96.48——
BaselineSA Classifier=Average Error2023.108.75————
DiversitySA Classifier=VGG-16, Classifier Confidence (alpha)={0.851, 0.836}, Average Classifier Accuracy (Avg. a)=0.842023.109.4958.2———
DiversitySA Classifier=Average Error2023.109.49————
BaselineSA Classifier=MobileNetv2, Classifier Confidence (alpha)={0.839, 0.881}, Average Classifier Accuracy (Avg. a)=0.862023.109.9557.9———
BaselineSA Classifier=ResNet-34, Classifier Confidence (alpha)={0.834, 0.916}, Average Classifier Accuracy (Avg. a)=0.882023.1011.9856.6———