List your company

Facial Attribute Classification (Attractive) on CelebA (test)

82.43AccuracyNormal training
61.619667.022372.42577.8277Mar 3, 2022Oct 18, 2022Jun 5, 2023Jan 21, 2024Sep 6, 2024Apr 24, 2025Dec 10, 2025

Evaluation results

MethodLinks
Normal trainingFAAP=No, Training Strategy=Normal2022.0382.430.50230.5683———
Unfair training (RG)FAAP=No, Training Strategy=Unfair (RG)2022.0382.240.55470.7217———
Unfair training (LF)FAAP=No, Training Strategy=Unfair (LF)2022.0381.060.55660.7752———
Normal training + FAAPFAAP=Yes, Training Strategy=Normal2022.0379.730.27040.0621———
Fair trainingFAAP=No, Training Strategy=Fair2022.0379.560.27450.0724———
Unfair training (RG) + FAAPFAAP=Yes, Training Strategy=Unfair (RG)2022.0379.370.2550.0539———
Fair training + FAAPFAAP=Yes, Training Strategy=Fair2022.0379.310.22440.0434———
Unfair training (LF) + FAAPFAAP=Yes, Training Strategy=Unfair (LF)2022.0379.080.2890.1179———
RNBackbone=ResNet, Sensitive Attribute=Gender, Number of runs=102025.1278.14——86.5851.6635.67
RNBackbone=ResNet, Sensitive Attribute=Young, Number of runs=102025.1278.14——86.6741.7418.35
DPBackbone=ResNet, Sensitive Attribute=Young, Number of runs=102025.1266.78——73.952.430.91
HSICBackbone=ResNet, Sensitive Attribute=Young, Number of runs=102025.1266.04——73.081.991.04
MMDBackbone=ResNet, Sensitive Attribute=Young, Number of runs=102025.1265.82——72.843.491.6
PRBackbone=ResNet, Sensitive Attribute=Gender, Number of runs=102025.1265.51——71.745.05
CSBackbone=ResNet, Sensitive Attribute=Young, Number of runs=102025.1265.33——73.151.280.3
CSBackbone=ResNet, Sensitive Attribute=Gender, Number of runs=102025.1265.05——71.420.981.53
HSICBackbone=ResNet, Sensitive Attribute=Gender, Number of runs=102025.1263.39——69.332.243.83
PRBackbone=ResNet, Sensitive Attribute=Young, Number of runs=102025.1262.98——69.631.321.82
MMDBackbone=ResNet, Sensitive Attribute=Gender, Number of runs=102025.1262.54——66.471.395.89
DPBackbone=ResNet, Sensitive Attribute=Gender, Number of runs=102025.1262.42——66.860.464.84