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Attribute Classification on CelebA (test)

69.58Average Worst-Group AccuracyProposed + G + P
10.14425.574541.00556.4355Oct 4, 2024

Evaluation results

MethodLinks
Proposed + G + PContext size=5122024.1069.58————
Proposed + PContext size=5122024.1068.45————
Proposed + G + PContext size=2562024.1064.39————
Proposed + G + PContext size=5122024.1061.74————
GroupDROContext size=5122024.1061.47————
Proposed + PContext size=2562024.1060.48————
Proposed + G + PContext size=1282024.1059.37————
Proposed + PContext size=5122024.1055.53————
Proposed + PContext size=1282024.1054.66————
Proposed + G + PContext size=642024.1053.41————
ERMContext size=5122024.1049.92————
Proposed + PContext size=642024.1047.29————
Proposed + G + PContext size=322024.1046.13————
Proposed + G + PContext size=162024.1039.21————
1-NNContext size=5122024.1037.81————
Proposed + PContext size=322024.1037.3————
1-NNContext size=42024.1035.87————
Proposed + PContext size=42024.1035.13————
Proposed + G + PContext size=82024.1032.06————
Proposed + G + PContext size=42024.1031.44————
ProposedContext size=5122024.1027.53————
Proposed + PContext size=162024.1027————
Proposed + PContext size=42024.1026.9————
ProposedContext size=2562024.1026.89————
ProposedContext size=162024.1026.85————
Proposed + G + PContext size=42024.1026.71————
ProposedContext size=1282024.1026.65————
Proposed + GContext size=5122024.1026.55————
Proposed + PContext size=82024.1026.54————
NaiveContext size=5122024.1026.2————
Naive + PContext size=5122024.1026.03————
NaiveContext size=2562024.1025.84————
ProposedContext size=42024.1025.83————
NaiveContext size=162024.1025.8————
ProposedContext size=322024.1025.8————
Proposed + GContext size=1282024.1025.77————
Proposed + GContext size=2562024.1025.7————
NaiveContext size=1282024.1025.62————
Proposed + GContext size=162024.1025.6————
ProposedContext size=82024.1025.42————
ProposedContext size=642024.1025.18————
NaiveContext size=322024.1025.14————
Proposed + GContext size=322024.1024.95————
NaiveContext size=42024.1024.88————
Proposed + GContext size=82024.1024.67————
NaiveContext size=82024.1024.56————
NaiveContext size=42024.1024.43————
Proposed + GContext size=642024.1024.42————
Proposed + GContext size=42024.1023.87————
NaiveContext size=642024.1023.85————
Naive + PContext size=5122024.1021.67————
Naive + PContext size=42024.1020.72————
NaiveContext size=5122024.1020.22————
Naive + PContext size=2562024.1020.16————
ProposedContext size=5122024.1019.54————
Naive + PContext size=82024.1017.27————
Naive + PContext size=1282024.1016.17————
Naive + PContext size=322024.1014.85————
Naive + PContext size=642024.1013.56————
Naive + PContext size=162024.1012.43————
BaseTarget Attribute=Blond Hair, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—80.4241.02——
BaseTarget Attribute=Heavy Makeup, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—71.1917.35——
BaseTarget Attribute=Average, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—72.6739.91——
BPATarget Attribute=Blond Hair, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—90.1882.54——
BPATarget Attribute=Heavy Makeup, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—73.7839.84——
BPATarget Attribute=Pale Skin, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—90.0688.6——
BPATarget Attribute=Wearing Lipstick, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—78.2846.52——
BPATarget Attribute=Young, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—82.2774.33——
BPATarget Attribute=Double Chin, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—82.9267.78——
BPATarget Attribute=Chubby, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—83.8872.32——
BPATarget Attribute=Wearing Hat, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—96.894.94——
BPATarget Attribute=Oval Face, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—67.1855.78——
BPATarget Attribute=Pointy Nose, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—68.952.48——
BPATarget Attribute=Straight Hair, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—79.1872.09——
BPATarget Attribute=Blurry, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—88.9384.1——
BPATarget Attribute=Narrow Eyes, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—76.3973.24——
BPATarget Attribute=Arched Eyebrows, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—74.7754.36——
BPATarget Attribute=Bags Under Eyes, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—77.8462.55——
BPATarget Attribute=Bangs, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—93.9492.21——
BPATarget Attribute=Big Lips, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—66.556.99——
BPATarget Attribute=No Beard, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—79.5840——
BPATarget Attribute=Receding Hairline, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—84.9579.11——
BPATarget Attribute=Wavy Hair, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—79.8965.74——
BPATarget Attribute=Wearing Earrings, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—84.5772.81——
BPATarget Attribute=Wearing Necklace, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—68.9641.93——
BPATarget Attribute=Average, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—81.7469.84——
CIMModel=ResNet-50, # Trained Params=25557032, % Params=1002022.07——83.6-6.2—
CNCModel=ResNet-50, # Trained Params=25557032, % Params=1002022.07——88.8-1—
Contrastive Adapter (CLIP RN-50)Model=Adapter + CLIP RN-50, # Trained Params=263424, % Params=1.032022.07——900.2—
Contrastive Adapter (CLIP ViT-L/14)Model=Adapter + CLIP ViT-L/14, # Trained Params=197632, % Params=0.772022.07——84.6-5.2—
EIILModel=ResNet-50, # Trained Params=25557032, % Params=1002022.07——83.3-6.5—
ERMms=0.44, mt=0.492022.11——80.83—95.93
gDROms=0.44, mt=0.492022.11——87.36—94.68
Group DROTarget Attribute=Blond Hair, Bias Attribute=Gender, Learning Paradigm=Supervised, Backbone=ResNet-182021.08—91.3987.86——
Group DROTarget Attribute=Heavy Makeup, Bias Attribute=Gender, Learning Paradigm=Supervised, Backbone=ResNet-182021.08—72.721.36——
Group DROTarget Attribute=Average, Bias Attribute=Gender, Learning Paradigm=Supervised, Backbone=ResNet-182021.08—80.8769.68——
JTTModel=ResNet-50, # Trained Params=25557032, % Params=1002022.07——81.1-8.7—
LA/TTLSAms=0.44, mt=0.492022.11——84.72—95.55
LfFTarget Attribute=Blond Hair, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—59.4634.23——
LfFTarget Attribute=Heavy Makeup, Bias Attribute=Gender, Learning Paradigm=Unsupervised, Backbone=ResNet-182021.08—56.3430.81——