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ResearchFormerly WizWand

Attribute Prediction on CELEBA (test)

0.002BiasRTO
-0.015120.100440.2160.33156Jun 6, 2021
Updated 8mo ago

Evaluation results

MethodLinks
RTOArchitecture=MobileNet, Pre-training=ImageNet (MN/I)2021.060.002
Hardt, 2016Architecture=MobileNet, Pre-training=ImageNet (MN/I)2021.060.002
RTOArchitecture=ResNet50, Pre-training=Scratch (R50/S)2021.060.01
Hardt, 2016Architecture=ResNet50, Pre-training=Scratch (R50/S)2021.060.01
Hardt, 2016Architecture=ResNet50, Pre-training=ImageNet (R50/I)2021.060.01
RTOArchitecture=MobileNet, Pre-training=Scratch (MN/S)2021.060.01
Hardt, 2016Architecture=MobileNet, Pre-training=Scratch (MN/S)2021.060.01
ROCArchitecture=MobileNet, Pre-training=Scratch (MN/S)2021.060.01
RTOArchitecture=ResNet50, Pre-training=ImageNet (R50/I)2021.060.02
ROCArchitecture=ResNet50, Pre-training=Scratch (R50/S)2021.060.08
ROCArchitecture=MobileNet, Pre-training=ImageNet (MN/I)2021.060.1
ROCArchitecture=ResNet50, Pre-training=ImageNet (R50/I)2021.060.15
Shift InferenceArchitecture=MobileNet, Pre-training=Scratch (MN/S)2021.060.24
Shift InferenceArchitecture=MobileNet, Pre-training=ImageNet (MN/I)2021.060.34
Shift InferenceArchitecture=ResNet50, Pre-training=ImageNet (R50/I)2021.060.35
OriginalArchitecture=MobileNet, Pre-training=Scratch (MN/S)2021.060.35
Shift InferenceArchitecture=ResNet50, Pre-training=Scratch (R50/S)2021.060.38
OriginalArchitecture=MobileNet, Pre-training=ImageNet (MN/I)2021.060.38
OriginalArchitecture=ResNet50, Pre-training=ImageNet (R50/I)2021.060.4
OriginalArchitecture=ResNet50, Pre-training=Scratch (R50/S)2021.060.43