Attribute Prediction on CELEBA (test)
0.002BiasRTO
Evaluation Results
| Method | Links | |
|---|---|---|
| RTOArchitecture=MobileNet, Pre-training=ImageNet (MN/I)2021.06 | 0.002 | |
| Hardt, 2016Architecture=MobileNet, Pre-training=ImageNet (MN/I)2021.06 | 0.002 | |
| RTOArchitecture=ResNet50, Pre-training=Scratch (R50/S)2021.06 | 0.01 | |
| Hardt, 2016Architecture=ResNet50, Pre-training=Scratch (R50/S)2021.06 | 0.01 | |
| Hardt, 2016Architecture=ResNet50, Pre-training=ImageNet (R50/I)2021.06 | 0.01 | |
| RTOArchitecture=MobileNet, Pre-training=Scratch (MN/S)2021.06 | 0.01 | |
| Hardt, 2016Architecture=MobileNet, Pre-training=Scratch (MN/S)2021.06 | 0.01 | |
| ROCArchitecture=MobileNet, Pre-training=Scratch (MN/S)2021.06 | 0.01 | |
| RTOArchitecture=ResNet50, Pre-training=ImageNet (R50/I)2021.06 | 0.02 | |
| ROCArchitecture=ResNet50, Pre-training=Scratch (R50/S)2021.06 | 0.08 | |
| ROCArchitecture=MobileNet, Pre-training=ImageNet (MN/I)2021.06 | 0.1 | |
| ROCArchitecture=ResNet50, Pre-training=ImageNet (R50/I)2021.06 | 0.15 | |
| Shift InferenceArchitecture=MobileNet, Pre-training=Scratch (MN/S)2021.06 | 0.24 | |
| Shift InferenceArchitecture=MobileNet, Pre-training=ImageNet (MN/I)2021.06 | 0.34 | |
| Shift InferenceArchitecture=ResNet50, Pre-training=ImageNet (R50/I)2021.06 | 0.35 | |
| OriginalArchitecture=MobileNet, Pre-training=Scratch (MN/S)2021.06 | 0.35 | |
| Shift InferenceArchitecture=ResNet50, Pre-training=Scratch (R50/S)2021.06 | 0.38 | |
| OriginalArchitecture=MobileNet, Pre-training=ImageNet (MN/I)2021.06 | 0.38 | |
| OriginalArchitecture=ResNet50, Pre-training=ImageNet (R50/I)2021.06 | 0.4 | |
| OriginalArchitecture=ResNet50, Pre-training=Scratch (R50/S)2021.06 | 0.43 |