Bias Estimation on GenData StyleSwin 1.0 (test)
0.677Point Estimate (p-hat)CLEAM
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| CLEAMClassifier Backbone=VGG-16, Alpha={0.851, 0.836}, Average Alpha=0.842023.10 | 0.677 | 1.35 | — | 2.4 | |
| CLEAMClassifier Backbone=VGG-16, Alpha={0.801, 0.919}, Average Alpha=0.862023.10 | 0.668 | 1.83 | — | 2.9 | |
| CLEAMClassifier Backbone=ResNet-34, Alpha={0.834, 0.916}, Average Alpha=0.882023.10 | 0.662 | 0.9 | — | 1.8 | |
| CLEAMClassifier Backbone=ResNet-18, Alpha={0.869, 0.885}, Average Alpha=0.882023.10 | 0.659 | 1.35 | — | 2.84 | |
| CLEAMClassifier Backbone=MobileNetv2, Alpha={0.839, 0.881}, Average Alpha=0.862023.10 | 0.659 | 1.35 | — | 2.4 | |
| CLEAMClassifier Backbone=MobileNetv2, Alpha={0.938, 0.975}, Average Alpha=0.962023.10 | 0.655 | 0.15 | — | 1.07 | |
| CLEAMClassifier Backbone=ResNet-34, Alpha={0.932, 0.976}, Average Alpha=0.952023.10 | 0.649 | 1.07 | — | 1.98 | |
| CLEAMClassifier Backbone=ResNet-18, Alpha={0.947, 0.983}, Average Alpha=0.972023.10 | 0.648 | 1.22 | — | 2.59 | |
| BaselineClassifier Backbone=VGG-16, Alpha={0.851, 0.836}, Average Alpha=0.842023.10 | 0.625 | 6.44 | — | 7.19 | |
| BaselineClassifier Backbone=MobileNetv2, Alpha={0.938, 0.975}, Average Alpha=0.962023.10 | 0.623 | 5.03 | — | 5.79 | |
| BaselineClassifier Backbone=ResNet-18, Alpha={0.947, 0.983}, Average Alpha=0.972023.10 | 0.62 | 5.49 | — | 6.7 | |
| BaselineClassifier Backbone=ResNet-18, Alpha={0.869, 0.885}, Average Alpha=0.882023.10 | 0.612 | 8.38 | — | 9.43 | |
| BaselineClassifier Backbone=ResNet-34, Alpha={0.932, 0.976}, Average Alpha=0.952023.10 | 0.61 | 7.01 | — | 7.77 | |
| DiversityClassifier Backbone=VGG-16, Alpha={0.851, 0.836}, Average Alpha=0.842023.10 | 0.608 | 8.98 | — | 11.68 | |
| BaselineClassifier Backbone=MobileNetv2, Alpha={0.839, 0.881}, Average Alpha=0.862023.10 | 0.596 | 10.78 | — | 11.5 | |
| BaselineClassifier Backbone=ResNet-34, Alpha={0.834, 0.916}, Average Alpha=0.882023.10 | 0.581 | 13.02 | — | 13.77 | |
| DiversityClassifier Backbone=VGG-16, Alpha={0.801, 0.919}, Average Alpha=0.862023.10 | 0.562 | 14.33 | — | 16.46 | |
| BaselineClassifier Backbone=VGG-16, Alpha={0.801, 0.919}, Average Alpha=0.862023.10 | 0.555 | 15.39 | — | 16.31 |