Binary Classification on UrbanCars (OOD)
52.9AccuracyConBias
Evaluation Results
| Method | Links | |
|---|---|---|
| ConBiasBase method=Baseline2024.09 | 52.9 | |
| CONBIASBackbone=ResNet-50, Pre-trained=ImageNet, Augmentation=CONBIAS2024.09 | 52.9 | |
| Baseline + RandAugAugmentation=RandAug2024.09 | 46.1 | |
| RandAugBackbone=ResNet-50, Pre-trained=ImageNet, Augmentation=RandAug2024.09 | 46.1 | |
| Baseline + ALIAAugmentation=ALIA2024.09 | 42.5 | |
| ALIABackbone=ResNet-50, Pre-trained=ImageNet, Augmentation=ALIA2024.09 | 42.5 | |
| Baseline2024.09 | 40.5 | |
| BaselineBackbone=ResNet-50, Pre-trained=ImageNet2024.09 | 40.5 | |
| Baseline + CutMixAugmentation=CutMix2024.09 | 39.3 | |
| CutMixBackbone=ResNet-50, Pre-trained=ImageNet, Augmentation=CutMix2024.09 | 39.3 |