Image Classification on CIFAR-10 Gaussian1 Noise (test)
60.78AccuracyPG-DRO
Evaluation Results
| Method | Links | |
|---|---|---|
| PG-DROk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 60.78 | |
| SAAk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 60.15 | |
| Few-shotk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 59.38 | |
| W-DROk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 59.12 | |
| PG-DROk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 53.62 | |
| W-DROk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 50.7 | |
| SAAk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 48.94 | |
| Few-shotk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 26.11 | |
| PG-DROk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 20.53 | |
| W-DROk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 19.11 | |
| SAAk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 16.37 | |
| Few-shotk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 10.07 |