Image Classification on CIFAR-10 Gaussian2 Noise (test)
60.34AccuracyPG-DRO
Evaluation Results
| Method | Links | |
|---|---|---|
| PG-DROk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 60.34 | |
| W-DROk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 58.93 | |
| SAAk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 58.37 | |
| Few-shotk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 52.87 | |
| PG-DROk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 51 | |
| W-DROk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 49.77 | |
| SAAk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 48.68 | |
| Few-shotk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 41.95 | |
| PG-DROk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 22.74 | |
| SAAk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 17.8 | |
| W-DROk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 17.48 | |
| Few-shotk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 9.95 |