Image Classification on CIFAR-10 Gaussian5 Noise (test)
50.47AccuracyPG-DRO
Evaluation Results
| Method | Links | |
|---|---|---|
| PG-DROk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 50.47 | |
| SAAk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 50.17 | |
| W-DROk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 49.73 | |
| PG-DROk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 41.86 | |
| SAAk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 39.48 | |
| W-DROk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 39.45 | |
| Few-shotk=10, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 33.25 | |
| Few-shotk=5, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 25.48 | |
| PG-DROk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 18.8 | |
| W-DROk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 17.45 | |
| SAAk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 17.11 | |
| Few-shotk=1, Backbone=ResNet-18, Pre-trained=CIFAR-1002026.02 | 9.69 |