Open-set classification on CIFAR-100 50 / 50
68.15Balanced AccuracyDAC + GGR
Evaluation Results
| Method | Links | |
|---|---|---|
| DAC + GGRNo. of labeled samples=25, Backbone=ResNet-182026.06 | 68.15 | |
| DACNo. of labeled samples=25, Backbone=ResNet-182026.06 | 68.1 | |
| DAC + GGRNo. of labeled samples=10, Backbone=ResNet-182026.06 | 63.15 | |
| DACNo. of labeled samples=10, Backbone=ResNet-182026.06 | 62.79 | |
| IOMatch + GGRNo. of labeled samples=25, Backbone=ResNet-182026.06 | 60.18 | |
| IOMatchNo. of labeled samples=25, Backbone=ResNet-182026.06 | 59.8 | |
| IOMatch + GGRNo. of labeled samples=10, Backbone=ResNet-182026.06 | 54.87 | |
| DACNo. of labeled samples=5, Backbone=ResNet-182026.06 | 54.65 | |
| IOMatchNo. of labeled samples=10, Backbone=ResNet-182026.06 | 54.02 | |
| DAC + GGRNo. of labeled samples=5, Backbone=ResNet-182026.06 | 53.77 | |
| IOMatch + GGRNo. of labeled samples=5, Backbone=ResNet-182026.06 | 49.93 | |
| IOMatchNo. of labeled samples=5, Backbone=ResNet-182026.06 | 48.74 |