Open-set classification on CIFAR-100 (20 / 80)
64.55Balanced AccuracyDAC + GGR
Evaluation Results
| Method | Links | |
|---|---|---|
| DAC + GGRNo. of labeled samples=25, Backbone=ResNet-182026.06 | 64.55 | |
| DACNo. of labeled samples=25, Backbone=ResNet-182026.06 | 64.34 | |
| DAC + GGRNo. of labeled samples=10, Backbone=ResNet-182026.06 | 57.01 | |
| IOMatch + GGRNo. of labeled samples=25, Backbone=ResNet-182026.06 | 56.93 | |
| IOMatchNo. of labeled samples=25, Backbone=ResNet-182026.06 | 56.71 | |
| DACNo. of labeled samples=10, Backbone=ResNet-182026.06 | 55.18 | |
| IOMatch + GGRNo. of labeled samples=10, Backbone=ResNet-182026.06 | 51.68 | |
| IOMatchNo. of labeled samples=10, Backbone=ResNet-182026.06 | 51.59 | |
| DACNo. of labeled samples=5, Backbone=ResNet-182026.06 | 49.41 | |
| DAC + GGRNo. of labeled samples=5, Backbone=ResNet-182026.06 | 48.94 | |
| IOMatch + GGRNo. of labeled samples=5, Backbone=ResNet-182026.06 | 45.73 | |
| IOMatchNo. of labeled samples=5, Backbone=ResNet-182026.06 | 45.71 |