Closed-set Classification on CIFAR-100 (50-50)
71.2AccuracyUAGreg
Evaluation results
| Method | Links | |
|---|---|---|
| UAGregNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 71.2 | |
| IOMatch + GGRNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 70.89 | |
| DAC + GGRNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 70.68 | |
| DACNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 70.6 | |
| IOMatchNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 70.43 | |
| SimMatchNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 70.23 | |
| CoMatchNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 69.94 | |
| SoftMatchNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 69.05 | |
| FixMatchNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 69.03 | |
| OpenMatch + GGRNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 66.36 | |
| UAGregNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 66.19 | |
| Safe-StuNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 66.17 | |
| IOMatch + GGRNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 65.94 | |
| OpenMatchNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 65.65 | |
| DAC + GGRNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 65.45 | |
| IOMatchNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 65.33 | |
| SimMatchNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 65.15 | |
| DACNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 64.84 | |
| SoftMatchNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 63.39 | |
| FixMatchNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 62.38 | |
| UAGregNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 60.71 | |
| IOMatch + GGRNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 60.61 | |
| CoMatchNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 59.81 | |
| IOMatchNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 59.49 | |
| DAC + GGRNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 57.19 | |
| DACNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 56.94 | |
| OpenMatch + GGRNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 56.45 | |
| OpenMatchNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 56.19 | |
| Safe-StuNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 55.83 | |
| SoftMatchNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 55.56 | |
| SimMatchNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 55.09 | |
| MTCFNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 54.98 | |
| MixMatchNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 53.59 | |
| FixMatchNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 52.31 | |
| CoMatchNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 46.79 | |
| OpenMatch + GGRNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 45.11 | |
| OpenMatchNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 44.55 | |
| Fully SupervisedNo. of labeled samples=25, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 44.05 | |
| MTCFNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 43.29 | |
| Safe-StuNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 42.97 | |
| MixMatchNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 41.99 | |
| MTCFNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 30.73 | |
| MixMatchNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 30.45 | |
| Fully SupervisedNo. of labeled samples=10, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 26.01 | |
| Fully SupervisedNo. of labeled samples=5, Backbone=WideResNet-28-2, Class split=50 / 502026.06 | 18.16 |