TABLE VI.
Feature quality before and after joint training. The format of results for before joint training means the ACC of supervised / unsupervised / reliable labels, for after joint training means the ACC of supervised / unsupervised. The supervised results were obtained by training a linear classifier while fixing the feature model.
| Method | STL-10 | CIFAR-10 | CIFAR-100-20 |
|---|---|---|---|
| Before | 0.908/0.862/0.977 | 0.893/0.845/0.965 | 0.729/0.468/0.677 |
| After (SPICE) | 0.938/0.920 | 0.922/0.918 | 0.723/0.535 |
| After (SCAN) | 0.877/0.855 | 0.901/0.874 | 0.693/0.455 |