Image Classification on CIFAR-10 2k labels (test)
11.87Test Error RateTriple-GAN-V2
Evaluation results
| Method | Links | |
|---|---|---|
| Triple-GAN-V2Classifier=13-layer CNN [32], Data Augmentation=Standard2019.12 | 11.87 | |
| Fast-SWA-480Classifier=13-layer CNN (similar), Data Augmentation=Standard2019.12 | 12.24 | |
| SWA-480Classifier=13-layer CNN (similar), Data Augmentation=Standard2019.12 | 13.09 | |
| Label PropagationClassifier=13-layer CNN (similar), Data Augmentation=Standard2019.12 | 13.22 | |
| SNTGClassifier=13-layer CNN (similar), Data Augmentation=Standard2019.12 | 13.64 | |
| MTClassifier=13-layer CNN (similar), Data Augmentation=Standard2019.12 | 15.73 | |
| II modelClassifier=13-layer CNN (similar), Data Augmentation=Standard2019.12 | 18.02 | |
| MT (our code base)Classifier=13-layer CNN [32], Data Augmentation=Standard2019.12 | 18.05 |