Image Classification on CIFAR10 2,000 labels (train)
0.1474Error RateTriple-GAN-V2
Evaluation Results
| Method | Links | |
|---|---|---|
| Triple-GAN-V2Number of labels=2000, Data Augmentation=false, Classifier=13-layer CNN (classifier in [32])2019.12 | 0.1474 | |
| MT (our code base)Number of labels=2000, Data Augmentation=false, Classifier=13-layer CNN (classifier in [32])2019.12 | 0.2124 | |
| MTNumber of labels=2000, Data Augmentation=false, Classifier=13-layer CNN2019.12 | 0.2314 | |
| Π modelNumber of labels=2000, Data Augmentation=false, Classifier=13-layer CNN2019.12 | 0.2392 |