Image Classification on SVHN 250 labels (train)
4.19Error RateTriple-GAN-V2
Evaluation results
| Method | Links | |
|---|---|---|
| Triple-GAN-V2Number of labels=250, Data Augmentation=false, Classifier=13-layer CNN (classifier in [32])2019.12 | 4.19 | |
| MT (our code base)Number of labels=250, Data Augmentation=false, Classifier=13-layer CNN (classifier in [32])2019.12 | 5.82 | |
| MTNumber of labels=250, Data Augmentation=false, Classifier=13-layer CNN2019.12 | 5.85 | |
| Π modelNumber of labels=250, Data Augmentation=false, Classifier=13-layer CNN2019.12 | 10.36 |