Image Classification on SVHN 500 labels (train)
3.84Error RateTriple-GAN-V2
Evaluation Results
| Method | Links | |
|---|---|---|
| Triple-GAN-V2Number of labels=500, Data Augmentation=false, Classifier=13-layer CNN (classifier in [32])2019.12 | 3.84 | |
| MT (our code base)Number of labels=500, Data Augmentation=false, Classifier=13-layer CNN (classifier in [32])2019.12 | 4.48 | |
| MTNumber of labels=500, Data Augmentation=false, Classifier=13-layer CNN2019.12 | 5.45 | |
| Π modelNumber of labels=500, Data Augmentation=false, Classifier=13-layer CNN2019.12 | 7.01 |