Image Classification on Tiny ImageNet 1,000 labels (train)
17.4Error RateTriple-GAN-V2
Evaluation results
| Method | Links | |
|---|---|---|
| Triple-GAN-V2Number of labels=1000, Data Augmentation=false, Classifier=13-layer CNN (classifier in [32])2019.12 | 17.4 | |
| MT (our code base)Number of labels=1000, Data Augmentation=false, Classifier=13-layer CNN (classifier in [32])2019.12 | 20.67 | |
| Triple-GAN-V1Number of labels=1000, Data Augmentation=false, Classifier=13-layer CNN (classifier in [26])2019.12 | 24.83 | |
| Improved-GANNumber of labels=1000, Data Augmentation=false, Classifier=13-layer CNN (classifier in [26])2019.12 | 28.47 |