Conditional Image Generation on Caltech-256 (test)
60.53Best FIDFreezeD
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FreezeDArchitecture=SNGAN-projection, Pre-trained=ImageNet, Resolution=128x128, Transfer Learning Method=FreezeD, Frozen Layers=12020.02 | 60.53 | 60.53 | |
| Fine-tuningArchitecture=SNGAN-projection, Pre-trained=ImageNet, Resolution=128x128, Transfer Learning Method=vanilla fine-tuning2020.02 | 62.2 | 63.37 |