Conditional GAN on CUB-200 2011 (test)
26.37Best FIDFreezeD
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FreezeDArchitecture=SNGAN-projection, Pre-trained=ImageNet, Resolution=128x128, Transfer Learning Method=FreezeD, Frozen Layers=22020.02 | 26.37 | 27.63 | |
| Fine-tuningArchitecture=SNGAN-projection, Pre-trained=ImageNet, Resolution=128x128, Transfer Learning Method=vanilla fine-tuning2020.02 | 32.29 | 32.6 |