Image Generation on Cell-200 (test)
7.266Intra-FIDCcGAN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| CcGANHyper-parameter selection strategy=SVDL, Label input mechanism=ILI, Image resolution=64x64, Training iterations=30,000, Batch size=2562020.11 | 7.266 | 1.22 | — | 1.684 | |
| CcGANHyper-parameter selection strategy=HVDL, Label input mechanism=ILI, Image resolution=64x64, Training iterations=30,000, Batch size=2562020.11 | 8.759 | 1.283 | — | 3.263 | |
| cGANLabel input mechanism=concat, Image resolution=64x64, Training iterations=30,000, Batch size=2562020.11 | 41.599 | 3.25 | — | 37.689 | |
| CcGANHyper-parameter selection strategy=HVDL, Label input mechanism=NLI, Image resolution=64x64, Training iterations=30,000, Batch size=2562020.11 | 50.052 | 1.488 | — | 40.279 | |
| CcGANHyper-parameter selection strategy=SVDL, Label input mechanism=NLI, Image resolution=64x64, Training iterations=30,000, Batch size=2562020.11 | 56.078 | 1.829 | — | 51.318 | |
| cGANNumber of classes (binning)=100 classes, Image resolution=64x64, Training iterations=30,000, Batch size=2562020.11 | 90.255 | 2.13 | — | 30.086 |