| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Synthesis | OCTMNIST | FID39.5 | 48 | |
| Medical Image Classification | OCTMNIST | Accuracy91.7 | 47 | |
| Classification | OCTMNIST | Accuracy80.37 | 34 | |
| Retinal Disease Classification | OCTMNIST (test) | Accuracy82.4 | 20 | |
| Classification | OCTMNIST | P10 Delta1.58 | 18 | |
| Classification | OCTMNIST | Worst Delta0.0226 | 18 | |
| Classification | OCTMNIST | Average Delta0.0013 | 18 | |
| Ocular Disease Recognition | OCTMNIST | Accuracy83 | 9 | |
| Open-Set Recognition | OCTMNIST t=3 (test) | Accuracy96.8 | 8 | |
| Classification | OCTMNIST Linear Evaluation 100% ratio | Accuracy77.1 | 7 | |
| Classification | OCTMNIST Linear Evaluation 10% ratio | Accuracy78.3 | 7 | |
| Classification | OCTMNIST Linear Evaluation 1% ratio | Accuracy76.2 | 7 | |
| Classification | OCTMNIST | Mean Client Accuracy (alpha=0.1)90.18 | 6 | |
| Image Classification | OctMNIST (test) | Final Round Test Accuracy72.8 | 5 | |
| Wasserstein distance error bound estimation | OCTMNIST | Fournier Error Bound58.87 | 1 | |
| Multi-Instance Learning Classification | OCTMNIST v2 (test) | Metric- | 0 |