| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Dimensionality Reduction | Retina | AUC R_NX Score1.0001 | 42 | |
| Semi-Supervised Domain Generalization Image Classification | Retina (test) | Average Accuracy40.2 | 36 | |
| Dimensionality Reduction | Retina | AUC RNX1.0001 | 21 | |
| KNN Classification | Retina | Accuracy (k=1)97.72 | 20 | |
| Silhouette Score Evaluation | Retina | Silhouette Score0.5073 | 20 | |
| KNN Classification | Retina | KNN Score (k=5)0.9817 | 20 | |
| Clustering | Retina | NMI77.63 | 20 | |
| Medical Anomaly Detection | Retina | Dice Score94.61 | 15 | |
| Diabetic retinopathy classification | Retina (test) | AUC80.48 | 13 | |
| Diabetic retinopathy classification | Retina (val) | AUC0.8785 | 13 | |
| Reconstruction | Retina (test) | Reconstruction MSE0.0001 | 10 | |
| Classification | Retina | Accuracy88.4 | 9 | |
| Image Classification | RETINA | Mean Accuracy75.22 | 7 | |
| Multicategory Classification | Retina | AUROC94.2 | 7 | |
| Open-ended Visual Question Answering | Retina | F1 Score67.8 | 6 | |
| Closed Visual Question Answering | Retina | F1 Score71.27 | 6 | |
| Cell-type annotation | Retina | Cluster Accuracy72.8 | 6 | |
| Medical Anomaly Segmentation | Retina | Dice Score93.18 | 5 | |
| Image Classification | Retina Retinology Fundus | Accuracy88.4 | 4 |