COVID-19
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multi-step short-term forecasting | COVID-19 (test) | MAE0.071 | 58 | |
| Multivariate Time Series Forecasting | COVID-19 (test) | MAE0.071 | 28 | |
| Short-term forecasting | COVID-19 | MAE0.123 | 26 | |
| Medical Image Segmentation | Covid-19 | Dice Score45.04 | 21 | |
| Medical Image Classification | Covid-19 | F1-Score97.78 | 20 | |
| Opinion Dynamics Modeling | COVID-19 (60 T) | RMSE20.05 | 17 | |
| Opinion Dynamics Modeling | COVID-19 (30 T) | RMSE18.26 | 17 | |
| Multivariate Time-series Forecasting | COVID-19 1/22/2020 to 5/10/2020 (14 Day horizon) | MAPE17.1 | 16 | |
| Multivariate Time-series Forecasting | COVID-19 7 Day horizon 1/22/2020 to 5/10/2020 | MAPE15.5 | 16 | |
| Long-term forecasting | COVID-19 Country 1 | MSE0.11 | 15 | |
| Multivariate Time Series Forecasting | COVID-19 | MAE0.123 | 14 | |
| Medical Image Segmentation | COVID-19 dataset (test) | Dice Coefficient73.99 | 14 | |
| Next-event time and location prediction | COVID-19 | Temporal Error (RMSE)0.093 | 10 | |
| System Dynamics Prediction | COVID-19 (test) | TMSE0.309 | 9 | |
| Medical Image Segmentation | COVID-19 lung region segmentation | Dice Coefficient86.58 | 8 | |
| Multi-step forecasting | COVID-19 28Day | MAE662.24 | 8 | |
| Multivariate Time-series Forecasting | COVID-19 28 Day horizon 1/22/2020 to 5/10/2020 | MAPE19.3 | 8 | |
| Opinion Forecasting | COVID-19 (test) | RMSE18.68 | 7 | |
| Anomaly Classification | COVID-19 | Image-AUC0.854 | 7 | |
| Cluster number prediction | Covid-19 | Number of Clusters (NC)3 | 6 | |
| COVID-19 Detection | COVID-19 dataset | Accuracy99.08 | 6 | |
| Multi-batch integration | Covid-19 | Avg Batch Effect0.824 | 5 | |
| Lung infection segmentation | COVID-19 CT | DSC97.45 | 5 | |
| Semantic Segmentation | COVID-19 1/4 labeled ratio | Background IoU97.08 | 4 | |
| Semantic Segmentation | COVID-19 1/8 labeled ratio | IoU (Background)96.72 | 4 |
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