Cell Counting on MuCeD
5.83MAE (IEL)Yolov5 (DEGPR)
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| Yolov5 (DEGPR)Model Type=Detection based, Setting=Multi-class2023.04 | 5.83 | 13.43 | 9.63 | |
| SAU-NetModel Type=Density map based, Aggregation=Per-class separate models2023.04 | 11.56 | 28.07 | 19.82 | |
| UNetModel Type=Density map based, Aggregation=Per-class separate models2023.04 | 11.72 | 26.85 | 19.29 | |
| FCRN-AModel Type=Density map based, Aggregation=Per-class separate models2023.04 | 15.6 | 22.81 | 19.21 | |
| CountceptionModel Type=Density map based, Aggregation=Per-class separate models2023.04 | 16.1 | 29.78 | 22.94 |