Object Detection on ETDII (test)
29.8mAPCascade R-CNN
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Cascade R-CNNBackbone=SCAResNet-50, RFLA=true2024.04 | 29.8 | 62.6 | 14.6 | 23 | 43.2 | |
| Cascade R-CNNBackbone=ResNet-50, RFLA=true2024.04 | 29 | 61 | 13.3 | 22.1 | 45.3 | |
| Faster R-CNNBackbone=SCAResNet-50, RFLA=true2024.04 | 28.1 | 61.6 | 12.9 | 22.5 | 41.7 | |
| Faster R-CNNBackbone=ResNet-50, RFLA=true2024.04 | 27.8 | 59.3 | 11.7 | 21.7 | 45.4 | |
| FCOSBackbone=SCAResNet-50, RFLA=true2024.04 | 23.3 | 53.1 | 7.6 | 20.8 | 34.4 | |
| FCOSBackbone=ResNet-50, RFLA=true2024.04 | 22 | 48.8 | 5.5 | 19.4 | 36.2 |