Rotated Object Detection on DOTA 2.0 (test)
58.96mAPMAE
Evaluation results
| Method | Links | |
|---|---|---|
| MAEBackbone=ViT-L + RVSA2024.03 | 58.96 | |
| BillionFMBackbone=ViT-G12X42024.03 | 58.69 | |
| MAE + MTPBackbone=ViT-L + RVSA2024.03 | 58.41 | |
| DCFLBackbone=ReResNet-101, MS=false2024.03 | 57.66 | |
| GGHLBackbone=DarkNet-53, MS=false2024.03 | 57.17 | |
| MAE + MTPBackbone=ViT-B + RVSA2024.03 | 56.08 | |
| MAEBackbone=ViT-B + RVSA2024.03 | 55.22 | |
| IMP + MTPBackbone=InternImage-XL2024.03 | 55.13 | |
| IMPBackbone=InternImage-XL2024.03 | 54.85 | |
| Oriented RCNNBackbone=ResNet-50, MS=true2024.03 | 53.28 | |
| ROI TransformerBackbone=ResNet-50, MS=true2024.03 | 52.81 | |
| S2ANetBackbone=ResNet-50, MS=true2024.03 | 49.86 | |
| ATSS-OBBBackbone=ResNet-50, MS=false2024.03 | 49.57 | |
| Oriented RepPointsBackbone=ResNet-50, MS=false2024.03 | 48.95 | |
| FCOS-OBBBackbone=ResNet-502024.03 | 48.51 | |
| Faster RCNN-OBBBackbone=ResNet-50, MS=false2024.03 | 47.31 | |
| R3Det-KLDBackbone=ResNet-50, MS=true2024.03 | 47.26 | |
| RetinaNet-OBBBackbone=ResNet-50, MS=true2024.03 | 46.68 | |
| SASMBackbone=ResNeXt-101, MS=true2024.03 | 44.53 |