Object Detection on DOTA (AP, AP50, AP75, Scale Metrics)
50.38APHMR-Net
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| HMR-Net2026.04 | 50.38 | 77.61 | 54.05 | 43.26 | 58.23 | 71.74 | 59.21 | |
| LSKNet2026.04 | 48.93 | 75.78 | 52.41 | 42.47 | 56.25 | 69.48 | 57.55 | |
| ORFENet2026.04 | 48.52 | 75.24 | 52.58 | 43.11 | 56.32 | 69.31 | 57.51 | |
| MoCaE2026.04 | 47.58 | 74.53 | 50.91 | 40.85 | 54.67 | 68.42 | 56.16 | |
| AFD2026.04 | 46.72 | 73.01 | 49.18 | 38.22 | 53.19 | 67.9 | 54.7 | |
| DAMEX2026.04 | 45.4 | 73.33 | 46.86 | 34.19 | 51.32 | 68.06 | 53.19 | |
| Me R-CNN2026.04 | 44.32 | 72.79 | 47.51 | 34.85 | 50.62 | 67.08 | 52.86 | |
| RTMDet2026.04 | 44.28 | 72.6 | 47.68 | 35.17 | 50.76 | 67.01 | 52.92 | |
| H2RBox2026.04 | 43.07 | 69.84 | 45.34 | 33.08 | 49.71 | 66.98 | 51.34 | |
| CR-CNN2026.04 | 42.05 | 69.14 | 42.57 | 31.33 | 48.85 | 66.27 | 50.04 | |
| FR-CNN2026.04 | 40.72 | 68.35 | 41.09 | 29.84 | 47.08 | 65.04 | 48.69 |