Object Detection on FRED Challenging
41.63mAP@[.5:.95]YOLO
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| YOLOTrain Mod.=E, Test Mod.=E2026.02 | 41.63 | 79.6 | |
| RT-DETRTrain Mod.=E, Test Mod.=E2026.02 | 35.08 | 76.93 | |
| Faster-RCNNTrain Mod.=E, Test Mod.=E2026.02 | 34.9 | 76.4 | |
| ER-DETRTrain Mod.=RGB+E, Test Mod.=RGB+E2026.02 | 27.87 | 75.73 | |
| DETRTrain Mod.=E, Test Mod.=E2026.02 | 19.81 | 62.2 | |
| RT-DETRTrain Mod.=RGB, Test Mod.=RGB2026.02 | 7.13 | 21.12 | |
| YOLOTrain Mod.=RGB, Test Mod.=RGB2026.02 | 6.33 | 18.13 | |
| DETR_PEPRTrain Mod.=RGB+E, Test Mod.=RGB2026.02 | 5.74 | 21.18 | |
| DETR_L2Train Mod.=RGB+E, Test Mod.=RGB2026.02 | 5.05 | 18.76 | |
| Faster-RCNNTrain Mod.=RGB, Test Mod.=RGB2026.02 | 4.8 | 16.4 | |
| DETRTrain Mod.=RGB, Test Mod.=RGB2026.02 | 4.11 | 15.84 | |
| YOLOSTrain Mod.=RGB, Test Mod.=RGB2026.02 | 2.03 | 8.28 |