Object Detection on OdinW
54.15mAP (Mean)Ours
Evaluation results
| Method | Links | |||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| OursTraining=RL-enhanced2025.07 | 54.15 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Qwen2.5-VL-7B + SFTTraining=SFT2025.07 | 49.82 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Qwen2.5-VL-7BModel Size=7B2025.07 | 46.91 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HIPIEBackbone=ViT-H2023.07 | 17.9 | 5.5 | 10.9 | 16.6 | 2.8 | 18.3 | 8 | 0.1 | 2.7 | 5.5 | 75.7 | 0.3 | 1.6 | 6.6 | 0.5 | 1.8 | 1.1 | 8.5 | 42.7 | 0 | 7.2 | 2.7 | 56.2 | 66 | 66.8 | 2.6 | 3.6 | 2.9 | 49.7 | 7.3 | 49.6 | 0.3 | 53.3 | 0 | 53.5 | 0.4 | 0.3 | |
| HIPIEBackbone=ResNet-502023.07 | 14.5 | 3.9 | 5.2 | 9.6 | 2.9 | 8.6 | 6 | 0 | 0.9 | 3.8 | 69.5 | 0.5 | 0.7 | 5.8 | 0.2 | 1.4 | 0.8 | 37.7 | 27.4 | 0 | 7.8 | 2.5 | 68.1 | 58.6 | 36.4 | 1.1 | 3.7 | 3.9 | 33.4 | 3.4 | 5.3 | 27.5 | 7.5 | 0.5 | 24.5 | 0 | 53.9 | |
| GLIP-T2023.07 | 11.4 | 1.6 | 8.3 | 17.1 | 0.1 | 16 | 1.7 | 0 | 1.7 | 0 | 57 | 0.5 | 0.1 | 1.1 | 0.1 | 2.7 | 0.6 | 15.3 | 5.9 | 0 | 0.3 | 1.6 | 58.3 | 51.2 | 31.6 | 0 | 1.6 | 1.6 | 6.2 | 7.4 | 15.9 | 0.2 | 38.7 | 0 | 55 | 0.3 | 0 | |
| MDETR2023.07 | 10.7 | 3 | 0.6 | 5.4 | 0.3 | 1.7 | 6.7 | 0 | 0.7 | 3 | 66.5 | 0 | 3.8 | 5.9 | 3.5 | 0.4 | 0.4 | 3 | 39.8 | 0 | 0 | 0.7 | 63.6 | 5.6 | 15.9 | 0 | 0.5 | 12.7 | 50.6 | 2.8 | 8.1 | 4.5 | 42.8 | 0 | 13.4 | 0.7 | 12.5 |