Object Detection on M3FD (Class APs & mAP@0.5)
75.35AP (Person)TEDFusion
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| TEDFusion2026.06 | 75.35 | 81.98 | 54.62 | 48.11 | 43.01 | 41.13 | 57.37 | |
| DenseFuse2026.06 | 75.04 | 81.19 | 33.04 | 36.87 | 40.86 | 24.1 | 48.52 | |
| DCINN2026.06 | 74.82 | 79.89 | 31.64 | 42.79 | 41.42 | 36.39 | 51.16 | |
| DeFusion2026.06 | 73.75 | 81.66 | 37.81 | 41.29 | 48.8 | 33.43 | 53.45 | |
| ReCoNet2026.06 | 72.57 | 81.03 | 39.26 | 43.99 | 28.55 | 48.42 | 52.3 | |
| U2Fusion2026.06 | 71.92 | 81.49 | 31.27 | 43.83 | 35.89 | 42.91 | 51.22 | |
| Text-IF2026.06 | 71.75 | 80.91 | 45.67 | 41.17 | 40.73 | 15.16 | 49.23 | |
| GIFNet2026.06 | 69.83 | 79.64 | 40.25 | 47.25 | 32.94 | 31.79 | 50.28 | |
| TextFusion2026.06 | 68.79 | 78.26 | 20.31 | 30.2 | 16.93 | 14.99 | 38.25 | |
| SemLA2026.06 | 66.86 | 75.89 | 33.64 | 39.88 | 19.15 | 22.48 | 42.98 | |
| VDMUFusion2026.06 | 57.58 | 76.07 | 13.8 | 46.56 | 34.55 | 27.28 | 42.64 | |
| GIFuse2026.06 | 53.19 | 74.62 | 18.34 | 21.91 | 2.19 | 12.52 | 30.59 |