Object Detection on M3FD (test)
83.23mAP@0.5 (Full)DIFF-MF
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DIFF-MF2026.01 | 83.23 | — | — | — | — | 74.89 | 88.53 | 90.21 | 83.89 | 75.33 | 86.52 | |
| FusionMamba2026.01 | 83.16 | — | — | — | — | 75.75 | 87.59 | 88.27 | 86.44 | 77.33 | 83.58 | |
| EMMA2026.01 | 83.09 | — | — | — | — | 73.72 | 88.6 | 89.89 | 85.26 | 75.99 | 85.07 | |
| TarDAL2026.01 | 82.96 | — | — | — | — | 75.88 | 87.68 | 90.04 | 86.05 | 74.22 | 83.9 | |
| CDDFuse2026.01 | 82.88 | — | — | — | — | 74.51 | 88.53 | 89.54 | 84.69 | 73.19 | 86.81 | |
| DIDFuse2026.01 | 82.09 | — | — | — | — | 75.05 | 87.73 | 88.99 | 84.14 | 70.83 | 85.77 | |
| MambaDFuse2026.01 | 81.99 | — | — | — | — | 75.97 | 87.67 | 90.08 | 85.29 | 70.67 | 82.28 | |
| SwinFusion2026.01 | 81.96 | — | — | — | — | 75.1 | 87.67 | 86.82 | 83.8 | 74.69 | 83.7 | |
| Scene-Adaptive CBAMInference Speed (s)=0.0322023.10 | 81.46 | 75.92 | 92.55 | 85.14 | 82.72 | — | — | — | — | — | — | |
| Scene-Agnostic CBAMInference Speed (s)=0.0282023.10 | 80.46 | 74.53 | 93.09 | 84.11 | 81.06 | — | — | — | — | — | — | |
| EAEFNet2023.10 | 80.1 | 78.3 | 89.5 | 78.6 | — | — | — | — | — | — | — | |
| TarDALInference Speed (s)=0.047†2023.10 | 77.8 | 74.5 | 89.3 | 74.1 | — | — | — | — | — | — | — | |
| RGB onlyInference Speed (s)=0.0162023.10 | 77.79 | 71.59 | 91.06 | 81.55 | 80.03 | — | — | — | — | — | — | |
| U2FInference Speed (s)=0.1292023.10 | 77.5 | 73.8 | 86.8 | 73.1 | — | — | — | — | — | — | — | |
| Thermal onlyInference Speed (s)=0.0162023.10 | 74.64 | 65.68 | 89.17 | 79.66 | 76.39 | — | — | — | — | — | — | |
| DEALbase_detector=YoLoV52025.03 | 66 | — | — | — | — | 73.7 | 82.6 | 72.6 | 43.6 | 52.8 | 70.7 | |
| DCEvo2025.03 | 62.13 | — | — | — | — | 54.02 | 72 | 75.72 | 55.07 | 49.94 | 66 | |
| LRRNet2025.03 | 61.71 | — | — | — | — | 54.27 | 71.82 | 74.43 | 54.25 | 47.1 | 68.41 | |
| SegMiF2025.03 | 61.69 | — | — | — | — | 55.08 | 71.82 | 76.69 | 53.91 | 46.18 | 66.46 | |
| TextIF2025.03 | 61.68 | — | — | — | — | 54.37 | 71.48 | 75.56 | 52.91 | 48.39 | 67.35 | |
| EMMA2025.03 | 61.6 | — | — | — | — | 54.66 | 71.7 | 73.69 | 54.64 | 47.04 | 67.88 | |
| DDFM2025.03 | 61.59 | — | — | — | — | 54.35 | 71.42 | 75.18 | 54.07 | 46.45 | 68.06 | |
| YDTR2025.03 | 61.46 | — | — | — | — | 54.82 | 71.37 | 74.02 | 52.82 | 48.22 | 67.52 | |
| S+K+Ibase_detector=YoLoV5, preprocessing=SEID+KXNet+IAT2025.03 | 61.2 | — | — | — | — | 70 | 77.2 | 67.8 | 39.4 | 44.4 | 68.3 | |
| SwinFusion2025.03 | 61.03 | — | — | — | — | 53.61 | 71.06 | 74.06 | 53.25 | 46.19 | 68.02 | |
| S+L+Ibase_detector=YoLoV5, preprocessing=SEID+LINF+IAT2025.03 | 61 | — | — | — | — | 69.5 | 77.1 | 67.3 | 39.5 | 44.7 | 67.6 | |
| U+K+Ibase_detector=YoLoV5, preprocessing=UTV+KXNet+IAT2025.03 | 60.7 | — | — | — | — | 69.4 | 80.8 | 66.7 | 35.5 | 48 | 64 | |
| ReCoNet2025.03 | 60.66 | — | — | — | — | 54.07 | 71.24 | 74.17 | 53.48 | 44.18 | 66.78 | |
| CDDFuse2025.03 | 60.6 | — | — | — | — | 53.85 | 71.03 | 74.44 | 51.82 | 45.4 | 67.1 | |
| U+L+Ibase_detector=YoLoV5, preprocessing=UTV+LINF+IAT2025.03 | 60.5 | — | — | — | — | 69.5 | 80.6 | 65.9 | 35.8 | 48.1 | 63.2 | |
| MetaFusion2025.03 | 60.18 | — | — | — | — | 52.8 | 70.5 | 74.15 | 52.66 | 45.04 | 65.9 | |
| TarDAL2025.03 | 60.18 | — | — | — | — | 55.44 | 70.58 | 73.17 | 52.92 | 42.82 | 66.16 | |
| TIM2025.03 | 59.69 | — | — | — | — | 51.3 | 70.44 | 74.83 | 52.29 | 44.17 | 65.34 | |
| Degradedbase_detector=YoLoV52025.03 | 26.2 | — | — | — | — | 52.2 | 34.5 | 13.7 | 16.1 | 17.3 | 23.3 |