| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Harvard Medicine Dataset (test) | CFI | Average Gradient (AG)7.681 | 20 | 2mo ago | |
| MSRS (test) | Hybrid Fusion | VIF1.079 | 13 | 3mo ago | |
| AWMM-100K Snow condition | CrossFuse | QG40.9 | 12 | 2mo ago | |
| AWMM-100K Haze condition | QG52.03 | 12 | 2mo ago | ||
| AWMM-100K Rain condition | CrossFuse | QG40.57 | 12 | 2mo ago | |
| LLVIP (test) | RLHF | VIF0.495 | 11 | 26d ago | |
| RoadScene | RLVF | EN Score7.574 | 11 | 26d ago | |
| LLVIP | RLHF | Entropy (EN)7.725 | 11 | 26d ago | |
| KAIST PID-generated infrared | DCMIF | AG4.414 | 11 | 2mo ago | |
| FLIR PID-generated infrared | DCMIF | AG (Average Gradient)4.518 | 11 | 2mo ago | |
| MSRS PID-generated infrared | DCMIF | Average Gradient (AG)5.037 | 11 | 2mo ago | |
| MSRS | CAWM-Mamba | QMI78.98 | 11 | 3mo ago | |
| Image Fusion efficiency evaluation 256x256 | LUT-Fuse | Model Size (MB)0.0078 | 10 | 26d ago | |
| Efficiency Evaluation | TDFusion | FLOPs (G)18.21 | 10 | 2mo ago | |
| MSRS (test) | Inference Time (s)0.088 | 10 | 3mo ago | ||
| M3FD (test) | Inference Time (s)0.142 | 10 | 3mo ago | ||
| RoadScene (test) | Inference Time (s)0.043 | 10 | 3mo ago | ||
| TNO (test) | Inference Time (s)0.077 | 10 | 3mo ago | ||
| RoadScene | EGMT | PC0.4386 | 10 | 3mo ago | |
| M3FD | UAAFusion | PC0.5223 | 10 | 3mo ago | |
| MFNet (test) | MagicFuse | EN7.29 | 10 | 3mo ago | |
| MSRS (test) | Text-DiFuse | Entropy7.08 | 10 | 3mo ago | |
| AWMM-100k Rain and Snow | QG35.51 | 4 | 2mo ago | ||
| AWMM-100k Rain and Haze | AWFusion-S | QG0.3775 | 4 | 2mo ago | |
| AWMM-100k Snow and Haze | AWFusion-S | QG0.3578 | 4 | 2mo ago |
