MSRS
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Semantic Segmentation | MSRS | mIoU86.7 | 68 | |
| Visible-Infrared Image Fusion | MSRS (test) | Average Gradient (AG)4.18 | 43 | |
| Infrared-visible Image Fusion | MSRS | QAB/F (Quality Assessment Block/Fusion)0.732 | 38 | |
| Object Detection | MSRS (test) | mAP@0.598.5 | 34 | |
| Semantic Segmentation | MSRS (test) | Background Score99.32 | 17 | |
| Infrared and Visible Image Fusion | MSRS 361 image pairs (test) | Entropy (EN)6.734 | 14 | |
| Image Fusion | MSRS (test) | VIF1.079 | 13 | |
| Image Fusion | MSRS PID-generated infrared | Average Gradient (AG)5.037 | 11 | |
| Image Fusion | MSRS | QMI78.98 | 11 | |
| Semantic Segmentation | MSRS Clean (test) | Background Score99.23 | 10 | |
| Object Detection | MSRS | mAP@5095.18 | 10 | |
| Image Fusion | MSRS (test) | Inference Time (s)0.088 | 10 | |
| Visible-Infrared Image Fusion | MSRS | EI10.39 | 10 | |
| Multi-modal Image Fusion | MSRS | Inference Time (s)0.03 | 10 | |
| Image Fusion | MSRS (test) | Entropy7.08 | 10 | |
| Infrared and Visible Image Fusion | MSRS | Params (M)0.07 | 8 | |
| Infrared and Visible Image Fusion | MSRS (test) | Params (M)1.5 | 7 | |
| Semantic Segmentation | MSRS Snow (test) | Background IoU99.25 | 1 | |
| Semantic Segmentation | MSRS Haze (test) | Background IoU99.19 | 1 |
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