M3FD
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Object Detection | M3FD dataset | mAP@0.599.1 | 48 | |
| Object Detection | M3FD (test) | Clean mAP5086.9 | 38 | |
| Object Detection | M3FD | AP@[0.5:0.95]63.2 | 35 | |
| Super-Resolution | M3FD (test) | LPIPS0.1038 | 28 | |
| Segmentation | M3FD | IoU81.6 | 16 | |
| Object Detection | M3FD | AP (Person)55.2 | 16 | |
| Object Detection | M3FD | mAP50 Person55.2 | 16 | |
| Infrared and visible image fusion | M3FD (test) | NIQE4.03 | 14 | |
| Infrared-visible image fusion | M3FD (test) | MI4.563 | 14 | |
| Super-Resolution | M3FD | LPIPS0.0728 | 13 | |
| Object Detection | M3FD-inf (test) | mAP59.1 | 13 | |
| Infrared and visible image fusion | M3FD | MI4.54 | 13 | |
| Object Detection | M3FD | AP (Car)95 | 12 | |
| Object Detection | M3FD | mAP (people)0.902 | 12 | |
| Image Fusion | M3FD (test) | Inference Time (s)0.142 | 10 | |
| Image Fusion | M3FD | PC0.5223 | 10 | |
| Visible-Infrared Image Fusion | M3FD | EI13.04 | 10 | |
| Object Detection | M3FD | mAP@0.5086.27 | 10 | |
| Image Super-Resolution | M3FD x4 scale (test) | MI Score3.1162 | 10 | |
| Image Super-Resolution | M3FD x2 scale (test) | MI3.0536 | 10 | |
| Object Detection | M3FD | Precision97.5 | 9 | |
| Object Detection | M3FD | ASR (%)74.83 | 9 | |
| Object Detection | M3FD | mAP55.3 | 9 | |
| Video Restoration | M3FD (Set20) | PSNR30.3834 | 9 | |
| Video Restoration | M3FD randomly sampled (Set10) | PSNR30.6093 | 9 |
Showing 25 of 43 rows