MFNet
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Semantic Segmentation | MFNet (test) | mIoU62.7 | 172 | |
| Semantic Segmentation | MFNet nighttime (test) | mIoU60.9 | 42 | |
| Semantic Segmentation | MFNet day-night (test) | Car IoU91.5 | 35 | |
| Semantic Segmentation | MFNet daytime (test) | mIoU55 | 30 | |
| Semantic Segmentation | MFNet 1.0 (test) | Car IoU87.9 | 18 | |
| Semantic Segmentation | MFNet | Car IoU90.1 | 16 | |
| Semantic Segmentation | MFNet 1.0 (nighttime) | mAcc69.4 | 15 | |
| Semantic Segmentation | MFNet 1.0 (daytime) | mAcc65.5 | 15 | |
| Semantic Segmentation | MFNet | RGB mAcc71.4 | 14 | |
| Semantic Segmentation | MFNet Dataset (test) | Background IoU97.97 | 14 | |
| Semantic Segmentation | MFNet 5 (test) | Car IoU91.5 | 13 | |
| Semantic Segmentation | MFNet RGB-T 2017 (test) | mIoU60.3 | 13 | |
| Semantic Segmentation | MFNet | mIoU59.9 | 13 | |
| Image Fusion | MFNet (test) | EN7.29 | 10 | |
| Object Detection | MFNet | ASR97.1 | 9 | |
| Multi-modal Image Registration and Fusion | MFNet | HD67.38 | 9 | |
| Semantic Segmentation | MFNet (test) | Params (M)0.74 | 9 | |
| Semantic Segmentation | MFNet | FPS106.3 | 8 | |
| Multi-modal Image Registration | MFNet (test) | FLOPs (G)15.33 | 6 | |
| RGB-T Semantic Segmentation | MFNet | Latency (ms)11.25 | 4 |
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