FMB
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Semantic Segmentation | FMB (test) | mIoU70.73 | 110 | |
| Semantic Segmentation | FMB | mIoU0.741 | 67 | |
| Infrared-Visible Image Fusion | FMB (test) | Entropy (EN)7.38 | 16 | |
| Infrared and Visible Image Fusion | FMB 280 image pairs | Entropy (EN)7.018 | 14 | |
| Infrared and visible image fusion | FMB | MI4.38 | 13 | |
| Text-to-Image Retrieval | FMB (test) | R@110.4 | 11 | |
| Image-to-Text Retrieval | FMB (test) | Recall@110.5 | 11 | |
| Visual Representation Generalization | FMB (test) | EN7.47 | 10 | |
| Semantic Segmentation | FMB 1.0 (test) | Unl IoU29.7 | 8 | |
| Infrared-visible Image Fusion | FMB | EN (Entropy)6.86 | 8 | |
| Procedure Planning | FMB T=6 | SR70.4 | 4 | |
| Procedure Planning | FMB (T=5) | SR94.7 | 4 | |
| Procedure Planning | FMB T=4 | SR98.87 | 4 | |
| Procedure Planning | FMB T=3 | Success Rate (SR)100 | 4 |
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