Semantic Segmentation on FOR-instance RMIT, Australia V2
97.7IoUGForestMamba
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| ForestMamba2026.06 | 97.7 | 45.3 | 91.5 | 78.2 | |
| ForestFormer3D2026.06 | 95.6 | 46.4 | 90 | 77.3 | |
| OneFormer3D2026.06 | 93.2 | 47.4 | 86 | 75.5 |
| Method | Links | ||||
|---|---|---|---|---|---|
| ForestMamba2026.06 | 97.7 | 45.3 | 91.5 | 78.2 | |
| ForestFormer3D2026.06 | 95.6 | 46.4 | 90 | 77.3 | |
| OneFormer3D2026.06 | 93.2 | 47.4 | 86 | 75.5 |