Instance Segmentation on FOR-instance RMIT, Australia V2
89.3PrecisionForestMamba
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| ForestMamba2026.06 | 89.3 | 78.1 | 83.3 | 71.4 | |
| OneFormer3D2026.06 | 83.3 | 62.5 | 71.4 | 58.8 | |
| ForestFormer3D2026.06 | 80.7 | 78.1 | 79.4 | 70.3 |
| Method | Links | ||||
|---|---|---|---|---|---|
| ForestMamba2026.06 | 89.3 | 78.1 | 83.3 | 71.4 | |
| OneFormer3D2026.06 | 83.3 | 62.5 | 71.4 | 58.8 | |
| ForestFormer3D2026.06 | 80.7 | 78.1 | 79.4 | 70.3 |