Semantic Segmentation on Stanford2D3D (3-fold average)
0.6306mIoUREL-SF4PASS
Evaluation results
| Method | Links | |
|---|---|---|
| REL-SF4PASSmodal=RGB-REL2026.01 | 0.6306 | |
| CMX*modal=RGB-HHA2026.01 | 0.6071 | |
| SFSSmodal=RGB-HHA2026.01 | 0.606 | |
| SFSSmodal=RGB-HHA-N2026.01 | 0.6024 | |
| SFSSmodal=RGB-HHA-D2026.01 | 0.5999 | |
| SFSSmodal=RGB-N2026.01 | 0.5943 | |
| PanoFormermodal=RGB-D2026.01 | 0.5703 | |
| HoHoNetmodal=RGB-D2026.01 | 0.5673 | |
| CBFCmodal=RGB-D2026.01 | 0.567 | |
| Twinmodal=RGB2026.01 | 0.5585 | |
| SFSSmodal=RGB-D2026.01 | 0.5549 | |
| SGTA4PASSmodal=RGB2026.01 | 0.553 | |
| Trans4PASS+modal=RGB2026.01 | 0.537 | |
| Tangentmodal=RGB-D2026.01 | 0.525 | |
| CBFCmodal=RGB2026.01 | 0.522 | |
| Trans4PASSmodal=RGB2026.01 | 0.521 | |
| HoHoNetmodal=RGB2026.01 | 0.52 | |
| PanoFormermodal=RGB2026.01 | 0.489 | |
| Tangentmodal=RGB2026.01 | 0.456 | |
| SWSCNNmodal=RGB2026.01 | 0.434 |