Room Layout Estimation on Matterport3D official (test)
0.8391Overall 2D IoULED²-Net
Evaluation Results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LED²-Net2021.04 | 0.8391 | 0.8152 | 0.8691 | 0.8422 | 0.8553 | 0.8322 | 0.7872 | 0.7689 | 0.7179 | 0.7009 | — | — | — | |
| AtlantaNet2021.04 | 0.8209 | 0.8002 | 0.8442 | 0.8209 | 0.8385 | 0.8208 | 0.7697 | 0.7519 | 0.7319 | 0.7162 | — | — | — | |
| HorizonNet2021.04 | 0.8124 | 0.7873 | 0.8354 | 0.8081 | 0.8291 | 0.8061 | 0.7626 | 0.741 | 0.7247 | 0.703 | — | — | — | |
| DuLa-Net2021.04 | 0.7882 | 0.7505 | 0.8112 | 0.7702 | 0.8269 | 0.7879 | 0.74 | 0.7103 | 0.6612 | 0.6327 | — | — | — | |
| LayoutNet2021.04 | 0.7873 | 0.7582 | 0.8461 | 0.8135 | 0.7502 | 0.7233 | 0.6979 | 0.6745 | 0.6514 | 0.63 | — | — | — | |
| 360-MLCPre-trained Dataset=MatterportLayout, Setting=Setting 22022.10 | 0.715 | 0.672 | — | — | — | — | — | — | — | — | 0.49 | 0.78 | 8.14 | |
| SSLayout360-ST*Pre-trained Dataset=MatterportLayout, Setting=Setting 22022.10 | 0.7058 | 0.6664 | — | — | — | — | — | — | — | — | 0.52 | 0.81 | 8.1 | |
| 360-MLCPre-trained Dataset=LayoutNet, Setting=Setting 22022.10 | 0.6912 | 0.6462 | — | — | — | — | — | — | — | — | 0.57 | 0.69 | 8.31 | |
| SSLayout360-ST*Pre-trained Dataset=LayoutNet, Setting=Setting 22022.10 | 0.6614 | 0.6151 | — | — | — | — | — | — | — | — | 0.57 | 0.76 | 8.3 | |
| 360-MLCPre-trained Dataset=ZInD, Setting=Setting 22022.10 | 0.6445 | 0.5953 | — | — | — | — | — | — | — | — | 0.59 | 0.75 | 8.17 | |
| SSLayout360-ST*Pre-trained Dataset=ZInD, Setting=Setting 22022.10 | 0.5652 | 0.5212 | — | — | — | — | — | — | — | — | 0.72 | 0.74 | 8.2 |