Cuboid layout estimation on PanoContext (test)
87.533D IoULGT-Net
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| LGT-NetBackbone=HRNet-18, repro_codebase=PanoLayoutStudio2023.11 | 87.53 | — | — | — | |
| OursBackbone=HRNet-18, repro_codebase=PanoLayoutStudio2023.11 | 87.23 | — | — | — | |
| Dula-Netv2Training Configuration=Stnfd.2D3D + Whole PanoContext, Post-processing=false2023.03 | 86.6 | 0.67 | 2.48 | — | |
| LGT-NetTraining Configuration=Stnfd.2D3D + Whole PanoContext, Post-processing=true2023.03 | 86.03 | 0.63 | 2.11 | — | |
| LGT-NetTraining Configuration=Stnfd.2D3D + Whole PanoContext, Post-processing=false2023.03 | 85.76 | — | — | — | |
| DOPNetTraining Configuration=Stnfd.2D3D + Whole PanoContext, Post-processing=true2023.03 | 85.58 | 0.66 | 2.1 | — | |
| DOPNetTraining Configuration=Stnfd.2D3D + Whole PanoContext, Post-processing=false2023.03 | 85.47 | — | — | — | |
| DOPNetTraining Configuration=PanoContext + Whole Stnfd.2D3D, Post-processing=false2023.03 | 85.46 | — | — | — | |
| LGT-NetTraining Configuration=PanoContext + Whole Stnfd.2D3D, Post-processing=false2023.03 | 85.16 | — | — | — | |
| LGT-Net2023.05 | 85.16 | — | — | — | |
| LGT-NetBackbone=ResNet-502023.11 | 85.16 | — | — | — | |
| LayoutNetv2Training Configuration=PanoContext + Whole Stnfd.2D3D, Post-processing=false2023.03 | 85.02 | 0.63 | 1.79 | — | |
| LayoutNet v22023.05 | 85.02 | — | — | — | |
| LayoutNet v2Backbone=ResNet-342023.11 | 85.02 | — | — | — | |
| DOPNetTraining Configuration=PanoContext + Whole Stnfd.2D3D, Post-processing=true2023.03 | 85 | 0.69 | 2.13 | — | |
| LGT-NetTraining Configuration=PanoContext + Whole Stnfd.2D3D, Post-processing=true2023.03 | 84.94 | 0.69 | 2.07 | — | |
| Oursstride=64, interval=1282023.05 | 84.52 | — | — | — | |
| OmniLayoutTraining set=PanoContext + Stanford 2D-3D, Input Resolution=512 x 10242021.04 | 84.5 | 0.69 | 2.1 | — | |
| HorizonNetTraining dataset=PanoContext + Stnfd.2D3D2019.01 | 84.23 | 0.69 | 1.9 | — | |
| HorizonNet2023.05 | 84.23 | — | — | — | |
| AtlantaNetTraining Configuration=Stnfd.2D3D + Whole PanoContext, Post-processing=false2023.03 | 83.94 | 0.71 | 2.18 | — | |
| Dula-Netv2Training Configuration=PanoContext + Whole Stnfd.2D3D, Post-processing=false2023.03 | 83.77 | 0.81 | 2.43 | — | |
| DuLa-Net v22023.05 | 83.77 | — | — | — | |
| DuLaNet v2Backbone=ResNet-502023.11 | 83.77 | — | — | — | |
| HorizonNetNumber of labels=963, Number of images=1,0092021.03 | 83.55 | 0.7 | 1.97 | — | |
| SSLayout360Number of labels=963, Number of images=1,0092021.03 | 83.3 | 0.69 | 1.9 | — | |
| OmniLayoutTraining Set=PanoContext [32], Input Resolution=512 x 10242021.04 | 83.02 | 0.75 | 2.2 | — | |
| LED²-Net2021.04 | 82.75 | — | — | — | |
| HorizonNetTraining Configuration=Stnfd.2D3D + Whole PanoContext, Post-processing=false2023.03 | 82.72 | 0.69 | 2.27 | — | |
| LayoutNetv2Training Configuration=Stnfd.2D3D + Whole PanoContext, Post-processing=false2023.03 | 82.66 | 0.83 | 2.59 | — | |
| HorizonNetTraining Configuration=PanoContext + Whole Stnfd.2D3D, Post-processing=false2023.03 | 82.63 | 0.74 | 2.17 | — | |
| HorizonNetBackbone=ResNet-502023.11 | 82.63 | — | — | — | |
| HorizonNetTraining dataset=PanoContext2019.01 | 82.17 | 0.76 | 2.2 | — | |
| HorizonNet2021.04 | 82.17 | — | — | — | |
| HorizonNetTraining set=PanoContext + Stanford 2D-3D, Input Resolution=512 x 10242021.04 | 80.2 | 0.79 | 2.6 | — | |
| HorizonNetTraining Set=PanoContext [32], Input Resolution=512 x 10242021.04 | 79.8 | 0.82 | 2.7 | — | |
| CFLTraining dataset=PanoContext2019.01 | 78.79 | 0.79 | 2.49 | — | |
| CFLTraining Set=PanoContext [32], Input Resolution=256 x 5122021.04 | 78.79 | 0.79 | 2.49 | — | |
| AtlantaNet2021.04 | 78.76 | — | — | — | |
| SSLayout360Number of labels=200, Number of images=1,0092021.03 | 78.64 | 0.96 | 2.72 | — | |
| DuLa-NetTraining dataset=PanoContext2019.01 | 77.42 | — | — | — | |
| DuLa-Netconfiguration=full2018.11 | 77.42 | — | — | — | |
| DuLa-Net2021.04 | 77.42 | — | — | — | |
| DuLa-NetTraining Set=PanoContext [32], Input Resolution=256 x 5122021.04 | 77.42 | — | — | — | |
| HorizonNetNumber of labels=200, Number of images=1,0092021.03 | 75.76 | 1.07 | 3.17 | — | |
| LayoutNet w/ Stnfd. 2D-3D dataTraining dataset=Stanford 2D-3D, Configuration=full2018.03 | 75.12 | 1.02 | 3.18 | — | |
| LayoutNetTraining dataset=PanoContext + Stnfd.2D3D2019.01 | 75.12 | 1.02 | 3.18 | — | |
| LayoutNetTraining set=PanoContext + Stanford 2D-3D, Input Resolution=512 x 10242021.04 | 75.12 | 1.02 | 3.18 | — | |
| LayoutNet (corner+boundary+3D)Components=corner + boundary + 3D, Configuration=full2018.03 | 74.48 | 1.06 | 3.34 | — | |
| LayoutNetTraining dataset=PanoContext2019.01 | 74.48 | 1.06 | 3.34 | — | |
| LayoutNet2018.11 | 74.48 | — | — | — | |
| LayoutNet2021.04 | 74.48 | — | — | — | |
| LayoutNetTraining Set=PanoContext [32], Input Resolution=512 x 10242021.04 | 74.48 | 1.06 | 3.34 | — | |
| LayoutNet w/ L2 lossLoss function=L22018.03 | 73.55 | 1.12 | 3.43 | — | |
| LayoutNet (corner+boundary)Components=corner + boundary2018.03 | 73.26 | 1.07 | 3.31 | — | |
| LayoutNet w/o layout optimizationLayout optimization=disabled2018.03 | 73.25 | 1.08 | 3.37 | — | |
| LayoutNet (corner)Components=corner2018.03 | 73.16 | 1.08 | 4.1 | — | |
| SSLayout360Number of labels=100, Number of images=1,0092021.03 | 72.86 | 1.42 | 3.47 | — | |
| LayoutNet w/o cuboid constraintCuboid constraint=disabled2018.03 | 72.56 | 1.12 | 3.39 | — | |
| LayoutNet w/o alignmentAlignment=disabled2018.03 | 69.91 | 1.44 | 4.39 | — | |
| SSLayout360Number of labels=50, Number of images=1,0092021.03 | 68.41 | 1.76 | 3.73 | — | |
| PanoContext2018.03 | 67.23 | 1.6 | 4.55 | — | |
| PanoContextTraining dataset=PanoContext2019.01 | 67.23 | 1.6 | 4.55 | — | |
| PanoContextTraining Set=PanoContext [32]2021.04 | 67.23 | 1.6 | 4.55 | — | |
| HorizonNetNumber of labels=100, Number of images=1,0092021.03 | 65.43 | 3.17 | 4.75 | — | |
| HorizonNetNumber of labels=50, Number of images=1,0092021.03 | 63.84 | 2.78 | 5.03 | — | |
| SSLayout360Number of labels=20, Number of images=1,0092021.03 | 63.05 | 2.57 | 4.84 | — | |
| HorizonNetNumber of labels=20, Number of images=1,0092021.03 | 61.48 | 3.51 | 5.68 | — | |
| LayoutNetvariant=full (corner+boundary+3D)2018.03 | — | — | — | 44.73 | |
| LayoutNetalignment=false2018.03 | — | — | — | 31 | |
| LayoutNetcuboid constraint=false2018.03 | — | — | — | 13.75 | |
| LayoutNetlayout optimization=false2018.03 | — | — | — | 14.23 |