Depth Completion on KITTI online leaderboard (test)
0.1886MAETPVD
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| TPVD2D representation=true, 3D representation=true, Parameters (M)=31.2, Additional training data=false2024.03 | 0.1886 | 0.694 | 0.81 | 1.82 | |
| BEV@DC2D representation=false, 3D representation=true, Parameters (M)=30.8, Additional training data=false2024.03 | 0.1894 | 0.6974 | 0.82 | 1.83 | |
| LRRU2D representation=true, 3D representation=false, Parameters (M)=21.0, Additional training data=false2024.03 | 0.19 | 0.6965 | 0.81 | 1.87 | |
| DySPN2D representation=true, 3D representation=false, Parameters (M)=26.3, Additional training data=false2024.03 | 0.1927 | 0.7091 | 0.82 | 1.88 | |
| TWISE2D representation=true, 3D representation=false, Parameters (M)=1.45, Additional training data=false2024.03 | 0.1956 | 0.8402 | 0.82 | 2.08 | |
| GraphCSPN2D representation=false, 3D representation=true, Parameters (M)=26.4, Additional training data=false2024.03 | 0.1993 | 0.7384 | 0.84 | 1.96 | |
| NLSPN2D representation=true, 3D representation=false, Parameters (M)=25.8, Additional training data=false2024.03 | 0.1996 | 0.7417 | 0.84 | 1.99 | |
| PointFusion2D representation=false, 3D representation=true, Parameters (M)=8.7, Additional training data=false2024.03 | 0.2011 | 0.7419 | 0.85 | 1.97 | |
| PointDC2D representation=false, 3D representation=true, Parameters (M)=25.1, Additional training data=false2024.03 | 0.2019 | 0.7361 | 0.87 | 1.97 | |
| RigNet++2D representation=true, 3D representation=false, Parameters (M)=19.9, Additional training data=false2024.03 | 0.2025 | 0.7109 | 0.89 | 2.01 | |
| RigNet2D representation=true, 3D representation=false, Parameters (M)=65.2, Additional training data=false2024.03 | 0.2033 | 0.7127 | 0.9 | 2.08 | |
| CFormer2D representation=true, 3D representation=false, Parameters (M)=83.5, Additional training data=false2024.03 | 0.2035 | 0.7089 | 0.88 | 2.01 | |
| ACMNet2D representation=false, 3D representation=true, Parameters (M)=4.9, Additional training data=false2024.03 | 0.2061 | 0.7449 | 0.9 | 2.08 | |
| CSPN++2D representation=true, 3D representation=false, Parameters (M)=26.0, Additional training data=false2024.03 | 0.2093 | 0.7437 | 0.9 | 2.07 | |
| PENet2D representation=true, 3D representation=false, Parameters (M)=131.5, Additional training data=false2024.03 | 0.2106 | 0.7301 | 0.94 | 2.17 | |
| FCFRNet2D representation=true, 3D representation=false, Parameters (M)=50.6, Additional training data=false2024.03 | 0.2172 | 0.7358 | 0.98 | 2.2 | |
| GuideNet2D representation=true, 3D representation=false, Parameters (M)=73.5, Additional training data=false2024.03 | 0.2188 | 0.7362 | 0.99 | 2.25 | |
| FuseNet2D representation=false, 3D representation=true, Parameters (M)=1.9, Additional training data=true2024.03 | 0.2212 | 0.7529 | 1.14 | 2.34 | |
| DLIDAR2D representation=false, 3D representation=true, Parameters (M)=53.4, Additional training data=true2024.03 | 0.2265 | 0.7584 | 1.15 | 2.56 | |
| NConv2D representation=true, 3D representation=false, Parameters (M)=0.36, Additional training data=false2024.03 | 0.2333 | 0.83 | 1.03 | 2.6 | |
| DepthNormal2D representation=false, 3D representation=true, Parameters (M)=~40, Additional training data=false2024.03 | 0.2352 | 0.777 | 1.13 | 2.42 | |
| S2D2D representation=true, 3D representation=false, Parameters (M)=26.1, Additional training data=false2024.03 | 0.25 | 0.8147 | 1.21 | 2.8 | |
| CSPN2D representation=true, 3D representation=false, Parameters (M)=17.4, Additional training data=false2024.03 | 0.2795 | 1.0196 | 1.15 | 2.93 | |
| KBNetTraining protocol=unsupervised, Additional synthetic data=false2021.08 | 256.76 | 1,069.47 | 1.02 | 2.95 | |
| SynthProjTraining protocol=unsupervised, Additional synthetic data=true2021.08 | 280.42 | 1,095.26 | 1.19 | 3.53 | |
| ScaffNetTraining protocol=unsupervised, Additional synthetic data=true2021.08 | 280.76 | 1,121.93 | 1.15 | 3.3 | |
| FusionNetLearning Protocol=Unsupervised2021.06 | 280.76 | 1,121.93 | 1.15 | 3.3 | |
| FusionNet# Param=≈7.8M2021.06 | 280.76 | 1,121.93 | 1.15 | 3.3 | |
| AdaFrameTraining protocol=unsupervised, Additional synthetic data=false2021.08 | 291.62 | 1,125.67 | 1.16 | 3.32 | |
| VOICEDTraining protocol=unsupervised, Additional synthetic data=false2021.08 | 299.41 | 1,169.97 | 1.2 | 3.56 | |
| VGG11Learning Protocol=Unsupervised2021.06 | 299.41 | 1,169.97 | 1.2 | 3.56 | |
| VGG11# Param=≈9.7M2021.06 | 299.41 | 1,169.97 | 1.2 | 3.56 | |
| IP-BasicTraining protocol=unsupervised, Additional synthetic data=false2021.08 | 302.6 | 1,288.46 | 1.29 | 3.78 | |
| KuLearning Protocol=Unsupervised2021.06 | 302.6 | 1,288.46 | 1.29 | 3.78 | |
| VGG8Learning Protocol=Unsupervised2021.06 | 304.57 | 1,164.58 | 1.28 | 3.66 | |
| VGG8# Param=≈6.4M2021.06 | 304.57 | 1,164.58 | 1.28 | 3.66 | |
| DDPTraining protocol=unsupervised, Additional synthetic data=true2021.08 | 343.46 | 1,263.19 | 1.32 | 3.58 | |
| YangLearning Protocol=Unsupervised2021.06 | 343.46 | 1,263.19 | 1.32 | 3.58 | |
| Yang# Param=≈18.8M2021.06 | 343.46 | 1,263.19 | 1.32 | 3.58 | |
| SS-S2DTraining protocol=unsupervised, Additional synthetic data=false2021.08 | 350.32 | 1,299.85 | 1.57 | 4.07 | |
| MaLearning Protocol=Unsupervised2021.06 | 350.32 | 1,299.85 | 1.57 | 4.07 | |
| Ma# Param=≈27.8M2021.06 | 350.32 | 1,299.85 | 1.57 | 4.07 | |
| DFuseNetTraining protocol=unsupervised, Additional synthetic data=false2021.08 | 429.93 | 1,206.66 | 1.79 | 3.62 | |
| ShivakumarLearning Protocol=Unsupervised2021.06 | 429.93 | 1,206.66 | 1.79 | 3.62 | |
| Shivakumar# Param=n/a2021.06 | 429.93 | 1,206.66 | 1.79 | 3.62 | |
| SGDUTraining protocol=unsupervised, Additional synthetic data=false2021.08 | 605.47 | 2,312.57 | 2.05 | 7.38 | |
| SchneiderLearning Protocol=Unsupervised2021.06 | 605.47 | 2,312.57 | 2.05 | 7.38 | |
| Schneider# Param=n/a2021.06 | 605.47 | 2,312.57 | 2.05 | 7.38 |