Depth Completion 벤치마크
Depth Completion on VOID
MAE 낮을수록 좋음
- 2018-07-01 — SS-S2D: MAE 178.85
- 2019-01-28 — DDP: MAE 151.86
- 2019-05-15 — VOICED: MAE 85.05
- 2020-07-20 — NLSPN: MAE 26.736
| Rank | Model | MAE | RMSE | iMAE | iRMSE | Paper | Code | Year |
|---|---|---|---|---|---|---|---|---|
| 1 | NLSPN | 26.736 | 79.121 | 12.703 | 33.876 | Non-Local Spatial Propagation Network for Depth Completion | zzangjinsun/NLSPN_ECCV20 | 2020 |
| 2 | KBNet | 39.80 | 95.86 | 21.16 | 49.72 | Unsupervised Depth Completion with Calibrated Backprojection Layers | alexklwong/calibrated-backprojection-network | 2021 |
| 3 | ScaffNet-FusionNet | 59.53 | 119.14 | 35.72 | 68.36 | Learning Topology from Synthetic Data for Unsupervised Depth Completion | alexklwong/learning-topology-synthetic-data | 2021 |
| 4 | VOICED | 85.05 | 169.79 | 48.92 | 104.02 | Unsupervised Depth Completion from Visual Inertial Odometry | alexklwong/unsupervised-depth-completion-visual-inertial-odometry · alexklwong/void-dataset | 2019 |
| 5 | DDP | 151.86 | 222.36 | 74.59 | 112.36 | Dense Depth Posterior (DDP) from Single Image and Sparse Range | 2019 | |
| 6 | SS-S2D | 178.85 | 243.84 | 80.12 | 107.69 | Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera | fangchangma/self-supervised-depth-completion · LakshmiTeja17/NNFL-Project | 2018 |