Depth Completion On Void
평가 지표
MAE
RMSE
iMAE
iRMSE
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | MAE | RMSE | iMAE | iRMSE | Paper Title | Repository |
|---|---|---|---|---|---|---|
| ScaffNet-FusionNet | 59.53 | 119.14 | 35.72 | 68.36 | Learning Topology from Synthetic Data for Unsupervised Depth Completion | |
| DDP | 151.86 | 222.36 | 74.59 | 112.36 | Dense Depth Posterior (DDP) from Single Image and Sparse Range | - |
| NLSPN | 26.736 | 79.121 | 12.703 | 33.876 | Non-Local Spatial Propagation Network for Depth Completion | |
| SS-S2D | 178.85 | 243.84 | 80.12 | 107.69 | Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera | |
| VOICED | 85.05 | 169.79 | 48.92 | 104.02 | Unsupervised Depth Completion from Visual Inertial Odometry | |
| KBNet | 39.80 | 95.86 | 21.16 | 49.72 | Unsupervised Depth Completion with Calibrated Backprojection Layers |
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