Depth Completion On Kitti Depth Completion
المقاييس
MAE
RMSE
Runtime [ms]
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | MAE | RMSE | Runtime [ms] |
|---|---|---|---|
| sparsity-invariant-cnns | 481 | 1601 | 10 |
| confidence-propagation-through-cnns-for | 233 | 830 | 20 |
| sparse-and-dense-data-with-cnns-depth | 248 | 1035 | 40 |
| non-local-spatial-propagation-network-for | 199.59 | 741.68 | 220 |
| semattnet-towards-attention-based-semantic | - | 709.41 | - |
| towards-precise-and-efficient-image-guided | 210.55 | 730.08 | 32 |
| rignet-repetitive-image-guided-network-for | - | 713.44 | - |
| confidence-propagation-through-cnns-for | 360 | 1268 | 10 |
| 190508616 | 299.41 | 1169.97 | 20 |
| sparse-and-dense-data-with-cnns-depth | 235 | 918 | 70 |
| unsupervised-depth-completion-with-calibrated | 256.76 | 1069.47 | 16 |
| sparse-and-noisy-lidar-completion-with-rgb | 215.02 | 772.87 | 20 |
| dvmn-dense-validity-mask-network-for-depth | 220.37 | 776.31 | - |
| learning-topology-from-synthetic-data-for | 280.76 | 1121.93 | - |
| hms-net-hierarchical-multi-scale-sparsity | 258 | 937 | - |
| confidence-propagation-through-cnns-for | 208 | 859 | 20 |