Depth Estimation On Stanford2D3D Panoramic
Metriken
RMSE
absolute relative error
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | RMSE | absolute relative error |
|---|---|---|
| panodepth-a-two-stage-approach-for-monocular | 0.3747 | 0.0972 |
| glpanodepth-global-to-local-panoramic-depth | 0.3493 | - |
| himode-a-hybrid-monocular-omnidirectional | 0.2619 | 0.0532 |
| hohonet-360-indoor-holistic-understanding | 0.3834 | 0.1014 |
| fredsnet-joint-monocular-depth-and-semantic | 0.2727 | 0.0952 |
| unifuse-unidirectional-fusion-for-360-circ | 0.3691 | 0.1114 |
| geometric-structure-based-and-regularized | 0.421 | - |
| omnidepth-dense-depth-estimation-for-indoors | 0.6152 | 0.1996 |
| bifuse-monocular-360-depth-estimation-via-bi | 0.4142 | 0.1209 |
| neural-contourlet-network-for-monocular-360 | 0.3528 | 0.0558 |
| slicenet-deep-dense-depth-estimation-from-a | 0.3684 | 0.0744 |
| panoformer-panorama-transformer-for-indoor | 0.3083 | 0.0405 |
| distortion-aware-convolutional-filters-for | 0.369 | 0.176 |
| improving-360-monocular-depth-estimation-via | 0.2776 | 0.0649 |
| omnifusion-360-monocular-depth-estimation-via | 0.3474 | 0.095 |
| acdnet-adaptively-combined-dilated | 0.341 | 0.0984 |
| bifuse-self-supervised-and-efficient-bi | 0.372 | 0.1117 |
| spheredepth-panorama-depth-estimation-from | 0.4512 | 0.1158 |