3D Object Detection From Monocular Images On 7
Métriques
AP25
AP50
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | AP25 | AP50 |
|---|---|---|
| monodetr-depth-aware-transformer-for | 27.13 | 0.79 |
| delving-into-localization-errors-for | 28.99 | 0.85 |
| deep-hough-voting-for-3d-object-detection-in | 30.61 | 3.40 |
| seabird-segmentation-in-bird-s-view-with-dice | 35.04 | 3.14 |
| monodtr-monocular-3d-object-detection-with | 39.76 | 3.02 |
| seabird-segmentation-in-bird-s-view-with-dice | 37.12 | 4.64 |
| omni3d-a-large-benchmark-and-model-for-3d | 15.57 | 0.80 |
| groomed-nms-grouped-mathematically | 16.12 | 0.17 |
| deep-hough-voting-for-3d-object-detection-in | 23.59 | 4.08 |
| geometry-uncertainty-projection-network-for | 27.25 | 0.87 |
| deviant-depth-equivariant-network-for | 26.96 | 0.88 |