Monocular Depth Estimation On Mid Air Dataset
Métriques
Abs Rel
RMSE
RMSE log
SQ Rel
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Abs Rel | RMSE | RMSE log | SQ Rel |
|---|---|---|---|---|
| unsupervised-monocular-depth-estimation-with | 0.3136 | 13.595 | 0.4380 | 8.7127 |
| digging-into-self-supervised-monocular-depth | 0.717 | 74.552 | 0.882 | 37.164 |
| a-technique-to-jointly-estimate-depth-and | 0.134 | - | 0.188 | - |
| recurrent-neural-network-for-un-supervised-1 | 0.2410 | 12.599 | 0.3618 | 5.5321 |
| exploiting-temporal-consistency-for-real-time | 0.4040 | 13.685 | 0.4383 | 6.3902 |
| m4depth-a-motion-based-approach-for-monocular | 0.1425 | 8.8641 | 0.24571 | 3.6798 |