HyperAI

Depth Completion On Void

Métriques

MAE
RMSE
iMAE
iRMSE

Résultats

Résultats de performance de divers modèles sur ce benchmark

Tableau comparatif
Nom du modèleMAERMSEiMAEiRMSE
learning-topology-from-synthetic-data-for59.53119.1435.7268.36
dense-depth-posterior-ddp-from-single-image151.86222.3674.59112.36
non-local-spatial-propagation-network-for26.73679.12112.70333.876
self-supervised-sparse-to-dense-self178.85243.8480.12107.69
19050861685.05169.7948.92104.02
unsupervised-depth-completion-with-calibrated39.8095.8621.1649.72