Monocular Cross View Road Scene Parsing Road 2
Métriques
mAP
mIOU
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | mAP | mIOU | Paper Title | Repository |
|---|---|---|---|---|
| DCTNet | 88.87% | 76.71% | A Dual-Cycled Cross-View Transformer Network for Unified Road Layout Estimation and 3D Object Detection in the Bird's-Eye-View | |
| crossView | 87.30% | 76.56% | Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-View Transformation |
0 of 2 row(s) selected.