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Prediction Of Occupancy Grid Maps On Occ3D

Métriques

mIoU

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
mIoU
Paper TitleRepository
DAOcc53.82DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy Prediction-
UniOcc51.27UniOcc: Unifying Vision-Centric 3D Occupancy Prediction with Geometric and Semantic Rendering-
FB-OCC-G40.69FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation-
FB-OCC-H42.06FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation-
CTF-Occ28.53FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation-
MiLO52.45Multi-Scale Occ: 4th Place Solution for CVPR 2023 3D Occupancy Prediction Challenge-
HyDRa R5044.4Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception-
FB-OCC-K52.79FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation-
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Prediction Of Occupancy Grid Maps On Occ3D | SOTA | HyperAI