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3D Object Detection On View Of Delft Val

Métriques

mAP

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
mAP
Paper TitleRepository
RCBEVDet49.99RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detection
FUTR3D R49.0LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion-
HGSFusion58.96HGSFusion: Radar-Camera Fusion with Hybrid Generation and Synchronization for 3D Object Detection
BEVFusion R49.3LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion-
RadarNeXt50.48RadarNeXt: Real-Time and Reliable 3D Object Detector Based On 4D mmWave Imaging Radar-
SMURF50.97SMURF: Spatial Multi-Representation Fusion for 3D Object Detection with 4D Imaging Radar-
RCFusion49.7RCFusion: Fusing 4-D Radar and Camera With Bird’s-Eye View Features for 3-D Object Detection-
HyDRa60.9Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception
RadarPillarNet46.0RCFusion: Fusing 4-D Radar and Camera With Bird’s-Eye View Features for 3-D Object Detection-
PointPillars45.2Multi-Class Road User Detection With 3+1D Radar in the View-of-Delft Dataset
LXL56.31LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion-
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