UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object Detection
Open paper
Benchmark
Model
Rank
Results
3d-object-detection-on-argoverse-2-3d-object-detection
UniMamba
–
mAP: 42.0
3d-object-detection-on-nuscenes
UniMamba
–
NDS: 0.740
mAP: 0.702
3d-object-detection-on-waymo-open-dataset
UniMamba
–
mAPH/L2: 74.11
Rank counts only results with a code link.