RaCFormer achieves 64.9% mAP and 70.2% NDS on nuScenes test for radar-camera 3D detection via query-based dual-view feature sampling, circular query initialization, radar-aided depth estimation, and a ConvGRU temporal module.
V oxelnext: Fully sparse voxelnet for 3d object de- tection and tracking
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
RaCFormer: Towards High-Quality 3D Object Detection via Query-based Radar-Camera Fusion
RaCFormer achieves 64.9% mAP and 70.2% NDS on nuScenes test for radar-camera 3D detection via query-based dual-view feature sampling, circular query initialization, radar-aided depth estimation, and a ConvGRU temporal module.