LDRFusion reports a LiDAR-dominant two-stage fusion architecture that improves 3D detection on KITTI and nuScenes by refining LiDAR proposals with pseudo point clouds.
V oxelnet: End-to-end learning for point cloud based 3d object detection
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
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
LDRFusion: A LiDAR-Dominant multimodal refinement framework for 3D object detection
LDRFusion reports a LiDAR-dominant two-stage fusion architecture that improves 3D detection on KITTI and nuScenes by refining LiDAR proposals with pseudo point clouds.