226 citations · 505 across the 14 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
cs.CV2022★ 1 cited
Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection
Shaoqing Xu, Fang Li, Ziying Song +3
LiDAR and camera fusion techniques are promising for achieving 3D object detection in autonomous driving. Most multi-modal 3D object detection frameworks integrate semantic knowled…
cs.CV2022★ 9 cited
Semi-supervised 3D Object Detection with Proficient Teachers
Junbo Yin, Jin Fang, Dingfu Zhou +4
Dominated point cloud-based 3D object detectors in autonomous driving scenarios rely heavily on the huge amount of accurately labeled samples, however, 3D annotation in the point c…
cs.CV2022★ 7 cited
ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection
Junbo Yin, Dingfu Zhou, Liangjun Zhang +4
Existing approaches for unsupervised point cloud pre-training are constrained to either scene-level or point/voxel-level instance discrimination. Scene-level methods tend to lose l…