2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 2 cited
Revisiting Multi-modal 3D Semantic Segmentation in Real-world Autonomous Driving
Feng Jiang, Chaoping Tu, Gang Zhang +5
LiDAR and camera are two critical sensors for multi-modal 3D semantic segmentation and are supposed to be fused efficiently and robustly to promise safety in various real-world sce…
cs.CV2023
Multi-to-Single Knowledge Distillation for Point Cloud Semantic Segmentation
Shoumeng Qiu, Feng Jiang, Haiqiang Zhang +2
3D point cloud semantic segmentation is one of the fundamental tasks for environmental understanding. Although significant progress has been made in recent years, the performance o…
cs.CV2023
Knowledge Distillation from 3D to Bird's-Eye-View for LiDAR Semantic Segmentation
Feng Jiang, Heng Gao, Shoumeng Qiu +3
LiDAR point cloud segmentation is one of the most fundamental tasks for autonomous driving scene understanding. However, it is difficult for existing models to achieve both high in…