Open access
2026
Dense-to-Sparse Knowledge Distillation for 3-D Semantic Segmentation
Single-frame LiDAR and RGB-D point clouds are inherently sparse: occlusions, limited field of view, and sensor resolution leave many objects geometrically incomplete in any individual capture. While multi-frame aggregation can reconstruct denser scene geometry, it increases inference cost and introduces motion artifact...
Daniil Storonkin, Nikita Sidelnikov, Maksim Golyadkin et al.
· IEEE Access · 0 citations