2026
Towards Efficient Semi-Supervised Semantic Segmentation for Solid-State LiDAR Point Clouds
ICRA 2026poster
LiDAR-based 3D semantic segmentation is a critical task in autonomous driving, but its scalability is limited by the reliance on large-scale labeled datasets. Semi-supervised learning (SSL) offers a potential solution by leveraging unlabeled data. However, most existing SSL segmentation methods are …