Exploiting Structural Similarities for Reliable and Informative 3D Semantic Segmentation

The proposed hierarchical multi-label classification (HMC) training strategy enables 3D LiDAR semantic segmentation models to learn structural relationships between classes, allowing them to provide confident high-level information and well-calibrated detailed classifications in uncertain situations.