However, most prior work focus on the generic point cloud representation, neglecting the spatial patterns of the points from lidar range images.
When training our new model on synthetic data using the proposed domain adaptation pipeline, we nearly double test accuracy on real-world data, from 29. 0% to 57. 4%.
Ranked #21 on 3D Semantic Segmentation on SemanticKITTI