Mixed Feature Prediction on Boundary Learning for Point Cloud Semantic Segmentation
Existing point cloud semantic segmentation approaches do not perform well on details, especially for the boundary regions.However, supervised-learning-based methods depend on costly artificial annotations for performance improvement.In this paper, we bridge this gap by designing a self-supervised pretext task applicable to point clouds.Our main inn