Just Add $ 100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem

Neural Information Processing Systems 

Typical LiDAR-based 3D object detection models are trained with real-world data collection, which is often imbalanced over classes. To deal with it, augmentation techniques are commonly used, such as copying ground truth LiDAR points and pasting them into scenes.