Point Cloud Pre-training

Pretraining on point cloud data refers to the initial training of a model on a large-scale, diverse point cloud dataset, enabling it to learn basic features of point cloud data. This process aims to enhance the model's performance on specific tasks, especially when the size of task-specific datasets is limited. Through pretraining, the model can better understand shapes and structures in three-dimensional space, thereby playing a crucial role in fields such as robotics, autonomous vehicles, and augmented/virtual reality.