TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception

TL;DR

Labeling LiDAR point clouds is notoriously time-and-energy-consuming, which spurs recent unsupervised 3D representation learning methods to alleviate the labeling burden in LiDAR perception via pretra…

Opening excerpt from the authors’ abstract. source