LISO: Lidar-only Self-Supervised 3D Object Detection

The author introduces a novel self-supervised method for training state-of-the-art lidar object detection networks using only lidar point cloud sequences, eliminating the need for costly manual annotations. The approach leverages motion cues and trajectory-regularized self-training to achieve high performance across multiple datasets.