Unsupervised 3D Object Detection for Roadside Units: A Label-Efficient Approach

We present a label-efficient 3D object detection method for roadside units based on unsupervised object discovery and refinement, which can achieve comparable performance to fully supervised models with only a small amount of manually labeled data.