Enhancing Pseudo Label Quality for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection

A novel pseudo label refinery framework that enhances the reliability of pseudo labels and addresses the issue of instance-level point number inconsistency to consistently improve the performance of unsupervised domain adaptation for cross-dataset 3D object detection.