GeoTeacher: Geometry-Guided 3D Object Detection

This paper addresses the challenge of semi-supervised 3D object detection, focusing on improving the student model's understanding of object geometry, especially with limited labeled data. The core contribution lies in the GeoTeacher framework, which uses a keypoint-based geometric relation supervision module to transfer knowledge from a teacher model to the student, and a voxel-wise data augmentation strategy with a distance-decay mechanism. This approach aims to enhance the student's ability in object perception and localization, leading to improved performance on benchmark datasets.