Efficient Monocular 3D Object Detection through Teaching Assistant Knowledge Distillation

The core message of this paper is to propose a Teaching Assistant Knowledge Distillation (MonoTAKD) framework that enhances the efficiency of distilling 3D information from a LiDAR-based teacher model to a camera-based student model for monocular 3D object detection.