Proposing Pseudo Ground Truth Augmentation (PGT-Aug) to address class imbalance in LiDAR-based object detection.
The proposed FASD framework boosts the accuracy of a lightweight Mamba-based 3D object detector by distilling knowledge from a more powerful Transformer-based teacher model, while significantly reducing computational complexity.