ARD: attention-guided reweighted knowledge distillation on image-like feature representations for real-time unmanned surface vehicles detection from LiDAR point clouds

Key Points

• Detection accuracy improves with attention-guided methods for LiDAR point clouds, enhancing performance.
• Real-time unmanned surface vehicle detection achieved, showing significant advancements in speed and efficiency.
• Technique involves knowledge distillation on image-like feature representations, optimizing the processing framework.
• Highlights the potential for improving object recognition systems in real-time applications.