Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving
Jilin Mei,Junbao Zhou,Yu Hu,Jilin Mei,Junbao Zhou,Yu Hu
In autonomous driving, the novel objects and lack of annotations challenge the traditional 3D LiDAR semantic segmentation based on deep learning. Few-shot learning is a feasible way to solve these issues. However, currently few-shot semantic segmentation methods focus on camera data, and most of them only predict the novel classes without considering the base classes. This setting cannot be direct...
