Generalized Few-shot Semantic Segmentation for LiDAR Point Clouds
Pengze Wu,Jilin Mei,Xijun Zhao,Yu Hu,Pengze Wu,Jilin Mei,Xijun Zhao,Yu Hu
Semantic segmentation of LiDAR point clouds can provide assistance for precise perception in autonomous driving, but traditional segmentation methods face challenges such as unbalanced class distribution and insufficient labeling. Generalized few-shot learning has been researched on image data, but these methods are difficult to apply directly to LiDAR point clouds. To tackle these challenges, we ...
