Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine Strategies on Sparse Data
Published in: International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
This study explores continual learning approaches for LiDAR semantic segmentation, focusing on class-incremental and coarse-to-fine strategies to manage sparse data.