Weakly-supervised Incremental learning for Semantic segmentation with Class Hierarchy

Hyoseo Kim, Junsuk Choe

Abstract: Highlights•Our paper introduces WISH, utilizing hierarchy and image labels for class incremental learning in semantic segmentation.•We efficiently utilize hierarchy, boosting segmentation performances without added costs.•Our method outperforms existing methods in all configurations, showcasing hierarchical integration’s effectiveness.