Background Adaptation with Residual Modeling for Exemplar-Free
Class-Incremental Semantic Segmentation
Background Adaptation with Residual Modeling for Exemplar-Free
Class-Incremental Semantic Segmentation
Class Incremental Semantic Segmentation~(CISS), within Incremental Learning for semantic segmentation, targets segmenting new categories while reducing the catastrophic forgetting on the old categories.Besides, background shifting, where the background category changes constantly in each step, is a special challenge for CISS. Current methods with a shared background classifier struggle to keep …