CIT: Rethinking Class-incremental Semantic Segmentation with a Class
Independent Transformation
CIT: Rethinking Class-incremental Semantic Segmentation with a Class
Independent Transformation
Class-incremental semantic segmentation (CSS) requires that a model learn to segment new classes without forgetting how to segment previous ones: this is typically achieved by distilling the current knowledge and incorporating the latest data. However, bypassing iterative distillation by directly transferring outputs of initial classes to the current learning task …