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What is Non-Exemplar Class-Incremental Learning about?

This document presents a novel self-sustaining representation expansion scheme for non-exemplar class-incremental learning (NECIL), which addresses the challenge of recognizing both old and new classes without retaining old samples. The proposed method includes a dynamic structure reorganization strategy and a main-branch distillation scheme to maintain old features and enhance discrimination between classes. Experimental results demonstrate significant performance improvements over existing state-of-the-ar

Author

lmf18336452014

Language

EN