The content introduces a novel approach to class-incremental learning, focusing on the challenges of maintaining old knowledge while learning new classes incrementally. The proposed framework combines contrastive learning and semi-supervised incremental prototype classifier (Semi-IPC) to achieve superior performance without storing old samples and using minimal labeled data. Experimental results demonstrate the effectiveness of the method on benchmark datasets.
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by Wenzhuo Liu,... alle arxiv.org 03-28-2024
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