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Memory augmented using diffusion model for class-incremental learning

delete2025-06-10
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OA
AI
Q
Quentin Jodelet
X
Xin Liu
Y
Yin Jun Phua
T
Tsuyoshi Murata
DOI：10.1016/j.imavis.2025.105600delete
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摘要

摘要

En 中文
• 使用预训练扩散模型生成过去类别的合成样本。 • 合成数据可用于监督损失的回放和知识蒸馏损失。 • 显著提高了面向类增量学习的方法性能。
Keyword:
Continual learning
Class incremental learning
Image classification
Image generation

期刊

Image and Vision Computing 封面图
Image and Vision Computing
IF:
4.2
论文数:
4.1K
被引数:
6.7K

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