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Jun, 2023
使用扩散模型进行蒸馏与回放的类增量学习
Class-Incremental Learning using Diffusion Model for Distillation and Replay
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Quentin Jodelet, Xin Liu, Yin Jun Phua, Tsuyoshi Murata
TL;DR
本文提出采用预训练稳定扩散模型作为增量学习的额外数据源,并证明其可以进一步提高现有最先进的大规模数据集类增量学习方法的性能。
Abstract
class-incremental learning
aims to learn new classes in an incremental fashion without forgetting the previously learned ones. Several research works have shown how additional data can be used by incremental models to help mitigate
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