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Mar, 2023
密集网络扩展用于类别增量学习
Dense Network Expansion for Class Incremental Learning
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Zhiyuan Hu, Yunsheng Li, Jiancheng Lyu, Dashan Gao, Nuno Vasconcelos
TL;DR
提出了一种基于Dense Network Expansion和Cross-Task Attention机制的类别增量学习方法,实现了在保持旧数据特征空间的基础上,减缓网络和特征规模增长速率,解决了算法复杂度和准确率之间的trade-off问题。
Abstract
The problem of
class incremental learning
(CIL) is considered. State-of-the-art approaches use a dynamic architecture based on
network expansion
(NE), in which a task expert is added per task. While effective fro
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