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Jan, 2024
平衡连续学习与微调在人类活动识别中的应用
Balancing Continual Learning and Fine-tuning for Human Activity Recognition
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Chi Ian Tang, Lorena Qendro, Dimitris Spathis, Fahim Kawsar, Akhil Mathur...
TL;DR
基于可穿戴式设备的人体活动识别是以人为中心的机器学习中的关键任务之一,该研究探索了采用和调整 CaSSLe 和 Kaizen 模型的方案来实现可穿戴式设备的人体活动识别,并研究了不同损失项之间的平衡与知识保留的权衡。
Abstract
wearable-based human activity recognition
(HAR) is a key task in human-centric machine learning due to its fundamental understanding of human behaviours. Due to the dynamic nature of human behaviours,
continual learning
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