Augmentation-Free Self-Supervised Human Activity Recognition With Attention Mechanism and Adaptive Time Series Mixer
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Self-supervised learning (SSL) can capture intrinsic features from extensive unlabeled data, significantly reducing dependence on labels and performing well in human activity recognition (HAR). However, existing SSL frameworks depend excessively on data augmen... ...
