Harish Haresamudram

How much Unlabeled Data is Really Needed for Effective Self-Supervised Human Activity Recognition?

The prospect of learning effective representations from unlabeled data alone has led to a boost in developing self-supervised learning (SSL) methods for sensor-based Human Activity Recognition (HAR). Typically, (large-scale) unlabeled data are used for pre-training, with the learned weights being used as feature extra…