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cs.CV2023★ 3 cited
On the Benefit of Generative Foundation Models for Human Activity Recognition
Zikang Leng, Hyeokhyen Kwon, Thomas Plötz
In human activity recognition (HAR), the limited availability of annotated data presents a significant challenge. Drawing inspiration from the latest advancements in generative AI,…
cs.CV2023★ 1 cited
Generating Virtual On-body Accelerometer Data from Virtual Textual Descriptions for Human Activity Recognition
Zikang Leng, Hyeokhyen Kwon, Thomas Plötz
The development of robust, generalized models in human activity recognition (HAR) has been hindered by the scarcity of large-scale, labeled data sets. Recent work has shown that vi…