Typically, AI requires massive amounts of training data to understand complex human actions. However, in real-world scenarios, it is often difficult to secure sufficient video data for specific actions. A research team led by Jae-Pil Heo, Professor in the Department of Software at Sungkyunkwan University, has developed an AI technology that can accurately recognize new actions from only a small number of example videos. The research team focused on few-shot action recognition, which enables AI to learn and distinguish the characteristics of new actions from only a few examples.
AI tech recognizes human actions from just a few example videos
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