SimPer: Simple self-supervised learning of periodic targets Google AI Google AI Blog
Posted by Daniel McDuff, Staff Research Scientist, and Yuzhe Yang, Student Researcher, Google Learning from periodic data (signals that repeat, such as a heart beat or the daily temperature changes on Earth’s surface) is crucial for many real-world applications, from monitoring weather systems to detecting… Read More »SimPer: Simple self-supervised learning of periodic targets Google AI Google AI Blog