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Addressing the Data Diversity Gap With Uniquely Generated Synthetic Vıdeos for Real-World Human Action Recognition
(Fen Bilimleri Enstitüsü, 2023)
Recognition of human actions using machine learning requires substantial datasets to develop robust models. However, obtaining such real-world data is challenging because it is a costly and time-consuming process. In ...