Self-Paced Video Data Augmentation with Dynamic Images Generated by Generative Adversarial Networks

16 Sep 2019Yumeng ZhangGaoguo JiaLi ChenMingrui ZhangJunhai Yong

There is an urgent need for an effective video classification method by means of a small number of samples. The deficiency of samples could be effectively alleviated by generating samples through Generative Adversarial Networks (GAN), but the generation of videos on a typical category remains to be underexplored since the complex actions and the changeable viewpoints are difficult to simulate... (read more)

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