Evaluating the Effectiveness of AI-Generated Data for Video-Based Action Recognition
This study evaluates AI-generated videos for action recognition across convolutional and transformer-based architectures using real, synthetic, and hybrid datasets and demonstrates that incorporating synthetic videos effectively supports model performance while significantly reducing annotation overhead.