Procedural Generation of Videos to Train Deep Action Recognition Networks
computer vision and pattern recognition, 2017.
Deep learning for human action recognition in videos is making significant progress, but is slowed down by its dependency on expensive manual labeling of large video collections. In this work, we investigate the generation of synthetic training data for action recognition, as it has recently shown promising results for a variety of other ...More
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