Synthesizing Attributes with Unreal Engine for Fine-grained Activity Analysis

2019 IEEE Winter Applications of Computer Vision Workshops (WACVW), pp. 35-37, 2019.

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Abstract:

We examine the problem of activity recognition in video using simulated data for training. In contrast to the expensive task of obtaining accurate labels from real data, synthetic data creation is not only fast and scalable, but provides ground-truth labels for more than just the activities of interest, including segmentation masks, 3D ob...More

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