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Found 3 papers, 1 papers with code
The benefits of synthetic data for action categorization
In this paper, we study the value of using synthetically produced videos as training data for neural networks used for action categorization.
Keyframe-based monocular SLAM: design, survey, and future directions
Extensive research in the field of monocular SLAM for the past fifteen years has yielded workable systems that found their way into various applications in robotics and augmented reality.
Identifying Good Training Data for Self-Supervised Free Space Estimation
This paper proposes a novel technique to extract training data from free space in a scene using a stereo camera.
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