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Democratizing Production-Scale Distributed Deep Learning
The interest and demand for training deep neural networks have been experiencing rapid growth, spanning a wide range of applications in both academia and industry.
Going Deeper into First-Person Activity Recognition
Our appearance stream encodes prior knowledge of the egocentric paradigm by explicitly training the network to segment hands and localize objects.
How Do We Use Our Hands? Discovering a Diverse Set of Common Grasps
Furthermore, we develop a hierarchical extension to the DPP clustering algorithm and show that it can be used to discover appearance-based grasp taxonomies.
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