As most real-world environments are three-dimensional, deep learning models designed to analyze videos or complete tasks in real-world environments should ideally be trained on 3-D data. Technological tools such as robots, self-driving vehicles, smartphones, and other devices are currently generating a growing amount of 3-D data that could eventually be processed by deep learning algorithms.
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Kaolin: The first comprehensive library for 3-D deep learning research
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