Using synthetic data for effective association knowledge learning

In a paper published in Machine Intelligence Research, a team of researchers study whether 3D synthetic data can replace real-world videos for association training. Specifically, they introduce a large-scale synthetic data engine named MOTX, where the motion characteristics of cameras and objects are manually configured to be similar to those of real-world datasets.

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