Feature Space Transfer for Data Augmentation

computer vision and pattern recognition, pp. 9090-9098, 2018.

Cited by: 25|Bibtex|Views7|

Abstract:

The problem of data augmentation in feature space is considered. A new architecture, denoted the FeATure TransfEr Network (FATTEN), is proposed for the modeling of feature trajectories induced by variations of object pose. This architecture exploits a parametrization of the pose manifold in terms of pose and appearance. This leads to a ...More

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