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Deformable Classifiers

Published in arXiv (Cornell University) • Dec 18, 2017
Authors:
Jiajun Shen
,
Yali Amit

Abstract

Geometric variations of objects, which do not modify the object class, pose a major challenge for object recognition. These variations could be rigid as well as non-rigid transformations. In this paper, we design a framework for training deformable classifiers, where latent transformation variables ...

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