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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