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In this paper, we address the problem of joint detection of objects like dog and its semantic parts like face, leg, etc.
Ranked #1 on Object Detection on PASCAL Part 2010 - Animals (using extra training data)
In particular, this enables images in the training dataset to be matched to a virtual 3D model of the object (for simplicity, we assume that the object viewpoint can be estimated by standard techniques).
According to our experiments under this fine-grained dataset, we find that state-of-the-art methods are significantly limited by the small variance among subcategories in the same category.