Truncated max-of-convex models

Truncated max-of-convex models

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Truncated convex models (TCM) are a special case of pairwise random fields that have been widely used in computer vision. However, by restricting the order of the potentials to be at most two, they fail to capture useful image statistics. We propose a natural generalization of TCM to high-order rand...

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Dades bibliogràfiques
Autors principals:	Pansari, P, Mudigonda, P
Format:	Conference item
Publicat:	Computer Vision Foundation 2017

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