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...

Полное описание

Библиографические подробности
Главные авторы:	Pansari, P, Mudigonda, P
Формат:	Conference item
Опубликовано:	Computer Vision Foundation 2017

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