Efficient belief propagation with learned higher-order markov random fields
ECCV (2), pp. 269-282, 2006.
novel approximationhigher-order markov random fieldimage structurehigher order mrfsefficient belief propagationMore(10+)
Belief propagation (BP) has become widely used for low-level vision problems and various inference techniques have been proposed for loopy graphs. These methods typically rely on ad hoc spatial priors such as the Potts model. In this paper we investigate the use of learned models of image structure, and demonstrate the improvements obtain...More
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