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On learning higher-order consistency potentials for multi-class pixel labeling

Park, Kyoungup; Gould, Stephen


Pairwise Markov random fields are an effective framework for solving many pixel labeling problems in computer vision. However, their performance is limited by their inability to capture higher-order correlations. Recently proposed higher-order models are

CollectionsANU Research Publications
Date published: 2012
Type: Conference paper
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI: 10.1007/978-3-642-33709-3_15


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