On Learning Higher-Order Consistency Potentials for Multi-class Pixel Labeling

  title={On Learning Higher-Order Consistency Potentials for Multi-class Pixel Labeling},
  author={Kyoungup Park and Stephen Gould},
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 showing superior performance to their pairwise counterparts. In this paper, we derive two variants of the higher-order lower linear envelop model and show how to perform tractable move-making inference in these models. We propose a novel use of… CONTINUE READING
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