Efficient relaxations for dense CRFs with sparse higher-order potentials

Efficient relaxations for dense CRFs with sparse higher-order potentials

<p>Dense conditional random fields (CRFs) have become a popular framework for modelling several problems in computer vision such as stereo correspondence and multi-class semantic segmentation. By modelling long- range interactions, dense CRFs provide a labelling that captures finer detail than...

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Bibliographic Details
Main Authors:	Joy, T, Desmaison, A, Ajanthan, T, Bunel, R, Salzmann, M, Kohli, P, Torr, PHS, Kumar, MP
Format:	Journal article
Published:	Society for Industrial and Applied Mathematics 2019

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