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Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies

7 Apr 2016 • Emanuel Laude • Thomas Möllenhoff • Michael Moeller • Jan Lellmann • Daniel Cremers

Convex relaxations of nonconvex multilabel problems have been demonstrated to produce superior (provably optimal or near-optimal) solutions to a variety of classical computer vision problems. Yet, they are of limited practical use as they require a fine discretization of the label space, entailing a huge demand in memory and runtime... (read more)

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