A comparative study of modern inference techniques for structured discrete energy minimization problems

Szeliski et al. published an influential study in 2006 on energy minimization methods for Markov random fields. This study provided valuable insights in choosing the best optimization technique for certain classes of problems. While these insights remain generally useful today, the phenomenal succes...

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Bibliographic Details

Main Authors:	Kappes, Jörg Hendrik (Author) , Hamprecht, Fred (Author) , Schnörr, Christoph (Author) , Kausler, Bernhard (Author) , Kröger, Thorben (Author) , Savchynskyy, Bogdan (Author)
Format:	Article (Journal)
Language:	English
Published:	14 March 2015
In:	International journal of computer vision Year: 2015, Volume: 115, Issue: 2, Pages: 155-184
ISSN:	1573-1405
DOI:	10.1007/s11263-015-0809-x
Online Access:	Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/s11263-015-0809-x
Author Notes:	Jörg H. Kappes, Bjoern Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother