Maximum Flows by Incremental Breadth-First Search

  title={Maximum Flows by Incremental Breadth-First Search},
  author={Andrew V. Goldberg and Sagi Hed and Haim Kaplan and Robert E. Tarjan and Renato F. Werneck},
Maximum flow and minimum s-t cut algorithms are used to solve several fundamental problems in computer vision. These problems have special structure, and standard techniques perform worse than the special-purpose Boykov-Kolmogorov (BK) algorithm. We introduce the incremental breadth-first search (IBFS) method, which uses ideas from BK but augments on shortest paths. IBFS is theoretically justified (runs in polynomial time) and usually outperforms BK on vision problems. 
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Kolmogorov . An Experimental Comparison of MinCut / MaxFlow Algorithms for Energy Minimization in Vision

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