BiCoS: A Bi-level co-segmentation method for image classification

  • Authors:
  • Yuning Chai;Victor Lempitsky;Andrew Zisserman

  • Affiliations:
  • Electrical Engineering Dept., ETH Zurich, Switzerland;Dept. of Engineering Science, University of Oxford, UK;Dept. of Engineering Science, University of Oxford, UK

  • Venue:
  • ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
  • Year:
  • 2011

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Abstract

The objective of this paper is the unsupervised segmentation of image training sets into foreground and background in order to improve image classification performance. To this end we introduce a new scalable, alternation-based algorithm for co-segmentation, BiCoS, which is simpler than many of its predecessors, and yet has superior performance on standard benchmark image datasets.