• DocumentCode
    2959484
  • Title

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

  • Author

    Chai, Yuning ; Lempitsky, Victor ; Zisserman, Andrew

  • Author_Institution
    Electr. Eng. Dept., ETH Zurich, Zurich, Switzerland
  • fYear
    2011
  • fDate
    6-13 Nov. 2011
  • Firstpage
    2579
  • Lastpage
    2586
  • 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.
  • Keywords
    image classification; image segmentation; BiCoS; alternation-based algorithm; background; bilevel cosegmentation method; foreground; image classification; image training sets; unsupervised segmentation; Accuracy; Birds; Image color analysis; Image segmentation; Support vector machines; Training; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision (ICCV), 2011 IEEE International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1550-5499
  • Print_ISBN
    978-1-4577-1101-5
  • Type

    conf

  • DOI
    10.1109/ICCV.2011.6126546
  • Filename
    6126546
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2959484