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Volumn , Issue , 2010, Pages 2352-2359

Attribute-centric recognition for cross-category generalization

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; INTEGRATED MODELS; SPATIAL ARRANGEMENTS;

EID: 77956006784     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5539924     Document Type: Conference Paper
Times cited : (166)

References (40)
  • 1
    • 50649123565 scopus 로고    scopus 로고
    • Learning the taxonomy and models of categories present in arbitrary images
    • N. Ahuja and S. Todorovic. Learning the taxonomy and models of categories present in arbitrary images. In ICCV, 2007.
    • (2007) ICCV
    • Ahuja, N.1    Todorovic, S.2
  • 2
    • 33745139169 scopus 로고    scopus 로고
    • Cross-generalization: Learning novel classes from a single example by feature replacement
    • E. Bart and S. Ullman. Cross-generalization: Learning novel classes from a single example by feature replacement. In CVPR, 2005.
    • (2005) CVPR
    • Bart, E.1    Ullman, S.2
  • 3
    • 34547975052 scopus 로고    scopus 로고
    • Scaling learning algorithms towards AI
    • L. Bottou, O. Chapelle, D. DeCoste, and J. Weston, editors, MIT Press
    • Y. Bengio and Y. LeCun. Scaling learning algorithms towards AI. In L. Bottou, O. Chapelle, D. DeCoste, and J. Weston, editors, Large-Scale Kernel Mach. MIT Press, 2007.
    • (2007) Large-Scale Kernel Mach
    • Bengio, Y.1    LeCun, Y.2
  • 4
    • 0023322501 scopus 로고
    • Recognition-by-components: A theory of human image understanding
    • I. Bierderman. Recognition-by-components: A theory of human image understanding. Psychological Review, 94(2):115-147, 1987.
    • (1987) Psychological Review , vol.94 , Issue.2 , pp. 115-147
    • Bierderman, I.1
  • 5
    • 85112851150 scopus 로고    scopus 로고
    • Poselets: Body part detectors trained using 3d human pose annotations
    • L. Bourdev and J. Malik. Poselets: Body part detectors trained using 3d human pose annotations. In ICCV, 2009.
    • (2009) ICCV
    • Bourdev, L.1    Malik, J.2
  • 6
    • 0019648299 scopus 로고
    • Model-based three-dimensional interpretation of two-dimensional images
    • R. Brooks, R. Greiner, and T. Binford. Model-based three-dimensional interpretation of two-dimensional images. In IJCAI, 1979.
    • (1979) IJCAI
    • Brooks, R.1    Greiner, R.2    Binford, T.3
  • 7
    • 0031189914 scopus 로고    scopus 로고
    • Multitask learning
    • R. Caruana. Multitask learning. Machine Learning, 28(1):41-75, 1997.
    • (1997) Machine Learning , vol.28 , Issue.1 , pp. 41-75
    • Caruana, R.1
  • 8
    • 34948855941 scopus 로고    scopus 로고
    • An exemplar model for learning object classes
    • O. Chum and A. Zisserman. An exemplar model for learning object classes. In CVPR, 2007.
    • (2007) CVPR
    • Chum, O.1    Zisserman, A.2
  • 12
    • 34948911163 scopus 로고    scopus 로고
    • Transfer learning in sign language
    • A. Farhadi, D. Forsyth, and R. White. Transfer learning in sign language. In CVPR, 2007.
    • (2007) CVPR
    • Farhadi, A.1    Forsyth, D.2    White, R.3
  • 13
    • 51949101231 scopus 로고    scopus 로고
    • A discriminatively trained, multiscale, deformable part model
    • P. Felzenszwalb, D. McAllester, and D. Ramanan. A discriminatively trained, multiscale, deformable part model. In CVPR, 2008.
    • (2008) CVPR
    • Felzenszwalb, P.1    McAllester, D.2    Ramanan, D.3
  • 15
    • 0001470484 scopus 로고
    • VISIONS: A computer system for interpreting scenes
    • A. Hanson and E. Riseman. VISIONS: A computer system for interpreting scenes. In Computer Vision Systems, 1978.
    • (1978) Computer Vision Systems
    • Hanson, A.1    Riseman, E.2
  • 16
    • 33845568397 scopus 로고    scopus 로고
    • Context and hierarchy in a probabilistic image model
    • Y. Jin and S. Geman. Context and hierarchy in a probabilistic image model. In CVPR, 2006.
    • (2006) CVPR
    • Jin, Y.1    Geman, S.2
  • 17
    • 77953185711 scopus 로고    scopus 로고
    • Attribute and simile classifiesrs for face verification
    • N. Kumar, A. Berg, P. Belhumeur, and S. K. Nayar. Attribute and simile classifiesrs for face verification. In ICCV, 2009.
    • (2009) ICCV
    • Kumar, N.1    Berg, A.2    Belhumeur, P.3    Nayar, S.K.4
  • 18
    • 70450172710 scopus 로고    scopus 로고
    • Learning to detect unseen object classes by between-class attribute transfer
    • C. H. Lampert, H. Nickisch, and S. Harmeling. Learning to detect unseen object classes by between-class attribute transfer. In CVPR, 2009.
    • (2009) CVPR
    • Lampert, C.H.1    Nickisch, H.2    Harmeling, S.3
  • 19
    • 39749124915 scopus 로고    scopus 로고
    • Robust object detection with interleaved categorization and segmentation
    • B. Leibe, A. Leonardis, and B. Schiele. Robust object detection with interleaved categorization and segmentation. IJCV, 77(1-3):259-289.
    • IJCV , vol.77 , Issue.1-3 , pp. 259-289
    • Leibe, B.1    Leonardis, A.2    Schiele, B.3
  • 20
    • 33144466753 scopus 로고    scopus 로고
    • One-shot learning of object categories
    • F. Li, R. Fergus, , and P. Perona. One-shot learning of object categories. PAMI, 28(4):594-611.
    • PAMI , vol.28 , Issue.4 , pp. 594-611
    • Li, F.1    Fergus, R.2    Perona, P.3
  • 21
    • 70450186102 scopus 로고    scopus 로고
    • Object detection using a max-margin hough tranform
    • S. Maji and J. Malik. Object detection using a max-margin hough tranform. In CVPR, 2009.
    • (2009) CVPR
    • Maji, S.1    Malik, J.2
  • 22
    • 77955999185 scopus 로고    scopus 로고
    • Constructing category hierarchies for visual recognition
    • M. Marszałek and C. Schmid. Constructing category hierarchies for visual recognition. In ECCV, 2008.
    • (2008) ECCV
    • Marszałek, M.1    Schmid, C.2
  • 23
    • 33646393800 scopus 로고    scopus 로고
    • Semantic feature production norms for a large set of living and nonliving things
    • K. McRae, G. Cree, M. Seidenberg, and C. McNorgan. Semantic feature production norms for a large set of living and nonliving things. Behavior Research Methods, 37:547-559, 2005.
    • (2005) Behavior Research Methods , vol.37 , pp. 547-559
    • McRae, K.1    Cree, G.2    Seidenberg, M.3    McNorgan, C.4
  • 26
    • 0018323447 scopus 로고
    • An analysis system for scenes containing objects with substructures
    • Y. Ohta, T. Kanade, and T. Sakai. An analysis system for scenes containing objects with substructures. In IJCPR, pages 752-754, 1978.
    • (1978) IJCPR , pp. 752-754
    • Ohta, Y.1    Kanade, T.2    Sakai, T.3
  • 27
    • 33845573438 scopus 로고    scopus 로고
    • Incremental learning of object detectors using a visual shape alphabet
    • A. Opelt, A. Pinz, and A. Zisserman. Incremental learning of object detectors using a visual shape alphabet. In CVPR, 2006.
    • (2006) CVPR
    • Opelt, A.1    Pinz, A.2    Zisserman, A.3
  • 29
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • MIT Press
    • J. C. Platt. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In Advances in Large Margin Classifiers, pages 61-74. MIT Press, 2000.
    • (2000) Advances in Large Margin Classifiers , pp. 61-74
    • Platt, J.C.1
  • 32
    • 0001878659 scopus 로고
    • Machine perception of 3-D solids
    • L. Roberts. Machine perception of 3-D solids. In OEOIP, pages 159-197, 1965.
    • (1965) OEOIP , pp. 159-197
    • Roberts, L.1
  • 35
    • 77953222843 scopus 로고    scopus 로고
    • A shape-based object class model for knowledge transfer
    • M. Stark, M. Goesele, and B. Schiele. A shape-based object class model for knowledge transfer. In ICCV, 2009.
    • (2009) ICCV
    • Stark, M.1    Goesele, M.2    Schiele, B.3
  • 37
    • 24644445594 scopus 로고    scopus 로고
    • Contextual models for object detection using boosted random fields
    • A. Torralba, K. P. Murphy, and W. T. Freeman. Contextual models for object detection using boosted random fields. In NIPS. 2004.
    • (2004) NIPS
    • Torralba, A.1    Murphy, K.P.2    Freeman, W.T.3
  • 39
    • 35148895918 scopus 로고    scopus 로고
    • Compositional boosting for computing hierarchical image structures
    • T. F. Wu, G. S. Xia, and S. C. Zhu. Compositional boosting for computing hierarchical image structures. In CVPR, 2007.
    • (2007) CVPR
    • Wu, T.F.1    Xia, G.S.2    Zhu, S.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.