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Volumn , Issue , 2011, Pages 1585-1592

Contextualizing object detection and classification

Author keywords

[No Author keywords available]

Indexed keywords

SUPPORT VECTOR MACHINES;

EID: 80052891624     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995330     Document Type: Conference Paper
Times cited : (154)

References (28)
  • 3
    • 33845595951 scopus 로고    scopus 로고
    • Animals on the web
    • T. Berg and D. Forsyth. Animals on the web. In CVPR, 2006.
    • (2006) CVPR
    • Berg, T.1    Forsyth, D.2
  • 4
    • 0000299922 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Discov.
    • Data Min. Knowl. Discov.
    • Burges, C.J.C.1
  • 5
    • 24144486461 scopus 로고    scopus 로고
    • A statistical model for general contextual object recognition
    • P. Carbonetto, N. Freitas, and K. Barnard. A statistical model for general contextual object recognition. In ECCV, 2004.
    • (2004) ECCV
    • Carbonetto, P.1    Freitas, N.2    Barnard, K.3
  • 6
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
    • (2005) CVPR
    • Dalal, N.1    Triggs, B.2
  • 7
    • 77953180995 scopus 로고    scopus 로고
    • Discriminative models for multi-class object layout
    • C. Desai, D. Ramanan, and C. Fowlkes. Discriminative models for multi-class object layout. In ICCV, 2009.
    • (2009) ICCV
    • Desai, C.1    Ramanan, D.2    Fowlkes, C.3
  • 11
    • 77953202990 scopus 로고    scopus 로고
    • Combining efficient object localization and image classification
    • H. Harzallah, F. Jurie, and C. Schmid. Combining efficient object localization and image classification. In ICCV, 2009.
    • (2009) ICCV
    • Harzallah, H.1    Jurie, F.2    Schmid, C.3
  • 13
    • 33745848658 scopus 로고    scopus 로고
    • A hierarchical field framework for unified contextbased classification
    • S. Kumar and M. Hebert. A hierarchical field framework for unified contextbased classification. In ICCV, 2005.
    • (2005) ICCV
    • Kumar, S.1    Hebert, M.2
  • 14
    • 77956006653 scopus 로고    scopus 로고
    • Multimodal semi-supervised learning for image classification
    • S. Kumar and M. Hebert. Multimodal semi-supervised learning for image classification. In CVPR, 2010.
    • (2010) CVPR
    • Kumar, S.1    Hebert, M.2
  • 15
    • 36848999243 scopus 로고    scopus 로고
    • Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
    • S. Lazebnik, C. Schmid, and J. Ponce. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. In CVPR.
    • CVPR
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 16
    • 80052893704 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
    • F.-F. Li, R. Fergus, and P. Perona. Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories. CVIU.
    • CVIU.
    • Li, F.-F.1    Fergus, R.2    Perona, P.3
  • 17
    • 34948904828 scopus 로고    scopus 로고
    • Caltech-256 object category dataset
    • California Institute of Technology
    • G. Griffin, A. Holub, and P. Perona. Caltech-256 Object Category Dataset. Technical Report 7694, California Institute of Technology, 2007.
    • (2007) Technical Report 7694
    • Griffin, G.1    Holub, A.2    Perona, P.3
  • 18
    • 80052908359 scopus 로고    scopus 로고
    • A bayesian hierarchical model for learning natural scene categories
    • F.-F. Li and P. Perona. A bayesian hierarchical model for learning natural scene categories. In CVPR.
    • CVPR.
    • Li, F.-F.1    Perona, P.2
  • 20
    • 80052912094 scopus 로고
    • A comparative study of texture measures with classification based on feature distributions
    • T. Ojala, M. Pietikainen, and D. Harwood. A comparative study of texture measures with classification based on feature distributions. Pattern Recognition, 1995.
    • (1995) Pattern Recognition
    • Ojala, T.1    Pietikainen, M.2    Harwood, D.3
  • 21
    • 77956001181 scopus 로고    scopus 로고
    • Evaluating color descriptors for object and scene recognition
    • K. Sande, T. Gevers, and C. Snoek. Evaluating color descriptors for object and scene recognition. TPAMI.
    • TPAMI.
    • Sande, K.1    Gevers, T.2    Snoek, C.3
  • 23
    • 0037500818 scopus 로고    scopus 로고
    • Contextual priming for object detection
    • A. Torralba. Contextual priming for object detection. IJCV, 2003.
    • (2003) IJCV
    • Torralba, A.1
  • 24
    • 33744510605 scopus 로고    scopus 로고
    • A critical view of context
    • L. Wolf and S. Bileschi. A critical view of context. IJCV, 2006.
    • (2006) IJCV
    • Wolf, L.1    Bileschi, S.2
  • 25
    • 77955988492 scopus 로고    scopus 로고
    • Modeling mutual context of object and human pose in human-object interaction activities
    • B. Yao and F.-F. Li. Modeling mutual context of object and human pose in human-object interaction activities. In CVPR, 2010.
    • (2010) CVPR
    • Yao, B.1    Li, F.-F.2
  • 26
    • 80052886214 scopus 로고    scopus 로고
    • Image classification using supervector coding of local image descriptors
    • X. Zhou, K. Yu, T. Zhang, and T. Huang. Image classification using supervector coding of local image descriptors. In ECCV, 2010.
    • (2010) ECCV
    • Zhou, X.1    Yu, K.2    Zhang, T.3    Huang, T.4
  • 27
    • 77955986466 scopus 로고    scopus 로고
    • Latent hierarchical structural learning for object detection
    • L. Zhu, Y. Chen, A. Yuille, and W. Freeman. Latent hierarchical structural learning for object detection. In CVPR, 2010.
    • (2010) CVPR
    • Zhu, L.1    Chen, Y.2    Yuille, A.3    Freeman, W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.