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Volumn , Issue , 2013, Pages 2118-2125

Exploiting domain knowledge for Object Discovery

Author keywords

[No Author keywords available]

Indexed keywords

DOMAIN KNOWLEDGE; GRAPH-BASED; HUMAN ENVIRONMENT; LONG-TERM GOALS; NEW SOURCES; OPTIMIZED IMPLEMENTATION; PROCESSING TIME; ROBOTIC AGENTS;

EID: 84887290717     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2013.6630861     Document Type: Conference Paper
Times cited : (19)

References (19)
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  • 3
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    • Fast and bottom-up object detection, segmentation, and evaluation using gestalt principles
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    • Kootstra, G.1    Kragic, D.2
  • 6
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    • Toward object discovery and modeling via 3-d scene comparison
    • E. Herbst, P. Henry, X. Ren, and D. Fox, "Toward Object Discovery and Modeling via 3-D Scene Comparison," in ICRA. IEEE, 2011.
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    • Herbst, E.1    Henry, P.2    Ren, X.3    Fox, D.4
  • 7
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    • Discovering object instances from scenes of daily living
    • H. Kang, M. Hebert, and T. Kanade, "Discovering Object Instances from Scenes of Daily Living," in ICCV, 2011.
    • (2011) ICCV
    • Kang, H.1    Hebert, M.2    Kanade, T.3
  • 8
    • 84887274646 scopus 로고    scopus 로고
    • Using multiple segmentations to discover objects and their extent in image collections
    • B. C. Russell, W. T. Freeman, A. A. Efros, J. Sivic, and A. Zisserman, "Using Multiple Segmentations to Discover Objects and their Extent in Image Collections," in CVPR. IEEE, 2006.
    • (2006) CVPR. IEEE
    • Russell, B.C.1    Freeman, W.T.2    Efros, A.A.3    Sivic, J.4    Zisserman, A.5
  • 9
    • 84864136371 scopus 로고    scopus 로고
    • Structure discovery in multi-modal data : A region-based approach
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  • 10
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  • 12
    • 80052657842 scopus 로고    scopus 로고
    • Geometric latent dirichlet allocation on a matching graph for large-scale image datasets
    • Jun
    • J. Philbin, J. Sivic, and A. Zisserman, "Geometric Latent Dirichlet Allocation on a Matching Graph for Large-scale Image Datasets," IJCV, vol. 95, no. 2, pp. 138-153, Jun. 2010.
    • (2010) IJCV , vol.95 , Issue.2 , pp. 138-153
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  • 13
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  • 15
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  • 16
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  • 17
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  • 18
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    • May
    • R. B. Rusu, N. Blodow, and M. Beetz, "Fast Point Feature Histograms (FPFH) for 3D registration," ICRA, pp. 3212-3217, May 2009.
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  • 19
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    • Unsupervised object discovery: A comparison
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    • T. Tuytelaars, C. H. Lampert, M. B. Blaschko, and W. Buntine, "Unsupervised Object Discovery: A Comparison," IJCV, vol. 88, no. 2, pp. 284-302, Jul. 2009
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.