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Volumn 2016-December, Issue , 2016, Pages 1563-1572

Towards open set deep networks

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; PATTERN RECOGNITION; PROBABILITY;

EID: 84986325877     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2016.173     Document Type: Conference Paper
Times cited : (1641)

References (32)
  • 12
    • 84883488616 scopus 로고    scopus 로고
    • Metric learning for large scale image classification: Generalizing to new classes at near-zero cost
    • 4
    • T. Mensink, J. Verbeek, F. Perronnin, and G. Csurka. Metric learning for large scale image classification: Generalizing to new classes at near-zero cost. In ECCV, 2012.
    • (2012) ECCV
    • Mensink, T.1    Verbeek, J.2    Perronnin, F.3    Csurka, G.4
  • 17
    • 84911407562 scopus 로고    scopus 로고
    • Incremental learning of ncm forests for large scale image classification
    • 4, 5
    • M. Ristin, M. Guillaumin, J. Gall, and L. VanGool. Incremental learning of ncm forests for large scale image classification. CVPR, 2014.
    • (2014) CVPR
    • Ristin, M.1    Guillaumin, M.2    Gall, J.3    VanGool, L.4
  • 18
    • 85009847029 scopus 로고    scopus 로고
    • Known and unknown: A memoir
    • 1
    • D. Rumsfeld. Known and unknown: A memoir. Penguin, 2011.
    • (2011) Penguin
    • Rumsfeld, D.1
  • 21
    • 84906495357 scopus 로고    scopus 로고
    • Probability models for open set recognition
    • 1, 3, 6, 7
    • W. J. Scheirer, L. P. Jain, and T. E. Boult. Probability models for open set recognition. IEEE TPAMI, 36 (11): 2317-2324, 2014.
    • (2014) IEEE TPAMI , vol.36 , Issue.11 , pp. 2317-2324
    • Scheirer, W.J.1    Jain, L.P.2    Boult, T.E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.