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Volumn , Issue , 2010, Pages

Improving object classification using semantic attributes

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; SEMANTICS;

EID: 84898442236     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.24.26     Document Type: Conference Paper
Times cited : (24)

References (16)
  • 3
    • 34047174674 scopus 로고    scopus 로고
    • Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
    • L. Fei-Fei, R. Fergus, and P. Perona. Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories. Computer Vision and Image Understanding, 106(1), 2007.
    • (2007) Computer Vision and Image Understanding , vol.106 , Issue.1
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 16
    • 33846580425 scopus 로고    scopus 로고
    • Local features and kernels for classification of texture and object categories: A comprehensive study
    • J. Zhang, M. Marszałek, S. Lazebnik, and C. Schmid. Local features and kernels for classification of texture and object categories: a comprehensive study. International Journal of Computer Vision, 73(2), 2007.
    • (2007) International Journal of Computer Vision , vol.73 , Issue.2
    • Zhang, J.1    Marszałek, M.2    Lazebnik, S.3    Schmid, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.