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Volumn 1, Issue January, 2014, Pages 487-495

Learning deep features for scene recognition using places database

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; INFORMATION SCIENCE; NEURAL NETWORKS;

EID: 84937964578     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2906)

References (25)
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    • P. Agrawal, R. Girshick, and J. Malik. Analyzing the performance of multilayer neural networks for object recognition. In Proc. ECCV. 2014.
    • (2014) Proc. ECCV
    • Agrawal, P.1    Girshick, R.2    Malik, J.3
  • 7
    • 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, 2007.
    • (2007) Computer Vision and Image Understanding
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 11
    • 78649548493 scopus 로고    scopus 로고
    • Scene memory is more detailed than you think: The role of categories in visual long-term memory
    • T. Konkle, T. F. Brady, G. A. Alvarez, and A. Oliva. Scene memory is more detailed than you think: the role of categories in visual long-term memory. Psych Science, 2010.
    • (2010) Psych Science
    • Konkle, T.1    Brady, T.F.2    Alvarez, G.A.3    Oliva, A.4
  • 13
    • 33845572523 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 Proc. CVPR, 2006.
    • (2006) Proc. CVPR
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 15
    • 50649103674 scopus 로고    scopus 로고
    • What, where and who? Classifying events by scene and object recognition
    • L.-J. Li and L. Fei-Fei. What, where and who? classifying events by scene and object recognition. In Proc. ICCV, 2007.
    • (2007) Proc. ICCV
    • Li, L.-J.1    Fei-Fei, L.2
  • 17
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the shape of the scene: A holistic representation of the spatial envelope
    • A. Oliva and A. Torralba. Modeling the shape of the scene: A holistic representation of the spatial envelope. Int'l Journal of Computer Vision, 2001.
    • (2001) Int'l Journal of Computer Vision
    • Oliva, A.1    Torralba, A.2
  • 18
    • 84866637964 scopus 로고    scopus 로고
    • Sun attribute database: Discovering, annotating, and recognizing scene attributes
    • G. Patterson and J. Hays. Sun attribute database: Discovering, annotating, and recognizing scene attributes. In Proc. CVPR, 2012.
    • (2012) Proc. CVPR
    • Patterson, G.1    Hays, J.2
  • 22
    • 0001072449 scopus 로고
    • Measurement of diversity
    • E. H. Simpson. Measurement of diversity. Nature, 1949.
    • (1949) Nature
    • Simpson, E.H.1
  • 25


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.