메뉴 건너뛰기




Volumn 2015-January, Issue , 2015, Pages 289-297

Learning visual biases from human imagination

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; INFORMATION SCIENCE; OBJECT RECOGNITION;

EID: 84965169527     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (20)

References (37)
  • 3
    • 84856675275 scopus 로고    scopus 로고
    • Tabula rasa: Model transfer for object category detection
    • Y. Aytar and A. Zisserman. Tabula rasa: Model transfer for object category detection. In ICCV, 2011.
    • (2011) ICCV
    • Aytar, Y.1    Zisserman, A.2
  • 4
    • 85076741803 scopus 로고    scopus 로고
    • A technique to extract relevant image features for visual tasks
    • B. L. Beard and A. J. Ahumada Jr. A technique to extract relevant image features for visual tasks. In SPIE, 1998.
    • (1998) SPIE
    • Beard, B.L.1    Ahumada, A.J.2
  • 8
    • 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
  • 10
    • 0036977777 scopus 로고    scopus 로고
    • Classification images: A tool to analyze visual strategies
    • M. P. Eckstein and A. J. Ahumada. Classification images: A tool to analyze visual strategies. Journal of Vision, 2002.
    • (2002) Journal of Vision
    • Eckstein, M.P.1    Ahumada, A.J.2
  • 12
    • 33750703019 scopus 로고    scopus 로고
    • Rotational prior knowledge for svms
    • A. Epshteyn and G. De Jong. Rotational prior knowledge for svms. In ECML. 2005.
    • (2005) ECML
    • Epshteyn, A.1    De Jong, G.2
  • 14
    • 33144466753 scopus 로고    scopus 로고
    • One-shot learning of object categories
    • L. Fei-Fei, R. Fergus, and P. Perona. One-shot learning of object categories. PAMI, 2006.
    • (2006) PAMI
    • Fei-Fei, L.1    Fergus, R.2    Perona, P.3
  • 15
    • 65549145185 scopus 로고    scopus 로고
    • A statistical framework for image category search from a mental picture
    • M. Ferecatu and D. Geman. A statistical framework for image category search from a mental picture. PAMI, 2009.
    • (2009) PAMI
    • Ferecatu, M.1    Geman, D.2
  • 16
    • 0142023191 scopus 로고    scopus 로고
    • Superstitious perceptions reveal properties of internal representations
    • F. Gosselin and P. G. Schyns. Superstitious perceptions reveal properties of internal representations. Psychological Science, 2003.
    • (2003) Psychological Science
    • Gosselin, F.1    Schyns, P.G.2
  • 19
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • A. Krizhevsky, I. Sutskever, and G. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012.
    • (2012) NIPS
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.3
  • 20
    • 80052895155 scopus 로고    scopus 로고
    • What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
    • B. Kulis, K. Saenko, and T. Darrell. What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. In CVPR, pages 1785-1792, 2011.
    • (2011) CVPR , pp. 1785-1792
    • Kulis, B.1    Saenko, K.2    Darrell, T.3
  • 21
    • 79953740433 scopus 로고    scopus 로고
    • Concise formulas for the area and volume of a hyperspherical cap
    • S. Li. Concise formulas for the area and volume of a hyperspherical cap. Asian Journal of Mathematics and Statistics, 2011.
    • (2011) Asian Journal of Mathematics and Statistics
    • Li, S.1
  • 22
    • 84959213675 scopus 로고    scopus 로고
    • Understanding deep image representations by inverting them
    • A. Mahendran and A. Vedaldi. Understanding deep image representations by inverting them. CVPR, 2015.
    • (2015) CVPR
    • Mahendran, A.1    Vedaldi, A.2
  • 23
    • 1842606508 scopus 로고    scopus 로고
    • Making the ineffable explicit: Estimating the information employed for face classifications
    • M. C. Mangini and I. Biederman. Making the ineffable explicit: Estimating the information employed for face classifications. Cognitive Science, 2004.
    • (2004) Cognitive Science
    • Mangini, M.C.1    Biederman, I.2
  • 24
    • 84877751270 scopus 로고    scopus 로고
    • Learning about canonical views from internet image collections
    • E. Mezuman and Y. Weiss. Learning about canonical views from internet image collections. In NIPS, 2012.
    • (2012) NIPS
    • Mezuman, E.1    Weiss, Y.2
  • 25
    • 80051741407 scopus 로고    scopus 로고
    • Classification images: A review
    • R. F. Murray. Classification images: A review. Journal of Vision, 2011.
    • (2011) Journal of Vision
    • Murray, R.F.1
  • 29
    • 80052905403 scopus 로고    scopus 로고
    • Learning to share visual appearance for multiclass object detection
    • R. Salakhutdinov, A. Torralba, and J. Tenenbaum. Learning to share visual appearance for multiclass object detection. In CVPR, 2011.
    • (2011) CVPR
    • Salakhutdinov, R.1    Torralba, A.2    Tenenbaum, J.3
  • 30
    • 1842536917 scopus 로고    scopus 로고
    • Inversion leads to quantitative, not qualitative, changes in face processing
    • A. B. Sekuler, C. M. Gaspar, J. M. Gold, and P. J. Bennett. Inversion leads to quantitative, not qualitative, changes in face processing. Current Biology, 2004.
    • (2004) Current Biology
    • Sekuler, A.B.1    Gaspar, C.M.2    Gold, J.M.3    Bennett, P.J.4
  • 31
    • 52049123532 scopus 로고    scopus 로고
    • Utility data annotation with amazon mechanical turk
    • A. Sorokin and D. Forsyth. Utility data annotation with amazon mechanical turk. In CVPR Workshops, 2008.
    • (2008) CVPR Workshops
    • Sorokin, A.1    Forsyth, D.2
  • 32
    • 84881046414 scopus 로고    scopus 로고
    • Unbiased look at dataset bias
    • A. Torralba and A. Efros. Unbiased look at dataset bias. In CVPR.
    • CVPR
    • Torralba, A.1    Efros, A.2
  • 33
    • 80052905596 scopus 로고    scopus 로고
    • Large-scale live active learning: Training object detectors with crawled data and crowds
    • S. Vijayanarasimhan and K. Grauman. Large-scale live active learning: Training object detectors with crawled data and crowds. In CVPR, 2011.
    • (2011) CVPR
    • Vijayanarasimhan, S.1    Grauman, K.2
  • 34
  • 36
    • 80052871372 scopus 로고    scopus 로고
    • Reconstructing an image from its local descriptors
    • P. Weinzaepfel, H. Jégou, and P. Pérez. Reconstructing an image from its local descriptors. In CVPR, 2011.
    • (2011) CVPR
    • Weinzaepfel, P.1    Jégou, H.2    Pérez, P.3
  • 37
    • 49549114434 scopus 로고    scopus 로고
    • Adapting SVM classifiers to data with shifted distributions
    • J. Yang, R. Yan, and A. G. Hauptmann. Adapting svm classifiers to data with shifted distributions. In ICDM Workshops, 2007.
    • (2007) ICDM Workshops
    • Yang, J.1    Yan, R.2    Hauptmann, A.G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.