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Volumn 50, Issue 22, 2010, Pages 2295-2307

Biologically plausible saliency mechanisms improve feedforward object recognition

Author keywords

Biologically plausible recognition; Discriminant saliency; HMAX; Neural models; Object recognition; Visual attention

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATTENTION; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; CONTROLLED STUDY; IMAGE PROCESSING; INFORMATION PROCESSING; POSITIVE FEEDBACK; PRIORITY JOURNAL; RADIAL BASED FUNCTION; VISUAL INFORMATION;

EID: 77957749796     PISSN: 00426989     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.visres.2010.05.034     Document Type: Article
Times cited : (61)

References (42)
  • 1
  • 6
    • 0030780094 scopus 로고    scopus 로고
    • Linearity and normalization in simple cells of the macaque primary visual cortex
    • Carandini M., Heeger D., Movshon A. Linearity and normalization in simple cells of the macaque primary visual cortex. Journal of Neuroscience 1997, 17:8621-8644.
    • (1997) Journal of Neuroscience , vol.17 , pp. 8621-8644
    • Carandini, M.1    Heeger, D.2    Movshon, A.3
  • 7
    • 0036474679 scopus 로고    scopus 로고
    • Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance
    • Do M., Vetterli M.m. Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance. IEEE Transactions on Image Processing 2002, 11(2):146-158.
    • (2002) IEEE Transactions on Image Processing , vol.11 , Issue.2 , pp. 146-158
    • Do, M.1    Vetterli, M.2
  • 11
    • 59149084015 scopus 로고    scopus 로고
    • Decision-theoretic saliency:computational principles, biological plausibility, and implications for neurophysiology and psychophysics
    • Gao D., Vasconcelos N. Decision-theoretic saliency:computational principles, biological plausibility, and implications for neurophysiology and psychophysics. Neural Computation 2009, 21.
    • (2009) Neural Computation , vol.21
    • Gao, D.1    Vasconcelos, N.2
  • 12
    • 77957754530 scopus 로고    scopus 로고
    • On feature combination for multiclass object classification. In International conference on computer vision.
    • Gehler, P., & Nowozin, S. (2009). On feature combination for multiclass object classification. In International conference on computer vision.
    • (2009)
    • Gehler, P.1    Nowozin, S.2
  • 13
    • 77957749605 scopus 로고
    • A combined corner and edge detector. In Alvey vision conference.
    • Harris, C., & Stephens, M. (1988). A combined corner and edge detector. In Alvey vision conference.
    • (1988)
    • Harris, C.1    Stephens, M.2
  • 15
    • 0026904517 scopus 로고
    • Normalization of cell responses in cat striate cortex
    • Heeger D. Normalization of cell responses in cat striate cortex. Visual Neuroscience 1992, 9.
    • (1992) Visual Neuroscience , vol.9
    • Heeger, D.1
  • 16
    • 0032681789 scopus 로고    scopus 로고
    • Statistics of natural images and models. In Computer vision and pattern recognition.
    • Huang, J., & Mumford, D. (1999). Statistics of natural images and models. In Computer vision and pattern recognition.
    • (1999)
    • Huang, J.1    Mumford, D.2
  • 17
    • 33645410496 scopus 로고
    • Receptive field, binocular interaction, and functional architecture of in the Cat's visual cortex
    • Hubel D., Wiesel T. Receptive field, binocular interaction, and functional architecture of in the Cat's visual cortex. Journal of Physiology 1962, 160.
    • (1962) Journal of Physiology , vol.160
    • Hubel, D.1    Wiesel, T.2
  • 19
    • 77953183471 scopus 로고    scopus 로고
    • What is the best multi-stage architecture for object recognition? In International conference on computer vision.
    • Jarrett, K., Kavukcuoglu, K., Ranzato, M., & LeCun, Y. (2009). What is the best multi-stage architecture for object recognition? In International conference on computer vision.
    • (2009)
    • Jarrett, K.1    Kavukcuoglu, K.2    Ranzato, M.3    LeCun, Y.4
  • 21
    • 33845572523 scopus 로고    scopus 로고
    • Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In Computer vision and pattern recognition, June 2006.
    • Lazebnik, S., Schmid, C., & Ponce, J. (2006). Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In Computer vision and pattern recognition, June 2006.
    • (2006)
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 22
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition. Proceedings of the IEEE.
    • Lecun, Y., Bottou, L., Bengio, Y., & Haffiner, P. (1998). Gradient-based learning applied to document recognition. Proceedings of the IEEE.
    • (1998)
    • Lecun, Y.1    Bottou, L.2    Bengio, Y.3    Haffiner, P.4
  • 23
    • 0023981750 scopus 로고
    • Self-organization in a perceptual Network
    • Linsker R. Self-organization in a perceptual Network. IEEE Computer 1988, 21(3):105-117.
    • (1988) IEEE Computer , vol.21 , Issue.3 , pp. 105-117
    • Linsker, R.1
  • 25
    • 0035763352 scopus 로고    scopus 로고
    • Neuromorphic algorithms for computer vision and attention. In Proceedings of SPIE 46 annual international symposium on optical science and technology
    • Miau, K., Papageorgiou, C., & Itti, L. (2001). Neuromorphic algorithms for computer vision and attention. In Proceedings of SPIE 46 annual international symposium on optical science and technology (Vol. 4479, pp. 12-23).
    • (2001) , vol.4479 , pp. 12-23
    • Miau, K.1    Papageorgiou, C.2    Itti, L.3
  • 27
    • 51149092609 scopus 로고    scopus 로고
    • Object class recognition and localization using sparse features with limited receptive fields
    • Mutch J., Lowe D. Object class recognition and localization using sparse features with limited receptive fields. International Journal of Computer Vision 2008, 80:45-57.
    • (2008) International Journal of Computer Vision , vol.80 , pp. 45-57
    • Mutch, J.1    Lowe, D.2
  • 29
    • 73449129720 scopus 로고    scopus 로고
    • A high-throughput screening approach to discovering good forms of biologically-inspired visual representation
    • Pinto N., Doukhan D., DiCarlo J., Cox D. A high-throughput screening approach to discovering good forms of biologically-inspired visual representation. PLoS Computational Biology 2009, 5(11).
    • (2009) PLoS Computational Biology , vol.5 , Issue.11
    • Pinto, N.1    Doukhan, D.2    DiCarlo, J.3    Cox, D.4
  • 30
    • 0033316361 scopus 로고    scopus 로고
    • Hierarchical models of object recognition in cortex
    • Riesenhuber M., Poggio T. Hierarchical models of object recognition in cortex. Nature Neuroscience 1999, 2.
    • (1999) Nature Neuroscience , vol.2
    • Riesenhuber, M.1    Poggio, T.2
  • 31
    • 0033064434 scopus 로고    scopus 로고
    • A simple saliency model predicts a number of motion popout phenomena
    • Rosenholtz R. A simple saliency model predicts a number of motion popout phenomena. Vision Research 1999, 39:3157-3163.
    • (1999) Vision Research , vol.39 , pp. 3157-3163
    • Rosenholtz, R.1
  • 33
    • 0037233469 scopus 로고    scopus 로고
    • Comparing salient point detectors
    • Sebe N., Lew M. Comparing salient point detectors. Pattern Recognition Letters 2003, 24(Jan):89-96.
    • (2003) Pattern Recognition Letters , vol.24 , Issue.1 , pp. 89-96
    • Sebe, N.1    Lew, M.2
  • 36
    • 0029895137 scopus 로고    scopus 로고
    • Speed of processing in the human visual system
    • Thorpe S., Fize D., Marlot C. Speed of processing in the human visual system. Nature 1996, 381(6582):520-522.
    • (1996) Nature , vol.381 , Issue.6582 , pp. 520-522
    • Thorpe, S.1    Fize, D.2    Marlot, C.3
  • 37
    • 50649115912 scopus 로고    scopus 로고
    • Learning discriminative power-invariance trade-off. In International conference on computer vision.
    • Varma, M., & Ray, D. (2007). Learning discriminative power-invariance trade-off. In International conference on computer vision.
    • (2007)
    • Varma, M.1    Ray, D.2
  • 39
    • 33750684017 scopus 로고    scopus 로고
    • Modeling attention to salient proto-objects
    • Walther D., Koch C. Modeling attention to salient proto-objects. Neural Networks 2006, 19:1395-1407.
    • (2006) Neural Networks , vol.19 , pp. 1395-1407
    • Walther, D.1    Koch, C.2
  • 41
    • 33845566162 scopus 로고    scopus 로고
    • Svm-knn: Discriminative nearest neighbor classification for visual category recognition. In Computer vision and pattern recognition, June 2006.
    • Zhang, H., Berg, A., Maire, M., & Malik, J. (2006). Svm-knn: Discriminative nearest neighbor classification for visual category recognition. In Computer vision and pattern recognition, June 2006.
    • (2006)
    • Zhang, H.1    Berg, A.2    Maire, M.3    Malik, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.