메뉴 건너뛰기




Volumn , Issue , 2015, Pages

Deep Gaze I: Boosting saliency prediction with feature maps trained on ImageNet

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; OBJECT RECOGNITION;

EID: 85083953536     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (156)

References (29)
  • 1
    • 84886280179 scopus 로고    scopus 로고
    • Modelling fixation locations using spatial point processes
    • Barthelmé, Simon, Trukenbrod, Hans, Engbert, Ralf, and Wichmann, Felix. Modelling fixation locations using spatial point processes. Journal of Vision, 13(12), 2013. doi: 10.1167/13.12.1.
    • (2013) Journal of Vision , vol.13 , Issue.12
    • Barthelmé, S.1    Trukenbrod, H.2    Engbert, R.3    Wichmann, F.4
  • 3
    • 62649143331 scopus 로고    scopus 로고
    • Saliency, attention, and visual search: An information theoretic approach
    • Bruce, Neil DB and Tsotsos, John K. Saliency, attention, and visual search: An information theoretic approach. Journal of vision, 9(3), 2009.
    • (2009) Journal of Vision , vol.9 , Issue.3
    • Bruce, N.D.B.1    Tsotsos, J.K.2
  • 6
    • 85161958871 scopus 로고    scopus 로고
    • Predicting human gaze using low-level saliency combined with face detection
    • Platt, J.C., Koller, D., Singer, Y., and Roweis, S.T. eds, Curran Associates, Inc
    • Cerf, Moran, Harel, Jonathan, Einhaeuser, Wolfgang, and Koch, Christof. Predicting human gaze using low-level saliency combined with face detection. In Platt, J.C., Koller, D., Singer, Y., and Roweis, S.T. (eds.), Advances in Neural Information Processing Systems 20, pp. 241–248. Curran Associates, Inc., 2008. URL http://papers.nips.cc/paper/3169-predicting-human-gaze-using-low-level-saliency-combined-with-face-detection. pdf.
    • (2008) Advances in Neural Information Processing Systems , vol.20 , pp. 241-248
    • Cerf, M.1    Harel, J.2    Einhaeuser, W.3    Koch, C.4
  • 9
    • 84866928176 scopus 로고    scopus 로고
    • On the relationship between optical variability, visual saliency, and eye fixations: A computational approach
    • Garcia-Diaz, Antón, Leborán, Víctor, Fdez-Vidal, Xosé R, and Pardo, Xosé M. On the relationship between optical variability, visual saliency, and eye fixations: A computational approach. Journal of vision, 12(6):17, 2012.
    • (2012) Journal of Vision , vol.12 , Issue.6 , pp. 17
    • Garcia-Diaz, A.1    Leborán, V.2    Fdez-Vidal3    Xosé, R.4    Pardo, X.M.5
  • 10
    • 0032204063 scopus 로고    scopus 로고
    • A model of saliency-based visual attention for rapid scene analysis. Pattern analysis and machine intelligence
    • Itti, Laurent, Koch, Christof, and Niebur, Ernst. A model of saliency-based visual attention for rapid scene analysis. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 20(11): 1254–1259, 1998. doi: 10.1109/34.730558.
    • (1998) IEEE Transactions on , vol.20 , Issue.11 , pp. 1254-1259
    • Itti, L.1    Koch, C.2    Niebur, E.3
  • 15
    • 0347568777 scopus 로고    scopus 로고
    • Quantitative science and the definition of measurement in psychology
    • Michell, Joel. Quantitative science and the definition of measurement in psychology. British Journal of Psychology, 88(3):355–383, 1997.
    • (1997) British Journal of Psychology , vol.88 , Issue.3 , pp. 355-383
    • Michell, J.1
  • 18
    • 84878015694 scopus 로고    scopus 로고
    • Rare2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis
    • July
    • Riche, Nicolas, Mancas, Matei, Duvinage, Matthieu, Mibulumukini, Makiese, Gosselin, Bernard, and Dutoit, Thierry. RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis. Signal Processing: Image Communication, 28(6):642–658, July 2013. ISSN 09235965. doi: 10.1016/j.image.2013.03.009. URL http://linkinghub.elsevier.com/retrieve/pii/S0923596513000489.
    • (2013) Signal Processing: Image Communication , vol.28 , Issue.6 , pp. 642-658
    • Riche, N.1    Mancas, M.2    Duvinage, M.3    Mibulumukini, M.4    Gosselin, B.5    Dutoit, T.6
  • 19
    • 84933585162 scopus 로고    scopus 로고
    • Very deep convolutional networks for large-scale image recognition
    • Simonyan, Karen and Zisserman, Andrew. Very deep convolutional networks for large-scale image recognition. CoRR, abs/1409.1556, 2014. URL http://arxiv.org/abs/1409.1556.
    • (2014) CoRR
    • Simonyan, K.1    Zisserman, A.2
  • 23
    • 36448979181 scopus 로고    scopus 로고
    • The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions
    • Tatler, Benjamin W. The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions. Journal of Vision, 7(14):4, 2007. doi: 10.1167/7.14.4.
    • (2007) Journal of Vision , vol.7 , Issue.14 , pp. 4
    • Tatler, B.W.1
  • 24
    • 11144343233 scopus 로고    scopus 로고
    • Visual correlates of fixation selection: Effects of scale and time
    • URL http://www.sciencedirect.com/science/article/pii/S0042698904004626
    • Tatler, Benjamin W., Baddeley, Roland J., and Gilchrist, Iain D. Visual correlates of fixation selection: effects of scale and time. Vision Research, 45(5):643 – 659, 2005. ISSN 0042-6989. doi: http://dx.doi.org/10.1016/j.visres.2004.09.017. URL http://www.sciencedirect.com/science/article/pii/S0042698904004626.
    • (2005) Vision Research , vol.45 , Issue.5 , pp. 643-659
    • Tatler, B.W.1    Baddeley, R.J.2    Gilchrist, I.D.3
  • 29
    • 58149506125 scopus 로고    scopus 로고
    • SUN: A bayesian framework for saliency using natural statistics
    • Zhang, Lingyun, Tong, Matthew H, Marks, Tim K, Shan, Honghao, and Cottrell, Garrison W. Sun: A bayesian framework for saliency using natural statistics. Journal of Vision, 8(7), 2008.
    • (2008) Journal of Vision , vol.8 , Issue.7
    • Zhang, L.1    Tong, M.H.2    Marks, T.K.3    Shan, H.4    Cottrell, G.W.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.