메뉴 건너뛰기




Volumn 0, Issue , 2016, Pages 3488-3493

A deep multi-level network for saliency prediction

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTION; FORECASTING; NEURAL NETWORKS; PATTERN RECOGNITION;

EID: 85017036429     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2016.7900174     Document Type: Conference Paper
Times cited : (383)

References (32)
  • 2
    • 0032204063 scopus 로고    scopus 로고
    • A model of saliency-based visual attention for rapid scene analysis
    • L. Itti, C. Koch, and E. Niebur, "A model of saliency-based visual attention for rapid scene analysis, " IEEE TPAMI, no. 11, pp. 1254-1259, 1998.
    • (1998) IEEE TPAMI , Issue.11 , pp. 1254-1259
    • Itti, L.1    Koch, C.2    Niebur, E.3
  • 3
    • 84959188465 scopus 로고    scopus 로고
    • Visual saliency based on multiscale deep features
    • G. Li and Y. Yu, "Visual saliency based on multiscale deep features, " in CVPR, 2015.
    • (2015) CVPR
    • Li, G.1    Yu, Y.2
  • 4
    • 84887322898 scopus 로고    scopus 로고
    • Hierarchical saliency detection
    • Q. Yan, L. Xu, J. Shi, and J. Jia, "Hierarchical saliency detection, " in CVPR, 2013.
    • (2013) CVPR
    • Yan, Q.1    Xu, L.2    Shi, J.3    Jia, J.4
  • 5
    • 84887392014 scopus 로고    scopus 로고
    • Salient object detection: A discriminative regional feature integration approach
    • H. Jiang, J. Wang, Z. Yuan, Y. Wu, N. Zheng, and S. Li, "Salient object detection: A discriminative regional feature integration approach, " in CVPR, 2013.
    • (2013) CVPR
    • Jiang, H.1    Wang, J.2    Yuan, Z.3    Wu, Y.4    Zheng, N.5    Li, S.6
  • 6
    • 35148814949 scopus 로고    scopus 로고
    • Saliency detection: A spectral residual approach
    • X. Hou and L. Zhang, "Saliency detection: A spectral residual approach, " in CVPR, 2007.
    • (2007) CVPR
    • Hou, X.1    Zhang, L.2
  • 7
    • 77950357909 scopus 로고    scopus 로고
    • Faces and text attract gaze independent of the task: Experimental data and computer model
    • M. Cerf, E. P. Frady, and C. Koch, "Faces and text attract gaze independent of the task: Experimental data and computer model, " Journal of vision, vol. 9, no. 12, pp. 10-10, 2009.
    • (2009) Journal of Vision , vol.9 , Issue.12 , pp. 10
    • Cerf, M.1    Frady, E.P.2    Koch, C.3
  • 8
    • 84876231242 scopus 로고    scopus 로고
    • Imagenet classification with deep convolutional neural networks
    • A. Krizhevsky, I. Sutskever, and G. E. Hinton, "Imagenet classification with deep convolutional neural networks, " in ANIPS, 2012, pp. 1097-1105.
    • (2012) ANIPS , pp. 1097-1105
    • Krizhevsky, A.1    Sutskever, I.2    Hinton, G.E.3
  • 9
    • 84959205572 scopus 로고    scopus 로고
    • Fully convolutional networks for semantic segmentation
    • J. Long, E. Shelhamer, and T. Darrell, "Fully convolutional networks for semantic segmentation, " in CVPR, 2015.
    • (2015) CVPR
    • Long, J.1    Shelhamer, E.2    Darrell, T.3
  • 10
    • 84911369162 scopus 로고    scopus 로고
    • Large-scale optimization of hierarchical features for saliency prediction in natural images
    • E. Vig, M. Dorr, and D. Cox, "Large-scale optimization of hierarchical features for saliency prediction in natural images, " in CVPR, 2014.
    • (2014) CVPR
    • Vig, E.1    Dorr, M.2    Cox, D.3
  • 12
    • 84973923049 scopus 로고    scopus 로고
    • SALICON: Reducing the semantic gap in saliency prediction by adapting deep neural networks
    • X. Huang, C. Shen, X. Boix, and Q. Zhao, "SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks, " in ICCV, 2015.
    • (2015) ICCV
    • Huang, X.1    Shen, C.2    Boix, X.3    Zhao, Q.4
  • 14
    • 85021246150 scopus 로고    scopus 로고
    • Shallow and deep convolutional networks for saliency prediction
    • J. Pan, K. McGuinness, S. E., N. O'Connor, and X. Giró-i Nieto, "Shallow and Deep Convolutional Networks for Saliency Prediction, " in CVPR, 2016.
    • (2016) CVPR
    • Pan, J.1    McGuinness, S.E.K.2    O'Connor, N.3    Giró-I Nieto, X.4
  • 15
    • 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
    • B. W. Tatler, "The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions, " Journal of Vision, vol. 7, no. 14, pp. 4-4, 2007.
    • (2007) Journal of Vision , vol.7 , Issue.14 , pp. 4
    • Tatler, B.W.1
  • 16
    • 0003153058 scopus 로고
    • Shifts in selective visual attention: Towards the underlying neural circuitry
    • Springer
    • C. Koch and S. Ullman, "Shifts in selective visual attention: towards the underlying neural circuitry, " in Matters of intelligence, pp. 115-141. Springer, 1987.
    • (1987) Matters of Intelligence , pp. 115-141
    • Koch, C.1    Ullman, S.2
  • 17
    • 33750341577 scopus 로고    scopus 로고
    • Contextual guidance of eye movements and attention in real-world scenes: The role of global features in object search
    • A. Torralba, A. Oliva, M. S. Castelhano, and J. M. Henderson, "Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search, " Psychological review, vol. 113, no. 4, pp. 766, 2006.
    • (2006) Psychological Review , vol.113 , Issue.4 , pp. 766
    • Torralba, A.1    Oliva, A.2    Castelhano, M.S.3    Henderson, J.M.4
  • 18
    • 84865331032 scopus 로고    scopus 로고
    • Context-aware saliency detection
    • S. Goferman, L. Zelnik-Manor, and A. Tal, "Context-aware saliency detection, " IEEE TPAMI, vol. 34, no. 10, pp. 1915-1926, 2012.
    • (2012) IEEE TPAMI , vol.34 , Issue.10 , pp. 1915-1926
    • Goferman, S.1    Zelnik-Manor, L.2    Tal, A.3
  • 22
    • 84946554818 scopus 로고    scopus 로고
    • Predicting eye fixations using convolutional neural networks
    • N. Liu, J. Han, D. Zhang, S. Wen, and T. Liu, "Predicting eye fixations using convolutional neural networks, " in CVPR, 2015.
    • (2015) CVPR
    • Liu, N.1    Han, J.2    Zhang, D.3    Wen, S.4    Liu, T.5
  • 26
    • 84898819857 scopus 로고    scopus 로고
    • Saliency detection: A boolean map approach
    • J. Zhang and S. Sclaroff, "Saliency detection: A boolean map approach, " in ICCV, 2013.
    • (2013) ICCV
    • Zhang, J.1    Sclaroff, S.2
  • 27
    • 84864037603 scopus 로고    scopus 로고
    • Graph-based visual saliency
    • J. Harel, C. Koch, and P. Perona, "Graph-based visual saliency, " in ANIPS, 2006, pp. 545-552.
    • (2006) ANIPS , pp. 545-552
    • Harel, J.1    Koch, C.2    Perona, P.3
  • 28
    • 84878629490 scopus 로고    scopus 로고
    • A benchmark of computational models of saliency to predict human fixations
    • T. Judd, F. Durand, and A. Torralba, "A benchmark of computational models of saliency to predict human fixations, " in MIT Technical Report, 2012.
    • (2012) Mit Technical Report
    • Judd, T.1    Durand, F.2    Torralba, A.3
  • 31
    • 84898774374 scopus 로고    scopus 로고
    • Saliency and human fixations: State-of-the-art and study of comparison metrics
    • N. Riche, M. Duvinage, M. Mancas, B. Gosselin, and T. Dutoit, "Saliency and human fixations: state-of-the-art and study of comparison metrics, " in ICCV, 2013.
    • (2013) ICCV
    • Riche, N.1    Duvinage, M.2    Mancas, M.3    Gosselin, B.4    Dutoit, T.5
  • 32
    • 20544446875 scopus 로고    scopus 로고
    • Components of bottom-up gaze allocation in natural images
    • R. J. Peters, A. Iyer, L. Itti, and C. Koch, "Components of bottom-up gaze allocation in natural images, " Vision research, vol. 45, no. 18, pp. 2397-2416, 2005.
    • (2005) Vision Research , vol.45 , Issue.18 , pp. 2397-2416
    • Peters, R.J.1    Iyer, A.2    Itti, L.3    Koch, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.