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This paper presents a novel deep architecture for saliency prediction.
“How people look at pictures: a study of the psychology and perception in art.,”
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“Shifts in selective visual attention: towards the underlying neural circuitry,”
C. Koch and S. Ullman, · 1987
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“A model of saliency-based visual attention for rapid scene analysis,”
L. Itti, C. Koch, and E. Niebur, · 1998
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“Components of bottom-up gaze allocation in natural images,”
R. J. Peters, A. Iyer, L. Itti, and C. Koch, · 2005
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“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, · 2006
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“Graph-based visual saliency,”
J. Harel, C. Koch, and P. Perona, · 2006
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“Saliency detection: A spectral residual approach,”
X. Hou and L. Zhang, · 2007
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“The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions,”
B. W. Tatler, · 2007
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“Faces and text attract gaze independent of the task: Experimental data and computer model,”
M. Cerf, E. P. Frady, and C. Koch, · 2009
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“Learning to predict where humans look,”
T. Judd, K. Ehinger, F. Durand, and A. Torralba, · 2009
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“Understanding the difficulty of training deep feedforward neural networks,”
X. Glorot and Y. Bengio, · 2010
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“Imagenet classification with deep convolutional neural networks,”
A. Krizhevsky, I. Sutskever, and G. E. Hinton, · 2012
Cited alongside, same era.
“Context-aware saliency detection,”
S. Goferman, L. Zelnik-Manor, and A. Tal, · 2012
Cited alongside, same era.
“A benchmark of computational models of saliency to predict human fixations,”
T. Judd, F. Durand, and A. Torralba, · 2012
Cited alongside, same era.
“Hierarchical saliency detection,”
Q. Yan, L. Xu, J. Shi, and J. Jia, · 2013
Cited alongside, same era.
“Salient object detection: A discriminative regional feature integration approach,”
H. Jiang, J. Wang, Z. Yuan, Y. Wu, N. Zheng, and S. Li, · 2013
Cited alongside, same era.
“Rare2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis,”
N. Riche, M. Mancas, M. Duvinage, M. Mibulumukini, B. Gosselin, and T. Dutoit, · 2013
“Very deep convolutional networks for large-scale image recognition,”
K. Simonyan and A. Zisserman, · 2014
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“Microsoft coco: Common objects in context,”
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick, · 2014
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“Visual saliency based on multiscale deep features,”
G. Li and Y. Yu, · 2015
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“Fully convolutional networks for semantic segmentation,”
J. Long, E. Shelhamer, and T. Darrell, · 2015
Later among the works it cites.
“SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks,”
X. Huang, C. Shen, X. Boix, and Q. Zhao, · 2015
Later among the works it cites.
“DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations,”
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Cited alongside, same era.
“Saliency detection: A boolean map approach,”
J. Zhang and S. Sclaroff, · 2013
Cited alongside, same era.
“Saliency and human fixations: state-of-the-art and study of comparison metrics,”
N. Riche, M. Duvinage, M. Mancas, B. Gosselin, and T. Dutoit, · 2013
Cited alongside, same era.
“Large-scale optimization of hierarchical features for saliency prediction in natural images,”
E. Vig, M. Dorr, and D. Cox, · 2014
Cited alongside, same era.
“Deep Gaze I: Boosting saliency prediction with feature maps trained on ImageNet,”
M. Kümmerer, L. Theis, and M. Bethge, · 2014
Cited alongside, same era.
“Mit saliency benchmark,” http://saliency.mit.edu/
Z. Bylinskii, T. Judd, A. Borji, L. Itti, F. Durand, A. Oliva, and A. Torralba,
Cited in the paper.
S. S. Kruthiventi, K. Ayush, and R. V. Babu, · 2015
Later among the works it cites.
“Going deeper with convolutions,”
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich, · 2015
Later among the works it cites.
“Predicting eye fixations using convolutional neural networks,”
N. Liu, J. Han, D. Zhang, S. Wen, and T. Liu, · 2015
Later among the works it cites.
“Salicon: Saliency in context,”
M. Jiang, S. Huang, J. Duan, and Q. Zhao, · 2015
Later among the works it cites.
“Shallow and Deep Convolutional Networks for Saliency Prediction,”
J. Pan, K. McGuinness, S. E., N. O’Connor, and X. Giró-i Nieto, · 2016
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