Fetching the paper…
Reading the bibliography…
Recent results suggest that state-of-the-art saliency models perform far from optimal in predicting fixations.
How people look at pictures
Buswell, Guy Thomas · 1935
Earlier work this paper cites.
Quantitative science and the definition of measurement in psychology
Michell, Joel · 1997
Earlier work this paper cites.
A model of saliency-based visual attention for rapid scene analysis
Itti, Laurent, Koch, Christof, and Niebur, Ernst · 1998
Earlier work this paper cites.
Visual correlates of fixation selection: effects of scale and time
Tatler, Benjamin W., Baddeley, Roland J., and Gilchrist, Iain D · 2004
Earlier work this paper cites.
The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions
Tatler, Benjamin W · 2007
Earlier work this paper cites.
Predicting human gaze using low-level saliency combined with face detection
Cerf, Moran, Harel, Jonathan, Einhaeuser, Wolfgang, and Koch, Christof · 2008
Earlier work this paper cites.
Sun: A bayesian framework for saliency using natural statistics
Zhang, Lingyun, Tong, Matthew H, Marks, Tim K, Shan, Honghao, and Cottrell, Garrison W · 2008
Earlier work this paper cites.
Saliency, attention, and visual search: An information theoretic approach
Bruce, Neil DB and Tsotsos, John K · 2009
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Deng, Jia, Dong, Wei, Socher, Richard, Li, Li-Jia, Li, Kai, and Fei-Fei, Li · 2009
Earlier work this paper cites.
Learning to predict where humans look
Judd, Tilke, Ehinger, Krista, Durand, Frédo, and Torralba, Antonio · 2009
Earlier work this paper cites.
Theano: a CPU and GPU math expression compiler
Bergstra, James, Breuleux, Olivier, Bastien, Frédéric, Lamblin, Pascal, Pascanu, Razvan, Desjardins, Guillaume, Turian, Joseph, Warde-Farley, David, and Bengio, Yoshua · 2010
Cited alongside, same era.
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 · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
Krizhevsky, Alex, Sutskever, Ilya, and Hinton, Geoffrey E · 2012
Cited alongside, same era.
Modelling fixation locations using spatial point processes
Barthelmé, Simon, Trukenbrod, Hans, Engbert, Ralf, and Wichmann, Felix · 2013
Cited alongside, same era.
Decaf: A deep convolutional activation feature for generic visual recognition
Donahue, Jeff, Jia, Yangqing, Vinyals, Oriol, Hoffman, Judy, Zhang, Ning, Tzeng, Eric, and Darrell, Trevor · 2013
Cited alongside, same era.
How close are we to understanding image-based saliency?
Kümmerer, M., Wallis, T., and Bethge, M · 2014
Closest in time.
Recurrent models of visual attention
Mnih, Volodymyr, Heess, Nicolas, Graves, Alex, et al · 2014
Closest in time.
Cnn features off-the-shelf: an astounding baseline for recognition
Razavian, Ali Sharif, Azizpour, Hossein, Sullivan, Josephine, and Carlsson, Stefan · 2014
Closest in time.
Very deep convolutional networks for large-scale image recognition
Simonyan, Karen and Zisserman, Andrew · 2014
Closest in time.
An adaptive low dimensional quasi-newton sum of functions optimizer
Sohl-Dickstein, Jascha, Poole, Ben, and Ganguli, Surya · 2014
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis
Riche, Nicolas, Mancas, Matei, Duvinage, Matthieu, Mibulumukini, Makiese, Gosselin, Bernard, and Dutoit, Thierry · 2013
Cited alongside, same era.
Visualizing and understanding convolutional neural networks
Zeiler, Matthew D and Fergus, Rob · 2013
Cited alongside, same era.
Saliency detection: a boolean map approach
Zhang, Jianming and Sclaroff, Stan · 2013
Cited alongside, same era.
Caffe: Convolutional architecture for fast feature embedding
Jia, Yangqing, Shelhamer, Evan, Donahue, Jeff, Karayev, Sergey, Long, Jonathan, Girshick, Ross, Guadarrama, Sergio, and Darrell, Trevor · 2014
Cited alongside, same era.
Mit saliency benchmark
Bylinskii, Zoya, Judd, Tilke, Durand, Frédo, Oliva, Aude, and Torralba, Antonio
Cited in the paper.
Szegedy, Christian, Liu, Wei, Jia, Yangqing, Sermanet, Pierre, Reed, Scott, Anguelov, Dragomir, Erhan, Dumitru, Vanhoucke, Vincent, and Rabinovich, Andrew · 2014
Closest in time.
Learning generative models with visual attention
Tang, Yichuan, Srivastava, Nitish, and Salakhutdinov, Ruslan R · 2014
Closest in time.
Large-scale optimization of hierarchical features for saliency prediction in natural images
Vig, Eleonora, Dorr, Michael, and Cox, David · 2014
Closest in time.
Performance-optimized hierarchical models predict neural responses in higher visual cortex
Yamins, Daniel LK, Hong, Ha, Cadieu, Charles F, Solomon, Ethan A, Seibert, Darren, and DiCarlo, James J · 2014
Closest in time.