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Here we present DeepGaze II, a model that predicts where people look in images.
“The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions”
Benjamin˜W Tatler · 2007
Earlier work this paper cites.
“Do We Look at Lights? Using Mixture Modelling to Distinguish between Low- and High-Level Factors in Natural Image Viewing”
Benjamin˜T Vincent et al · 2009
Earlier work this paper cites.
“Imagenet classification with deep convolutional neural networks”
Alex Krizhevsky, Ilya Sutskever and Geoffrey˜E Hinton · 2012
Earlier work this paper cites.
“Modelling fixation locations using spatial point processes”
Simon Barthelmé, Hans Trukenbrod, Ralf Engbert and Felix Wichmann · 2013
Earlier work this paper cites.
“Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods”
Jascha Sohl-Dickstein, Ben Poole and Surya Ganguli · 2013
Earlier work this paper cites.
“Caffe: Convolutional Architecture for Fast Feature Embedding”
Yangqing Jia et al · 2014
Earlier work this paper cites.
“Very Deep Convolutional Networks for Large-Scale Image Recognition”
Karen Simonyan and Andrew Zisserman · 2014
Cited alongside, same era.
“Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images”
Eleonora Vig, Michael Dorr and David Cox · 2014
Cited alongside, same era.
“A Neural Algorithm of Artistic Style”
Leon˜A. Gatys, Alexander˜S. Ecker and Matthias Bethge · 2015
Cited alongside, same era.
“SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks”
Xun Huang, Chengyao Shen, Xavier Boix and Qi Zhao · 2015
Cited alongside, same era.
“SALICON: Saliency in Context”
Ming Jiang, Shengsheng Huang, Juanyong Duan and Qi Zhao · 2015
Cited alongside, same era.
“DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations”
Srinivas˜S. Kruthiventi, Kumar Ayush and R.˜Venkatesh Babu · 2015
Later among the works it cites.
“Information-theoretic model comparison unifies saliency metrics”
Matthias K“”ummerer, Thomas S.˜A. Wallis and Matthias Bethge · 2015
Later among the works it cites.
“Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet”
Matthias Kümmerer, Lucas Theis and Matthias Bethge · 2015
Later among the works it cites.
“Theano: A Python framework for fast computation of mathematical expressions”
Rami Al-Rfou et al · 2016
Closest in time.
“End-to-End Saliency Mapping via Probability Distribution Prediction”
Saumya Jetley, Naila Murray and Eleonora Vig · 2016
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“MIT Saliency Benchmark”, http://saliency.mit.edu/
Zoya Bylinskii et al
Cited in the paper.
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