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2015

CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research

Borji, Ali, Itti, Laurent

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Understand

Saliency modeling has been an active research area in computer vision for about two decades.

Existing state of the art models perform very well in predicting where people look in natural scenes.
There is, however, the risk that these models may have been overfitting themselves to available small scale biased datasets, thus trapping the progress in a local minimum.
To gain a deeper insight regarding current issues in saliency modeling and to better gauge progress, we recorded eye movements of 120 observers while they freely viewed a large number of naturalistic and artificial images.

CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research · Around

Built on

A model of saliency-based visual attention for rapid scene analysis
L. Itti, C. Koch, and E. Niebur · 1998
Earlier work this paper cites.
Graph-based visual saliency
J. Harel, C. Koch, and P. Perona · 2006
Earlier work this paper cites.
Saliency detection: A spectral residual approach
X. Hou and L. Zhang · 2007
Earlier work this paper cites.
Fixations on low-resolution images
T. Judd, F. Durand, and A. Torralba · 2011
Earlier work this paper cites.

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Then

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