End-to-end saliency mapping via probability distribution prediction

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United States of America Patent

PATENT NO 9830529
SERIAL NO

15138821

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Abstract

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A method for generating a system for predicting saliency in an image and method of use of the prediction system are described. Attention maps for each of a set of training images are used to train the system. The training includes passing the training images though a neural network and optimizing an objective function over the training set which is based on a distance measure computed between a first probability distribution computed for a saliency map output by the neural network and a second probability distribution computed for the attention map for the respective training image. The trained neural network is suited to generation of saliency maps for new images.

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Patent Owner(s)

  • XEROX CORPORATION

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Jetley, Saumya Oxford, GB 1 64
Murray, Naila Grenoble, FR 14 350
Vig, Eleonora Munich, DE 8 139

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