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  • Patent number: 9830529
    Abstract: 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.
    Type: Grant
    Filed: April 26, 2016
    Date of Patent: November 28, 2017
    Assignee: XEROX CORPORATION
    Inventors: Saumya Jetley, Naila Murray, Eleonora Vig