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公开(公告)号：US20170308770A1
公开(公告)日：2017-10-26
申请号：US15138821
申请日：2016-04-26
Applicant: Xerox Corporation
Inventor： Saumya Jetley , Naila Murray , Eleonora Vig
CPC classification number: G06K9/4671 , G06K9/0061 , G06K9/4628
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.
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公开(公告)号：US09830529B2
公开(公告)日：2017-11-28
申请号：US15138821
申请日：2016-04-26
Applicant: Xerox Corporation
Inventor： Saumya Jetley , Naila Murray , Eleonora Vig
CPC classification number: G06K9/4671 , G06K9/0061 , G06K9/4628
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.
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