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- W2010132045 abstract "In order to detect the saliency part in the picture of nature scene, usually, bottom-up saliency models use several feature information such as color and orientation, each feature is taken to compute the saliency map respectively, then these saliency maps are linearly combined to a final saliency map. However, how to fuse these features are still a difficult problem, linearly combined is not appropriate to the human visual system, so in this paper we propose a nonlinear metric fusion strategy with different features namely cross diffusion, it fuse the metric from diverse features which can be used to detect the saliency more appropriate." @default.
- W2010132045 created "2016-06-24" @default.
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- W2010132045 date "2014-05-01" @default.
- W2010132045 modified "2023-10-17" @default.
- W2010132045 title "Saliency Detection through Nonlinear Metric Fusion" @default.
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- W2010132045 doi "https://doi.org/10.4028/www.scientific.net/amr.926-930.3692" @default.
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