2019
DOI: 10.1109/access.2019.2931921
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Learning a Deep Representative Saliency Map With Sparse Tensors

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Cited by 2 publications
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“…Over the past two decades, computational modeling of this intelligent behavior has been an emerging research topic, which has benefited a wide range of scientific and engineering fields [1]- [3]. In its early stage, the source of inspirations for visual saliency modeling mainly comes from biological cognition rules, such as local/global contrast, singularity/sparsity, shape/location prior, etc [4]- [7]. These models are artificial rule-based and generally have good theoretical interpretability.…”
Section: Introductionmentioning
confidence: 99%
“…Over the past two decades, computational modeling of this intelligent behavior has been an emerging research topic, which has benefited a wide range of scientific and engineering fields [1]- [3]. In its early stage, the source of inspirations for visual saliency modeling mainly comes from biological cognition rules, such as local/global contrast, singularity/sparsity, shape/location prior, etc [4]- [7]. These models are artificial rule-based and generally have good theoretical interpretability.…”
Section: Introductionmentioning
confidence: 99%