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- W2734912955 abstract "Saliency detection plays an important role in computer vision. This paper proposes a saliency detection algorithm which is based on multi-cue and multi-scale with cellular automata. The algorithm constructs a background-based map at first and optimizes it with an automatic updating mechanism — single-layer cellular automata. Furthermore, two important visual cues, focusness and objectness, are added to evaluate saliency in different perspectives. In addition, multi-scale is introduced to avoid the saliency results' sensitive to different scales and the output saliency map is generated by multi-layer fusion. Extensive experiments on three public datasets comparing with other state-of-the-art results demonstrate the superior of the algorithm." @default.
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- W2734912955 date "2016-09-01" @default.
- W2734912955 modified "2023-09-23" @default.
- W2734912955 title "Saliency detection based on multi-cue and multi-scale with cellular automata" @default.
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- W2734912955 doi "https://doi.org/10.1109/icnidc.2016.7974563" @default.
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