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Learning Optimal Seeds for Diffusion-Based Salient Object Detection

CVPR, pp.2790-2797, (2014)

Cited: 144|Views51
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Abstract

In diffusion-based saliency detection, an image is partitioned into superpixels and mapped to a graph, with superpixels as nodes and edge strengths proportional to superpixel similarity. Saliency information is then propagated over the graph using a diffusion process, whose equilibrium state yields the object saliency map. The optimal sol...More

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