A novel graph-based optimization framework for salient object detection

J Zhang, KA Ehinger, H Wei, K Zhang, J Yang - Pattern Recognition, 2017 - Elsevier
In traditional graph-based optimization framework for salient object detection, an image is
over-segmented into superpixels and mapped to one single graph. The saliency value of …
被引用次数：64 相关文章

A novel graph-based optimization framework for salient object detection

J Zhang, KA Ehinger, H Wei, K Zhang… - Pattern …, 2017 - ui.adsabs.harvard.edu
In traditional graph-based optimization framework for salient object detection, an image is
over-segmented into superpixels and mapped to one single graph. The saliency value of …

A novel graph-based optimization framework for salient object detection

J Zhang, KA Ehinger, H Wei, K Zhang, J Yang - Pattern Recognition, 2017 - dl.acm.org
In traditional graph-based optimization framework for salient object detection, an image is
over-segmented into superpixels and mapped to one single graph. The saliency value of …

A novel graph-based optimization framework for salient object detection

J Zhang, KA Ehinger, H Wei, K Zhang, J Yang - Pattern Recognition, 2017 - infona.pl
In traditional graph-based optimization framework for salient object detection, an image is
over-segmented into superpixels and mapped to one single graph. The saliency value of …