Contrast based Saliency Detection via Manifold Ranking
Shunyao Jin, Xueqing Li · 2016
Saliency detection has been widely studied in computer vision.In this paper we propose a two-steps method combining contrast assumption and ranking technology to detect saliency region.Firstly, We use the traditional contrast assumption to find foregroundcues.Then we rank the nodes with labeled contrast cues bygraph-based manifold ranking.We experiment with our method on a large public data set.Our results show the effectiveness of our method, and perform better compared to recent state-of-the-art methods.