Focusness guided salient object detection
Xiaolin Xiao, Yicong Zhou · 2017
Salient object detection aims to correctly highlight the most salient object(s) in an image. Combining fine-grained contrast prior with rough-grained object consistency, this paper proposes a Focusness Guided Salient object detection (FGS) algorithm. To obtain clean and precise contrast map, FGS uses the focusness prior to guide the contrast map. Combing different saliency priors, FGS utilizes a unified least-square framework to generate the final optimal salient map. Experiments demonstrate the proposed method outperforms the state-of-the-arts.