R-Net: Recursive decoder with edge refinement network for salient object detection

Hui Wang, Yuqian Zhao, Fan Zhang, Gui Gui, Lingli Yu, Baifan Chen, Miao Liao, Chunhua Yang, Weihua Gui

Abstract: Highlights•A novel framework called R-Net is proposed for salient object detection.•Long-range dependency solves space context separation within feature map.•Recursive decoder generates preliminary salient map by full-scale feature fusion.•Edge refinement obtains the delicate map based on preliminary salient map.•Our method can achieve state-of-the-art performance on five benchmarks.