Salient object detection network with multi-scale feature refinement and boundary feedback
作者：
Highlights：
• We propose a novel multi-scale refinement network for edge-aware saliency detection.
• We design a feature interaction module to represent multi-scale features.
• A feature refinement module is proposed to enhance feature discriminability.
• We design a boundary feedback method to effectively learn edge information.
• The proposed method performs competitive against the recent representative methods.
摘要
Highlights•We propose a novel multi-scale refinement network for edge-aware saliency detection.•We design a feature interaction module to represent multi-scale features.•A feature refinement module is proposed to enhance feature discriminability.•We design a boundary feedback method to effectively learn edge information.•The proposed method performs competitive against the recent representative methods.
论文关键词：Salient object detection,Saliency detection,Multi-scale features,Boundary,Attention
论文评审过程：Available online 24 October 2021, Version of Record 9 November 2021.
论文官网地址：https://doi.org/10.1016/j.imavis.2021.104326
