Dual guidance enhanced network for light field salient object detection
作者：
Highlights：
• A Dual Guidance Enhanced Network for light field saliency detection is proposed.
• The global map as the initial guidance is obtained through global generation module.
• Recurrent global-guided focus module integrating reverse attention-driven strategy.
• Boundary-guided semantic accumulation module explicitly introduces salient edge cues.
• Experimental results demonstrate the effectiveness and superiority of the method.
摘要
•A Dual Guidance Enhanced Network for light field saliency detection is proposed.•The global map as the initial guidance is obtained through global generation module.•Recurrent global-guided focus module integrating reverse attention-driven strategy.•Boundary-guided semantic accumulation module explicitly introduces salient edge cues.•Experimental results demonstrate the effectiveness and superiority of the method.
论文关键词：Light field,Salient object detection,Convolutional neural network,Hierarchical interaction,Boundary-guided semantic accumulation
论文评审过程：Received 28 September 2021, Revised 2 December 2021, Accepted 7 December 2021, Available online 11 December 2021, Version of Record 18 December 2021.
论文官网地址：https://doi.org/10.1016/j.imavis.2021.104352
