A pooling-based feature pyramid network for salient object detection

作者：

Highlights：

• A pooling-based feature pyramid network for salient object detection is proposed;

• Two U-shaped feature pyramid modules are designed;

• Pyramid pooling refinement module is designed to capture rich semantic information;

• Universal channel-wise attention module is designed to select high-level features;

• Experiments demonstrate the superiority of PFP for salient object detection.

摘要

•A pooling-based feature pyramid network for salient object detection is proposed;•Two U-shaped feature pyramid modules are designed;•Pyramid pooling refinement module is designed to capture rich semantic information;•Universal channel-wise attention module is designed to select high-level features;•Experiments demonstrate the superiority of PFP for salient object detection.

论文关键词：Salient object detection,U-shaped feature pyramid,Pooling,Convolutional neural network,Deep feature learning

论文评审过程：Received 15 December 2020, Revised 2 January 2021, Accepted 4 January 2021, Available online 8 January 2021, Version of Record 26 January 2021.

论文官网地址：https://doi.org/10.1016/j.imavis.2021.104099