Language-aware weak supervision for salient object detection

作者：

Highlights：

• We learn textual information from natural language to detect salient objects.

• We establish the textual-visual pairwise affinities to explore saliency priors.

• We leverage a recurrent self-supervision mechanism for saliency refinement.

• The proposed algorithm performs competitive against the existing saliency methods.

摘要

•We learn textual information from natural language to detect salient objects.•We establish the textual-visual pairwise affinities to explore saliency priors.•We leverage a recurrent self-supervision mechanism for saliency refinement.•The proposed algorithm performs competitive against the existing saliency methods.

论文关键词：Saliency detection,Natural language,Textual-visual pairwise,Self-supervision

论文评审过程：Received 20 March 2019, Revised 26 May 2019, Accepted 26 June 2019, Available online 2 July 2019, Version of Record 13 July 2019.

论文官网地址：https://doi.org/10.1016/j.patcog.2019.06.021