Language-aware weak supervision for salient object detection.

•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.