Weakly-Supervised Saliency Detection via Salient Object Subitizing

IEEE Transactions on Circuits and Systems for Video Technology(2021)

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摘要
Salient object detection aims at detecting the most visually distinct objects and producing the corresponding masks. As the cost of pixel-level annotations is high, image tags are usually used as weak supervisions. However, an image tag can only be used to annotate one class of objects. In this paper, we introduce saliency subitizing as the weak supervision since it is class-agnostic. This allows ...
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关键词
Saliency detection,Task analysis,Object detection,Feature extraction,Training,Image segmentation,Annotations
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