Exemplar-Aided Salient Object Detection via Joint Latent Space Embedding.
IEEE Transactions on Image Processing(2018)
摘要
Traditional unsupervised salient object detection methods majorly rely on the pre-defined assumptions about saliency. However, these assumptions may not be sufficient for handling test images of varied content and context. Meanwhile, the supervised models learn saliency knowledge from thousands of annotated images, which are usually expensive to obtain. In this paper, we propose an exemplar-aided ...
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关键词
Object detection,Databases,Task analysis,Semantics,Image segmentation,Estimation,Training
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