Salient Object Detection with Recurrent Fully Convolutional Networks

Deep networks have been proved to encode high-level features with semantic meaning and delivered superior performance in salient object detection. In this paper, we take one step further by developing a new saliency detection method based on recurrent fully convolutional networks (RFCNs). Compared w...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2019-07, Vol.41 (7), p.1734-1746
Hauptverfasser:	Wang, Linzhao, Wang, Lijun, Lu, Huchuan, Zhang, Pingping, Ruan, Xiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Architecture Computer architecture Image segmentation Knowledge management network pre-training Networks Object detection Object recognition recurrent fully convolutional networks Salience Saliency detection saliency priors Salient object detection Semantic segmentation Semantics Task analysis Training
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