Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
Despite the remarkable advances in visual saliency analysis for natural scene images (NSIs), salient object detection (SOD) for optical remote sensing images (RSIs) still remains an open and challenging problem. In this paper, we propose an end-to-end Dense Attention Fluid Network (DAFNet) for SOD i...
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Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 01., Seite 1305-1317
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1. Verfasser: |
Zhang, Qijian
(VerfasserIn) |
Weitere Verfasser: |
Cong, Runmin,
Li, Chongyi,
Cheng, Ming-Ming,
Fang, Yuming,
Cao, Xiaochun,
Zhao, Yao,
Kwong, Sam |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2021
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Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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Schlagworte: | Journal Article |