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1708.04943.pdf
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🔗 Source: arxiv.org
📊 Size: 1.92 MB
📄 Pages: 12 pages
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Researchers propose a Stacked Deconvolutional Network (SDN) for semantic image segmentation, addressing the issue of spatial resolution loss in Fully Convolutional Networks (FCNs). The SDN consists of multiple shallow deconvolutional networks (SDN units) stacked together, integrating contextual information and recovering localization details. Inter-unit and intra-unit connections, as well as hierarchical supervision, are designed to enhance network training and feature fusion. Experimental results show that the SDN achieves state-of-the-art performance on three datasets, including PASCAL VOC 2012, CamVid, and GATECH, with an intersection-over-union score of 86.6% without CRF post-processing.

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Researchers propose a Stacked Deconvolutional Network (SDN) for semantic image segmentation, addressing the issue of spatial resolution loss in Fully...

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  • File Format: PDF
  • File Size: 1.92 MB
  • Pages: 12
  • Language: EN
  • Total Downloads: 144
  • Last Updated: 4 weeks ago

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