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Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation [article]

Weifeng Ge, Sheng Guo, Weilin Huang, Matthew R. Scott
<span title="2020-04-24">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>

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<span title="2019-10-21">2019</span> <span class="release-stage" >pre-print</span>
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<span title="2019-10-07">2019</span> <span class="release-stage" >pre-print</span>
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Unlike previous methods which are composed of multiple offline stages, we propose Sequential Label Propagation and Enhancement Networks (referred as Label-PEnet) that progressively transform image-level  ...  Weakly-supervised instance segmentation aims to detect and segment object instances precisely, given imagelevel labels only.  ...  Conclusions We have presented new Sequential Label Propagation and Enhancement Networks (referred as Label-PEnet) for weakly-supervised object detection and instance segmentation.  ... 
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Citation

Weifeng Ge, Sheng Guo, Weilin Huang, Matthew R. Scott. "Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation." arXiv (2020)