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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Jifeng Dai</author_name><author_url>https://www.microsoft.com/en-us/research/people/jifdai/</author_url><title>Cosegmentation and Cosketch by Unsupervised Learning - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="dMpYaWG7em"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/cosegmentation-cosketch-unsupervised-learning/"&gt;Cosegmentation and Cosketch by Unsupervised Learning&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/cosegmentation-cosketch-unsupervised-learning/embed/#?secret=dMpYaWG7em" width="600" height="338" title="&#x201C;Cosegmentation and Cosketch by Unsupervised Learning&#x201D; &#x2014; Microsoft Research" data-secret="dMpYaWG7em" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>Cosegmentation refers to the problem of segmenting multiple images simultaneously by exploiting the similarities between the foreground and background regions in these images. The key issue in cosegmentation is to align common objects between these images. To address this issue, we propose an unsupervised learning framework for cosegmentation, by coupling cosegmentation with what we call [&hellip;]</description></oembed>
