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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>Carsten Rother</author_name><author_url>https://www.microsoft.com/en-us/research/people/carrot/</author_url><title>Object Cosegmentation - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="fk3QTLxeRT"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/object-cosegmentation/"&gt;Object Cosegmentation&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/object-cosegmentation/embed/#?secret=fk3QTLxeRT" width="600" height="338" title="&#x201C;Object Cosegmentation&#x201D; &#x2014; Microsoft Research" data-secret="fk3QTLxeRT" 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 is typically defined as the task of jointly segmenting &#x201C;something similar&#x201D; in a given set of images. Existing methods are too generic and so far have not demonstrated competitive results for any specific task. In this paper we overcome this limitation by adding two new aspects to cosegmentation: (1) the &#x201C;something&#x201D; has to be [&hellip;]</description></oembed>
