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<oembed><version>1.0</version><provider_name>Cees Snoek</provider_name><provider_url>https://www.ceessnoek.info</provider_url><author_name>Cees</author_name><author_url>https://www.ceessnoek.info/index.php/author/admin/</author_url><title>Counting with Focus for Free - Cees Snoek</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="vhueBDqRvG"&gt;&lt;a href="https://www.ceessnoek.info/index.php/counting-with-focus-for-free/"&gt;Counting with Focus for Free&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.ceessnoek.info/index.php/counting-with-focus-for-free/embed/#?secret=vhueBDqRvG" width="600" height="338" title="&#x201C;Counting with Focus for Free&#x201D; &#x2014; Cees Snoek" data-secret="vhueBDqRvG" 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>The ICCV paper &#x201C;Counting with Focus for Free&#x201D; by Zenglin Shi, Pascal Mettes and Cees Snoek is now available. This paper aims to count arbitrary objects in images. The leading counting approaches start from point annotations per object from which they construct density maps. Then, their training objective transforms input images to density maps through [&hellip;]</description><thumbnail_url>http://www.ceessnoek.info/wp-content/uploads/2019/08/counting-300x269.png</thumbnail_url></oembed>
