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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Learning Deep Features for Discriminative Localization · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1512.04150/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1512.04150/feed.xml" rel="self" type="application/rss+xml" /><item><title>Learning Deep Features for Discriminative Localization — mentioned by jedvinss</title><link>https://news.ycombinator.com/item?id=15652222</link><guid isPermaLink="false">urn:hackerpapers:mention:1512.04150:15652222</guid><pubDate>Wed, 08 Nov 2017 13:38:51 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s based on this paper https://arxiv.org/pdf/1512.04150.pdf The approach is different than the Faster R-CNN etc mentioned below as it is not fully supervised, i.e. the position of the objected is not in the training data. I can write a simple tutorial and link in the article and here later today.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1512.04150/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
