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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GLIPv2: Unifying Localization and Vision-Language Understanding · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2206.05836/</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/2206.05836/feed.xml" rel="self" type="application/rss+xml" /><item><title>GLIPv2: Unifying Localization and Vision-Language Understanding — mentioned by drothlis</title><link>https://news.ycombinator.com/item?id=35230200</link><guid isPermaLink="false">urn:hackerpapers:mention:2206.05836:35230200</guid><pubDate>Mon, 20 Mar 2023 11:50:19 GMT</pubDate><description>&lt;p&gt;According to the ViperGPT paper their &amp;quot;ImagePatch.find()&amp;quot; uses GLIP. According to the GLIP paper,† accuracy on a test-set not seen during training is around 60% so... neat demos but whether it&amp;#x27;ll be reliable enough depends on your application. † https://arxiv.org/abs/2206.05836&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2206.05836/"&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>
