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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2409.12191/</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/2409.12191/feed.xml" rel="self" type="application/rss+xml" /><item><title>Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution — mentioned by michaelt</title><link>https://news.ycombinator.com/item?id=43552076</link><guid isPermaLink="false">urn:hackerpapers:mention:2409.12191:43552076</guid><pubDate>Tue, 01 Apr 2025 22:47:27 GMT</pubDate><description>&lt;p&gt;qwen2.5-vl-72b-instruct seems perfectly happy outputting bounding boxes in my testing. There&amp;#x27;s also a paper https://arxiv.org/pdf/2409.12191 where they explicitly say some of their training included bounding boxes and coordinates.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2409.12191/"&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>
