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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1902.09506/</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/1902.09506/feed.xml" rel="self" type="application/rss+xml" /><item><title>GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering — mentioned by runnerup</title><link>https://news.ycombinator.com/item?id=35744550</link><guid isPermaLink="false">urn:hackerpapers:mention:1902.09506:35744550</guid><pubDate>Fri, 28 Apr 2023 17:37:47 GMT</pubDate><description>&lt;p&gt;AFAIK, converting an image to a text summary isn&amp;#x27;t really a thing by itself. The related work would be &amp;quot;visual reasoning&amp;quot; which is the ability to ask things about the image in natural language and get responses back also in natural language. I believe the current SOTA test for NLVR is VQAv2[0] or GQA[1]. 0: https://visualqa.org/ 1: https://arxiv.org/pdf/1902.09506.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1902.09506/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
