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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>It's About Time: Analog Clock Reading in the Wild · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2111.09162/</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/2111.09162/feed.xml" rel="self" type="application/rss+xml" /><item><title>It's About Time: Analog Clock Reading in the Wild — mentioned by gwern</title><link>https://news.ycombinator.com/item?id=41936559</link><guid isPermaLink="false">urn:hackerpapers:mention:2111.09162:41936559</guid><pubDate>Thu, 24 Oct 2024 15:33:40 GMT</pubDate><description>&lt;p&gt;If your timekeeper doesn&amp;#x27;t perform adequately, there&amp;#x27;s an impressively overengineered neural net project to read clocks: https://arxiv.org/abs/2111.09162 &amp;quot;It&amp;#x27;s About Time: Analog Clock Reading in the Wild&amp;quot;. (Although I don&amp;#x27;t know how it would compare to the latest generalist vision models... Clocks are pretty well labeled in photographs online, one would expect.)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2111.09162/"&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>
