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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Vanishing Point Detection with Direct and Transposed Fast Hough Transform inside the neural network · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2002.01176/</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/2002.01176/feed.xml" rel="self" type="application/rss+xml" /><item><title>Vanishing Point Detection with Direct and Transposed Fast Hough Transform inside the neural network — mentioned by ansgri</title><link>https://news.ycombinator.com/item?id=22333931</link><guid isPermaLink="false">urn:hackerpapers:mention:2002.01176:22333931</guid><pubDate>Sat, 15 Feb 2020 07:38:58 GMT</pubDate><description>&lt;p&gt;I am familiar with the research group in question, and the reporting is beyond awful. Nobody claims they’ve discovered a universal solution, just that the developed techniques are useful in multiple problems, from document scanning to autonomous navigation. The specific opportunities for their application were somewhat accidental indeed. edit: most of the results are not yet published, but this should give a general idea https://arxiv.org/abs/2002.01176&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2002.01176/"&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>
