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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Multi-Oriented Text Detection with Fully Convolutional Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1604.04018/</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/1604.04018/feed.xml" rel="self" type="application/rss+xml" /><item><title>Multi-Oriented Text Detection with Fully Convolutional Networks — mentioned by yorwba</title><link>https://news.ycombinator.com/item?id=14553640</link><guid isPermaLink="false">urn:hackerpapers:mention:1604.04018:14553640</guid><pubDate>Wed, 14 Jun 2017 15:59:34 GMT</pubDate><description>&lt;p&gt;E.g [1] trained for 20 * 10^5 iterations at 2.1 seconds per image, coming out to 48 days (!) in total. Maybe the 2.1 seconds also include the post-processing to get bounding boxes, though. Anyway, you need lots of training time. [1] https://arxiv.org/abs/1604.04018 &amp;quot;Multi-Oriented Text Detection with Fully Convolutional Networks&amp;quot;&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1604.04018/"&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>
