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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Region-based semantic segmentation with end-to-end training · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1607.07671/</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/1607.07671/feed.xml" rel="self" type="application/rss+xml" /><item><title>Region-based semantic segmentation with end-to-end training — mentioned by dharma1</title><link>https://news.ycombinator.com/item?id=12360966</link><guid isPermaLink="false">urn:hackerpapers:mention:1607.07671:12360966</guid><pubDate>Thu, 25 Aug 2016 17:46:17 GMT</pubDate><description>&lt;p&gt;It would be nice to see results compared to other SOTA semantic segmentation approaches like https://github.com/daijifeng001/MNC https://bitbucket.org/aquariusjay/deeplab-public-ver2 https://arxiv.org/abs/1607.07671&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1607.07671/"&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>
