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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep Interactive Object Selection · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1603.04042/</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/1603.04042/feed.xml" rel="self" type="application/rss+xml" /><item><title>Deep Interactive Object Selection — mentioned by andreyk</title><link>https://news.ycombinator.com/item?id=14432866</link><guid isPermaLink="false">urn:hackerpapers:mention:1603.04042:14432866</guid><pubDate>Sun, 28 May 2017 02:28:07 GMT</pubDate><description>&lt;p&gt;I post this now (the project is a few months old) purely inspired by this post: https://blog.photoeditorsdk.com/deep-learning-for-photo-edit... They basically took the same idea and instead of just producing a hack finished a nice full version of the idea - very nice write up! But, they don&amp;#x27;t have any web UI for it yet, so I am getting tempted to revive my dormant side project and likewise make a proper polished version of it with a web interface. If anyone on here is a talented web dev with an interest on working on this as a side project (for free, and for fun, though we could explore…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1603.04042/"&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>
