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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1612.01925/</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/1612.01925/feed.xml" rel="self" type="application/rss+xml" /><item><title>FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks — mentioned by fxtentacle</title><link>https://news.ycombinator.com/item?id=21950123</link><guid isPermaLink="false">urn:hackerpapers:mention:1612.01925:21950123</guid><pubDate>Fri, 03 Jan 2020 20:42:58 GMT</pubDate><description>&lt;p&gt;It used to be. Then the AI fanboys arrived and started treating it like a learning problem. https://arxiv.org/abs/1612.01925 https://arxiv.org/abs/1709.02371 https://arxiv.org/abs/1904.09117 BTW, also the classical algorithms deal very badly with noise and repetitive textures, e.g. a video of a forest in the afternoon.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1612.01925/"&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>
