<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SelFlow: Self-Supervised Learning of Optical Flow · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1904.09117/</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/1904.09117/feed.xml" rel="self" type="application/rss+xml" /><item><title>SelFlow: Self-Supervised Learning of Optical Flow — mentioned by fxtentacle</title><link>https://news.ycombinator.com/item?id=23477908</link><guid isPermaLink="false">urn:hackerpapers:mention:1904.09117:23477908</guid><pubDate>Wed, 10 Jun 2020 15:11:20 GMT</pubDate><description>&lt;p&gt;Here&amp;#x27;s the optical flow paper considered worldwide state of the art for drone navigation: https://arxiv.org/abs/2003.13045 4x Zhejiang University, Hangzhou, China 6x Tencent&amp;#x27;s Youtu Lab, Shenzhen, China Before that was released, the previous state of the art was: https://arxiv.org/abs/1904.09117 3x The Chinese University of Hong Kong 1x Tencent AI Lab, Shenzhen, China In Sintel, a benchmark performed by a German university, both of these also rank higher than the highest-ranked research team including a US citizen. It may not be what people want to hear and/or it maybe an issue of cheating…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1904.09117/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>SelFlow: Self-Supervised Learning of Optical Flow — mentioned by fxtentacle</title><link>https://news.ycombinator.com/item?id=21950123</link><guid isPermaLink="false">urn:hackerpapers:mention:1904.09117:21950123</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/1904.09117/"&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>
