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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recurrent Convolutional Strategies for Face Manipulation Detection in Videos · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1905.00582/</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/1905.00582/feed.xml" rel="self" type="application/rss+xml" /><item><title>Recurrent Convolutional Strategies for Face Manipulation Detection in Videos — mentioned by trott</title><link>https://news.ycombinator.com/item?id=24100396</link><guid isPermaLink="false">urn:hackerpapers:mention:1905.00582:24100396</guid><pubDate>Sun, 09 Aug 2020 15:53:18 GMT</pubDate><description>&lt;p&gt;Looking at the diagram, this appears to be just an LSTM slapped on top of a CNN. If so, I&amp;#x27;m failing to see any novelty in this approach. RNNs on top of CNNs have been used before, including for deepfake detection. See for example: https://arxiv.org/abs/1905.00582 The recent DeepFake Detection Challenge threw a lot of manpower at the problem earlier this year, BTW.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1905.00582/"&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>
