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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MobileNetV2: Inverted Residuals and Linear Bottlenecks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1801.04381/</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/1801.04381/feed.xml" rel="self" type="application/rss+xml" /><item><title>MobileNetV2: Inverted Residuals and Linear Bottlenecks — mentioned by b-3-n</title><link>https://news.ycombinator.com/item?id=28831280</link><guid isPermaLink="false">urn:hackerpapers:mention:1801.04381:28831280</guid><pubDate>Mon, 11 Oct 2021 18:25:03 GMT</pubDate><description>&lt;p&gt;In contrast to similar works there is no dedicated paper that presents e.g. the neural network or the training procedure. Of course ideas from many papers influenced this work and I can&amp;#x27;t list them all here. Maybe it helps that the backbone of the network is very similar to MobileNetV2 (https://arxiv.org/abs/1801.04381). Let me know if you have any more questions in that regard.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1801.04381/"&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>MobileNetV2: Inverted Residuals and Linear Bottlenecks — mentioned by m_ke</title><link>https://news.ycombinator.com/item?id=16211364</link><guid isPermaLink="false">urn:hackerpapers:mention:1801.04381:16211364</guid><pubDate>Tue, 23 Jan 2018 05:59:40 GMT</pubDate><description>&lt;p&gt;You could try tensorflow object_detection api with tensorflow lite https://github.com/tensorflow/models/tree/master/research/ob... google also recently put up their mobilenet v2 paper which handles segmentation https://arxiv.org/abs/1801.04381&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1801.04381/"&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>
