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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DINOv2: Learning Robust Visual Features without Supervision · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2304.07193/</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/2304.07193/feed.xml" rel="self" type="application/rss+xml" /><item><title>DINOv2: Learning Robust Visual Features without Supervision — mentioned by panabee</title><link>https://news.ycombinator.com/item?id=35695376</link><guid isPermaLink="false">urn:hackerpapers:mention:2304.07193:35695376</guid><pubDate>Tue, 25 Apr 2023 01:11:08 GMT</pubDate><description>&lt;p&gt;dino v2 reflipped me, reasoning that text supervision artificially constrains image learning: https://arxiv.org/abs/2304.07193 if unified modeling isn&amp;#x27;t necessary, or even hurtful, a key advantage of transformers goes away.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2304.07193/"&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>DINOv2: Learning Robust Visual Features without Supervision — mentioned by jeeeb</title><link>https://news.ycombinator.com/item?id=35634674</link><guid isPermaLink="false">urn:hackerpapers:mention:2304.07193:35634674</guid><pubDate>Wed, 19 Apr 2023 23:39:46 GMT</pubDate><description>&lt;p&gt;I don’t have any insider insight on this but the GPT3 paper discusses some of their data sets and curation techniques (https://arxiv.org/pdf/2005.14165.pdf). The recent DinoV2 paper is also interesting reading (https://arxiv.org/pdf/2304.07193.pdf), as they particularly focus on techniques for improving the training set. OpenAI also have been open about making heavy use of RL (via PPO) to fine tune the models. For RL it seems they’ve basically developed a second model that can be used to score the quality of responses based on the encoded preferences of human evaluators. I.e you build a…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2304.07193/"&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>
