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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>PIGEON: Predicting Image Geolocations · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2307.05845/</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/2307.05845/feed.xml" rel="self" type="application/rss+xml" /><item><title>PIGEON: Predicting Image Geolocations — mentioned by GaggiX</title><link>https://news.ycombinator.com/item?id=43803727</link><guid isPermaLink="false">urn:hackerpapers:mention:2307.05845:43803727</guid><pubDate>Sat, 26 Apr 2025 14:04:08 GMT</pubDate><description>&lt;p&gt;Some people are really good at GeoGuessr, but also their best performance are more likely to get views. If you want a bot that is extremely strong at geoguessr there is this: https://arxiv.org/abs/2307.05845 One forward pass is probably faster than 0.1 second. You can see its performance here: https://youtube.com/watch?v=ts5lPDV--cU (rainbolt is a really strong player)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2307.05845/"&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>PIGEON: Predicting Image Geolocations — HN submission</title><link>https://news.ycombinator.com/item?id=38737903</link><guid isPermaLink="false">urn:hackerpapers:submission:2307.05845:38737903</guid><pubDate>Fri, 22 Dec 2023 19:52:34 GMT</pubDate><description>&lt;p&gt;Pigeon: Predicting Image Geolocations&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2307.05845/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item><item><title>PIGEON: Predicting Image Geolocations — mentioned by qalter</title><link>https://news.ycombinator.com/item?id=36935678</link><guid isPermaLink="false">urn:hackerpapers:mention:2307.05845:36935678</guid><pubDate>Sun, 30 Jul 2023 20:35:44 GMT</pubDate><description>&lt;p&gt;I have a lot of old pictures without geolocation data. A tool to automatically add even an estimate of the location would be really useful so that apple or google photos could use it to make albums automatically. PIGEON is going that way I guess: https://arxiv.org/abs/2307.05845&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2307.05845/"&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>PIGEON: Predicting Image Geolocations — HN submission</title><link>https://news.ycombinator.com/item?id=36751607</link><guid isPermaLink="false">urn:hackerpapers:submission:2307.05845:36751607</guid><pubDate>Sun, 16 Jul 2023 21:33:20 GMT</pubDate><description>&lt;p&gt;Pigeon: Predicting Image Geolocations&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2307.05845/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
