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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2412.05203/</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/2412.05203/feed.xml" rel="self" type="application/rss+xml" /><item><title>Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era — mentioned by archaeoscape</title><link>https://news.ycombinator.com/item?id=42971193</link><guid isPermaLink="false">urn:hackerpapers:mention:2412.05203:42971193</guid><pubDate>Fri, 07 Feb 2025 10:33:11 GMT</pubDate><description>&lt;p&gt;Sure, you can check our paper where we describe the data scarcity issue, propose a dataset and some baselines: https://arxiv.org/abs/2412.05203 Here&amp;#x27;s also an interesting LiDAR segmentation paper for Maya settlements. Smaller scale, but you can see what people are trying: https://arxiv.org/abs/2208.03163 Here&amp;#x27;s another curious recent LiDAR paper, no computer vision, but shows the importance of the proper data processsing: Auld-Thomas L, Canuto MA, Morlet AV, et al. Running out of empty space: environmental lidar and the crowded ancient landscape of Campeche, Mexico. Antiquity.…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2412.05203/"&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>
