<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>PubLayNet: largest dataset ever for document layout analysis · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1908.07836/</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/1908.07836/feed.xml" rel="self" type="application/rss+xml" /><item><title>PubLayNet: largest dataset ever for document layout analysis — mentioned by vivegi</title><link>https://news.ycombinator.com/item?id=38280446</link><guid isPermaLink="false">urn:hackerpapers:mention:1908.07836:38280446</guid><pubDate>Wed, 15 Nov 2023 18:33:36 GMT</pubDate><description>&lt;p&gt;Layout analysis is the key. Quite a bit of work has been going on recently in this area. Some papers of relevance: - Xu Zhong, Jianbin Tang, Antonio Jimeno Yepes. &amp;quot;PubLayNet: largest dataset ever for document layout analysis,&amp;quot; Aug 2019. Preprint: https://arxiv.org/abs/1908.07836 Code/Data: https://github.com/ibm-aur-nlp/PubLayNet - B. Pfitzmann, C. Auer, M. Dolfi, A. S. Nassar and P. Staar, &amp;quot;DocLayNet: a large human-annotated dataset for document-layout analysis,&amp;quot; 13 August 2022. [Online]. Available: https://developer.ibm.com/exchanges/data/all/doclaynet/. - S. Appalaraju, B. Jasani, B. U.…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1908.07836/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
