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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Microsoft COCO: Common Objects in Context · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1405.0312/</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/1405.0312/feed.xml" rel="self" type="application/rss+xml" /><item><title>Microsoft COCO: Common Objects in Context — mentioned by natvert</title><link>https://news.ycombinator.com/item?id=19564733</link><guid isPermaLink="false">urn:hackerpapers:mention:1405.0312:19564733</guid><pubDate>Wed, 03 Apr 2019 16:29:57 GMT</pubDate><description>&lt;p&gt;Good question, we use the same method as coco, described in https://arxiv.org/pdf/1405.0312.pdf and implemented in the coco evaluation scripts here: https://github.com/cocodataset/cocoapi/blob/master/PythonAPI... -- basically the best matching proposal, ground truth pair&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1405.0312/"&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>Microsoft COCO: Common Objects in Context — mentioned by lioeters</title><link>https://news.ycombinator.com/item?id=16848216</link><guid isPermaLink="false">urn:hackerpapers:mention:1405.0312:16848216</guid><pubDate>Mon, 16 Apr 2018 11:32:34 GMT</pubDate><description>&lt;p&gt;From &amp;quot;Microsoft COCO: Common Objects in Context&amp;quot; (2014) https://arxiv.org/abs/1405.0312 &amp;quot;We present a new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object recognition in the context of the broader question of scene understanding. This is achieved by gathering images of complex everyday scenes containing common objects in their natural context. Objects are labeled using per-instance segmentations to aid in precise object localization. Our dataset contains photos of 91 objects types that would be easily recognizable by a 4 year old.…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1405.0312/"&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>
