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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DCT-CompCNN: A Novel Image Classification Network Using JPEG Compressed DCT Coefficients · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1907.11503/</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/1907.11503/feed.xml" rel="self" type="application/rss+xml" /><item><title>DCT-CompCNN: A Novel Image Classification Network Using JPEG Compressed DCT Coefficients — mentioned by cma</title><link>https://news.ycombinator.com/item?id=43375324</link><guid isPermaLink="false">urn:hackerpapers:mention:1907.11503:43375324</guid><pubDate>Sat, 15 Mar 2025 21:38:28 GMT</pubDate><description>&lt;p&gt;There is definitely work out there that deals directly in dct blocks from jpeg: https://arxiv.org/abs/1907.11503 https://arxiv.org/abs/2308.09110 With generative ai they tend to have a learned compressed representation instead (VAE)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1907.11503/"&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>
