<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Sun, 12 Apr 2026 17:12:33 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/deep-isp/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[DeepISP: Learning end-to-end image processing Pipeline]]></title><description><![CDATA[Eli Schwartz, Raja Giryes, Alex M. Bronstein We present DeepISP, a full end-to-end deep neural model of the camera image signal processing (ISP) pipeline. Our model learns a mapping from the raw low-light]]></description><link>http://direct.ecency.com/deep-learning/@jungjunghoon/deepisp-learning-end-to-end-image-processing-pipeline</link><guid isPermaLink="true">http://direct.ecency.com/deep-learning/@jungjunghoon/deepisp-learning-end-to-end-image-processing-pipeline</guid><category><![CDATA[deep-learning]]></category><dc:creator><![CDATA[jungjunghoon]]></dc:creator><pubDate>Wed, 24 Jan 2018 14:53:30 GMT</pubDate><enclosure url="https://images.ecency.com/p/W5LtFUPm6g774G2LPx8CTVHrbGQ778Sw45DBMcdCvv79pnrvTy7sn6QuWYesetrqYxkpE598nBjjAvHERPETPvKCJdVDAK7GbMXr4g9ZQU3XUeaTnH3suYtnFcbtRbyJRtTYd2uT7qet4XqY5iUCesuwfNKoC?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>