<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>visual search on Siddharth Jain</title><link>https://www.siddharthjain.dev/tags/visual-search/</link><description>Recent content in visual search on Siddharth Jain</description><generator>Hugo -- gohugo.io</generator><lastBuildDate>Sun, 23 Feb 2020 23:01:45 -0700</lastBuildDate><atom:link href="https://www.siddharthjain.dev/tags/visual-search/index.xml" rel="self" type="application/rss+xml"/><item><title>Web Scale Responsive Visual Search at Bing</title><link>https://www.siddharthjain.dev/posts/2020/web-scale-responsive-visual-search-at-bing/</link><pubDate>Sun, 23 Feb 2020 23:01:45 -0700</pubDate><guid>https://www.siddharthjain.dev/posts/2020/web-scale-responsive-visual-search-at-bing/</guid><description>This post is a summary of the paper:
Web-Scale Responsive Visual Search at Bing, Hu et al., 2018
Introduction Visual search is an interesting research area. A visual search system ranks a list of visually similar images when presented with a query image.
As in all search systems, latency and relevance of returned results are key metrics to evaluate such a system.</description></item></channel></rss>