<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Vision Transformer on 南巷</title><link>https://nx.wmlab.top/tags/vision-transformer/</link><description>Recent content in Vision Transformer on 南巷</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>liuwenhao1968@163.com (南巷)</managingEditor><webMaster>liuwenhao1968@163.com (南巷)</webMaster><copyright>© 2026 南巷</copyright><lastBuildDate>Mon, 15 Jun 2026 02:14:39 +0800</lastBuildDate><atom:link href="https://nx.wmlab.top/tags/vision-transformer/index.xml" rel="self" type="application/rss+xml"/><item><title>ViT</title><link>https://nx.wmlab.top/blog/vit/</link><pubDate>Mon, 15 Jun 2026 02:14:39 +0800</pubDate><author>liuwenhao1968@163.com (南巷)</author><guid>https://nx.wmlab.top/blog/vit/</guid><description>下面详细分析一下ViT，这个开启了cv的新时代。在cnn处理不好的地方，在vit却是可以很好的处理。</description></item><item><title>Swin Transformer</title><link>https://nx.wmlab.top/blog/swin-transformer/</link><pubDate>Mon, 15 Jun 2026 02:14:32 +0800</pubDate><author>liuwenhao1968@163.com (南巷)</author><guid>https://nx.wmlab.top/blog/swin-transformer/</guid><description>Patch 分割和线性嵌入 \(Patch Partition + Linear Embedding\)</description></item><item><title>DINO</title><link>https://nx.wmlab.top/blog/dino/</link><pubDate>Mon, 15 Jun 2026 02:14:13 +0800</pubDate><author>liuwenhao1968@163.com (南巷)</author><guid>https://nx.wmlab.top/blog/dino/</guid><description>在 DINO 出现之前，自监督视觉表示学习主要有两类主流方法：</description></item></channel></rss>