<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Attention on 南巷</title><link>https://nx.wmlab.top/tags/attention/</link><description>Recent content in Attention 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>Wed, 20 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://nx.wmlab.top/tags/attention/index.xml" rel="self" type="application/rss+xml"/><item><title>星语 pi0：VLA 模型源码拆解与最小复现</title><link>https://nx.wmlab.top/portfolio/xy-pi0/</link><pubDate>Wed, 20 May 2026 00:00:00 +0000</pubDate><author>liuwenhao1968@163.com (南巷)</author><guid>https://nx.wmlab.top/portfolio/xy-pi0/</guid><description>围绕 pi0 源码构建最小可运行 VLA 系统，拆解视觉编码、语言建模和动作预测模块。</description></item><item><title>HAFNet：轻量化语义分割网络</title><link>https://nx.wmlab.top/portfolio/hafnet/</link><pubDate>Tue, 10 Feb 2026 00:00:00 +0000</pubDate><author>liuwenhao1968@163.com (南巷)</author><guid>https://nx.wmlab.top/portfolio/hafnet/</guid><description>轻量级多层级可定制语义分割网络，围绕图像语义理解中的边界、结构与高层语义协同建模。</description></item><item><title>HAFNet: Hierarchical Attention and Feature Fusion for Real-Time Lightweight Semantic Segmentation</title><link>https://nx.wmlab.top/publications/hafnet-lightweight-semantic-segmentation/</link><pubDate>Sun, 01 Feb 2026 00:00:00 +0000</pubDate><author>liuwenhao1968@163.com (南巷)</author><guid>https://nx.wmlab.top/publications/hafnet-lightweight-semantic-segmentation/</guid><description>实时轻量化语义分割网络，基于浅层边界、中层结构与深层语义的层级功能划分，结合注意力与多尺度特征融合提升复杂场景分割效果。</description></item></channel></rss>