<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[cunxiang1997的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/cunxiang1997</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; cunxiang1997]]></copyright><item><title><![CDATA[代码解读笔记整理--ConvNext：A ConvNet for the 2020s]]></title><link>https://blog.youkuaiyun.com/cunxiang1997/article/details/127637587</link><guid>https://blog.youkuaiyun.com/cunxiang1997/article/details/127637587</guid><author>cunxiang1997</author><pubDate>Tue, 01 Nov 2022 17:23:48 +0800</pubDate><description><![CDATA[本文为ConvNext的源码部分解读]]></description><category></category></item><item><title><![CDATA[文献阅读笔记整理--ConvNext：A ConvNet for the 2020s]]></title><link>https://blog.youkuaiyun.com/cunxiang1997/article/details/127633350</link><guid>https://blog.youkuaiyun.com/cunxiang1997/article/details/127633350</guid><author>cunxiang1997</author><pubDate>Tue, 01 Nov 2022 14:48:58 +0800</pubDate><description><![CDATA[convnext，一篇20世纪20年代的卷积网络，以ResNet-50为基础，采用Vision-Transformer、Swin-Transformer等的部分设计思想，来进行优化改进。最终在ImageNet-1k、22k上，处理照片速度、分类准确率都有着非常好的效果]]></description><category></category></item></channel></rss>