<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[smallbig12的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/smallbig12</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; smallbig12]]></copyright><item><title><![CDATA[anomaly detection学习笔记（自用）]]></title><link>https://blog.youkuaiyun.com/smallbig12/article/details/131451511</link><guid>https://blog.youkuaiyun.com/smallbig12/article/details/131451511</guid><author>smallbig12</author><pubDate>Thu, 29 Jun 2023 11:01:14 +0800</pubDate><description><![CDATA[记录一下学习anomaly detection的学习过程以及每日计划。]]></description><category></category></item><item><title><![CDATA[few-shot学习笔记（自用）]]></title><link>https://blog.youkuaiyun.com/smallbig12/article/details/130046250</link><guid>https://blog.youkuaiyun.com/smallbig12/article/details/130046250</guid><author>smallbig12</author><pubDate>Sun, 09 Apr 2023 19:29:49 +0800</pubDate><description><![CDATA[paper-with-code的榜单上列出了在MS-COCO（30-shot）数据集上各个模型的AP50，最高的目前只有0.3，这个结果相较于目标检测领域的0.8还是有较大差距的，所以很可能是不适合应用于工业环境的。但也有可能是因为COCO数据集上所需要的泛化能力太强了，few-shot才会不拿手，具体还要再看工业上的few-shot应用。这是一篇2022年的综述，将目前的few-shot目标检测分为单分支、双分支和迁移学习三个方向。然后多找几篇工业上few-shot的应用。要不再看一篇综述吧。]]></description><category></category></item><item><title><![CDATA[注意力机制综述（自用）]]></title><link>https://blog.youkuaiyun.com/smallbig12/article/details/129651536</link><guid>https://blog.youkuaiyun.com/smallbig12/article/details/129651536</guid><author>smallbig12</author><pubDate>Sun, 19 Mar 2023 15:59:13 +0800</pubDate><description><![CDATA[文章将近几年的注意力机制分为：通道注意力、空间注意力、时间注意力和branch注意力，以及两个组合注意力机制：空间通道注意力机制和时间空间注意力机制。]]></description><category></category></item><item><title><![CDATA[YOLOv5结构改进——dynamicRELU和可变形卷积(DCN)]]></title><link>https://blog.youkuaiyun.com/smallbig12/article/details/129207945</link><guid>https://blog.youkuaiyun.com/smallbig12/article/details/129207945</guid><author>smallbig12</author><pubDate>Sat, 25 Feb 2023 09:06:31 +0800</pubDate><description><![CDATA[红外图像检测]]></description><category></category></item><item><title><![CDATA[YOLO学习笔记（自用）]]></title><link>https://blog.youkuaiyun.com/smallbig12/article/details/129030076</link><guid>https://blog.youkuaiyun.com/smallbig12/article/details/129030076</guid><author>smallbig12</author><pubDate>Tue, 14 Feb 2023 17:21:51 +0800</pubDate><description><![CDATA[YOLOv5学习笔记]]></description><category></category></item></channel></rss>