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atom.xml
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<?xml version="1.0" encoding="utf-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
<title>anonymoussss's Blog</title>
<link href="/atom.xml" rel="self"/>
<link href="http://yoursite.com/"/>
<updated>2018-08-14T17:46:29.692Z</updated>
<id>http://yoursite.com/</id>
<author>
<name>JL Ma</name>
</author>
<generator uri="http://hexo.io/">Hexo</generator>
<entry>
<title>YOLO V2 (YOLO9000：Better,Faster,Stronger) 论文学习</title>
<link href="http://yoursite.com/2018/08/14/YOLO_v2/"/>
<id>http://yoursite.com/2018/08/14/YOLO_v2/</id>
<published>2018-08-14T02:40:27.000Z</published>
<updated>2018-08-14T17:46:29.692Z</updated>
<summary type="html">
<p>YOLO V2是原作者在V1基础上做出改进后提出的。为了达到题目中所称的Better，Faster，Stronger的目标，主要改进点如下。当然，具体内容还是要深入论文。</p>
<ul>
<li>受到Faster
</summary>
<category term="deep learning" scheme="http://yoursite.com/tags/deep-learning/"/>
<category term="translation" scheme="http://yoursite.com/tags/translation/"/>
</entry>
<entry>
<title>迁移学习和微调深度卷积神经网络</title>
<link href="http://yoursite.com/2018/08/10/%E8%BF%81%E7%A7%BB%E5%AD%A6%E4%B9%A0%E5%92%8C%E5%BE%AE%E8%B0%83%E6%B7%B1%E5%BA%A6%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/"/>
<id>http://yoursite.com/2018/08/10/迁移学习和微调深度卷积神经网络/</id>
<published>2018-08-10T12:22:27.000Z</published>
<updated>2018-08-10T03:59:59.036Z</updated>
<summary type="html">
<blockquote>
<p><strong>参考</strong>:<br>机器之心深度学习系列Part2:<a href="https://www.jiqizhixin.com/articles/2016-08-30-7" target="_blank"
</summary>
<category term="deep learning" scheme="http://yoursite.com/tags/deep-learning/"/>
</entry>
<entry>
<title>目标检测综述(转)</title>
<link href="http://yoursite.com/2018/08/08/%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E7%BB%BC%E8%BF%B0/"/>
<id>http://yoursite.com/2018/08/08/目标检测综述/</id>
<published>2018-08-08T12:22:27.000Z</published>
<updated>2018-08-10T04:09:59.307Z</updated>
<summary type="html">
<p>转自Ronald的知乎专栏(2017.12.31)：<a href="https://zhuanlan.zhihu.com/p/33277354" target="_blank"
</summary>
<category term="deep learning" scheme="http://yoursite.com/tags/deep-learning/"/>
<category term="object detection" scheme="http://yoursite.com/tags/object-detection/"/>
</entry>
<entry>
<title>YOLO（You Only Look Once）v1笔记</title>
<link href="http://yoursite.com/2018/08/02/YOLO_v1/"/>
<id>http://yoursite.com/2018/08/02/YOLO_v1/</id>
<published>2018-08-02T02:06:44.000Z</published>
<updated>2018-08-01T18:44:16.871Z</updated>
<summary type="html">
<p>这篇博客主要介绍下CVPR 2016 YOLO v1算法（CVPR2016的文章）。YOLO是比较流行的object detection算法，速度快且结构简单，这里算法部分介绍的是YOLO的第一个版本，而现在YOLO的官网上已经有YOLO
</summary>
<category term="deep learning" scheme="http://yoursite.com/tags/deep-learning/"/>
</entry>
<entry>
<title>2x2 Tables (SN, SP, PPV, NPV, OR, RR)</title>
<link href="http://yoursite.com/2018/07/31/2x2-Tables-SN-SP-PPV-NPV-OR-RR/"/>
<id>http://yoursite.com/2018/07/31/2x2-Tables-SN-SP-PPV-NPV-OR-RR/</id>
<published>2018-07-31T04:22:27.000Z</published>
<updated>2018-08-01T18:44:41.530Z</updated>
<summary type="html">
<blockquote>
<p>这篇文章是我做毕设的时候发现的，也是我最初学到的医学领域上的一些指标，遂记录下来以防忘记，如不慎侵权请联系我。<br>This page was found by me during my senior year, in case I
</summary>
<category term="knowledge" scheme="http://yoursite.com/tags/knowledge/"/>
</entry>
<entry>
<title>选择性搜索（selective search）</title>
<link href="http://yoursite.com/2018/07/30/selective_search/"/>
<id>http://yoursite.com/2018/07/30/selective_search/</id>
<published>2018-07-30T12:28:44.000Z</published>
<updated>2018-07-30T04:32:29.607Z</updated>
<summary type="html">
<p>该文翻译整理自：<a href="https://www.learnopencv.com/selective-search-for-object-detection-cpp-python/" target="_blank" rel="noopener">selective
</summary>
<category term="deep learning" scheme="http://yoursite.com/tags/deep-learning/"/>
</entry>
<entry>
<title>📜论文翻译 Faster R-CNN：利用区域提案网络实现实时目标检测</title>
<link href="http://yoursite.com/2018/07/24/fasterrcnn_translation/"/>
<id>http://yoursite.com/2018/07/24/fasterrcnn_translation/</id>
<published>2018-07-24T03:01:23.000Z</published>
<updated>2018-07-30T19:39:50.320Z</updated>
<summary type="html">
<h2 id="摘要"><a href="#摘要" class="headerlink" title="摘要"></a>摘要</h2><p>目前最先进的目标检测网络需要先用区域提案算法推测目标位置，像SPPnet<sup>1</sup>和Fast
</summary>
<category term="deep learning" scheme="http://yoursite.com/tags/deep-learning/"/>
<category term="translation" scheme="http://yoursite.com/tags/translation/"/>
</entry>
<entry>
<title>📜论文翻译 Fast R-CNN</title>
<link href="http://yoursite.com/2018/07/22/fastrcnn_translation/"/>
<id>http://yoursite.com/2018/07/22/fastrcnn_translation/</id>
<published>2018-07-22T08:20:23.000Z</published>
<updated>2018-07-30T19:20:44.526Z</updated>
<summary type="html">
<h2 id="摘要"><a href="#摘要" class="headerlink" title="摘要"></a>摘要</h2><p>本文提出了一种快速的基于区域的卷积网络方法（fast R-CNN）用于目标检测。Fast
</summary>
<category term="deep learning" scheme="http://yoursite.com/tags/deep-learning/"/>
<category term="translation" scheme="http://yoursite.com/tags/translation/"/>
</entry>
<entry>
<title>📜论文翻译 Rich feature hierarchies for accurate object detection and semantic segmentation (用于精确物体定位和语义分割的丰富特征层次结构-2014)</title>
<link href="http://yoursite.com/2018/07/21/rcnn_translation/"/>
<id>http://yoursite.com/2018/07/21/rcnn_translation/</id>
<published>2018-07-21T12:20:23.000Z</published>
<updated>2018-07-23T23:22:07.006Z</updated>
<summary type="html">
<h2 id="摘要"><a href="#摘要" class="headerlink"
</summary>
<category term="deep learning" scheme="http://yoursite.com/tags/deep-learning/"/>
<category term="translation" scheme="http://yoursite.com/tags/translation/"/>
</entry>
<entry>
<title>caffe:train_val.prototxt,solver.prototxt,deploy.prototxt</title>
<link href="http://yoursite.com/2018/07/13/caffe-train-val-prototxt-solver-prototxt-deploy-prototxt/"/>
<id>http://yoursite.com/2018/07/13/caffe-train-val-prototxt-solver-prototxt-deploy-prototxt/</id>
<published>2018-07-13T02:38:09.000Z</published>
<updated>2018-07-23T22:52:03.485Z</updated>
<summary type="html">
<h2 id="caffe中train-val-prototxt和deploy-prototxt文件的区别"><a href="#caffe中train-val-prototxt和deploy-prototxt文件的区别" class="headerlink"
</summary>
<category term="caffe" scheme="http://yoursite.com/tags/caffe/"/>
<category term="deep learning" scheme="http://yoursite.com/tags/deep-learning/"/>
</entry>
<entry>
<title>图像语义分割综述</title>
<link href="http://yoursite.com/2018/07/08/%E5%9B%BE%E5%83%8F%E8%AF%AD%E4%B9%89%E5%88%86%E5%89%B2%E7%BB%BC%E8%BF%B0/"/>
<id>http://yoursite.com/2018/07/08/图像语义分割综述/</id>
<published>2018-07-08T12:38:44.000Z</published>
<updated>2019-10-30T09:26:22.481Z</updated>
<summary type="html">
<h2 id="1-研究历史"><a href="#1-研究历史" class="headerlink" title="1 研究历史"></a>1 研究历史</h2><h3 id="patch-classification"><a
</summary>
<category term="deep learning" scheme="http://yoursite.com/tags/deep-learning/"/>
<category term="semantic segmentation" scheme="http://yoursite.com/tags/semantic-segmentation/"/>
</entry>
<entry>
<title>Hexo tutorial</title>
<link href="http://yoursite.com/2018/07/01/Hexo%20tutorial/"/>
<id>http://yoursite.com/2018/07/01/Hexo tutorial/</id>
<published>2018-07-01T09:19:10.000Z</published>
<updated>2019-10-30T09:24:57.978Z</updated>
<summary type="html">
<p>Welcome to <a href="https://hexo.io/" target="_blank" rel="noopener">Hexo</a>! This is your very first post. Check <a
</summary>
</entry>
</feed>