<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>2020 on Simplestory</title><link>https://simplestory.github.io/categories/2020/</link><description>Recent content in 2020 on Simplestory</description><generator>Hugo</generator><language>zh-cn</language><copyright>Simplestory</copyright><lastBuildDate>Fri, 20 Nov 2020 00:00:00 +0000</lastBuildDate><atom:link href="https://simplestory.github.io/categories/2020/index.xml" rel="self" type="application/rss+xml"/><item><title>Object Detection</title><link>https://simplestory.github.io/posts/20201120_0595a0de31914bca4c526fb50d30b2dd/</link><pubDate>Fri, 20 Nov 2020 00:00:00 +0000</pubDate><guid>https://simplestory.github.io/posts/20201120_0595a0de31914bca4c526fb50d30b2dd/</guid><description>Object Detection in 20 Years</description></item><item><title>Anchor free--Centernet</title><link>https://simplestory.github.io/posts/20201025_93f382c06f3476ad1f59351e0d99f842/</link><pubDate>Sun, 25 Oct 2020 00:00:00 +0000</pubDate><guid>https://simplestory.github.io/posts/20201025_93f382c06f3476ad1f59351e0d99f842/</guid><description>Objects as Points</description></item><item><title>一些常见的损失函数</title><link>https://simplestory.github.io/posts/20201018_25c3043509dadf35f8ecc40adf5a369c/</link><pubDate>Sun, 18 Oct 2020 00:00:00 +0000</pubDate><guid>https://simplestory.github.io/posts/20201018_25c3043509dadf35f8ecc40adf5a369c/</guid><description>some loss function</description></item><item><title>Efficient模型家族</title><link>https://simplestory.github.io/posts/20201003_fc3691951ecd38cc130a442bcc0566ed/</link><pubDate>Sat, 03 Oct 2020 00:00:00 +0000</pubDate><guid>https://simplestory.github.io/posts/20201003_fc3691951ecd38cc130a442bcc0566ed/</guid><description>EfficientX basic family</description></item><item><title>几种IOU损失</title><link>https://simplestory.github.io/posts/20200926_ffb198e96e96a613e471e2f2eb1ae86c/</link><pubDate>Sat, 26 Sep 2020 00:00:00 +0000</pubDate><guid>https://simplestory.github.io/posts/20200926_ffb198e96e96a613e471e2f2eb1ae86c/</guid><description>&lt;blockquote&gt;
&lt;p&gt;IoU是目标检测里的一个重要指标，它是通过计算预测框与真实框的交集和并集的比值来衡量预测框的优劣。但通常的预测框调整函数一般采用的是L2范数，即以MSE的方式来计算损失，而目前来看，一些研究表明这并非最优的优化函数，所以就有了IOU损失函数。&lt;/p&gt;
&lt;/blockquote&gt;</description></item><item><title>MobileNetV2</title><link>https://simplestory.github.io/posts/20200426_02a6a4457d33491491495f7fe2b383d1/</link><pubDate>Sun, 26 Apr 2020 00:00:00 +0000</pubDate><guid>https://simplestory.github.io/posts/20200426_02a6a4457d33491491495f7fe2b383d1/</guid><description>Inverted Residuals and Linear Bottlenecks</description></item><item><title>Mask RCNN</title><link>https://simplestory.github.io/posts/20200210_ba14ebd4efe67efd08cdc6410e758633/</link><pubDate>Mon, 10 Feb 2020 00:00:00 +0000</pubDate><guid>https://simplestory.github.io/posts/20200210_ba14ebd4efe67efd08cdc6410e758633/</guid><description>without bells and whistles</description></item><item><title>YOLO_v3</title><link>https://simplestory.github.io/posts/20200115_1789a504337212c61f0b46c458695b7c/</link><pubDate>Fri, 17 Jan 2020 00:00:00 +0000</pubDate><guid>https://simplestory.github.io/posts/20200115_1789a504337212c61f0b46c458695b7c/</guid><description>An Incremental Improvement</description></item><item><title>YOLO_v2 and YOLO9000</title><link>https://simplestory.github.io/posts/20200110_aa4020065e766e48007d2b3ae229757d/</link><pubDate>Fri, 10 Jan 2020 00:00:00 +0000</pubDate><guid>https://simplestory.github.io/posts/20200110_aa4020065e766e48007d2b3ae229757d/</guid><description>Better, Faster, Stronger</description></item><item><title>YOLO_v1</title><link>https://simplestory.github.io/posts/20200101_83ba412c3f5a7a54968bf73cc917cd13/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://simplestory.github.io/posts/20200101_83ba412c3f5a7a54968bf73cc917cd13/</guid><description>You Only Look Once</description></item></channel></rss>