mirrors
/
deep-person-reid
mirror of https://github.com/KaiyangZhou/deep-person-reid.git
1
0
Fork 0
Code Issues Projects Releases Wiki Activity
deep-person-reid/MODEL_ZOO.html

647 lines
24 KiB
HTML
Raw Blame History

This file contains ambiguous Unicode characters!

This file contains ambiguous Unicode characters that may be confused with others in your current locale. If your use case is intentional and legitimate, you can safely ignore this warning. Use the Escape button to highlight these characters.

<!DOCTYPE html>
<html class="writer-html5" lang="en" >
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Model Zoo &mdash; torchreid 1.4.0 documentation</title>
<link rel="stylesheet" href="_static/css/theme.css" type="text/css" />
<link rel="stylesheet" href="_static/pygments.css" type="text/css" />
<!--[if lt IE 9]>
<script src="_static/js/html5shiv.min.js"></script>
<![endif]-->
<script type="text/javascript" id="documentation_options" data-url_root="./" src="_static/documentation_options.js"></script>
<script type="text/javascript" src="_static/jquery.js"></script>
<script type="text/javascript" src="_static/underscore.js"></script>
<script type="text/javascript" src="_static/doctools.js"></script>
<script type="text/javascript" src="_static/language_data.js"></script>
<script async="async" type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/latest.js?config=TeX-AMS-MML_HTMLorMML"></script>
<script type="text/javascript" src="_static/js/theme.js"></script>
<link rel="index" title="Index" href="genindex.html" />
<link rel="search" title="Search" href="search.html" />
<link rel="prev" title="Awesome-ReID" href="AWESOME_REID.html" />
</head>
<body class="wy-body-for-nav">
<div class="wy-grid-for-nav">
<nav data-toggle="wy-nav-shift" class="wy-nav-side">
<div class="wy-side-scroll">
<div class="wy-side-nav-search" >
<a href="index.html" class="icon icon-home" alt="Documentation Home"> torchreid
</a>
<div class="version">
1.4.0
</div>
<div role="search">
<form id="rtd-search-form" class="wy-form" action="search.html" method="get">
<input type="text" name="q" placeholder="Search docs" />
<input type="hidden" name="check_keywords" value="yes" />
<input type="hidden" name="area" value="default" />
</form>
</div>
</div>
<div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="main navigation">
<ul>
<li class="toctree-l1"><a class="reference internal" href="user_guide.html">How-to</a></li>
<li class="toctree-l1"><a class="reference internal" href="datasets.html">Datasets</a></li>
<li class="toctree-l1"><a class="reference internal" href="evaluation.html">Evaluation</a></li>
</ul>
<p class="caption"><span class="caption-text">Package Reference</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="pkg/data.html">torchreid.data</a></li>
<li class="toctree-l1"><a class="reference internal" href="pkg/engine.html">torchreid.engine</a></li>
<li class="toctree-l1"><a class="reference internal" href="pkg/losses.html">torchreid.losses</a></li>
<li class="toctree-l1"><a class="reference internal" href="pkg/metrics.html">torchreid.metrics</a></li>
<li class="toctree-l1"><a class="reference internal" href="pkg/models.html">torchreid.models</a></li>
<li class="toctree-l1"><a class="reference internal" href="pkg/optim.html">torchreid.optim</a></li>
<li class="toctree-l1"><a class="reference internal" href="pkg/utils.html">torchreid.utils</a></li>
</ul>
<p class="caption"><span class="caption-text">Resources</span></p>
<ul class="current">
<li class="toctree-l1"><a class="reference internal" href="AWESOME_REID.html">Awesome-ReID</a></li>
<li class="toctree-l1 current"><a class="current reference internal" href="#">Model Zoo</a><ul>
<li class="toctree-l2"><a class="reference internal" href="#imagenet-pretrained-models">ImageNet pretrained models</a></li>
<li class="toctree-l2"><a class="reference internal" href="#same-domain-reid">Same-domain ReID</a></li>
<li class="toctree-l2"><a class="reference internal" href="#cross-domain-reid">Cross-domain ReID</a><ul>
<li class="toctree-l3"><a class="reference internal" href="#market1501-dukemtmc-reid">Market1501 -&gt; DukeMTMC-reID</a></li>
<li class="toctree-l3"><a class="reference internal" href="#dukemtmc-reid-market1501">DukeMTMC-reID -&gt; Market1501</a></li>
<li class="toctree-l3"><a class="reference internal" href="#msmt17-combineall-true-market1501-dukemtmc-reid">MSMT17 (<code class="docutils literal notranslate"><span class="pre">combineall=True</span></code>) -&gt; Market1501 &amp; DukeMTMC-reID</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</div>
</div>
</nav>
<section data-toggle="wy-nav-shift" class="wy-nav-content-wrap">
<nav class="wy-nav-top" aria-label="top navigation">
<i data-toggle="wy-nav-top" class="fa fa-bars"></i>
<a href="index.html">torchreid</a>
</nav>
<div class="wy-nav-content">
<div class="rst-content">
<div role="navigation" aria-label="breadcrumbs navigation">
<ul class="wy-breadcrumbs">
<li><a href="index.html" class="icon icon-home"></a> &raquo;</li>
<li>Model Zoo</li>
<li class="wy-breadcrumbs-aside">
<a href="_sources/MODEL_ZOO.md.txt" rel="nofollow"> View page source</a>
</li>
</ul>
<hr/>
</div>
<div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
<div itemprop="articleBody">
<div class="section" id="model-zoo">
<h1>Model Zoo<a class="headerlink" href="#model-zoo" title="Permalink to this headline"></a></h1>
<ul class="simple">
<li><p>Results are presented in the format of <em>&lt;Rank-1 (mAP)&gt;</em>.</p></li>
<li><p>When computing model size and FLOPs, only layers that are used at test time are considered (see <code class="docutils literal notranslate"><span class="pre">torchreid.utils.compute_model_complexity</span></code>).</p></li>
<li><p>Asterisk (*) means the model is trained from scratch.</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">combineall=True</span></code> means all images in the dataset are used for model training.</p></li>
<li><p>Why not use heavy data augmentation like <a class="reference external" href="https://arxiv.org/abs/1708.04896">random erasing</a> for model training? It’s because heavy data augmentation might harm the cross-dataset generalization performance (see <a class="reference external" href="https://arxiv.org/abs/1708.04896">this paper</a>).</p></li>
</ul>
<div class="section" id="imagenet-pretrained-models">
<h2>ImageNet pretrained models<a class="headerlink" href="#imagenet-pretrained-models" title="Permalink to this headline"></a></h2>
<table border="1" class="docutils">
<thead>
<tr>
<th align="left">Model</th>
<th align="center">Download</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">shufflenet</td>
<td align="center"><a href="https://drive.google.com/file/d/1RFnYcHK1TM-yt3yLsNecaKCoFO4Yb6a-/view?usp=sharing">model</a></td>
</tr>
<tr>
<td align="left">mobilenetv2_x1_0</td>
<td align="center"><a href="https://drive.google.com/file/d/1K7_CZE_L_Tf-BRY6_vVm0G-0ZKjVWh3R/view?usp=sharing">model</a></td>
</tr>
<tr>
<td align="left">mobilenetv2_x1_4</td>
<td align="center"><a href="https://drive.google.com/file/d/10c0ToIGIVI0QZTx284nJe8QfSJl5bIta/view?usp=sharing">model</a></td>
</tr>
<tr>
<td align="left">mlfn</td>
<td align="center"><a href="https://drive.google.com/file/d/1PP8Eygct5OF4YItYRfA3qypYY9xiqHuV/view?usp=sharing">model</a></td>
</tr>
<tr>
<td align="left">osnet_x1_0</td>
<td align="center"><a href="https://drive.google.com/file/d/1LaG1EJpHrxdAxKnSCJ_i0u-nbxSAeiFY/view?usp=sharing">model</a></td>
</tr>
<tr>
<td align="left">osnet_x0_75</td>
<td align="center"><a href="https://drive.google.com/file/d/1uwA9fElHOk3ZogwbeY5GkLI6QPTX70Hq/view?usp=sharing">model</a></td>
</tr>
<tr>
<td align="left">osnet_x0_5</td>
<td align="center"><a href="https://drive.google.com/file/d/16DGLbZukvVYgINws8u8deSaOqjybZ83i/view?usp=sharing">model</a></td>
</tr>
<tr>
<td align="left">osnet_x0_25</td>
<td align="center"><a href="https://drive.google.com/file/d/1rb8UN5ZzPKRc_xvtHlyDh-cSz88YX9hs/view?usp=sharing">model</a></td>
</tr>
<tr>
<td align="left">osnet_ibn_x1_0</td>
<td align="center"><a href="https://drive.google.com/file/d/1sr90V6irlYYDd4_4ISU2iruoRG8J__6l/view?usp=sharing">model</a></td>
</tr>
<tr>
<td align="left">osnet_ain_x1_0</td>
<td align="center"><a href="https://drive.google.com/file/d/1-CaioD9NaqbHK_kzSMW8VE4_3KcsRjEo/view?usp=sharing">model</a></td>
</tr>
</tbody>
</table></div>
<div class="section" id="same-domain-reid">
<h2>Same-domain ReID<a class="headerlink" href="#same-domain-reid" title="Permalink to this headline"></a></h2>
<table border="1" class="docutils">
<thead>
<tr>
<th align="left">Model</th>
<th align="center"># Param (10^6)</th>
<th align="center">GFLOPs</th>
<th align="center">Loss</th>
<th align="center">Input</th>
<th align="center">Transforms</th>
<th align="center">Distance</th>
<th align="center">market1501</th>
<th align="center">dukemtmcreid</th>
<th align="center">msmt17</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">resnet50</td>
<td align="center">23.5</td>
<td align="center">2.7</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>random_crop</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://drive.google.com/file/d/1dUUZ4rHDWohmsQXCRe2C_HbYkzz94iBV/view?usp=sharing">87.9 (70.4)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/17ymnLglnc64NRvGOitY3BqMRS9UWd1wg/view?usp=sharing">78.3 (58.9)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/1ep7RypVDOthCRIAqDnn4_N-UhkkFHJsj/view?usp=sharing">63.2 (33.9)</a></td>
</tr>
<tr>
<td align="left">resnet50_fc512</td>
<td align="center">24.6</td>
<td align="center">4.1</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>random_crop</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://drive.google.com/file/d/1kv8l5laX_YCdIGVCetjlNdzKIA3NvsSt/view?usp=sharing">90.8 (75.3)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/13QN8Mp3XH81GK4BPGXobKHKyTGH50Rtx/view?usp=sharing">81.0 (64.0)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/1fDJLcz4O5wxNSUvImIIjoaIF9u1Rwaud/view?usp=sharing">69.6 (38.4)</a></td>
</tr>
<tr>
<td align="left">mlfn</td>
<td align="center">32.5</td>
<td align="center">2.8</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>random_crop</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://drive.google.com/file/d/1wXcvhA_b1kpDfrt9s2Pma-MHxtj9pmvS/view?usp=sharing">90.1 (74.3)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/1rExgrTNb0VCIcOnXfMsbwSUW1h2L1Bum/view?usp=sharing">81.1 (63.2)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/18JzsZlJb3Wm7irCbZbZ07TN4IFKvR6p-/view?usp=sharing">66.4 (37.2)</a></td>
</tr>
<tr>
<td align="left">hacnn<sup>*</sup></td>
<td align="center">4.5</td>
<td align="center">0.5</td>
<td align="center">softmax</td>
<td align="center">(160, 64)</td>
<td align="center"><code>random_flip</code>, <code>random_crop</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://drive.google.com/file/d/1LRKIQduThwGxMDQMiVkTScBwR7WidmYF/view?usp=sharing">90.9 (75.6)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/1zNm6tP4ozFUCUQ7Sv1Z98EAJWXJEhtYH/view?usp=sharing">80.1 (63.2)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/1MsKRtPM5WJ3_Tk2xC0aGOO7pM3VaFDNZ/view?usp=sharing">64.7 (37.2)</a></td>
</tr>
<tr>
<td align="left">mobilenetv2_x1_0</td>
<td align="center">2.2</td>
<td align="center">0.2</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>random_crop</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://drive.google.com/file/d/18DgHC2ZJkjekVoqBWszD8_Xiikz-fewp/view?usp=sharing">85.6 (67.3)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/1q1WU2FETRJ3BXcpVtfJUuqq4z3psetds/view?usp=sharing">74.2 (54.7)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/1j50Hv14NOUAg7ZeB3frzfX-WYLi7SrhZ/view?usp=sharing">57.4 (29.3)</a></td>
</tr>
<tr>
<td align="left">mobilenetv2_x1_4</td>
<td align="center">4.3</td>
<td align="center">0.4</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>random_crop</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://drive.google.com/file/d/1t6JCqphJG-fwwPVkRLmGGyEBhGOf2GO5/view?usp=sharing">87.0 (68.5)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/12uD5FeVqLg9-AFDju2L7SQxjmPb4zpBN/view?usp=sharing">76.2 (55.8)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/1ZY5P2Zgm-3RbDpbXM0kIBMPvspeNIbXz/view?usp=sharing">60.1 (31.5)</a></td>
</tr>
<tr>
<td align="left">osnet_x1_0</td>
<td align="center">2.2</td>
<td align="center">0.98</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://drive.google.com/file/d/1vduhq5DpN2q1g4fYEZfPI17MJeh9qyrA/view?usp=sharing">94.2 (82.6)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/1QZO_4sNf4hdOKKKzKc-TZU9WW1v6zQbq/view?usp=sharing">87.0 (70.2)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/112EMUfBPYeYg70w-syK6V6Mx8-Qb9Q1M/view?usp=sharing">74.9 (43.8)</a></td>
</tr>
<tr>
<td align="left">osnet_x0_75</td>
<td align="center">1.3</td>
<td align="center">0.57</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://drive.google.com/file/d/1ozRaDSQw_EQ8_93OUmjDbvLXw9TnfPer/view?usp=sharing">93.7 (81.2)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/1IE3KRaTPp4OUa6PGTFL_d5_KQSJbP0Or/view?usp=sharing">85.8 (69.8)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/1QEGO6WnJ-BmUzVPd3q9NoaO_GsPNlmWc/view?usp=sharing">72.8 (41.4)</a></td>
</tr>
<tr>
<td align="left">osnet_x0_5</td>
<td align="center">0.6</td>
<td align="center">0.27</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://drive.google.com/file/d/1PLB9rgqrUM7blWrg4QlprCuPT7ILYGKT/view?usp=sharing">92.5 (79.8)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/1KoUVqmiST175hnkALg9XuTi1oYpqcyTu/view?usp=sharing">85.1 (67.4)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/1UT3AxIaDvS2PdxzZmbkLmjtiqq7AIKCv/view?usp=sharing">69.7 (37.5)</a></td>
</tr>
<tr>
<td align="left">osnet_x0_25</td>
<td align="center">0.2</td>
<td align="center">0.08</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center"><a href="https://drive.google.com/file/d/1z1UghYvOTtjx7kEoRfmqSMu-z62J6MAj/view?usp=sharing">91.2 (75.0)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/1eumrtiXT4NOspjyEV4j8cHmlOaaCGk5l/view?usp=sharing">82.0 (61.4)</a></td>
<td align="center"><a href="https://drive.google.com/file/d/1sSwXSUlj4_tHZequ_iZ8w_Jh0VaRQMqF/view?usp=sharing">61.4 (29.5)</a></td>
</tr>
</tbody>
</table></div>
<div class="section" id="cross-domain-reid">
<h2>Cross-domain ReID<a class="headerlink" href="#cross-domain-reid" title="Permalink to this headline"></a></h2>
<div class="section" id="market1501-dukemtmc-reid">
<h3>Market1501 -&gt; DukeMTMC-reID<a class="headerlink" href="#market1501-dukemtmc-reid" title="Permalink to this headline"></a></h3>
<table border="1" class="docutils">
<thead>
<tr>
<th align="left">Model</th>
<th align="center"># Param (10^6)</th>
<th align="center">GFLOPs</th>
<th align="center">Loss</th>
<th align="center">Input</th>
<th align="center">Transforms</th>
<th align="center">Distance</th>
<th align="center">Rank-1</th>
<th align="center">Rank-5</th>
<th align="center">Rank-10</th>
<th align="center">mAP</th>
<th align="center">Download</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">osnet_ibn_x1_0</td>
<td align="center">2.2</td>
<td align="center">0.98</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center">48.5</td>
<td align="center">62.3</td>
<td align="center">67.4</td>
<td align="center">26.7</td>
<td align="center"><a href="https://drive.google.com/file/d/1uWW7_z_IcUmRNPqQOrEBdsvic94fWH37/view?usp=sharing">model</a></td>
</tr>
<tr>
<td align="left">osnet_ain_x1_0</td>
<td align="center">2.2</td>
<td align="center">0.98</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>cosine</code></td>
<td align="center">52.4</td>
<td align="center">66.1</td>
<td align="center">71.2</td>
<td align="center">30.5</td>
<td align="center"><a href="https://drive.google.com/file/d/14bNFGm0FhwHEkEpYKqKiDWjLNhXywFAd/view?usp=sharing">model</a></td>
</tr>
</tbody>
</table></div>
<div class="section" id="dukemtmc-reid-market1501">
<h3>DukeMTMC-reID -&gt; Market1501<a class="headerlink" href="#dukemtmc-reid-market1501" title="Permalink to this headline"></a></h3>
<table border="1" class="docutils">
<thead>
<tr>
<th align="left">Model</th>
<th align="center"># Param (10^6)</th>
<th align="center">GFLOPs</th>
<th align="center">Loss</th>
<th align="center">Input</th>
<th align="center">Transforms</th>
<th align="center">Distance</th>
<th align="center">Rank-1</th>
<th align="center">Rank-5</th>
<th align="center">Rank-10</th>
<th align="center">mAP</th>
<th align="center">Download</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">osnet_ibn_x1_0</td>
<td align="center">2.2</td>
<td align="center">0.98</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center">57.7</td>
<td align="center">73.7</td>
<td align="center">80.0</td>
<td align="center">26.1</td>
<td align="center"><a href="https://drive.google.com/file/d/1CNxL1IP0BjcE1TSttiVOID1VNipAjiF3/view?usp=sharing">model</a></td>
</tr>
<tr>
<td align="left">osnet_ain_x1_0</td>
<td align="center">2.2</td>
<td align="center">0.98</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>cosine</code></td>
<td align="center">61.0</td>
<td align="center">77.0</td>
<td align="center">82.5</td>
<td align="center">30.6</td>
<td align="center"><a href="https://drive.google.com/file/d/1hypJvq8G04SOby6jvF337GEkg5K_bmCw/view?usp=sharing">model</a></td>
</tr>
</tbody>
</table></div>
<div class="section" id="msmt17-combineall-true-market1501-dukemtmc-reid">
<h3>MSMT17 (<code class="docutils literal notranslate"><span class="pre">combineall=True</span></code>) -&gt; Market1501 &amp; DukeMTMC-reID<a class="headerlink" href="#msmt17-combineall-true-market1501-dukemtmc-reid" title="Permalink to this headline"></a></h3>
<table border="1" class="docutils">
<thead>
<tr>
<th align="left">Model</th>
<th align="center"># Param (10^6)</th>
<th align="center">GFLOPs</th>
<th align="center">Loss</th>
<th align="center">Input</th>
<th align="center">Transforms</th>
<th align="center">Distance</th>
<th align="center">msmt17 -&gt; market1501</th>
<th align="center">msmt17 -&gt; dukemtmcreid</th>
<th align="center">Download</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">resnet50</td>
<td align="center">23.5</td>
<td align="center">2.7</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center">46.3 (22.8)</td>
<td align="center">52.3 (32.1)</td>
<td align="center"><a href="">model</a></td>
</tr>
<tr>
<td align="left">osnet_x1_0</td>
<td align="center">2.2</td>
<td align="center">0.98</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center">66.6 (37.5)</td>
<td align="center">66.0 (45.3)</td>
<td align="center"><a href="https://drive.google.com/file/d/1IosIFlLiulGIjwW3H8uMRmx3MzPwf86x/view?usp=sharing">model</a></td>
</tr>
<tr>
<td align="left">osnet_x0_75</td>
<td align="center">1.3</td>
<td align="center">0.57</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center">63.6 (35.5)</td>
<td align="center">65.3 (44.5)</td>
<td align="center"><a href="https://drive.google.com/file/d/1fhjSS_7SUGCioIf2SWXaRGPqIY9j7-uw/view?usp=sharing">model</a></td>
</tr>
<tr>
<td align="left">osnet_x0_5</td>
<td align="center">0.6</td>
<td align="center">0.27</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center">64.3 (34.9)</td>
<td align="center">65.2 (43.3)</td>
<td align="center"><a href="https://drive.google.com/file/d/1DHgmb6XV4fwG3n-CnCM0zdL9nMsZ9_RF/view?usp=sharing">model</a></td>
</tr>
<tr>
<td align="left">osnet_x0_25</td>
<td align="center">0.2</td>
<td align="center">0.08</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center">59.9 (31.0)</td>
<td align="center">61.5 (39.6)</td>
<td align="center"><a href="https://drive.google.com/file/d/1Kkx2zW89jq_NETu4u42CFZTMVD5Hwm6e/view?usp=sharing">model</a></td>
</tr>
<tr>
<td align="left">osnet_ibn_x1_0</td>
<td align="center">2.2</td>
<td align="center">0.98</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>euclidean</code></td>
<td align="center">66.5 (37.2)</td>
<td align="center">67.4 (45.6)</td>
<td align="center"><a href="https://drive.google.com/file/d/1q3Sj2ii34NlfxA4LvmHdWO_75NDRmECJ/view?usp=sharing">model</a></td>
</tr>
<tr>
<td align="left">osnet_ain_x1_0</td>
<td align="center">2.2</td>
<td align="center">0.98</td>
<td align="center">softmax</td>
<td align="center">(256, 128)</td>
<td align="center"><code>random_flip</code>, <code>color_jitter</code></td>
<td align="center"><code>cosine</code></td>
<td align="center">70.1 (43.3)</td>
<td align="center">71.1 (52.7)</td>
<td align="center"><a href="https://drive.google.com/file/d/1SigwBE6mPdqiJMqhuIY4aqC7--5CsMal/view?usp=sharing">model</a></td>
</tr>
</tbody>
</table></div>
</div>
</div>
</div>
</div>
<footer>
<div class="rst-footer-buttons" role="navigation" aria-label="footer navigation">
<a href="AWESOME_REID.html" class="btn btn-neutral float-left" title="Awesome-ReID" accesskey="p" rel="prev"><span class="fa fa-arrow-circle-left"></span> Previous</a>
</div>
<hr/>
<div role="contentinfo">
<p>
&copy; Copyright 2019, Kaiyang Zhou
</p>
</div>
Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a
<a href="https://github.com/rtfd/sphinx_rtd_theme">theme</a>
provided by <a href="https://readthedocs.org">Read the Docs</a>.
</footer>
</div>
</div>
</section>
</div>
<script type="text/javascript">
jQuery(function () {
SphinxRtdTheme.Navigation.enable(true);
});
</script>
</body>
</html>
Reference in New Issue View Git Blame Copy Permalink