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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
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<html>
<head>
<title>VOST: Video Object Segmentation under Transformations</title>
<meta property="og:title" content="VOST: Video Object Segmentation under Transformation" />
<meta property="og:image" content="" />
<meta property="og:image:width" content="3000" />
<meta property="og:image:height" content="800" />
</head>
<body style="background-color:rgb(9, 10, 10);">
<br><br><br><br>
<center>
<span style="font-size:38px;color: #eee;">VOST: Video Object Segmentation under Transformations</span>
<br><br>
<table align=center width=850px style="font-size:20px;color: #eee;">
<tr>
<td align=center width=150px>
<center>
<span><a href="index.html" style="color: rgb(141, 206, 236);"> [Home]</a></span>
</center>
</td>
<td align=center width=150px>
<center>
<span><a href="https://arxiv.org/abs/2212.06200" style="color: rgb(141, 206, 236);"> [Paper]</a></span>
</center>
</td>
<td align=center width=150px>
<center>
<span><a href="data.html" style="color: rgb(141, 206, 236);"> [Data]</a></span>
</center>
</td>
<td align=center width=150px>
<center>
<span><a href="https://github.com/TRI-ML/VOST" style="color: rgb(141, 206, 236);"> [Code]</a></span>
</center>
</td>
<td align=center width=150px>
<center>
<span><a href="workshop.html" style="color: rgb(141, 206, 236);"> [Workshop]</a></span>
</center>
</td>
</tr>
<tr>
</table>
<br>
<table align=center width=1100>
<tr>
<td width=254px>
<center>
<a href="figs/1403_cut_corn.gif"><img src = "figs/1403_cut_corn.gif" width="95%"></img></href></a><br>
</center>
</td>
<td width=225px>
<center>
<a href="figs/4751_mold_clay.gif"><img src = "figs/4751_mold_clay.gif" width="95%"></img></href></a><br>
</center>
</td>
<td width=300px>
<center>
<a href="figs/3525_break_eggs.gif"><img src = "figs/3525_break_eggs.gif" width="95%"></img></href></a><br>
</center>
</td>
<td width=225px>
<center>
<a href="figs/9672_divide_wheel.gif"><img src = "figs/9672_divide_wheel.gif" width="95%"></img></href></a><br>
</center>
</td>
</tr>
</table>
</center>
<br>
<hr style="color:white;background-color:white;height:2px">
<table align=center>
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<center>
<h1 style="color:rgb(234, 242, 242);">Dataset</h1>
<p style="width:960px; text-align:left; color:rgb(234, 242, 242);">VOST is a semi-supervised video object segmentation benchmark that focuses on complex object transformations. Differently from existing datasets, objects in VOST are broken, torn and molded into new shapes, dramatically changing their overall appearance. As our experiments demonstrate, this presents a major challenge for the mainstream, appearance-centric VOS methods.
The dataset consists of more than 700 high-resolution videos, captured in diverse environments, which are 21 seconds long on average and densely labeled with instance masks. A careful, multi-step approach is adopted to ensure that these videos focus on complex transformations, capturing their full temporal extent. Below, we provide a few key statistics of the dataset.
</p>
</center>
<ul style="color:rgb(234, 242, 242);padding-left:2.5cm">
<li style="padding-left: 10px;margin-bottom: 10px">Number of videos: 713</li>
<li style="padding-left: 10px;margin-bottom: 10px">Number of frames: 75 547</li>
<li style="padding-left: 10px;margin-bottom: 10px">Number of transformations: 51</li>
<li style="padding-left: 10px;margin-bottom: 10px">Number of object categories: 154</li>
<li style="padding-left: 10px;margin-bottom: 10px">Annotation rate: 5 fps</li>
<li style="padding-left: 10px">Average video length: 21.2 seconds</li>
</ul>
</div>
</table>
<br>
<hr style="color:white;background-color:white;height:2px">
<center>
<h1 style="color:rgb(234, 242, 242);">Baseline Results</h1>
<table border="0" align="center" cellspacing="0" cellpadding="20">
<div class='row'>
<center>
<p style="width:960px; text-align:left; color:rgb(234, 242, 242);">The video below shows the outputs of the AOT+ baseline from our paper on a few videos from the validation and test sets of VOST. AOT+ is an extension of <a href="https://proceedings.neurips.cc/paper/2021/file/147702db07145348245dc5a2f2fe5683-Paper.pdf" style="color: rgb(141, 206, 236);">AOT</a> which improves its spatio-temporal modeling capacity. However, this model still largely relies on static appearance cues and struggles with complex transformations.
</p>
</center>
</div>
<td align="center" valign="middle">
<iframe width="560" height="315" src="https://www.youtube.com/embed/SBdA6HCXf_M" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
</td>
</table>
</center>
<br/>
<hr style="color:white;background-color:white;height:2px">
<!-- <table align=center width=550px> -->
<table align=center width=800px>
<center><h1 style="color:rgb(234, 242, 242);">Paper</h1></center>
<tr>
<td><a href="https://arxiv.org/abs/2212.06200"><img class="layered-paper-big" style="height:175px" src="./figs/firstpage.png"/></a></td>
<td><span style="color:rgb(234, 242, 242);font-size:14pt">Pavel Tokmakov, Jie Li, Adrien Gaidon.<br>
<i><a href="https://arxiv.org/abs/2212.06200" style="color: rgb(141, 206, 236);">Breaking the “Object” in Video Object Segmentation.</a></i><br>
CVPR 2023.<br>
</a>
<span style="font-size:4pt"><a href=""><br></a>
</span>
</td>
</td>
</tr>
</table>
<table align=center width=600px>
<tr>
<td><span style="font-size:14pt"><center>
<a href="./figs/bibtex.txt" style="color: rgb(141, 206, 236);">[Bibtex]</a>
</center></td>
</tr>
</table>
<br/>
<hr style="color:white;background-color:white;height:2px">
<table align=center width=600px>
<tr>
<td><span style="font-size:12pt"><center>
<address>
<span style="color:rgb(234, 242, 242)">Email:</span>
<a href="mailto:[email protected]" style="color: rgb(141, 206, 236);"> [email protected]</a>
</address>
</td>
</tr>
</table>
</table>
</left>
</td>
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</table>
</body>
</html>