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<head>
<meta charset="utf-8" />
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<link rel="icon" type="image/png" href="../img/favicon.ico">
<title>Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval</title>
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<body>
<table align=center width=600px>
<tr><td align=center width=600px>
<center><img src = "./images/logo.png" height="75px"></img><br></center>
</td></tr>
</table>
<center><span style="font-size:44px;font-weight:bold;">Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval</span></center><br/>
<table align=center width=950px>
<tr>
<td align=center width=230px>
<center><span style="font-size:22px"><a href="http://ayankumarbhunia.github.io/" target="_blank">Ayan Kumar Bhunia</a></span></center></td>
<td align=center width=200px>
<center><span style="font-size:22px"><a href="https://www.surrey.ac.uk/people/yongxin-yang/" target="_blank">Yongxin Yang</a></span></center></td>
<td align=center width=230px>
<center><span style="font-size:22px"><a href="https://homepages.inf.ed.ac.uk/thospeda/" target="_blank">Timothy Hospedales</a></span></center></td>
<td align=center width=230px>
<center><span style="font-size:22px"><a href="http://personal.ee.surrey.ac.uk/Personal/T.Xiang/index.html/" target="_blank">Tao (Tony) Xiang</a></span></center></td>
<td align=center width=180px>
<center><span style="font-size:22px"><a href="http://personal.ee.surrey.ac.uk/Personal/Y.Song/" target="_blank">Yi-Zhe Song</a></span></center></td>
<tr/>
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<!-- <center><span style="font-size:20px">SketchX, CVSSP, University of Surrey, United Kingdom</span></center></td>-->
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<!-- <center><span style="font-size:20px">CMU</span></center></td>-->
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<!-- <center><span style="font-size:20px">CMU/FAIR</span></center></td>-->
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<!-- <center><span style="font-size:20px">UIUC</span></center></td>-->
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<!-- </table>-->
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<tr>
<td align=center width=800px><center><span style="font-size:22px">SketchX, Centre for Vision Speech and Signal Processing, <br /> University of Surrey, United Kingdom </span></center></td>
<tr/>
</table><br/>
<table align=center width=700px>
<tr>
<td align=center width=700px><center><span style="font-size:22px">Published at <a href="http://cvpr2020.thecvf.com/">CVPR, 2020 (Oral)</a> </span></center></td>
<tr/>
</table><br/>
<table align=center width=700px>
<tr>
<td align=center width=70px><center><span style="font-size:28px"><a href="https://arxiv.org/pdf/2002.10310.pdf">[Paper]</a></span></center></td>
<td align=center width=70px><center><span style="font-size:28px"><a href="https://www.youtube.com/watch?v=JVyFexPEu-U">[Talk]</a></span></center></td>
<td align=center width=70px><center><span style="font-size:28px"><a href="https://github.com/AyanKumarBhunia/on-the-fly-FGSBIR/blob/master/images/4367-talk.pdf">[Slides]</a></span></center></td>
<td align=center width=100px><center><span style="font-size:28px"><a href="https://github.com/AyanKumarBhunia/on-the-fly-FGSBIR">[GitHub]</a></span></center></td>
<!-- <td align=center width=100px><center><span style="font-size:28px"><a href='https://github.com/devendrachaplot/Neural-SLAM'>[GitHub Code]</a></span></center></td>-->
<tr/>
</table><br/>
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<center><img src = "./images/Capture1.png" height="420px"></img><br></center>
</td></tr>
</table>
<br>
<div style="width:800px; margin:0 auto; text-align=justify">
Fine-grained sketch-based image retrieval (FG-SBIR) addresses the problem of retrieving a particular photo instance given a user's query sketch. Its widespread applicability is however hindered by the fact that drawing a sketch takes time, and most people struggle to draw a complete and faithful sketch. In this paper, we reformulate the conventional FG-SBIR framework to tackle these challenges, with the ultimate goal of retrieving the target photo with the least number of strokes possible. We further propose an on-the-fly design that starts retrieving as soon as the user starts drawing. To accomplish this, we devise a reinforcement learning-based cross-modal retrieval framework that directly optimizes rank of the ground-truth photo over a complete sketch drawing episode. Additionally, we introduce a novel reward scheme that circumvents the problems related to irrelevant sketch strokes, and thus provides us with a more consistent rank list during the retrieval. We achieve superior early-retrieval efficiency over state-of-the-art methods and alternative baselines on two publicly available fine-grained sketch retrieval datasets.</div>
<br><hr>
<center><h1>On-the-Fly Retrieval</h1></center>
<div style="width:800px; margin:0 auto; text-align=justify">
Illustration of proposed on-the-fly framework's efficacy over a baseline FG-SBIR method trained with completed sketches only. For this particular example, our method needs only 30% of the complete sketch to include the true match in the top-10 rank list, compared to 80% for the baseline. Top-5 photo images retrieved by either framework are shown here, in progressive sketch-rendering steps of 10%. The number at the bottom denotes the paired (true match) photo's rank at every stage.
</div><br/>
<table align=center width=1000px>
<p style="margin-top:4px;"></p>
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<center><a href="./images/example.jpg"><img src = "./images/example.jpg" width="800px"></img></a><br></center>
</td></tr>
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<br/><hr>
<center><h1>Short Presentation</h1></center>
<table align=center width=300px>
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<br><hr>
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<center><h1>Paper and Bibtex</h1></center>
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<td width=200px align=left>
<!-- <p style="margin-top:4px;"></p> -->
<a href="https://arxiv.org/pdf/2002.10310.pdf"><img style="width:200px" src="./images/4367-teaser.gif"/></a>
<center>
<span style="font-size:20pt"><a href="https://arxiv.org/pdf/2002.10310.pdf">[Paper]</a>
<!-- <span style="font-size:20pt"><a href="https://arxiv.org/abs/1902.05546v2">[ArXiv]</a>-->
<!-- <span style="font-size:20pt"><a href="resources/slides.pdf">[Slides]</a></span>-->
<!-- <span style="font-size:20pt"><a href="resources/poster.pdf">[Poster]</a></span>-->
</center>
</td>
<td width=50px align=center>
</td>
<td width=550px align=left>
<!-- <p style="margin-top:4px;"></p> -->
<!-- Chaplot, D.S., Gandhi, D., Gupta, S., Gupta, A. and Salakhutdinov, R., 2020. Learning To Explore Using Active Neural SLAM. In International Conference on Learning Representations (ICLR).-->
<p style="text-align:left;"><b><span style="font-size:20pt">Citation</span></b><br/><span style="font-size:6px;"> <br/></span> <span style="font-size:15pt"> Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval. In CVPR 2020.</span></p>
<!-- <p style="margin-top:20px;"></p> -->
<span style="font-size:20pt"><a shape="rect" href="javascript:togglebib('assemblies19_bib')" class="togglebib">[Bibtex]</a></span>
<div class="paper" id="assemblies19_bib">
<pre xml:space="preserve">
@inproceedings{bhunia2020sketch,
title={Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval},
author={Ayan Kumar Bhunia and Yongxin Yang and Timothy M. Hospedales and Tao Xiang and Yi-Zhe Song},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
year={2020}
}
</pre>
</div>
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<br><hr>
<div style="width:800px; margin:0 auto; text-align=justify">
</div><br/>
<table align=center width=1000px>
<p style="margin-top:4px;"></p>
<tr><td width=1200px>
<center><a href="./images/4367-teaser.gif"><img src = "./images/4367-teaser.gif" width="512px"></img></a><br></center>
</td></tr>
</table>
<br/><hr>
<table align=center width=800px>
<tr><td width=800px><left>
<center><h1>Acknowledgements</h1></center>
<br>
Website template from <a href="https://richzhang.github.io/colorization">here</a> and <a href="https://pathak22.github.io/modular-assemblies/">here</a>. <br>
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