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<div class="WordSection1">
<p class="MsoNormal"><span lang="EN-US">(apologies for multiple copies)<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">===================================<o:p></o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US">CALL FOR COMPETITION: SAM 2024<o:p></o:p></span></b></p>
<p class="MsoNormal"><span lang="EN-US"><a href="https://ai4ch.uniud.it/udiadscomp/">https://ai4ch.uniud.it/udiadscomp/</a>
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">===================================<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">We are glad to announce <b>SAM</b>: International Competition on Few-Shot and Many-Shot Layout
<b>S</b>egmentation of <b>A</b>ncient <b>M</b>anuscripts, in conjunction with the 18th International Conference on Document Analysis and Recognition ICDAR 2024.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US">Competition Overview:<o:p></o:p></span></b></p>
<p class="MsoNormal"><span lang="EN-US">Layout segmentation is a critical aspect of Document Image Analysis, particularly when it comes to ancient manuscripts. It consists in decomposing the document in several regions representing title, main text, paratext,
etc.. We invite the research community to address this task on U-DIADS-Bib, a novel dataset of fully-labelled ancient manuscripts.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US">Competition Tasks:<o:p></o:p></span></b></p>
<p class="MsoNormal"><span lang="EN-US">We propose two separate tasks. Participants can try only one of them or both.<o:p></o:p></span></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo3"><span lang="EN-US">Few-Shot Segmentation: participants are asked to develop a layout segmentation system using only three images for each manuscript as a training set<o:p></o:p></span></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo3"><span lang="EN-US">Many-Shot Segmentation: participants have access to the full dataset (except for the private data that will be used for the final evaluation)<o:p></o:p></span></li></ul>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US">Important Dates:<o:p></o:p></span></b></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo3"><span lang="EN-US">Beginning of Track 1: January 15, 2024<o:p></o:p></span></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo3"><span lang="EN-US">Deadline of Track 1: March 3, 2024<o:p></o:p></span></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo3"><span lang="EN-US">Beginning of Track 2: Match 4, 2024<o:p></o:p></span></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo3"><span lang="EN-US">Deadline of Track 2: March 31, 2024<o:p></o:p></span></li></ul>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US">Prizes:<o:p></o:p></span></b></p>
<p class="MsoNormal"><span lang="EN-US">Winners of each task will be eligible for a cash prize of 300 EUR sponsored by CVPL – Italian Association for Computer Vision, Pattern Recognition and Machine Learning, IAPR Italian chapter.<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-US">For any additional information, please visit the website:
<a href="https://ai4ch.uniud.it/udiadscomp/">https://ai4ch.uniud.it/udiadscomp/</a>
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span lang="EN-US">Organizers:<o:p></o:p></span></b></p>
<p class="MsoNormal"><span lang="EN-US">Silvia Zottin, <a href="mailto:zottin.silvia@spes.uniud.it">
zottin.silvia@spes.uniud.it</a><o:p></o:p></span></p>
<p class="MsoNormal">Axel De Nardin, <a href="mailto:denardin.axel@spes.uniud.it">
denardin.axel@spes.uniud.it</a><o:p></o:p></p>
<p class="MsoNormal">Claudio Piciarelli, <a href="mailto:claudio.piciarelli@uniud.it">
claudio.piciarelli@uniud.it</a><o:p></o:p></p>
<p class="MsoNormal">Gian Luca Foresti, <a href="mailto:gianluca.foresti@uniud.it">
gianluca.foresti@uniud.it</a><o:p></o:p></p>
<p class="MsoNormal">Emanuela Colombi, <a href="mailto:emanuela.colombi@uniud.it">
emanuela.colombi@uniud.it</a><o:p></o:p></p>
<p class="MsoNormal"><span lang="EN-US">AI4CH - Artificial Intelligence for Cultural Heritage Lab, University of Udine.
<a href="https://ai4ch.uniud.it/">https://ai4ch.uniud.it/</a> <o:p></o:p></span></p>
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