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<p class="xelementtoproof" style="background:white"><span lang="EN-US" style="color:black">===================================</span><span lang="EN-US"><o:p></o:p></span></p>
<p style="margin:0cm;background:white"><b><span lang="EN-US" style="color:black">CALL FOR COMPETITION: FEST @ ICDAR 2025<o:p></o:p></span></b></p>
<p style="margin:0cm;background:white"><b><span lang="EN-US" style="color:black">Competition on few-shot text line segmentation
</span></b><span lang="EN-US"><o:p></o:p></span></p>
<p class="xelementtoproof" style="background:white"><span style="color:black"><a href="https://ai4ch.uniud.it/FESTcompICDAR25/" target="_blank" title="https://ai4ch.uniud.it/FESTcompICDAR25/"><span lang="EN-US">https://ai4ch.uniud.it/FESTcompICDAR25/</span></a></span><span lang="EN-US"><o:p></o:p></span></p>
<p style="margin:0cm;background:white"><span lang="EN-US" style="color:black">===================================</span><span lang="EN-US"><o:p></o:p></span></p>
<p style="margin:0cm;background:white"><span lang="EN-US" style="color:black"> </span><span lang="EN-US"><o:p></o:p></span></p>
<p style="margin:0cm;background:white"><span lang="EN-US" style="color:black">We are glad to announce
<b>FEST</b>: Competition on <b>FE</b>w-<b>S</b>hot <b>T</b>ext line segmentation of ancient handwritten documents (FEST), in conjunction with the 19th International Conference on Document Analysis and Recognition ICDAR 2025.</span><span lang="EN-US"><o:p></o:p></span></p>
<p style="margin:0cm;background:white"><span lang="EN-US" style="color:black"> </span><span lang="EN-US"><o:p></o:p></span></p>
<p style="margin:0cm;background:white"><b><span lang="EN-US" style="color:black">Competition Overview:</span></b><span lang="EN-US"><o:p></o:p></span></p>
<p style="margin:0cm;background:white"><span lang="EN-US" style="color:black">Text line segmentation is a crucial component of Document Image Analysis, particularly for ancient handwritten documents. It directly influences subsequent tasks like optical character
recognition, layout analysis, and information extraction.</span><span lang="EN-US"><o:p></o:p></span></p>
<p style="margin:0cm;background:white"><span lang="EN-US" style="color:black">This competition challenges participants to develop systems capable of segmenting text lines using only three annotated images per manuscript for training. The dataset features a
diverse collection of ancient manuscripts with varying layouts, levels of degradation, and non-standard formatting, reflecting real-world complexities. By focusing on few-shot learning, this competition aims to encourage the development of methods that can
be readily applied by humanities scholars without the need for extensive manual annotation, fostering broader adoption of automated document analysis tools.</span><span lang="EN-US"><o:p></o:p></span></p>
<p style="margin:0cm;background:white"><span lang="EN-US" style="color:black"> </span><span lang="EN-US"><o:p></o:p></span></p>
<p style="margin:0cm;background:white"><b><span lang="EN-US" style="color:black">Competition Tasks:</span></b><span lang="EN-US"><o:p></o:p></span></p>
<p style="margin:0cm;background:white"><span lang="EN-US" style="color:black">We challenge the participants to perform the task of
<b>textline segmentation</b> on the proposed dataset, U-DIADS-TL, in a <b>few-shot setting</b>, providing only three images, with their corresponding ground truths, as the training set for each of the three manuscripts comprising it.</span><span lang="EN-US"><o:p></o:p></span></p>
<p style="margin:0cm;background:white"><span lang="EN-US" style="color:black"> </span><span lang="EN-US"><o:p></o:p></span></p>
<p style="margin:0cm;background:white"><b><span lang="EN-US" style="color:black">Important Dates:</span></b><span lang="EN-US"><o:p></o:p></span></p>
<p class="xmsonormal" style="margin-left:51.75pt;text-indent:-18.0pt;background:white">
<span style="font-size:10.0pt;font-family:Symbol;color:black">·</span><span lang="EN-US" style="font-size:7.0pt;font-family:"Times New Roman",serif;color:black">
</span><span lang="EN-US" style="color:black">Registration Open: 10 December, 2024</span><span lang="EN-US"><o:p></o:p></span></p>
<p class="xmsonormal" style="margin-left:51.75pt;text-indent:-18.0pt;background:white">
<span style="font-size:10.0pt;font-family:Symbol;color:black">·</span><span lang="EN-US" style="font-size:7.0pt;font-family:"Times New Roman",serif;color:black">
</span><span lang="EN-US" style="color:black">Test set release to participants: 7 April, 2025</span><span lang="EN-US"><o:p></o:p></span></p>
<p class="xmsonormal" style="margin-left:51.75pt;text-indent:-18.0pt;background:white">
<span style="font-size:10.0pt;font-family:Symbol;color:black">·</span><span lang="EN-US" style="font-size:7.0pt;font-family:"Times New Roman",serif;color:black">
</span><span lang="EN-US" style="color:black">Deadline of the Competition: 20 April, 2025</span><span lang="EN-US"><o:p></o:p></span></p>
<p class="xmsonormal" style="margin-left:51.75pt;text-indent:-18.0pt;background:white">
<span style="font-size:10.0pt;font-family:Symbol;color:black">·</span><span lang="EN-US" style="font-size:7.0pt;font-family:"Times New Roman",serif;color:black">
</span><span lang="EN-US" style="color:black">Winner announcement: 30 June, 2025</span><span lang="EN-US"><o:p></o:p></span></p>
<p class="xmsonormal" style="background:white"><span lang="EN-US" style="color:black"> </span><span lang="EN-US"><o:p></o:p></span></p>
<p class="xmsonormal" style="background:white"><span lang="EN-US" style="color:black"> </span><span lang="EN-US"><o:p></o:p></span></p>
<p style="margin:0cm;background:white"><span lang="EN-US" style="color:black">For any additional information, please visit the website:
</span><span style="color:black;background:white"><a href="https://ai4ch.uniud.it/FESTcompICDAR25/" target="_blank" title="https://ai4ch.uniud.it/FESTcompICDAR25/"><span lang="EN-US">https://ai4ch.uniud.it/FESTcompICDAR25/</span></a></span><span lang="EN-US"><o:p></o:p></span></p>
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