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<!DOCTYPE html>
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<head>
<meta charset="utf-8">
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<meta name="description" content="SSl4EO">
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<title>SSL4EO: Self-Supervised Learning for Earth Observation</title>
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<h1 class="title is-1 publication-title">SSL4EO: Self-Supervised Learning for Earth Observation</h1>
<div class="is-size-5 publication-authors">
<span class="author-block"> July 01-05, 2024 </span>
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<div class="is-size-5 publication-authors">
<span class="author-block">Copenhagen, Denmark</span>
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<div class="columns is-centered has-text-centered" style="background-image: url('https://neo.gsfc.nasa.gov/servlet/RenderData?si=1948120&cs=rgb&format=JPEG&width=720&height=360'); background-position: center; position: relative; background-size: cover;">
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<a href="https://neo.gsfc.nasa.gov/servlet/RenderData?si=1948120&cs=rgb&format=JPEG&width=720&height=360">NASA Earth Observatory CC BY-SA 2.5</a>
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<h2 class="title is-3">Welcome</h2>
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<p>🌍🌍 Welcome to the PhD course <b>SSL4EO: Self-Supervised Learning for Earth Observation! 🌍🌍</b></p>
<p> Are you passionate about Earth observation? Eager to explore cutting-edge techniques in self-supervised learning?
Look no further! Our specialized course will equip you with an overview of existing SSL techniques before we discuss the specific characteristics of Earth observation data that provide both challenges and opportunities in SSL.</p>
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<h2 class="title">Course Resources</h2>
<ul class="ml-3">
<li><strong>Course review:</strong> <b><a href="https://langnico.github.io/posts/SSL4EO-2024-review/"> Nico Lang @Github </a> </b> </li>
<li><strong>Slides:</strong> <b><a href="https://drive.google.com/drive/folders/1w98tdDctMOVy0ToD1lt9ZM3V2vV3VXtV?usp=sharing"> Google Drive </a> </b> </li>
<li><strong>Recordings:</strong> <b><a href="https://www.youtube.com/playlist?list=PLZbT99RJ8DPM2VtPhgWaACm9uiEmRfB6t"> Youtube</a> </b> </li>
</ul>
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<h2 class="title">Course Overview</h2>
<ul class="ml-3">
<li><strong>Dates:</strong> <b>July 01 - 05, 2024</b> </li>
<li><strong>Location:</strong> <b><a href="https://maps.app.goo.gl/yntNFf7eMHzQBm9SA"> Festsalen, Øster Voldgade 10, 1350 Copenhagen, Denmark </a> </b> </li>
</ul>
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<p><strong>Why Attend?</strong>
<ul class="ml-3">
<li>Get an overview of self-supervised learning (SSL) methods.</li>
<li>Discuss challenges and opportunities for SSL tailored for Earth observation data.</li>
<li>Collaborate with fellow PhD students and build a strong network within the community.</li>
<li>Gain hands-on experience through practical projects.</li>
</ul>
</p>
</div>
</div>
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<div class="container">
<p><strong>Who Should Attend?</strong>
<ul class="ml-3">
<li>PhD students in computer science, remote sensing, geospatial sciences, or related fields.</li>
<li>Researchers and practitioners interested in leveraging self-supervised learning for Earth observation tasks.</li>
</ul>
</p>
<br>
<p><strong>Course Requirements</strong>
<ul class="ml-3">
<li>Knowledge of basic Deep Learning concepts (e.g., supervised learning).</li>
<li>Experience with Pytorch (highly recommended).</li>
</ul>
</p>
<br>
<li><strong>Registration: <a href="https://eventsignup.ku.dk/ssl4eo/signup"> https://eventsignup.ku.dk/ssl4eo/signup </a></strong></li>
<li><strong>Registration Fee:</strong> The course registration fee in 1600 DKK. (This covers coffee breaks, social activities, and two group dinners.)</li>
<li><strong>Credit points:</strong> PhD students will be able to earn 2.5 ECTS for the course which is registered at the University of Copenhagen.</li>
<li><strong>Questions?:</strong> Contact us at <a href="mailto:[email protected]"> {stefan.oehmcke, nila, ak}@di.ku.dk</a></li>
</ul>
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<h2 class="title">Speakers</h2>
<ul>
<li><a href="https://randallbalestriero.github.io/"> Randall Balestriero, META AI </a></li>
<li><a href="https://marcrusswurm.com/"> Marc Russwurm, Wageningen University</a></li>
<li><a href="https://konstantinklemmer.github.io/"> Konstantin Klemmer, Microsoft Research</a></li>
<li><a href="https://brunosan.eu/"> Bruno Sánchez-Andrade Nuño, Clay</a></li>
<li><a href="https://www.astro.uzh.ch/en/research/research-groups/Jan-Dirk-Wegner.html"> Jan Dirk Wegner, University of Zurich </a></li>
<li><a href="https://ieeexplore.ieee.org/author/37086067170">Zhitong Xiong, Technical University of Munich</a></li>
<li><a href="https://www.professoren.tum.de/en/zhu-xiaoxiang">Xiaoxiang Zhu, Technical University of Munich</a></li>
<li><a href="https://linkedin.com/in/puzhao-zhang-a672b5183 ">Puzhao Zhang, DHI</a></li>
</ul>
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<h2 class="title">Program</h2>
<ul>
<li>Start: Monday, July 01, 09:00</li>
<li>End: Friday, July 05, 13:00</li>
</ul>
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<p><strong>Topics covered</strong></p>
<ul>
<li>Introduction and overview of Self-Supervised Learning</li>
<li> Families of SSL approaches </li>
<li>Challenges in SSL</li>
<li>Opportunities for SSL in Earth Observations</li>
<li>Task-specific SSL</li>
<li>Geographic location encoding</li>
<li>Cross-modal representation learning</li>
</ul>
</div>
<div class="container">
<br>
<p><strong>Tentative schedule</strong></p>
<iframe width='100%' height='680' src="https://docs.google.com/spreadsheets/d/e/2PACX-1vSHgPiX6hquHVkii73zW-f4z1Asrgz58J_YiR-TtrC2QjLUuDzslkafMPW1yWZXQ17125HuNsKatAxq/pubhtml?gid=979486439&single=true&widget=true&headers=false"></iframe>
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<h2 class="title">Poster session</h2>
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<li> <strong> We are planning a pre-ICML/post-CVPR meetup in collaboration with <a href="https://www.aicentre.dk/collaboratories/learning-theory-and-optimisation">P1/LO-collab</a>.</strong></li>
<li> When: July 03, Wednesday, 16:00 - 18:00 </li>
<li> Food: There will be food and beverages!</li>
<li> Register: Please sign up if you’d like to present: <a href="https://forms.gle/P8Kdt69WPZ4TPQFZA"> https://forms.gle/P8Kdt69WPZ4TPQFZA </a> </li>
<li> Print: We are happy to support you with printing the posters on-site. Please contact the organizers. </li>
</ul>
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<h2 class="title">Organizers</h2>
<ul>
<li> <a href="https://di.ku.dk/english/staff/?pure=en/persons/641966"> Stefan Oehmcke, University of Copenhagen </a> <a href="mailto:[email protected]"> ✉ </a> </li>
<li> <a href="https://langnico.github.io/"> Nico Lang, University of Copenhagen </a> <a href="mailto:[email protected]"> ✉ </a> </li>
<li> <a href="https://ankitkariryaa.github.io/"> Ankit Kariryaa, University of Copenhagen </a> <a href="mailto:[email protected]"> ✉ </a> </li>
<li> <a href="https://christian-igel.github.io/"> Christian Igel, University of Copenhagen </a> <a href="mailto:[email protected]"> ✉ </a> </li>
<li> <a href="https://ign.ku.dk/english/research/geography/terrestrial-ecosystem-analysis/?pure=en/persons/24386"> Rasmus Fensholt, University of Copenhagen </a> <a href="mailto:[email protected]"> ✉ </a> </li>
</ul>
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<h2 class="title">Resources</h2>
<ul>
<li> <a href="https://docs.google.com/presentation/d/1bWEyEoCFiMw46PcZGJK_KozlBfhAFidslUH-3NaX9Bw/edit?usp=sharing"> Intro Slides</a> </li>
<li> <a href="https://github.com/StefOe/SSL4EO_base"> Github Repo</a> </li>
</ul>
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</section>
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<h2 class="title">Supported by</h2>
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<li> <a href="https://ku.dk/english"> University of Copenhagen </a> </li>
<li> <a href="https://www.deic.dk/en"> Danish e-infrastructure Consortium (DeiC) </a> </li>
<li> <a href="https://www.aicentre.dk/"> Pioneer Centre for AI </a> </li>
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