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  <div style="display: flex; align-items: top; justify-content: space-between;">
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  <div>
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- <h2>PictSure Model Family</h2>
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  <ul>
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  <li><strong>Repo:</strong> <a href="https://github.com/PictSure/pictsure-library">PictSure on GitHub</a></li>
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  <li><strong>Paper:</strong> <a href="https://arxiv.org/abs/2506.14842">arXiv:2506.14842</a></li>
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  <h3>๐Ÿ” Summary</h3>
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  <p>
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  PictSure is a lightweight vision-only in-context learning (ICL) family of models for few-shot image classification (FSIC).
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- It uses pretrained frozen ResNet/ViT embeddings and outperforms CLIP-based models on out-of-domain tasks like medical imaging.
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  </p>
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- <h3>๐Ÿ“Š Highlights</h3>
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- <ul>
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- <li>No fine-tuning required</li>
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- <li>Purely visual embeddings</li>
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- <li>Strong out-of-domain generalization</li>
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- </ul>
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- <p><strong>License:</strong> MIT</p>
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  <p>
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  <strong>Contacts:</strong>
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- <a href="mailto:lukas.schiesser@dfki.de">lukas.schiesser@dfki.de</a>;
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  <a href="mailto:cornelius.wolff@cwi.nl">cornelius.wolff@cwi.nl</a>
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  </p>
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  </div>
 
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  ---
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  <div style="display: flex; align-items: top; justify-content: space-between;">
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  <div>
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+ <h1>PictSure Model Family</h1>
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  <ul>
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  <li><strong>Repo:</strong> <a href="https://github.com/PictSure/pictsure-library">PictSure on GitHub</a></li>
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  <li><strong>Paper:</strong> <a href="https://arxiv.org/abs/2506.14842">arXiv:2506.14842</a></li>
 
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  <h3>๐Ÿ” Summary</h3>
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  <p>
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  PictSure is a lightweight vision-only in-context learning (ICL) family of models for few-shot image classification (FSIC).
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+ It uses pretrained frozen embeddings and outperforms CLIP-based models on out-of-domain tasks like medical imaging.
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  </p>
 
 
 
 
 
 
 
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  <p>
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  <strong>Contacts:</strong>
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+ <a href="mailto:lukas.schiesser@dfki.de">lukas.schiesser@dfki.de</a> &
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  <a href="mailto:cornelius.wolff@cwi.nl">cornelius.wolff@cwi.nl</a>
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  </p>
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  </div>