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title: README |
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emoji: 👀 |
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license: mit |
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https://cdn-uploads.huggingface.co/production/uploads/65d65a40531e0bc924f0b1a3/6tV18h0u5JX0YtrZreK4E.png |
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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://www.alphaxiv.org/abs/2506.14842">arXiv:2506.14842</a></li> |
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<li><strong>Website:</strong> <a href="https://pictsure.github.io/">PictSure.eu</a></li> |
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</ul> |
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<h3>🔍 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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<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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<img src="https://cdn-uploads.huggingface.co/production/uploads/65d65a40531e0bc924f0b1a3/6tV18h0u5JX0YtrZreK4E.png" alt="PictSure Logo" width="600"/> |
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</div> |
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