Add model card (#1)
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Co-authored-by: Niels Rogge <[email protected]>
README.md
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license: apache-2.0
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license: apache-2.0
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pipeline_tag: image-segmentation
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Semantic Library Adaptation (SemLA) is a training-free, test-time domain adaptation framework that dynamically retrieves and merges the most relevant LoRA adapters from a library based on semantic similarity to the target domain. SemLA constructs tailored models for each input without additional training, offering scalability, explainability, and privacy preservation. See [the paper](https://arxiv.org/abs/2503.21780) for more details.
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Code: https://github.com/rezaqorbani/SemLA
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Project page: https://thegoodailab.org/semla
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