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license: apache-2.0
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.
Code: https://github.com/rezaqorbani/SemLA
Project page: https://thegoodailab.org/semla |