Text captions of radio galaxy images can classify FR-I vs FR-II morphologies comparably to image embeddings, but LoRA fine-tuning improves local class coherence without improving global image-text alignment.
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2 Pith papers cite this work, alongside 15 external citations. Polarity classification is still indexing.
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Pith papers citing it
15
external citations · OpenAlex
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astro-ph.IM 2years
2026 2representative citing papers
Hyrax is a GPU-enabled open-source framework for the full ML lifecycle in astronomy, with demonstrations of unsupervised discovery and classification on real survey data from Rubin, ZTF, and other projects.
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Exploring Image-Text Alignment for Radio Galaxy Morphologies
Text captions of radio galaxy images can classify FR-I vs FR-II morphologies comparably to image embeddings, but LoRA fine-tuning improves local class coherence without improving global image-text alignment.
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Hyrax: An Extensible Framework for Rapid ML Experimentation and Unsupervised Discovery in the Era of Rubin, Roman, and Euclid
Hyrax is a GPU-enabled open-source framework for the full ML lifecycle in astronomy, with demonstrations of unsupervised discovery and classification on real survey data from Rubin, ZTF, and other projects.