AI RESEARCH
STRADAViT: Towards a Foundational Model for Radio Astronomy through Self-Supervised Transfer
arXiv CS.CV
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ArXi:2603.29660v1 Announce Type: cross Next-generation radio astronomy surveys are producing millions of resolved sources, but robust morphology analysis remains difficult across heterogeneous telescopes and imaging pipelines. We present STRADAViT, a self-supervised Vision Transformer continued-pre