STRADAViT: Self-Supervised Domain Adaptation of Vision Transformer Backbones for Radio Astronomy
astro-ph.IM, cs.CV
Submitted: 2026-03-31
Updated: 2026-09-16
Code: https://github.com/andreademarco86/stradav
Terminology
Sources
- Radio Galaxy Zoo: Leveraging latent space representations from variational autoencoder
- Radio Astronomy in the Era of Vision-Language Models: Prompt Sensitivity and Adaptation
- Decoupled Weight Decay Regularization
- UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
- DINOv2: Learning Robust Visual Features without Supervision
- Detection and classification of radio sources with deep learning
- Self-supervised contrastive learning of radio data for source detection, classification and peculiar object discovery
- The LOFAR Two-metre Sky Survey -- V. Second data release
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