most citedMapping Diffuse Radio Sources Using TUNA: A Transformer-Based Deep Learning Approach

2 citations · 2 across the 4 of their papers we have counts for

collaborators
Showing astro-ph.IMShow all

2 papers · 1 filter

astro-ph.IM2025

Estimating Flux Densities of Diffuse Cosmological Radio Sources Exploiting Vision Transformers

Nicoletta Sanvitale, Claudio Gheller, Franco Vazza +3

We present TUNA, a Vision-Transformer based network adapted from segmentation to flux regression for faint, diffuse radio emission. Trained on LOFAR-like mock observations derived…

astro-ph.IM2025★ 2 cited

Mapping Diffuse Radio Sources Using TUNA: A Transformer-Based Deep Learning Approach

Nicoletta Sanvitale, Claudio Gheller, Franco Vazza +6

Vision Transformers are used via a customized TransUNet architecture, which is a hybrid model combining Transformers into a U-Net backbone, to achieve precise, automated, and fast…