most citedUsing Deep Learning Methods to Detect for Ultra-diffuse Galaxies in KiDS

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

astro-ph.GA2026

Morphology classification for galaxies in the Kilo Degree Survey using a label-efficient self-supervised learning framework

Xu Huang, Rui Li, Liang Gao +14

Galaxy morphology classification is fundamental to understanding galaxy formation and evolution. The advent of large-scale sky surveys has produced an unprecedented volume of galax…

astro-ph.GA2025★ 1 cited

Using Deep Learning Methods to Detect for Ultra-diffuse Galaxies in KiDS

Hao Su, Rui Li, Nicola R. Napolitano +13

Ultra-diffuse Galaxies (UDGs) are a subset of Low Surface Brightness Galaxies (LSBGs), showing mean effective surface brightness fainter than and a d…