most citedThe classification of real and bogus transients using active learning and semi-supervised learning

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2025

Consistency Change Detection Framework for Unsupervised Remote Sensing Change Detection

Yating Liu, Yan Lu

Unsupervised remote sensing change detection aims to monitor and analyze changes from multi-temporal remote sensing images in the same geometric region at different times, without…

astro-ph.IM2024★ 6 cited

The classification of real and bogus transients using active learning and semi-supervised learning

Yating Liu, Lulu Fan, Lei Hu +6

Deep-learning-based methods have been favored in astrophysics owing to their adaptability and remarkable performance and have been applied to the task of the classification of real…