2 papers
cs.CV2025
Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
Jeongin Kim, Wonho Bae, YouLee Han +4
Semantic segmentation demands dense pixel-level annotations, which can be prohibitively expensive - especially under extremely constrained labeling budgets. In this paper, we addre…
cs.LG2025
Uncertainty Herding: One Active Learning Method for All Label Budgets
Wonho Bae, Gabriel L. Oliveira, Danica J. Sutherland
Most active learning research has focused on methods which perform well when many labels are available, but can be dramatically worse than random selection when label budgets are s…