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Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
Jeongin Kim, Wonho Bae, YouLee Han, Giyeong Oh, Youngjae Yu, Danica J. Sutherland, Junhyug Noh
Conference on Neural Information Processing Systems (NeurIPS), 2025
arXiv / Code
We propose a two-stage active learning pipeline for semantic segmentation under extremely low labeling budgets, which leverages a pre-trained diffusion model for diverse feature extraction and introduces an uncertainty score to select the most informative pixels for annotation.
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