Hyperbolic Active Learning Optimization for Semantic Segmentation under Domain Shift

The author introduces HALO, a novel approach using hyperbolic neural networks for active learning in semantic segmentation, setting a new state-of-the-art by interpreting the hyperbolic radius as an indicator of data scarcity and epistemic uncertainty.