2 papers
cs.CV2026
Deep Evidential Regression for Sparse Forest Height Estimation from Multimodal Satellite Imagery
Laura Bader, Muhammad Ammar Ahmed, Xiao Xiang Zhu +1
Accurate estimation of forest height from satellite imagery is essential for applications such as carbon accounting, biodiversity monitoring, and ecosystem management. While recent…
cs.CL2025
Revisiting Active Learning under (Human) Label Variation
Cornelia Gruber, Helen Alber, Bernd Bischl +3
Access to high-quality labeled data remains a limiting factor in applied supervised learning. While label variation (LV), i.e., differing labels for the same instance, is common, e…