2 papers
cs.CV2026
Vision-Language-Guided Pseudo-Labels for Unsupervised Domain Adaptation in Semantic Segmentation for Waste Sorting
Udo Schlegel, Shubhangi, Gabriel Dax +3
Obtaining labeled data for semantic segmentation in applied settings (e.g., autonomous driving, industrial waste sorting) is expensive and often infeasible at scale. We present a c…
cs.CV2023
Semi-supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation
Hao Li, Zhendong Yuan, Gabriel Dax +4
Accurate building height estimation is key to the automatic derivation of 3D city models from emerging big geospatial data, including Volunteered Geographical Information (VGI). Ho…