no code implementations • 2 May 2024 • Chenying Liu, Conrad Albrecht, Yi Wang, Xiao Xiang Zhu
We study the potential of noisy labels y to pretrain semantic segmentation models in a multi-modal learning framework for geospatial applications.
no code implementations • 25 Feb 2024 • Chenying Liu, Conrad Albrecht, Yi Wang, Xiao Xiang Zhu
In this work, we propose to explore the under-exploited potential of noisy labels for segmentation task specific pretraining, and exam its robustness when confronted with mismatched categories and different decoders during fine-tuning.
no code implementations • 20 May 2020 • Rui Zhang, Conrad Albrecht, Wei zhang, Xiaodong Cui, Ulrich Finkler, David Kung, Siyuan Lu
Accurately and globally mapping human infrastructure is an important and challenging task with applications in routing, regulation compliance monitoring, and natural disaster response management etc..