
Benchmarking Geospatial Foundation Models under Calibrated Label Errors
A benchmark protocol for fine-tuning under misaligned, coarse, loosely outlined and incomplete labels, applied to five encoders, six decoder heads and nine datasets.
Under Review · CVPR 2027




