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cs.CV2026
MMEarth-Bench: Global Model Adaptation via Multimodal Test-Time Training
Lucia Gordon, Serge Belongie, Christian Igel +1
Recent research in geospatial machine learning demonstrates that models pretrained with self-supervised learning on Earth observation data can perform well on downstream tasks with…
cs.CV2024
Multimodal Fusion Strategies for Mapping Biophysical Landscape Features
Lucia Gordon, Nico Lang, Catherine Ressijac +1
Multimodal aerial data are used to monitor natural systems, and machine learning can significantly accelerate the classification of landscape features within such imagery to benefi…