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Found 6 papers, 4 papers with code
Parameter Efficient Self-Supervised Geospatial Domain Adaptation
As large-scale foundation models become publicly available for different domains efficiently adapting them to individual downstream applications and additional data modalities has turned into a central challenge.
Ben-ge: Extending BigEarthNet with Geographical and Environmental Data
Based on this dataset, we showcase the value of combining different data modalities for the downstream tasks of patch-based land-use/land-cover classification and land-use/land-cover segmentation.
Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery
In this work, we augment small human medical datasets with in-vitro data and animal models.
Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space
Air pollution is a major driver of climate change.
Power Plant Classification from Remote Imaging with Deep Learning
Using a ResNet-50 deep learning model, we are able to achieve a mean accuracy of 90. 0% in distinguishing 10 different power plant types and a background class.
Characterization of Industrial Smoke Plumes from Remote Sensing Data
The major driver of global warming has been identified as the anthropogenic release of greenhouse gas (GHG) emissions from industrial activities.
