2024
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning
ECCV 2024poster
"The volume of unlabelled Earth observation (EO) data is huge, but many important applications lack labelled training data. However, EO data offers the unique opportunity to pair data from different modalities and sensors automatically based on geographic location and time, at virtually no human lab…