GPS Embeddings
1 papers with code • 2 benchmarks • 0 datasets
GPS Embeddings is the collective name for a set of feature-learning techniques where GPS coordinates are mapped to vectors of real numbers.
Benchmarks
These leaderboards are used to track progress in GPS Embeddings
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Most implemented papers
GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization
VicenteVivan/geo-clip
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NeurIPS 2023
Worldwide Geo-localization aims to pinpoint the precise location of images taken anywhere on Earth.
