UrbanCross: Enhancing Satellite Image-Text Retrieval with Cross-Domain Adaptation

Understand

Urbanization challenges underscore the necessity for effective satellite image-text retrieval methods to swiftly access specific information enriched with geographic semantics for urban applications.

• However, existing methods often overlook significant domain gaps across diverse urban landscapes, primarily focusing on enhancing retrieval performance within single domains.
• To tackle this issue, we present UrbanCross, a new framework for cross-domain satellite image-text retrieval.
• UrbanCross leverages a high-quality, cross-domain dataset enriched with extensive geo-tags from three countries to highlight domain diversity.