AI RESEARCH

TIGeR: A Unified Framework for Time, Images and Geo-location Retrieval

arXiv CS.CV

ArXi:2603.24749v1 Announce Type: new Many real-world applications in digital forensics, urban monitoring, and environmental analysis require jointly reasoning about visual appearance, geolocation, and time. Beyond standard geo-localization and time-of-capture prediction, these applications increasingly demand complex capabilities, such as retrieving an image captured at the same location as a query image but at a specified target time. We formalize this problem as Geo-Time Aware Image Retrieval and curate a diverse benchmark of 4.5M paired image-location-time triplets for.