This is an official PyTorch implementation of our NeurIPS 2023 paper "GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization"
This repository contains all necessary meta information, results and source files to reproduce the results in the publication Eric Müller-Budack, Kader Pustu-Iren, Ralph Ewerth: "Geolocation Estimation of Photos using a Hierarchical Model and Scene Classification", In: European Conference on Computer Vision (ECCV), Munich, 2018.
Source code for the paper "GeoWINE: Geolocation based Wiki, Image, News and Events Retrieval"
Authors official PyTorch implementation of the "Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location Estimation" [ICMR 2021] and "Leveraging Selective Prediction for Reliable Image Geolocation" [MMM 2022]
Get your geo-location details with live location on map
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