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Reliable image geolocation is crucial for several applications, ranging from social media geo-tagging to fake news detection. State-of-the-art geolocation methods surpass human performance on the task of geolocation estimation from images.…

Computer Vision and Pattern Recognition · Computer Science 2021-11-24 Apostolos Panagiotopoulos , Giorgos Kordopatis-Zilos , Symeon Papadopoulos

Geolocation is now a vital aspect of modern life, offering numerous benefits but also presenting serious privacy concerns. The advent of large vision-language models (LVLMs) with advanced image-processing capabilities introduces new risks,…

Cryptography and Security · Computer Science 2024-08-20 Yi Liu , Junchen Ding , Gelei Deng , Yuekang Li , Tianwei Zhang , Weisong Sun , Yaowen Zheng , Jingquan Ge , Yang Liu

Image geo-localization is the task of predicting the specific location of an image and requires complex reasoning across visual, geographical, and cultural contexts. While prior Vision Language Models (VLMs) have the best accuracy at this…

Computation and Language · Computer Science 2025-02-21 Zheyuan Zhang , Runze Li , Tasnim Kabir , Jordan Boyd-Graber

When humans play geolocation games such as GeoGuessr, they rely on concrete visual cues, such as road markings, vegetation, or architectural details, to infer where an image was captured. Whether image geolocation models rely on similar…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Emilie Durrieu , Christophe Hurter , Philippe Muller , Victor Boutin

In this paper we address the task of determining the geographical location of an image, a pertinent problem in learning and computer vision. This research was inspired from playing GeoGuessr, a game that tests a humans' ability to localize…

Computer Vision and Pattern Recognition · Computer Science 2018-10-09 Sudharshan Suresh , Nathaniel Chodosh , Montiel Abello

Image geolocalization, the task of identifying the geographic location depicted in an image, is important for applications in crisis response, digital forensics, and location-based intelligence. While recent advances in large language…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Lingyao Li , Runlong Yu , Qikai Hu , Bowei Li , Min Deng , Yang Zhou , Xiaowei Jia

Worldwide image geolocalization-the task of predicting GPS coordinates from images taken anywhere on Earth-poses a fundamental challenge due to the vast diversity in visual content across regions. While recent approaches adopt a two-stage…

Computer Vision and Pattern Recognition · Computer Science 2025-10-15 Pengyue Jia , Seongheon Park , Song Gao , Xiangyu Zhao , Sharon Li

Planet-scale image geolocalization remains a challenging problem due to the diversity of images originating from anywhere in the world. Although approaches based on vision transformers have made significant progress in geolocalization…

Computer Vision and Pattern Recognition · Computer Science 2024-05-30 Lukas Haas , Michal Skreta , Silas Alberti , Chelsea Finn

Geolocation, the task of identifying an image's location, requires complex reasoning and is crucial for navigation, monitoring, and cultural preservation. However, current methods often produce coarse, imprecise, and non-interpretable…

Computer Vision and Pattern Recognition · Computer Science 2026-01-07 Zirui Song , Jingpu Yang , Yuan Huang , Jonathan Tonglet , Zeyu Zhang , Tao Cheng , Meng Fang , Iryna Gurevych , Xiuying Chen

Image geolocalization is the task of identifying the location depicted in a photo based only on its visual information. This task is inherently challenging since many photos have only few, possibly ambiguous cues to their geolocation.…

Computer Vision and Pattern Recognition · Computer Science 2018-08-08 Paul Hongsuck Seo , Tobias Weyand , Jack Sim , Bohyung Han

Planet-scale photo geolocalization is the complex task of estimating the location depicted in an image solely based on its visual content. Due to the success of convolutional neural networks (CNNs), current approaches achieve super-human…

Computer Vision and Pattern Recognition · Computer Science 2021-10-22 Jonas Theiner , Eric Mueller-Budack , Ralph Ewerth

The concept of geo-localization refers to the process of determining where on earth some `entity' is located, typically using Global Positioning System (GPS) coordinates. The entity of interest may be an image, sequence of images, a video,…

Computer Vision and Pattern Recognition · Computer Science 2023-10-13 Daniel Wilson , Xiaohan Zhang , Waqas Sultani , Safwan Wshah

Humans can build a mental map of a geographical area to find their way and recognize places. The basic task we consider is geo-localization - finding the pose (position & orientation) of a camera in a large 3D scene from a single image. We…

Computer Vision and Pattern Recognition · Computer Science 2019-06-27 Moti Kadosh , Yael Moses , Ariel Shamir

Street-view imagery provides us with novel experiences to explore different places remotely. Carefully calibrated street-view images (e.g. Google Street View) can be used for different downstream tasks, e.g. navigation, map features…

Computer Vision and Pattern Recognition · Computer Science 2023-07-14 Wenmiao Hu , Yichen Zhang , Yuxuan Liang , Yifang Yin , Andrei Georgescu , An Tran , Hannes Kruppa , See-Kiong Ng , Roger Zimmermann

Worldwide geolocalization aims to locate the precise location at the coordinate level of photos taken anywhere on the Earth. It is very challenging due to 1) the difficulty of capturing subtle location-aware visual semantics, and 2) the…

Computer Vision and Pattern Recognition · Computer Science 2024-11-01 Pengyue Jia , Yiding Liu , Xiaopeng Li , Yuhao Wang , Yantong Du , Xiao Han , Xuetao Wei , Shuaiqiang Wang , Dawei Yin , Xiangyu Zhao

Image geolocation is a critical task in various image-understanding applications. However, existing methods often fail when analyzing challenging, in-the-wild images. Inspired by the exceptional background knowledge of multimodal language…

Computer Vision and Pattern Recognition · Computer Science 2024-06-03 Zhiqiang Wang , Dejia Xu , Rana Muhammad Shahroz Khan , Yanbin Lin , Zhiwen Fan , Xingquan Zhu

Worldwide geo-localization involves determining the exact geographic location of images captured globally, typically guided by geographic cues such as climate, landmarks, and architectural styles. Despite advancements in geo-localization…

Computer Vision and Pattern Recognition · Computer Science 2025-09-08 Furong Jia , Lanxin Liu , Ce Hou , Fan Zhang , Xinyan Liu , Yu Liu

Image geolocalization, the task of determining an image's geographic origin, poses significant challenges, largely due to visual similarities across disparate locations and the large search space. To address these issues, we propose a…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Narges Ghasemi , Amir Ziashahabi , Salman Avestimehr , Cyrus Shahabi

Global geolocation, which seeks to predict the geographical location of images captured anywhere in the world, is one of the most challenging tasks in the field of computer vision. In this paper, we introduce an innovative interactive…

Computer Vision and Pattern Recognition · Computer Science 2025-04-21 Zhiyang Dou , Zipeng Wang , Xumeng Han , Guorong Li , Zhipei Huang , Zhenjun Han

Location tagging, also known as geotagging or geolocation, is the process of assigning geographical coordinates to input data. In this paper we present an algorithm for location tagging of textual documents. Our approach makes use of…

Artificial Intelligence · Computer Science 2016-01-25 Shawn Brunsting , Hans De Sterck , Remco Dolman , Teun van Sprundel
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