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Worldwide Geo-localization aims to pinpoint the precise location of images taken anywhere on Earth.
Im2gps: estimating geographic information from a single image
James Hays and Alexei A. Efros · 2008
Earlier work this paper cites.
Nus-wide: a real-world web image database from national university of singapore
Tat-Seng Chua, Jinhui Tang, Richang Hong, Haojie Li, Zhiping Luo, and Yantao Zheng · 2009
Earlier work this paper cites.
Tag features for geo-aware image classification
Shuai Liao, Xirong Li, Heng Tao Shen, Yang Yang, and Xiaoyong Du · 2015
Earlier work this paper cites.
Improving image classification with location context
K. Tang, M. Paluri, L. Fei-Fei, R. Fergus, and L. Bourdev · 2015
Earlier work this paper cites.
Wide-area image geolocalization with aerial reference imagery
Scott Workman, Richard Souvenir, and Nathan Jacobs · 2015
Earlier work this paper cites.
Yfcc100m: The new data in multimedia research
Bart Thomee, David A Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, and Li-Jia Li · 2016
Earlier work this paper cites.
Planet-photo geolocation with convolutional neural networks
Tobias Weyand, Ilya Kostrikov, and James Philbin · 2016
Earlier work this paper cites.
Functional map of the world
Gordon A. Christie, Neil Fendley, James Wilson, and Ryan Mukherjee · 2017
Earlier work this paper cites.
The benchmarking initiative for multimedia evaluation: Mediaeval 2016
Martha Larson, Mohammad Soleymani, Guillaume Gravier, Bogdan Ionescu, and Gareth J.F. Jones · 2017
Earlier work this paper cites.
Cross-view image matching for geo-localization in urban environments
Yicong Tian, Chen Chen, and Mubarak Shah · 2017
Earlier work this paper cites.
Revisiting im2gps in the deep learning era
Nam Vo, Nathan Jacobs, and James Hays · 2017
Earlier work this paper cites.
Geolocation estimation of photos using a hierarchical model and scene classification
Eric Muller-Budack, Kader Pustu-Iren, and Ralph Ewerth · 2018
Cited alongside, same era.
Cplanet: Enhancing image geolocalization by combinatorial partitioning of maps
Paul Hongsuck Seo, Tobias Weyand, Jack Sim, and Bohyung Han · 2018
Cited alongside, same era.
Lending orientation to neural networks for cross-view geo-localization
Liu Liu and Hongdong Li · 2019
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
Cited alongside, same era.
Bridging the domain gap for ground-to-aerial image matching
Krishna Regmi and Mubarak Shah · 2019
Cited alongside, same era.
Where am i looking at? joint location and orientation estimation by cross-view matching
Yujiao Shi, Xin Yu, Dylan Campbell, and Hongdong Li · 2020
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Fourier features let networks learn high frequency functions in low dimensional domains
Matthew Tancik, Pratul Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan Barron, and Ren Ng · 2020
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Later among the works it cites.
Coming down to earth: Satellite-to-street view synthesis for geo-localization
Aysim Toker, Qunjie Zhou, Maxim Maximov, and Laura Leal-Taixé · 2021
Later among the works it cites.
Cross-view geo-localization with layer-to-layer transformer
Hongji Yang, Xiufan Lu, and Yingying Zhu · 2021
Later among the works it cites.
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The equal earth map projection
Bojan Šavrič, Tom Patterson, and Bernhard Jenny · 2019
Cited alongside, same era.
Spatial-aware feature aggregation for image based cross-view geo-localization
Yujiao Shi, Liu Liu, Xin Yu, and Hongdong Li · 2019
Cited alongside, same era.
Gps2vec: Towards generating worldwide gps embeddings
Yifang Yin, Zhenguang Liu, Ying Zhang, Sheng Wang, Rajiv Ratn Shah, and Roger Zimmermann · 2019
Cited alongside, same era.
A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
Cited alongside, same era.
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
Cited alongside, same era.
Exploiting the earth’s spherical geometry to geolocate images
Mike Izbicki, Evangelos E Papalexakis, and Vassilis J Tsotras · 2020
Cited alongside, same era.
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Learning multi-context aware location representations from large-scale geotagged images
Yifang Yin, Ying Zhang, Zhenguang Liu, Yuxuan Liang, Sheng Wang, Rajiv Ratn Shah, and Roger Zimmermann · 2021
Later among the works it cites.
Vigor: Cross-view image geo-localization beyond one-to-one retrieval
Sijie Zhu, Taojiannan Yang, and Chen Chen · 2021
Later among the works it cites.
Where in the world is this image? transformer-based geo-localization in the wild
Shraman Pramanick, Ewa M Nowara, Joshua Gleason, Carlos D Castillo, and Rama Chellappa · 2022
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Transgeo: Transformer is all you need for cross-view image geo-localization
Sijie Zhu, Mubarak Shah, and Chen Chen · 2022
Later among the works it cites.
Brandon Clark, Alec Kerrigan, Parth Parag Kulkarni, Vicente Vivanco Cepeda, and Mubarak Shah · 2023
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r 2 r^{2} former: Unified retrieval and reranking transformer for place recognition
Sijie Zhu, Linjie Yang, Chen Chen, Mubarak Shah, Xiaohui Shen, and Heng Wang · 2023
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