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Visual Geo-localization (VG) is the task of estimating the position where a given photo was taken by comparing it with a large database of images of known locations.
Object retrieval with large vocabularies and fast spatial matching
James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, and Andrew Zisserman · 2007
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Mapping a suburb with a single camera using a biologically inspired slam system
Michael Milford and G. Wyeth · 2008
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Lost in quantization: Improving particular object retrieval in large scale image databases
James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, and Andrew Zisserman · 2008
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Highly scalable appearance-only slam - FAB-MAP 2.0
M. Cummins and P. Newman · 2009
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Avoiding confusing features in place recognition
J. Knopp, J. Sivic, and T. Pajdla · 2010
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City-scale landmark identification on mobile devices
D. M. Chen, G. Baatz, K. Köser, S. S. Tsai, R. Vedantham, T. Pylvänäinen, K. Roimela, X. Chen, J. Bach, M. Pollefeys, B. Girod, and R. Grzeszczuk · 2011
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ImageNet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Image retrieval for image-based localization revisited
Torsten Sattler, Tobias Weyand, Bastian Leibe, and Leif Kobbelt · 2012
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Vision meets robotics: The KITTI dataset
A Geiger, P Lenz, C Stiller, and R Urtasun · 2013
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Understanding how camera configuration and environmental conditions affect appearance-based localization
Aayush Bansal, Hernán Badino, and Daniel F. Huber · 2014
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
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Image geo-localization based on multiple nearest neighbor feature matching using generalized graphs
A.R. Zamir and M. Shah · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
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Visual place recognition with repetitive structures
A. Torii, J. Sivic, M. Okutomi, and T. Pajdla · 2015
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University of Michigan North Campus long-term vision and lidar dataset
N. Carlevaris-Bianco, A. K. Ushani, and R. M. Eustice · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Planet - photo geolocation with convolutional neural networks
Tobias Weyand, Ilya Kostrikov, and James Philbin · 2016
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Deep learning features at scale for visual place recognition
Z. Chen, A. Jacobson, N. Sünderhauf, B. Upcroft, L. Liu, C. Shen, I. Reid, and M. Milford · 2017
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Only look once, mining distinctive landmarks from ConvNet for visual place recognition
Z. Chen, F. Maffra, I. Sa, and M. Chli · 2017
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Learned contextual feature reweighting for image geo-localization
Hyo Jin Kim, Enrique Dunn, and Jan-Michael Frahm · 2017
Cited alongside, same era.
1 Year, 1000km: The Oxford RobotCar Dataset
W. Maddern, G. Pascoe, C. Linegar, and P. Newman · 2017
Cited alongside, same era.
Large-scale image geo-localization using dominant sets
Eyasu Zemene, Yonatan Tariku, Haroon Idrees, Andrea Prati, Marcello Pelillo, and Mubarak Shah · 2017
Cited alongside, same era.
NetVLAD: CNN architecture for weakly supervised place recognition
Relja Arandjelović, Petr Gronat, Akihiko Torii, Tomas Pajdla, and Josef Sivic · 2018
Cited alongside, same era.
Learning context flexible attention model for long-term visual place recognition
Z. Chen, L. Liu, I. Sa, Z. Ge, and M. Chli · 2018
Cited alongside, same era.
Unifying visual localization and scene recognition for people with visual impairment
R. Cheng, K. Wang, J. Bai, and Z. Xu · 2020
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Self-supervising fine-grained region similarities for large-scale image localization
Yixiao Ge, Haibo Wang, Feng Zhu, Rui Zhao, and Hongsheng Li · 2020
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A holistic visual place recognition approach using lightweight CNNs for significant viewpoint and appearance changes
A. Khaliq, S. Ehsan, Z. Chen, M. Milford, and K. McDonald-Maier · 2020
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Mapillary street-level sequences: A dataset for lifelong place recognition
Frederik Warburg, Soren Hauberg, Manuel Lopez-Antequera, Pau Gargallo, Yubin Kuang, and Javier Civera · 2020
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Google landmarks dataset v2 – a large-scale benchmark for instance-level recognition and retrieval
Tobias Weyand, A. Araújo, Bingyi Cao, and Jack Sim · 2020
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Eric Müller-Budack, Kader Pustu-Iren, and Ralph Ewerth · 2018
Cited alongside, same era.
Fine-tuning CNN Image Retrieval with No Human Annotation
F. Radenović, G. Tolias, and O. Chum · 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.
24/7 place recognition by view synthesis
A. Torii, R. Arandjelović, J. Sivic, M. Okutomi, and T. Pajdla · 2018
Cited alongside, same era.
Cosface: Large margin cosine loss for deep face recognition
Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Dihong Gong, Jingchao Zhou, Zhifeng Li, and Wei Liu · 2018
Cited alongside, same era.
Attention-based pyramid aggregation network for visual place recognition
Yingying Zhu, Jiong Wang, Lingxi Xie, and Liang Zheng · 2018
Cited alongside, same era.
ArcFace: Additive angular margin loss for deep face recognition
Jiankang Deng, J. Guo, and S. Zafeiriou · 2019
Cited alongside, same era.
Spatial pyramid-enhanced netvlad with weighted triplet loss for place recognition
Jun Yu, Chaoyang Zhu, Jian Zhang, Qingming Huang, and Dacheng Tao · 2020
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Viewpoint invariant dense matching for visual geolocalization
Gabriele Berton, Carlo Masone, Valerio Paolicelli, and Barbara Caputo · 2021
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Adaptive-attentive geolocalization from few queries: A hybrid approach
Gabriele Berton, Valerio Paolicelli, Carlo Masone, and Barbara Caputo · 2021
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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, Jakob Uszkoreit, and Neil Houlsby · 2021
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Escaping the Big Data Paradigm with Compact Transformers
Ali Hassani, Steven Walton, Nikhil Shah, Abulikemu Abuduweili, Jiachen Li, and Humphrey Shi · 2021
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Patch-netvlad: Multi-scale fusion of locally-global descriptors for place recognition
Stephen Hausler, Sourav Garg, Ming Xu, Michael Milford, and Tobias Fischer · 2021
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Inside out visual place recognition
Sarah Ibrahimi, Nanne van Noord, Tim Alpherts, and Marcel Worring · 2021
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Leveraging efficientnet and contrastive learning for accurate global-scale location estimation
Giorgos Kordopatis-Zilos, Panagiotis Galopoulos, S. Papadopoulos, and Y. Kompatsiaris · 2021
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Semantic reinforced attention learning for visual place recognition
Guohao Peng, Yufeng Yue, Jun Zhang, Zhenyu Wu, Xiaoyu Tang, and Danwei Wang · 2021
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Attentional pyramid pooling of salient visual residuals for place recognition
Guohao Peng, Jun Zhang, Heshan Li, and Danwei Wang · 2021
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Instance-level image retrieval using reranking transformers
Fuwen Tan, Jiangbo Yuan, and Vicente Ordonez · 2021
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Are large-scale 3d models really necessary for accurate visual localization?
A. Torii, Hajime Taira, Josef Sivic, M. Pollefeys, M. Okutomi, T. Pajdla, and Torsten Sattler · 2021
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VPR-Bench: An open-source visual place recognition evaluation framework with quantifiable viewpoint and appearance change
Mubariz Zaffar, Sourav Garg, Michael Milford, Julian Kooij, David Flynn, Klaus McDonald-Maier, and Shoaib Ehsan · 2021
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Deep visual geo-localization benchmark
Gabriele Berton, Riccardo Mereu, Gabriele Trivigno, Carlo Masone, Gabriela Csurka, Torsten Sattler, and Barbara Caputo · 2022
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