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Visual Place Recognition (VPR) estimates the location of query images by matching them with images in a reference database.
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
Martin A Fischler and Robert C Bolles · 1981
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Object recognition from local scale-invariant features
David G Lowe · 1999
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The OpenCV Library
G. Bradski · 2000
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Visual categorization with bags of keypoints
Gabriella Csurka, Christopher Dance, Lixin Fan, Jutta Willamowski, and Cédric Bray · 2004
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Fast and incremental method for loop-closure detection using bags of visual words
Adrien Angeli, David Filliat, Stéphane Doncieux, and Jean-Arcady Meyer · 2008
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Mapping a suburb with a single camera using a biologically inspired slam system
Michael J Milford and Gordon F Wyeth · 2008
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Highly scalable appearance-only slam - fab-map 2.0
Mark Joseph Cummins and Paul Newman · 2009
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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City-scale landmark identification on mobile devices
David M Chen, Georges Baatz, Kevin Köser, Sam S Tsai, Ramakrishna Vedantham, Timo Pylvänäinen, Kimmo Roimela, Xin Chen, Jeff Bach, Marc Pollefeys, et al · 2011
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Aggregating local image descriptors into compact codes
Hervé Jégou, Florent Perronnin, Matthijs Douze, Jorge Sánchez, Patrick Pérez, and Cordelia Schmid · 2011
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Worldwide pose estimation using 3d point clouds
Yunpeng Li, Noah Snavely, Dan Huttenlocher, and Pascal Fua · 2012
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Probabilistic place recognition with covisibility maps
Elena Stumm, Christopher Mei, and Simon Lacroix · 2013
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Visual place recognition with repetitive structures
Akihiko Torii, Josef Sivic, Tomas Pajdla, and Masatoshi Okutomi · 2013
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Image geo-localization based on multiplenearest neighbor feature matching usinggeneralized graphs
Amir Roshan Zamir and Mubarak Shah · 2014
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24/7 place recognition by view synthesis
Akihiko Torii, Relja Arandjelovic, Josef Sivic, Masatoshi Okutomi, and Tomas Pajdla · 2015
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Netvlad: Cnn architecture for weakly supervised place recognition
Relja Arandjelovic, Petr Gronat, Akihiko Torii, Tomas Pajdla, and Josef Sivic · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Sgdr: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2016
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Visual place recognition: A survey
Stephanie Lowry, Niko Sünderhauf, Paul Newman, John J. Leonard, David Cox, Peter Corke, and Michael J. Milford · 2016
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Learning deep features for discriminative localization
Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba · 2016
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Simultaneous localization and mapping: A survey of current trends in autonomous driving
Guillaume Bresson, Zayed Alsayed, Li Yu, and Sébastien Glaser · 2017
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End-to-end learning of deep visual representations for image retrieval
Albert Gordo, Jon Almazan, Jerome Revaud, and Diane Larlus · 2017
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Learned contextual feature reweighting for image geo-localization
Hyo Jin Kim, Enrique Dunn, and Jan-Michael Frahm · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
Cited alongside, same era.
Are large-scale 3d models really necessary for accurate visual localization?
Torsten Sattler, Akihiko Torii, Josef Sivic, Marc Pollefeys, Hajime Taira, Masatoshi Okutomi, and Tomas Pajdla · 2017
Cited alongside, same era.
Adaptive-attentive geolocalization from few queries: A hybrid approach
Gabriele Moreno Berton, Valerio Paolicelli, Carlo Masone, and Barbara Caputo · 2021
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Where is your place, visual place recognition?
Sourav Garg, Tobias Fischer, and Michael Milford · 2021
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Seqnet: Learning descriptors for sequence-based hierarchical place recognition
Sourav Garg and Michael Milford · 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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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Superpoint: Self-supervised interest point detection and description
Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2018
Cited alongside, same era.
Learning to navigate in cities without a map
Piotr Mirowski, Matt Grimes, Mateusz Malinowski, Karl Moritz Hermann, Keith Anderson, Denis Teplyashin, Karen Simonyan, Andrew Zisserman, Raia Hadsell, et al · 2018
Cited alongside, same era.
Fine-tuning cnn image retrieval with no human annotation
Filip Radenović, Giorgos Tolias, and Ondřej Chum · 2018
Cited alongside, same era.
Stochastic attraction-repulsion embedding for large scale image localization
Liu Liu, Hongdong Li, and Yuchao Dai · 2019
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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, et al · 2019
Cited alongside, same era.
Attention-aware age-agnostic visual place recognition
Ziqi Wang, Jiahui Li, Seyran Khademi, and Jan van Gemert · 2019
Cited alongside, same era.
Cotr: Correspondence transformer for matching across images
Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, and Kwang Moo Yi · 2021
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A survey on deep visual place recognition
Carlo Masone and Barbara Caputo · 2021
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Instance-level image retrieval using reranking transformers
Fuwen Tan, Jiangbo Yuan, and Vicente Ordonez · 2021
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Training data-efficient image transformers & distillation through attention
Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, and Hervé Jégou · 2021
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Visual place recognition: A survey from deep learning perspective
Xiwu Zhang, Lei Wang, and Yan Su · 2021
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Rethinking visual geo-localization for large-scale applications
Gabriele Berton, Carlo Masone, and Barbara Caputo · 2022
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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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Svt-net: Super light-weight sparse voxel transformer for large scale place recognition
Zhaoxin Fan, Zhenbo Song, Hongyan Liu, Zhiwu Lu, Jun He, and Xiaoyong Du · 2022
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Correlation verification for image retrieval
Seongwon Lee, Hongje Seong, Suhyeon Lee, and Euntai Kim · 2022
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Correlation verification for image retrieval
Seongwon Lee, Hongje Seong, Suhyeon Lee, and Euntai Kim · 2022
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Transvpr: Transformer-based place recognition with multi-level attention aggregation
Ruotong Wang, Yanqing Shen, Weiliang Zuo, Sanping Zhou, and Nanning Zheng · 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
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Mixvpr: Feature mixing for visual place recognition
Amar Ali-bey, Brahim Chaib-draa, and Philippe Giguère · 2023
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Transvlad: Multi-scale attention-based global descriptors for visual geo-localization
Yifan Xu, Pourya Shamsolmoali, Eric Granger, Claire Nicodeme, Laurent Gardes, and Jie Yang · 2023
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Etr: An efficient transformer for re-ranking in visual place recognition
Hao Zhang, Xin Chen, Heming Jing, Yingbin Zheng, Yuan Wu, and Cheng Jin · 2023
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