Fetching the paper…
Reading the bibliography…
In this paper, we address the problem of camera pose estimation in outdoor and indoor scenarios.
Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography
Martin A. Fischler and Robert C. Bolles · 1981
Earlier work this paper cites.
Complete solution classification for the perspective-three-point problem
Xiao-Shan Gao, Xiao-Rong Hou, Jianlian Tang, and Hang-Fei Cheng · 2003
Earlier work this paper cites.
Distinctive image features from scale-invariant keypoints
David G. Lowe · 2004
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
DTAM: Dense tracking and mapping in real-time
Richard A. Newcombe, Steven J. Lovegrove, and Andrew J. Davison · 2011
Earlier work this paper cites.
Real-time RGB-D camera relocalization
Ben Glocker, Shahram Izadi, Jamie Shotton, and Antonio Criminisi · 2013
Earlier work this paper cites.
Scene coordinate regression forests for camera relocalization in RGB-D images
Jamie Shotton, Ben Glocker, Christopher Zach, Shahram Izadi, Antonio Criminisi, and Andrew Fitzgibbon · 2013
Earlier work this paper cites.
DisLocation: Scalable descriptor distinctiveness for location recognition
Relja Arandjelović and Andrew Zisserman · 2014
Earlier work this paper cites.
PoseNet: A convolutional network for real-time 6-DOF camera relocalization
Alex Kendall, Matthew Grimes, and Roberto Cipolla · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
ORB-SLAM: A versatile and accurate monocular slam system
Raul Mur-Artal, J. M. M. Montiel, and Juan D. Tardos · 2015
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
Earlier work this paper cites.
Theia: A fast and scalable structure-from-motion library
Chris Sweeney, Tobias Hollerer, and Matthew Turk · 2015
Earlier work this paper cites.
24/7 place recognition by view synthesis
Akihiko Torii, Relja Arandjelović, Josef Sivic, Masatoshi Okutomi, and Tomas Pajdla · 2015
Earlier work this paper cites.
NetVLAD: CNN architecture for weakly supervised place recognition
Relja Arandjelović, Petr Gronat, Akihiko Torii, Tomas Pajdla, and Josef Sivic · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Modelling uncertainty in deep learning for camera relocalization
Alex Kendall and Roberto Cipolla · 2016
Earlier work this paper cites.
CNN image retrieval learns from BoW: Unsupervised fine-tuning with hard examples
Filip Radenović, Giorgos Tolias, and Ondr̆ej Chum · 2016
Earlier work this paper cites.
Large-scale location recognition and the geometric burstiness problem
Torsten Sattler, Michal Havlena, Konrad Schindler, and Marc Pollefeys · 2016
Earlier work this paper cites.
Structure-from-motion revisited
Johannes L. Schönberger and Jan-Michael Frahm · 2016
Earlier work this paper cites.
DSAC - differentiable ransac for camera localization
Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, and Carsten Rother · 2017
Earlier work this paper cites.
Geometric loss functions for camera pose regression with deep learning
Alex Kendall and Roberto Cipolla · 2017
Earlier work this paper cites.
1 Year, 1000km: The Oxford RobotCar Dataset
Will Maddern, Geoff Pascoe, Chris Linegar, and Paul Newman · 2017
Earlier work this paper cites.
Deep regression for monocular camera-based 6-DoF global localization in outdoor environments
Tayyab Naseer and Wolfram Burgard · 2017
Cited alongside, same era.
Image retrieval with deep local features and attention-based keypoints
Hyeonwoo Noh, André Araujo, Jack Sim, Tobias Weyand, and Bohyung Han · 2017
Cited alongside, same era.
Efficient & effective prioritized matching for large-scale image-based localization
Torsten Sattler, Bastian Leibe, and Leif Kobbelt · 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.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Image-based localization using LSTMs for structured feature correlation
Visual camera re-localization from RGB and RGB-D images using DSAC
Eric Brachmann and Carsten Rother · 2020
Later among the works it cites.
Adversarial transfer of pose estimation regression
Boris Chidlovskii and Assem Sadek · 2020
Later among the works it cites.
Robust image retrieval-based visual localization using kapture, 2020
Martin Humenberger, Yohann Cabon, Nicolas Guerin, Julien Morat, Jérôme Revaud, Philippe Rerole, Noé Pion, Cesar Souza de, Vincent Leroy, and Gabriela Csurka · 2020
Later among the works it cites.
Robust image retrieval-based visual localization using kapture, 2020
Martin Humenberger, Yohann Cabon, Nicolas Guerin, Julien Morat, Jérôme Revaud, Philippe Rerole, Noé Pion, Cesar de Souza, Vincent Leroy, and Gabriela Csurka · 2020
Later among the works it cites.
Image matching across wide baselines: From paper to practice, 2020
Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, and Eduard Trulls · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Florian Walch, Caner Hazirbas, Laura Leal-Taixé, Torsten Sattler, Sebastian Hilsenbeck, and Daniel Cremers · 2017
Cited alongside, same era.
RelocNet: Continuous metric learning relocalisation using neural nets
Vassileios Balntas, Shuda Li, and Victor Adrian Prisacariu · 2018
Cited alongside, same era.
Learning less is more - 6D camera localization via 3D surface regression
Eric Brachmann and Carsten Rother · 2018
Cited alongside, same era.
Geometry-aware learning of maps for camera localization
Samarth Brahmbhatt, Jinwei Gu, Kihwan Kim, James Hays, and Jan Kautz · 2018
Cited alongside, same era.
Full-frame scene coordinate regression for image-based localization
Xiaotian Li, Juha Ylioinas, and Juho Kannala · 2018
Cited alongside, same era.
Fine-tuning CNN image retrieval with no human annotation
Filip Radenović, Giorgos Tolias, and Ondr̆ej Chum · 2018
Cited alongside, same era.
Improved visual relocalization by discovering anchor points
Soham Saha, Girish Varma, and C. V. Jawahar · 2018
Cited alongside, same era.
Hierarchical scene coordinate classification and regression for visual localization
Xiaotian Li, Shuzhe Wang, Yi Zhao, Jakob Verbeek, and Juho Kannala · 2020
Later among the works it cites.
Neural sparse voxel fields
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt · 2020
Later among the works it cites.
Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng · 2020
Later among the works it cites.
SOLAR: Second-order loss and attention for image retrieval
Tony Ng, Vassileios Balntas, Yurun Tian, and Krystian Mikolajczyk · 2020
Later among the works it cites.
Benchmarking image retrieval for visual localization
Noé Pion, Martin Humenberger, Gabriela Csurka, Yohann Cabon, and Torsten Sattler · 2020
Later among the works it cites.
Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer
René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, and Vladlen Koltun · 2020
Later among the works it cites.
Kornia: an open source differentiable computer vision library for pytorch
Edgar Riba, Dmytro Mishkin, Daniel Ponsa, Ethan Rublee, and Gary Bradski · 2020
Later among the works it cites.
Free view synthesis
Gernot Riegler and Vladlen Koltun · 2020
Later among the works it cites.
SuperGlue: Learning feature matching with graph neural networks
Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2020
Later among the works it cites.
HyNet: Learning local descriptor with hybrid similarity measure and triplet loss
Yurun Tian, Axel Barroso-Laguna, Tony Ng, Vassileios Balntas, and Krystian Mikolajczyk · 2020
Later among the works it cites.
Boosting image-based localization via randomly geometric data augmentation
Yiming Wan, Wei Gao, Sheng Han, and Yihong Wu · 2020
Later among the works it cites.
Atloc: Attention guided camera localization
Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, and Andrew Markham · 2020
Later among the works it cites.
Learning multi-view camera relocalization with graph neural networks
Fei Xue, Xin Wu, Shaojun Cai, and Junqin Wang · 2020
Later among the works it cites.
Reference pose generation for long-term visual localization via learned features and view synthesis
Zichao Zhang, Torsten Sattler, and Davide Scaramuzza · 2020
Later among the works it cites.
KFNet: Learning temporal camera relocalization using kalman filtering
Lei Zhou, Zixin Luo, Tianwei Shen, Jiahui Zhang, Mingmin Zhen, Yao Yao, Tian Fang, and Long Quan · 2020
Later among the works it cites.
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
Closest in time.
Nerf in the wild: Neural radiance fields for unconstrained photo collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
Closest in time.