Visual Descriptors via Adversarial Learning. CVPR, 2022. 10
[62] Pedro O O Pinheiro, Amjad Almahairi, Ryan Benmalek, Florian Golemo, and Aaron C Courville. Unsupervised Learning of Dense Visual Representations. NeurIPS, 2020. 7
[63] Aaron van den Oord, Yazhe Li, and Oriol Vinyals. Representation Learning with Contrastive Predictive Coding. arXiv preprint, 2018. 6, 7
[64] Maxime Oquab, Timothee Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al. DINOV2: Learning Robust Visual Features without Supervision. arXiv preprint, 2023. 5
[65] Shuxue Peng, Zihang He, Haotian Zhang, Ran Yan, Chuting Wang, Qingtian Zhu, and Xiao Liu. MegLoc: A Robust and Accurate Visual Localization Pipeline. arXiv preprint, 2021. 2
[66] Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, and Andreas Geiger. Convolutional Occupancy Networks. ECCV, 2020. 7
[67] Jonah Philion and Sanja Fidler. Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D. ECCV, 2020. 5, 7
[68] Francesco Pittaluga, Sanjeev J Koppal, Sing Bing Kang, and Sudipta N Sinha. Revealing Scenes by Inverting Structure from Motion Reconstructedons. CVPR, 2019. 10
[69] Jerome Revaud, Philippe Weinzaepfel, César Roberto de Souza, and Martin Humenberger. R2D2: Repeatable and Reliable Detector and Descriptor. NeurIPS, 2019. 2, 7
[70] Thomas Roddick, Alex Kendall, and Roberto Cipolla. Orthographic Feature Transform for Monocular 3D Object Detection. BMVC, 2019. 5, 7
[71] Olaf Ronneberger, Philipp Fischer, and Thomas Brox. U-Net: Convolutional networks for biomedical image segmentation. MICCAI, 2015. 4, 7
[72] Avishkar Saha, Oscar Mendez, Chris Russell, and Richard Bowden. Translating Images into Maps. ICRA, 2022. 7
[73] Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas Funkhouser, and Andrea Tagliasacchi. Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. CVPR, 2022. 7
[74] Paul-Edouard Sarlin, Cesar Cadena, Roland Siegwart, and Marcin Dymczyk. From Coarse to Fine: Robust Hierarchical Localization at Large Scale. CVPR, 2019. 2, 6, 8
[75] Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich. SuperGlue: Learning Feature Matching with Graph Neural Networks. CVPR, 2020. 2, 7, 8
[76] Paul-Edouard Sarlin, Ajaykumar Unagar, Mans Larsson, Hugo Germain, Carl Toft, Victor Larsson, Marc Pollefeys, Vincent Lepetit, Lars Hammarstrand, Fredrik Kahl, and Torsten Sattler. Back to the Feature: Learning Robust Camera Localization from Pixels to Pose. CVPR, 2021. 2, 7
[77] Paul-Edouard Sarlin, Mihai Dusmanu, Johannes L. Schonberger, Pablo Speciale, Lukas Gruber, Viktor Larsson, Ondrej Miksik, and Marc Pollefeys. LaMAR: Benchmarking Localization and Mapping for Augmented Reality. ECCV, 2022. 7, 8
[78] Paul-Edouard Sarlin, Daniel DeTone, Tsun-Yi Yang, Armen Avetisyan, Julian Straub, Tomasz Malisiewicz, Samuel Rota Bulo, Richard Newcombe, Peter Kontschieder, and Vasileios Balntas. OrienterNet: Visual Localization in 2D Public Maps with Neural Matching. CVPR, 2023. 2, 5, 6, 7, 8, 9, 27
[79] Torsten Sattler, Bastian Leibe, and Leif Kobbelt. Fast Image-Based Localization using Direct 2D-to-3D Matching. ICCV, 2011. 2
[80] Torsten Sattler, Bastian Leibe, and Leif Kobbelt. Improving Image-Based Localization by Active Correspondence Search. ECCV, 2012. 6
[81] Torsten Sattler, Will Maddern, Carl Toft, Akihiko Torii, Lars Hammarstrand, Erik Stenberg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Fredrik Kahl, and Tomas Pajdla. Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions. CVPR,