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We present a novel method for local image feature matching.
Distinctive image features from scale-invariant keypoints
David G Lowe · 2004
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A performance evaluation of local descriptors
Krystian Mikolajczyk and Cordelia Schmid · 2005
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Robust Image Retrieval-based Visual Localization using Kapture
Martin Humenberger, Yohann Cabon, Nicolas Guerin, Julien Morat, Jérôme Revaud, Philippe Rerole, Noé Pion, Cesar de Souza, Vincent Leroy, and Gabriela Csurka · 2007
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Image Stylization for Robust Features
Iaroslav Melekhov, Gabriel J Brostow, Juho Kannala, and Daniyar Turmukhambetov · 2008
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Efficient transformers: A survey
Yi Tay, Mostafa Dehghani, Dara Bahri, and Donald Metzler · 2009
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SIFT Flow: Dense correspondence across scenes and its applications
Ce Liu, Jenny Yuen, and Antonio Torralba · 2010
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Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers
Zhaoshuo Li, Xingtong Liu, Francis X Creighton, Russell H Taylor, and Mathias Unberath · 2011
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ORB: An efficient alternative to SIFT or SURF
Ethan Rublee, Vincent Rabaud, Kurt Konolige, and Gary Bradski · 2011
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Comparative evaluation of binary features
Jared Heinly, Enrique Dunn, and Jan-Michael Frahm · 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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Universal correspondence network
Christopher B Choy, JunYoung Gwak, Silvio Savarese, and Manmohan Chandraker · 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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Self-supervised visual descriptor learning for dense correspondence
Tanner Schmidt, Richard Newcombe, and Dieter Fox · 2016
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Structure-from-Motion revisited
Johannes L Schonberger and Jan-Michael Frahm · 2016
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LIFT: Learned invariant feature transform
Kwang Moo Yi, Eduard Trulls, Vincent Lepetit, and Pascal Fua · 2016
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HPatches: A benchmark and evaluation of handcrafted and learned local descriptors
Vassileios Balntas, Karel Lenc, Andrea Vedaldi, and Krystian Mikolajczyk · 2017
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GMS: Grid-based motion statistics for fast, ultra-robust feature correspondence
JiaWang Bian, Wen-Yan Lin, Yasuyuki Matsushita, Sai-Kit Yeung, Tan-Dat Nguyen, and Ming-Ming Cheng · 2017
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ScanNet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
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Feature Pyramid Networks for Object Detection
Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, and Serge J. Belongie · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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SuperPoint: Self-supervised interest point detection and description
Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2018
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Megadepth: Learning single-view depth prediction from internet photos
Zhengqi Li and Noah Snavely · 2018
Cited alongside, same era.
Neighbourhood consensus networks
Ignacio Rocco, Mircea Cimpoi, Relja Arandjelović, Akihiko Torii, Tomas Pajdla, and Josef Sivic · 2018
Cited alongside, same era.
InLoc: Indoor visual localization with dense matching and view synthesis
Hajime Taira, Masatoshi Okutomi, Torsten Sattler, Mircea Cimpoi, Marc Pollefeys, Josef Sivic, Tomas Pajdla, and Akihiko Torii · 2018
Dual-resolution correspondence networks
Xinghui Li, Kai Han, Shuda Li, and Victor Prisacariu · 2020
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Extremely Dense Point Correspondences Using a Learned Feature Descriptor
X. Liu, Y. Zheng, B. Killeen, M. Ishii, G. D. Hager, R. H. Taylor, and M. Unberath · 2020
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ASLFeat: Learning local features of accurate shape and localization
Zixin Luo, Lei Zhou, Xuyang Bai, Hongkai Chen, Jiahui Zhang, Yao Yao, Shiwei Li, Tian Fang, and Long Quan · 2020
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Online Invariance Selection for Local Feature Descriptors
Rémi Pautrat, Viktor Larsson, Martin R Oswald, and Marc Pollefeys · 2020
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Efficient neighbourhood consensus networks via submanifold sparse convolutions
Ignacio Rocco, Relja Arandjelović, and Josef Sivic · 2020
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SuperGlue: Learning feature matching with graph neural networks
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Cited alongside, same era.
Learning to find good correspondences
Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, and Pascal Fua · 2018
Cited alongside, same era.
D2-Net: A trainable cnn for joint detection and description of local features
Mihai Dusmanu, Ignacio Rocco, Tomas Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, and Torsten Sattler · 2019
Cited alongside, same era.
GIFT: Learning transformation-invariant dense visual descriptors via group cnns
Yuan Liu, Zehong Shen, Zhixuan Lin, Sida Peng, Hujun Bao, and Xiaowei Zhou · 2019
Cited alongside, same era.
ContextDesc: Local Descriptor Augmentation with Cross-Modality Context
Zixin Luo, Tianwei Shen, Lei Zhou, Jiahui Zhang, Yao Yao, Shiwei Li, Tian Fang, and Long Quan · 2019
Cited alongside, same era.
R2D2: repeatable and reliable detector and descriptor
Jerome Revaud, Philippe Weinzaepfel, César De Souza, Noe Pion, Gabriela Csurka, Yohann Cabon, and Martin Humenberger · 2019
Cited alongside, same era.
From coarse to fine: Robust hierarchical localization at large scale
Paul-Edouard Sarlin, Cesar Cadena, Roland Siegwart, and Marcin Dymczyk · 2019
Cited alongside, same era.
Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 2020
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Long-Term Visual Localization Revisited
Carl Toft, Will Maddern, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Tomas Pajdla, et al · 2020
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GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
Prune Truong, Martin Danelljan, Luc Van Gool, and Radu Timofte · 2020
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GLU-Net: Global-Local Universal Network for dense flow and correspondences
Prune Truong, Martin Danelljan, and Radu Timofte · 2020
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DISK: Learning local features with policy gradient
Michał Tyszkiewicz, Pascal Fua, and Eduard Trulls · 2020
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Axial-Deeplab: Stand-alone axial-attention for panoptic segmentation
Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan Yuille, and Liang-Chieh Chen · 2020
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Learning feature descriptors using camera pose supervision
Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, and Noah Snavely · 2020
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Reference Pose Generation for Long-term Visual Localization via Learned Features and View Synthesis
Zichao Zhang, Torsten Sattler, and Davide Scaramuzza · 2020
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Rethinking attention with performers
Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamas Sarlos, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, et al · 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, et al · 2021
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COTR: Correspondence Transformer for Matching Across Images, 2021
Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, and Kwang Moo Yi · 2021
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Learning Accurate Dense Correspondences and When to Trust Them
Prune Truong, Martin Danelljan, L. Gool, and R. Timofte · 2021
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