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We introduce LightGlue, a deep neural network that learns to match local features across images.
Concerning nonnegative matrices and doubly stochastic matrices
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Locally optimized RANSAC
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Two-view geometry estimation unaffected by a dominant plane
Ondrej Chum, Tomas Werner, and Jiri Matas · 2005
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SURF: Speeded up robust features
Herbert Bay, Tinne Tuytelaars, and Luc Van Gool · 2006
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Machine learning for high-speed corner detection
Edward Rosten and Tom Drummond · 2006
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VLFeat: An open and portable library of computer vision algorithms
Andrea Vedaldi and Brian Fulkerson · 2010
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ORB: An efficient alternative to SIFT or SURF
Ethan Rublee, Vincent Rabaud, Kurt Konolige, and Gary R Bradski · 2011
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Reconstructing the World* in Six Days *(as Captured by the Yahoo 100 Million Image Dataset)
Jared Heinly, Johannes L Schonberger, Enrique Dunn, and Jan-Michael Frahm · 2015
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Mods: Fast and robust method for two-view matching
Dmytro Mishkin, Jiri Matas, and Michal Perdoch · 2015
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ORB-SLAM: a versatile and accurate monocular SLAM system
Raúl Mur-Artal, J. M. M. Montiel, and Juan D. Tardós · 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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Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age
Cesar Cadena, Luca Carlone, Henry Carrillo, Yasir Latif, Davide Scaramuzza, José Neira, Ian Reid, and John J Leonard · 2016
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Training Deep Nets with Sublinear Memory Cost
Tianqi Chen, Bing Xu, Chiyuan Zhang, and Carlos Guestrin · 2016
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Structure-from-motion revisited
Johannes Lutz Schönberger and Jan-Michael Frahm · 2016
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Pixelwise view selection for unstructured multi-view stereo
Johannes Lutz Schönberger, Enliang Zheng, Marc Pollefeys, and Jan-Michael Frahm · 2016
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BranchyNet: Fast inference via early exiting from deep neural networks
Surat Teerapittayanon, Bradley McDanel, and H. T. Kung · 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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Spatially Adaptive Computation Time for Residual Networks
Michael Figurnov, Maxwell D Collins, Yukun Zhu, Li Zhang, Jonathan Huang, Dmitry Vetrov, and Ruslan Salakhutdinov · 2017
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Not all pixels are equal: Difficulty-aware semantic segmentation via deep layer cascade
Xiaoxiao Li, Ziwei Liu, Ping Luo, Chen Change Loy, and Xiaoou Tang · 2017
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Working hard to know your neighbor’s margins: Local descriptor learning loss
Anastasiya Mishchuk, Dmytro Mishkin, Filip Radenovic, and Jiri Matas · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz 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
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Learning to find good correspondences
Kwang Moo Yi, Eduard Trulls, Yuki Ono, Vincent Lepetit, Mathieu Salzmann, and Pascal Fua · 2018
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Revisiting Oxford and Paris: Large-scale image retrieval benchmarking
Filip Radenović, Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, and Ondřej Chum · 2018
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Improving language understanding by generative pre-training
Alec Radford and Karthik Narasimhan · 2018
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Benchmarking 6DOF outdoor visual localization in changing conditions
Torsten Sattler, Will Maddern, Carl Toft, Akihiko Torii, Lars Hammarstrand, Erik Stenborg, Daniel Safari, Masatoshi Okutomi, Marc Pollefeys, Josef Sivic, Fredrik Kahl, and Tomas Pajdla · 2018
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Self-Attention with Relative Position Representations
DISK: Learning local features with policy gradient
Michał J Tyszkiewicz, Pascal Fua, and Eduard Trulls · 2020
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Dynamic convolutions: Exploiting spatial sparsity for faster inference
Thomas Verelst and Tinne Tuytelaars · 2020
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Linformer: Self-Attention with Linear Complexity
Sinong Wang, Belinda Z. Li, Madian Khabsa, Han Fang, and Hao Ma · 2020
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Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
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Learning to match features with seeded graph matching network
Hongkai Chen, Zixin Luo, Jiahui Zhang, Lei Zhou, Xuyang Bai, Zeyu Hu, Chiew-Lan Tai, and Long Quan · 2021
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Peter Shaw, Jakob Uszkoreit, and Ashish Vaswani · 2018
Cited alongside, same era.
Matchable image retrieval by learning from surface reconstruction
Tianwei Shen, Zixin Luo, Lei Zhou, Runze Zhang, Siyu Zhu, Tian Fang, and Long Quan · 2018
Cited alongside, same era.
Anytime Stereo Image Depth Estimation on Mobile Devices
Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark E. Campbell, and Kilian Q. Weinberger · 2018
Cited alongside, same era.
Magsac: marginalizing sample consensus
Daniel Barath, Jiri Matas, and Jana Noskova · 2019
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Universal Transformers
Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, and Lukasz Kaiser · 2019
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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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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.
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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Perceiver: General Perception with Iterative Attention
Andrew Jaegle, Felix Gimeno, Andrew Brock, Andrew Zisserman, Oriol Vinyals, and João Carreira · 2021
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Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding
Yang Li, Si Si, Gang Li, Cho-Jui Hsieh, and Samy Bengio · 2021
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Pixel-Perfect Structure-from-Motion with Featuremetric Refinement
Philipp Lindenberger, Paul-Edouard Sarlin, Viktor Larsson, and Marc Pollefeys · 2021
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Markus N. Rabe and Charles Staats · 2021
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Back to the Feature: Learning robust camera localization from pixels to pose
Paul-Edouard Sarlin, Ajaykumar Unagar, Måns Larsson, Hugo Germain, Carl Toft, Viktor Larsson, Marc Pollefeys, Vincent Lepetit, Lars Hammarstrand, Fredrik Kahl, and Torsten Sattler · 2021
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RoFormer: Enhanced Transformer with Rotary Position Embedding
Jianlin Su, Yu Lu, Shengfeng Pan, Bo Wen, and Yunfeng Liu · 2021
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LoFTR: Detector-free local feature matching with Transformers
Jiaming Sun, Zehong Shen, Yuang Wang, Hujun Bao, and Xiaowei Zhou · 2021
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Feature matching for multi-epoch historical aerial images
Lulin Zhang, Ewelina Rupnik, and Marc Pierrot-Deseilligny · 2021
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ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer
Hongkai Chen, Zixin Luo, Lei Zhou, Yurun Tian, Mingmin Zhen, Tian Fang, David McKinnon, Yanghai Tsin, and Long Quan · 2022
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FlashAttention: Fast and memory-efficient exact attention with IO-awareness
Tri Dao, Daniel Y. Fu, Stefano Ermon, Atri Rudra, and Christopher Ré · 2022
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Perceiver IO: A general architecture for structured inputs & outputs
Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J Henaff, Matthew Botvinick, Andrew Zisserman, Oriol Vinyals, and Joao Carreira · 2022
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Anytime Dense Prediction with Confidence Adaptivity
Zhuang Liu, Zhiqiu Xu, Hung-Ju Wang, Trevor Darrell, and Evan Shelhamer · 2022
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Re-identification of giant sunfish using keypoint matching
Malte Pedersen, Joakim Bruslund Haurum, Thomas B Moeslund, and Marianne Nyegaard · 2022
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LaMAR: Benchmarking Localization and Mapping for Augmented Reality
Paul-Edouard Sarlin, Mihai Dusmanu, Johannes L. Schönberger, Pablo Speciale, Lukas Gruber, Viktor Larsson, Ondrej Miksik, and Marc Pollefeys · 2022
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Confident Adaptive Language Modeling
Tal Schuster, Adam Fisch, Jai Gupta, Mostafa Dehghani, Dara Bahri, Vinh Q. Tran, Yi Tay, and Donald Metzler · 2022
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ClusterGNN: Cluster-based coarse-to-fine graph neural network for efficient feature matching
Yan Shi, Jun-Xiong Cai, Yoli Shavit, Tai-Jiang Mu, Wensen Feng, and Kai Zhang · 2022
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OnePose: One-shot object pose estimation without CAD models
Jiaming Sun, Zihao Wang, Siyu Zhang, Xingyi He, Hongcheng Zhao, Guofeng Zhang, and Xiaowei Zhou · 2022
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MatchFormer: Interleaving Attention in Transformers for Feature Matching
Qing Wang, Jiaming Zhang, Kailun Yang, Kunyu Peng, and Rainer Stiefelhagen · 2022
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https://www.cs.ubc.ca/research/image-matching-challenge/2020/
CVPR 2020 Image Matching Challenge · 2023
Closest in time.
https://www.cs.ubc.ca/research/image-matching-challenge/
CVPR 2021 Image Matching Challenge · 2023
Closest in time.
https://www.kaggle.com/competitions/image-matching-challenge-2023/overview
CVPR 2023 Image Matching Challenge · 2023
Closest in time.