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Local feature frameworks are difficult to learn in an end-to-end fashion, due to the discreteness inherent to the selection and matching of sparse keypoints.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams · 1992
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Distinctive Image Features from Scale-Invariant Keypoints
D. G. Lowe · 2004
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Scale and Affine Invariant Interest Point Detectors
K. Mikolajczyk and C. Schmid · 2004
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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
H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool · 2008
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Building Rome in One Day
S. Agarwal, N. Snavely, I. Simon, S.M. Seitz, and R. Szeliski · 2009
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Three things everyone should know to improve object retrieval
Relja Arandjelović and Andrew Zisserman · 2012
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MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching
X. Han, T. Leung, Y. Jia, R. Sukthankar, and A. C. Berg · 2015
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Reconstructing the World in Six Days
J. Heinly, J.L. Schoenberger, E. Dunn, and J.-M. Frahm · 2015
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
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Orb-Slam: A Versatile and Accurate Monocular Slam System
R. Mur-Artal, J. Montiel, and J. Tardós · 2015
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U-Net: Convolutional Networks for Biomedical Image Segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
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Discriminative Learning of Deep Convolutional Feature Point Descriptors
E. Simo-Serra, E. Trulls, L. Ferraz, I. Kokkinos, P. Fua, and F. Moreno-Noguer · 2015
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TILDE: A Temporally Invariant Learned DEtector
Y. Verdie, K. M. Yi, P. Fua, and V. Lepetit · 2015
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Learning to Compare Image Patches via Convolutional Neural Networks
S. Zagoruyko and N. Komodakis · 2015
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Enet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
A. Paszke, A. Chaurasia, S. Kim, and E. Culurciello · 2016
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Structure-From-Motion Revisited
J.L. Schönberger and J.M. Frahm · 2016
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LIFT: Learned Invariant Feature Transform
K. M. Yi, E. Trulls, V. Lepetit, and P. Fua · 2016
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Learning to Assign Orientations to Feature Points
K. M. Yi, Y. Verdie, P. Fua, and V. Lepetit · 2016
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Hpatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors
V. Balntas, K. Lenc, A. Vedaldi, and K. Mikolajczyk · 2017
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Working Hard to Know Your Neighbor’s Margins: Local Descriptor Learning Loss
A. Mishchuk, D. Mishkin, F. Radenovic, and J. Matas · 2017
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Large-scale image retrieval with attentive deep local features
Hyeonwoo Noh, Andre Araujo, Jack Sim, Tobias Weyand, and Bohyung Han · 2017
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Quad-Networks: Unsupervised Learning to Rank for Interest Point Detection
N. Savinov, A. Seki, L. Ladicky, T. Sattler, and M. Pollefeys · 2017
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
M. Dusmanu, I. Rocco, T. Pajdla, M. Pollefeys, J. Sivic, A. Torii, and T. Sattler · 2019
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Beyond Cartesian Representations for Local Descriptors
P. Ebel, A. Mishchuk, K. M. Yi, P. Fua, and E. Trulls · 2019
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Key. net: Keypoint detection by handcrafted and learned cnn filters
Axel Barroso Laguna, Edgar Riba, Daniel Ponsa, and Krystian Mikolajczyk · 2019
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Contextdesc: Local Descriptor Augmentation with Cross-Modality Context
Z. Luo, T. Shen, L. Zhou, J. Zhang, Y. Yao, S. Li, T. Fang, and L. Quan · 2019
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R2D2: Repeatable and Reliable Detector and Descriptor
J. Revaud, P. Weinzaepfel, C. De Souza, N. Pion, G. Csurka, Y. Cabon, and M. Humenberger · 2019
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Understanding the limitations of CNN-based absolute camera pose regression
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Comparative Evaluation of Hand-Crafted and Learned Local Features
Johannes Lutz Schönberger, Hans Hardmeier, Torsten Sattler, and Marc Pollefeys · 2017
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L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space
Y. Tian, B. Fan, and F. Wu · 2017
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Matching features without descriptors: Implicitly matched interest points
Titus Cieslewski, Michael Bloesch, and Davide Scaramuzza · 2018
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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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Geodesc: Learning Local Descriptors by Integrating Geometry Constraints
Z. Luo, T. Shen, L. Zhou, S. Zhu, R. Zhang, Y. Yao, T. Fang, and L. Quan · 2018
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Torsten Sattler, Qunjie Zhou, Marc Pollefeys, and Laura Leal-Taixe · 2019
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SOSNet: Second order similarity regularization for local descriptor learning
Yurun Tian, Xin Yu, Bin Fan, Fuchao Wu, Huub Heijnen, and Vassileios Balntas · 2019
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Glampoints: Greedily learned accurate match points
P. Truong, S. Apostolopoulos, A. Mosinska, S. Stucky, C. Ciller, and S. De Zanet · 2019
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Learning two-view correspondences and geometry using order-aware network
Jiahui Zhang, Dawei Sun, Zixin Luo, Anbang Yao, Lei Zhou, Tianwei Shen, Yurong Chen, Long Quan, and Hongen Liao · 2019
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Is there anything new to say about SIFT matching?
Fabio Bellavia and Carlo Colombo · 2020
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Reinforced feature points: Optimizing feature detection and description for a high-level task
Aritra Bhowmik, Stefan Gumhold, Carsten Rother, and Eric Brachmann · 2020
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Multi-View Optimization of Local Feature Geometry
Mihai Dusmanu, Johannes L Schönberger, and Marc Pollefeys · 2020
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Image Matching across Wide Baselines: From Paper to Practice
Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, and Eduard Trulls · 2020
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Large-scale, real-time visual-inertial localization revisited
S. Lynen, B. Zeisl, D. Aiger, M. Bosse, J. Hesch, M. Pollefeys, R. Siegwart, and T. Sattler · 2020
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SuperGlue: Learning Feature Matching with Graph Neural Networks
Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, and Andrew Rabinovich · 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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