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SuperGlue: Learning Feature Matching with Graph Neural Networks
v1v2 (latest)

SuperGlue: Learning Feature Matching with Graph Neural Networks

26 November 2019
Paul-Edouard Sarlin
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
    3DPCOffRL
ArXiv (abs)PDFHTMLGithub (3648★)

Papers citing "SuperGlue: Learning Feature Matching with Graph Neural Networks"

31 / 81 papers shown
Title
From Coarse to Fine: Robust Hierarchical Localization at Large Scale
From Coarse to Fine: Robust Hierarchical Localization at Large Scale
Paul-Edouard Sarlin
Cesar Cadena
Roland Siegwart
Marcin Dymczyk
3DV
52
878
0
09 Dec 2018
Self-Improving Visual Odometry
Self-Improving Visual Odometry
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
MDE
65
29
0
08 Dec 2018
Neighbourhood Consensus Networks
Neighbourhood Consensus Networks
Ignacio Rocco
Mircea Cimpoi
Relja Arandjelović
Akihiko Torii
Tomas Pajdla
Josef Sivic
78
391
0
24 Oct 2018
Set Transformer: A Framework for Attention-based Permutation-Invariant
  Neural Networks
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Juho Lee
Yoonho Lee
Jungtaek Kim
Adam R. Kosiorek
Seungjin Choi
Yee Whye Teh
123
275
0
01 Oct 2018
SConE: Siamese Constellation Embedding Descriptor for Image Matching
SConE: Siamese Constellation Embedding Descriptor for Image Matching
Tomasz Trzciñski
J. Komorowski
Lukasz Dabala
K. Czarnota
Grzegorz Kurzejamski
Simon Lynen
26
10
0
28 Sep 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CENAI
769
3,131
0
04 Jun 2018
LF-Net: Learning Local Features from Images
LF-Net: Learning Local Features from Images
Y. Ono
Eduard Trulls
Pascal Fua
K. M. Yi
70
529
0
24 May 2018
MegaDepth: Learning Single-View Depth Prediction from Internet Photos
MegaDepth: Learning Single-View Depth Prediction from Internet Photos
Zhengqi Li
Noah Snavely
MDE3DV
115
1,023
0
02 Apr 2018
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
Filip Radenovic
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
55
380
0
29 Mar 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
229
2,151
0
01 Mar 2018
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching
Haowen Deng
Tolga Birdal
Slobodan Ilic
3DV3DPC
82
551
0
07 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
257
6,169
0
24 Jan 2018
SuperPoint: Self-Supervised Interest Point Detection and Description
SuperPoint: Self-Supervised Interest Point Detection and Description
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
3DPC
145
2,478
0
20 Dec 2017
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
300
8,918
0
21 Nov 2017
Learning to Find Good Correspondences
Learning to Find Good Correspondences
K. M. Yi
Eduard Trulls
Y. Ono
Vincent Lepetit
Mathieu Salzmann
Pascal Fua
3DV
67
480
0
16 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,233
0
30 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
789
132,454
0
12 Jun 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric
  Space
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi
L. Yi
Hao Su
Leonidas Guibas
3DPC3DV
366
11,154
0
07 Jun 2017
Convolutional Sequence to Sequence Learning
Convolutional Sequence to Sequence Learning
Jonas Gehring
Michael Auli
David Grangier
Denis Yarats
Yann N. Dauphin
AIMat
171
3,289
0
08 May 2017
HPatches: A benchmark and evaluation of handcrafted and learned local
  descriptors
HPatches: A benchmark and evaluation of handcrafted and learned local descriptors
Vassileios Balntas
Karel Lenc
Andrea Vedaldi
K. Mikolajczyk
106
722
0
19 Apr 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
598
7,496
0
04 Apr 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
427
2,480
0
10 Mar 2017
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
Angela Dai
Angel X. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias Nießner
3DPC3DV
500
4,081
0
14 Feb 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH3DPC3DVPINN
493
14,371
0
02 Dec 2016
Instance Normalization: The Missing Ingredient for Fast Stylization
Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
177
3,713
0
27 Jul 2016
Past, Present, and Future of Simultaneous Localization And Mapping:
  Towards the Robust-Perception Age
Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age
Cesar Cadena
Luca Carlone
Henry Carrillo
Yasir Latif
Davide Scaramuzza
José Neira
Ian Reid
J. Leonard
127
2,926
0
19 Jun 2016
Deep Image Homography Estimation
Deep Image Homography Estimation
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
59
441
0
13 Jun 2016
BundleFusion: Real-time Globally Consistent 3D Reconstruction using
  On-the-fly Surface Re-integration
BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration
Angela Dai
Matthias Nießner
Michael Zollhöfer
Shahram Izadi
Christian Theobalt
3DH
78
541
0
05 Apr 2016
LIFT: Learned Invariant Feature Transform
LIFT: Learned Invariant Feature Transform
K. M. Yi
Eduard Trulls
Vincent Lepetit
Pascal Fua
119
1,211
0
30 Mar 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
220
4,289
0
04 Jun 2013
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