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Learning Feature Matching via Matchable Keypoint-Assisted Graph Neural
  Network

Learning Feature Matching via Matchable Keypoint-Assisted Graph Neural Network

4 July 2023
Zizhuo Li
Jiayi Ma
ArXiv (abs)PDFHTML

Papers citing "Learning Feature Matching via Matchable Keypoint-Assisted Graph Neural Network"

34 / 34 papers shown
Title
ParaFormer: Parallel Attention Transformer for Efficient Feature
  Matching
ParaFormer: Parallel Attention Transformer for Efficient Feature Matching
Xiaoyong Lu
Y. Yan
Bin Kang
Songlin Du
3DPC
57
15
0
02 Mar 2023
ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for
  Efficient Feature Matching
ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching
Yanxing Shi
Junxiong Cai
Yoli Shavit
Tai-Jiang Mu
Wensen Feng
Kai Zhang
GNN
79
79
0
25 Apr 2022
Efficient Linear Attention for Fast and Accurate Keypoint Matching
Efficient Linear Attention for Fast and Accurate Keypoint Matching
Suwichaya Suwanwimolkul
S. Komorita
3DPC3DV
64
11
0
16 Apr 2022
Multi-View Depth Estimation by Fusing Single-View Depth Probability with
  Multi-View Geometry
Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
Gwangbin Bae
Ignas Budvytis
R. Cipolla
3DV
87
64
0
15 Dec 2021
Learning to Match Features with Seeded Graph Matching Network
Learning to Match Features with Seeded Graph Matching Network
Hongkai Chen
Zixin Luo
Jiahui Zhang
Lei Zhou
Xuyang Bai
Zeyu Hu
Chiew-Lan Tai
Long Quan
58
113
0
19 Aug 2021
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing
Boyu Chen
Peixia Li
Baopu Li
Chuming Li
Lei Bai
Chen Lin
Ming Sun
Junjie Yan
Wanli Ouyang
ViT
111
34
0
07 Aug 2021
LoFTR: Detector-Free Local Feature Matching with Transformers
LoFTR: Detector-Free Local Feature Matching with Transformers
Jiaming Sun
Zehong Shen
Yuang Wang
Hujun Bao
Xiaowei Zhou
ViT
99
1,182
0
01 Apr 2021
Progressive Correspondence Pruning by Consensus Learning
Progressive Correspondence Pruning by Consensus Learning
Chen Zhao
Yixiao Ge
Feng Zhu
Rui Zhao
Hongsheng Li
Mathieu Salzmann
67
68
0
03 Jan 2021
Learnable Motion Coherence for Correspondence Pruning
Learnable Motion Coherence for Correspondence Pruning
Yuan Liu
Lingjie Liu
Chu-Hsing Lin
Zhen Dong
Wenping Wang
3DV
79
48
0
30 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
667
41,369
0
22 Oct 2020
Efficient Transformers: A Survey
Efficient Transformers: A Survey
Yi Tay
Mostafa Dehghani
Dara Bahri
Donald Metzler
VLM
159
1,124
0
14 Sep 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear
  Attention
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention
Angelos Katharopoulos
Apoorv Vyas
Nikolaos Pappas
Franccois Fleuret
201
1,771
0
29 Jun 2020
Linformer: Self-Attention with Linear Complexity
Linformer: Self-Attention with Linear Complexity
Sinong Wang
Belinda Z. Li
Madian Khabsa
Han Fang
Hao Ma
216
1,713
0
08 Jun 2020
End-to-End Object Detection with Transformers
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT3DVPINN
424
13,094
0
26 May 2020
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
Huiyu Wang
Yukun Zhu
Bradley Green
Hartwig Adam
Alan Yuille
Liang-Chieh Chen
3DPC
124
673
0
17 Mar 2020
Sparse Sinkhorn Attention
Sparse Sinkhorn Attention
Yi Tay
Dara Bahri
Liu Yang
Donald Metzler
Da-Cheng Juan
88
342
0
26 Feb 2020
Reformer: The Efficient Transformer
Reformer: The Efficient Transformer
Nikita Kitaev
Lukasz Kaiser
Anselm Levskaya
VLM
199
2,327
0
13 Jan 2020
MAGSAC++, a fast, reliable and accurate robust estimator
MAGSAC++, a fast, reliable and accurate robust estimator
Dániel Baráth
Jana Noskova
Maksym Ivashechkin
Jirí Matas
61
249
0
11 Dec 2019
SuperGlue: Learning Feature Matching with Graph Neural Networks
SuperGlue: Learning Feature Matching with Graph Neural Networks
Paul-Edouard Sarlin
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
3DPCOffRL
124
1,947
0
26 Nov 2019
An Evaluation of Feature Matchers for Fundamental Matrix Estimation
An Evaluation of Feature Matchers for Fundamental Matrix Estimation
Jiawang Bian
Yu-Huan Wu
Ji Zhao
Yun-Hai Liu
Le Zhang
Ming-Ming Cheng
Ian Reid
3DV
38
72
0
26 Aug 2019
Learning Two-View Correspondences and Geometry Using Order-Aware Network
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
Hongen Liao
3DPC
73
311
0
14 Aug 2019
D2-Net: A Trainable CNN for Joint Detection and Description of Local
  Features
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
Torsten Sattler
56
688
0
09 May 2019
Learning Combinatorial Embedding Networks for Deep Graph Matching
Learning Combinatorial Embedding Networks for Deep Graph Matching
Runzhong Wang
Junchi Yan
Xiaokang Yang
48
238
0
01 Apr 2019
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
47
875
0
09 Dec 2018
Matchable Image Retrieval by Learning from Surface Reconstruction
Matchable Image Retrieval by Learning from Surface Reconstruction
Tianwei Shen
Zixin Luo
Lei Zhou
Runze Zhang
Siyu Zhu
Tian Fang
Long Quan
3DV
74
50
0
26 Nov 2018
Hierarchical Graph Representation Learning with Differentiable Pooling
Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying
Jiaxuan You
Christopher Morris
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
297
2,154
0
22 Jun 2018
SuperPoint: Self-Supervised Interest Point Detection and Description
SuperPoint: Self-Supervised Interest Point Detection and Description
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
3DPC
140
2,471
0
20 Dec 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
479
20,225
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
728
132,199
0
12 Jun 2017
Graph-Cut RANSAC
Graph-Cut RANSAC
Dániel Baráth
Jirí Matas
55
323
0
03 Jun 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
14,353
0
02 Dec 2016
ORB-SLAM: a Versatile and Accurate Monocular SLAM System
ORB-SLAM: a Versatile and Accurate Monocular SLAM System
Raul Mur-Artal
José M.M. Montiel
Juan D. Tardós
125
6,409
0
03 Feb 2015
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
  Distances
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Marco Cuturi
OT
215
4,277
0
04 Jun 2013
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