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Unsupervised Learning Methods for Visual Place Recognition in Discretely
  and Continuously Changing Environments

Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments

IEEE International Conference on Robotics and Automation (ICRA), 2020
24 January 2020
Stefan Schubert
Peer Neubert
P. Protzel
    OOD
ArXiv (abs)PDFHTML

Papers citing "Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments"

18 / 18 papers shown
NocPlace: Nocturnal Visual Place Recognition via Generative and
  Inherited Knowledge Transfer
NocPlace: Nocturnal Visual Place Recognition via Generative and Inherited Knowledge Transfer
Bingxi Liu
Yiqun Wang
Huaqi Tao
Tingjun Huang
Fulin Tang
Yihong Wu
Jinqiang Cui
Hong Zhang
437
1
0
27 Feb 2024
Hierarchical Unsupervised Topological SLAM
Hierarchical Unsupervised Topological SLAM
Ayush Sharma
Yash Mehan
Pradyumna Dasu
Sourav Garg
Madhava Krishna
187
0
0
07 Oct 2023
VPRTempo: A Fast Temporally Encoded Spiking Neural Network for Visual
  Place Recognition
VPRTempo: A Fast Temporally Encoded Spiking Neural Network for Visual Place RecognitionIEEE International Conference on Robotics and Automation (ICRA), 2023
Adam D. Hines
Peter G. Stratton
Michael Milford
Tobias Fischer
328
10
0
19 Sep 2023
A Coarse-to-Fine Place Recognition Approach using Attention-guided
  Descriptors and Overlap Estimation
A Coarse-to-Fine Place Recognition Approach using Attention-guided Descriptors and Overlap EstimationIEEE International Conference on Robotics and Automation (ICRA), 2023
Chencan Fu
Lin Li
Linpeng Peng
Yukai Ma
Xiangrui Zhao
Yong Liu
305
3
0
13 Mar 2023
Visual Place Recognition: A Tutorial
Visual Place Recognition: A TutorialIEEE robotics & automation magazine (IEEE RAM), 2023
Stefan Schubert
Peer Neubert
Sourav Garg
Michael Milford
Tobias Fischer
442
43
0
06 Mar 2023
Boosting Performance of a Baseline Visual Place Recognition Technique by
  Predicting the Maximally Complementary Technique
Boosting Performance of a Baseline Visual Place Recognition Technique by Predicting the Maximally Complementary TechniqueIEEE International Conference on Robotics and Automation (ICRA), 2022
Connor Malone
Stephen Hausler
Tobias Fischer
Michael Milford
259
6
0
14 Oct 2022
The Revisiting Problem in Simultaneous Localization and Mapping: A
  Survey on Visual Loop Closure Detection
The Revisiting Problem in Simultaneous Localization and Mapping: A Survey on Visual Loop Closure Detection
Konstantinos A. Tsintotas
Loukas Bampis
Antonios Gasteratos
366
132
0
27 Apr 2022
Self-Supervised Domain Calibration and Uncertainty Estimation for Place
  Recognition
Self-Supervised Domain Calibration and Uncertainty Estimation for Place RecognitionIEEE Robotics and Automation Letters (RA-L), 2022
Pierre-Yves Lajoie
Giovanni Beltrame
UQCV
289
10
0
08 Mar 2022
Unsupervised Complementary-aware Multi-process Fusion for Visual Place
  Recognition
Unsupervised Complementary-aware Multi-process Fusion for Visual Place Recognition
Stephen Hausler
Tobias Fischer
Michael Milford
228
7
0
09 Dec 2021
What makes visual place recognition easy or hard?
What makes visual place recognition easy or hard?
Stefan Schubert
Peer Neubert
HAI
135
23
0
23 Jun 2021
Place recognition survey: An update on deep learning approaches
Place recognition survey: An update on deep learning approaches
T. Barros
Ricardo Pereira
L. Garrote
C. Premebida
U. J. Nunes
301
31
0
19 Jun 2021
Beyond ANN: Exploiting Structural Knowledge for Efficient Place
  Recognition
Beyond ANN: Exploiting Structural Knowledge for Efficient Place RecognitionIEEE International Conference on Robotics and Automation (ICRA), 2021
Stefan Schubert
Peer Neubert
P. Protzel
123
8
0
15 Mar 2021
Where is your place, Visual Place Recognition?
Where is your place, Visual Place Recognition?International Joint Conference on Artificial Intelligence (IJCAI), 2021
Sourav Garg
Tobias Fischer
Michael Milford
410
140
0
11 Mar 2021
Hyperdimensional computing as a framework for systematic aggregation of
  image descriptors
Hyperdimensional computing as a framework for systematic aggregation of image descriptorsComputer Vision and Pattern Recognition (CVPR), 2021
Peer Neubert
Stefan Schubert
283
58
0
19 Jan 2021
Graph-based non-linear least squares optimization for visual place
  recognition in changing environments
Graph-based non-linear least squares optimization for visual place recognition in changing environmentsIEEE Robotics and Automation Letters (RA-L), 2020
Stefan Schubert
Peer Neubert
P. Protzel
121
10
0
29 Dec 2020
Intelligent Reference Curation for Visual Place Recognition via Bayesian
  Selective Fusion
Intelligent Reference Curation for Visual Place Recognition via Bayesian Selective FusionIEEE Robotics and Automation Letters (RA-L), 2020
Timothy L. Molloy
Tobias Fischer
Michael Milford
G. Nair
176
18
0
19 Oct 2020
Delta Descriptors: Change-Based Place Representation for Robust Visual
  Localization
Delta Descriptors: Change-Based Place Representation for Robust Visual LocalizationIEEE Robotics and Automation Letters (RA-L), 2020
Sourav Garg
Ben Harwood
G. Anand
Michael Milford
180
48
0
10 Jun 2020
A comparison of Vector Symbolic Architectures
A comparison of Vector Symbolic ArchitecturesArtificial Intelligence Review (AI Review), 2020
Kenny Schlegel
Peer Neubert
P. Protzel
483
145
0
31 Jan 2020
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