visual-place-recognition-papers

Summary of papers on visual place recognition.

https://github.com/xrobotspace/visual-place-recognition-papers

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
    Links to: arxiv.org, sciencedirect.com, ieee.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (3.9%) to scientific vocabulary
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Summary of papers on visual place recognition.

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Created 9 months ago · Last pushed 7 months ago
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Readme Citation

README.md

Visual-Place-Recognition-Papers

Summary of papers on visual place recognition.

Table of Contents

Datasets

| Datasets | Papers | Github | |---|---|---| | SPED | Deep Learning Features at Scale for Visual Place Recognition | Github Github | | GSV-CITIES | GSV-CITIES: Toward appropriate supervised visual place recognition | Github Project |

Papers

CNN-based

| Title | First Author | Institution | Venue | Github | Bibtex | |---|---|---|---|---|---| | Convolutional Neural Network-based Place Recognition | Zetao Chen | QUT | ACRA 2014 | | BibTex | | On the Performance of ConvNet Features for Place Recognition | Niko Sünderhauf | QUT | IROS 2015 | | BibTex | | Training a Convolutional Neural Network for Appearance-Invariant Place Recognition | Gomez-Ojeda | Malaga | Arxiv 2015 | | BibTex | | Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free | Niko Sünderhauf | QUT | RSS 2015 | Github | BibTex | | NetVLAD: CNN architecture for weakly supervised place recognition | Relja Arandjelovic | INRIA | CVPR 2016 | Github Project | BibTex | | Fusion and Binarization of CNN Features for Robust Topological Localization across Seasons | Roberto Arroyo | UHA | IROS 2016 | | BibTex | | Deep Learning Features at Scale for Visual Place Recognition | Zetao Chen | ETH | ICRA 2017 | Github Github | BibTex | | Appearance-invariant place recognition by discriminatively training a convolutional neural network | Lopez-Antequera | Malaga | PRL 2017 | | BibTex | | Only Look Once, Mining Distinctive Landmarks from ConvNet for Visual Place Recognition | Zetao Chen | ETH | IROS 2017 | Github | BibTex | | NetVLAD: CNN architecture for weakly supervised place recognition | Relja Arandjelovic | INRIA | TPAMI 2018 | Github Project | BibTex | | LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics | Sourav Garg | QUT | RSS 2018 | Github | BibTex | | Semantic–geometric visual place recognition: a new perspective for reconciling opposing views | Sourav Garg | QUT | IJRR 2022 | | BibTex | | Rethinking Visual Geo-localization for Large-Scale Applications | Gabriele Berton | Polito | CVPR 2022 | Github | BibTex | | GSV-CITIES: Toward appropriate supervised visual place recognition | Amar Ali-bey | Laval | Neurocomputing 2022 | Github Project | BibTex | | MixVPR: Feature Mixing for Visual Place Recognition | Amar Ali-bey | Laval | WACV 2023 | Github | BibTex | | StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition | Yanqing Shen | XJTU | CVPR 2023 | | BibTex | | EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition | Gabriele Berton | Torino | ICCV 2023 | Github | BibTex | | MIXVPR++: Enhanced Visual Place Recognition With Hierarchical-Region Feature-Mixer and Adaptive Gabor Texture Fuser | Jiwei Nie | NEU | RAL 2025 | | BibTex |

Transformer-based

| Title | First Author | Institution | Venue | Github | Bibtex | |---|---|---|---|---|---| | TransVPR: Transformer-Based Place Recognition with Multi-Level Attention Aggregation | Ruotong Wang | XJTU | CVPR 2022 | Github | BibTex | | Hybrid CNN-Transformer Features for Visual Place Recognition | Yuwei Wang | XDU | TCSVT 2023 | | BibTex |

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Citation (citations/Ali-bey_2022_GSV-CITIES.txt)

@article{ali2022gsv,
  title={GSV-Cities: Toward appropriate supervised visual place recognition},
  author={Ali-bey, Amar and Chaib-draa, Brahim and Gigu{\`e}re, Philippe},
  journal={Neurocomputing},
  volume={513},
  pages={194--203},
  year={2022},
  publisher={Elsevier}
}

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