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Conference Paper/Proceeding/Abstract 551 views

Deep Visual Place Recognition for Waterborne Domains

Luke Thomas, Mike Edwards Orcid Logo, Austin Capsey, Alma Rahat Orcid Logo, Matt Roach Orcid Logo

2022 IEEE International Conference on Image Processing (ICIP). 16-19th October Bordeaux, France.

Swansea University Authors: Luke Thomas, Mike Edwards Orcid Logo, Alma Rahat Orcid Logo, Matt Roach Orcid Logo

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Published in: 2022 IEEE International Conference on Image Processing (ICIP). 16-19th October Bordeaux, France.
ISBN: 978-1-6654-9621-6 978-1-6654-9620-9
ISSN: 1522-4880 2381-8549
Published: IEEE 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa60685
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first_indexed 2022-11-17T15:34:07Z
last_indexed 2023-01-13T19:20:59Z
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spelling 2022-12-22T10:49:16.3233560 v2 60685 2022-08-01 Deep Visual Place Recognition for Waterborne Domains e7cc87260c4c4d065729cd8374eff0b8 Luke Thomas Luke Thomas true false 684864a1ce01c3d774e83ed55e41770e 0000-0003-3367-969X Mike Edwards Mike Edwards true false 6206f027aca1e3a5ff6b8cd224248bc2 0000-0002-5023-1371 Alma Rahat Alma Rahat true false 9722c301d5bbdc96e967cdc629290fec 0000-0002-1486-5537 Matt Roach Matt Roach true false 2022-08-01 SCS Conference Paper/Proceeding/Abstract 2022 IEEE International Conference on Image Processing (ICIP). 16-19th October Bordeaux, France. IEEE 978-1-6654-9621-6 978-1-6654-9620-9 1522-4880 2381-8549 Place Recognition, Autonomous Vessels, Waterborne Domains, Image Saliency 18 10 2022 2022-10-18 10.1109/icip46576.2022.9897962 https://ieeexplore.ieee.org/xpl/conhome/9897158/proceeding COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University Funded by the EPSRC Centre for Doctoral Training in Enhancing Human Interactions and Collaborations with Data and Intelligence Driven Systems (EP/S021892/1) 2022-12-22T10:49:16.3233560 2022-08-01T09:31:22.4307476 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Luke Thomas 1 Mike Edwards 0000-0003-3367-969X 2 Austin Capsey 3 Alma Rahat 0000-0002-5023-1371 4 Matt Roach 0000-0002-1486-5537 5
title Deep Visual Place Recognition for Waterborne Domains
spellingShingle Deep Visual Place Recognition for Waterborne Domains
Luke Thomas
Mike Edwards
Alma Rahat
Matt Roach
title_short Deep Visual Place Recognition for Waterborne Domains
title_full Deep Visual Place Recognition for Waterborne Domains
title_fullStr Deep Visual Place Recognition for Waterborne Domains
title_full_unstemmed Deep Visual Place Recognition for Waterborne Domains
title_sort Deep Visual Place Recognition for Waterborne Domains
author_id_str_mv e7cc87260c4c4d065729cd8374eff0b8
684864a1ce01c3d774e83ed55e41770e
6206f027aca1e3a5ff6b8cd224248bc2
9722c301d5bbdc96e967cdc629290fec
author_id_fullname_str_mv e7cc87260c4c4d065729cd8374eff0b8_***_Luke Thomas
684864a1ce01c3d774e83ed55e41770e_***_Mike Edwards
6206f027aca1e3a5ff6b8cd224248bc2_***_Alma Rahat
9722c301d5bbdc96e967cdc629290fec_***_Matt Roach
author Luke Thomas
Mike Edwards
Alma Rahat
Matt Roach
author2 Luke Thomas
Mike Edwards
Austin Capsey
Alma Rahat
Matt Roach
format Conference Paper/Proceeding/Abstract
container_title 2022 IEEE International Conference on Image Processing (ICIP). 16-19th October Bordeaux, France.
publishDate 2022
institution Swansea University
isbn 978-1-6654-9621-6
978-1-6654-9620-9
issn 1522-4880
2381-8549
doi_str_mv 10.1109/icip46576.2022.9897962
publisher IEEE
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
url https://ieeexplore.ieee.org/xpl/conhome/9897158/proceeding
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published_date 2022-10-18T04:18:59Z
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