Conference Paper/Proceeding/Abstract 551 views
Deep Visual Place Recognition for Waterborne Domains
2022 IEEE International Conference on Image Processing (ICIP). 16-19th October Bordeaux, France.
Swansea University Authors: Luke Thomas, Mike Edwards , Alma Rahat , Matt Roach
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DOI (Published version): 10.1109/icip46576.2022.9897962
Abstract
Deep Visual Place Recognition for Waterborne Domains
Published in: | 2022 IEEE International Conference on Image Processing (ICIP). 16-19th October Bordeaux, France. |
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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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2022-11-17T15:34:07Z |
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2023-01-13T19:20:59Z |
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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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0 |
active_str |
0 |
published_date |
2022-10-18T04:18:59Z |
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1763754261864251392 |
score |
11.035634 |