No Cover Image

Conference Paper/Proceeding/Abstract 6 views

CTVIS: Consistent Training for Online Video Instance Segmentation

Kaining Ying, Qing Zhong, Weian Mao, Zhenhua Wang, Hao Chen, Yuanbo Wu Orcid Logo, Yifan Liu, Chengxiang Fan, Yunzhi Zhuge, Chunhua Shen

2023 IEEE/CVF International Conference on Computer Vision (ICCV), Pages: 899 - 908

Swansea University Author: Yuanbo Wu Orcid Logo

Full text not available from this repository: check for access using links below.

Published in: 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
ISBN: 979-8-3503-0719-1 979-8-3503-0718-4
ISSN: 1550-5499 2380-7504
Published: IEEE 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa68149
first_indexed 2025-01-23T14:16:57Z
last_indexed 2025-01-23T20:48:47Z
id cronfa68149
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2025-01-23T14:20:18.5343159</datestamp><bib-version>v2</bib-version><id>68149</id><entry>2024-11-02</entry><title>CTVIS: Consistent Training for Online Video Instance Segmentation</title><swanseaauthors><author><sid>205b1ac5a767e977bebb5d6afd770784</sid><ORCID>0000-0001-6119-058X</ORCID><firstname>Yuanbo</firstname><surname>Wu</surname><name>Yuanbo Wu</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-11-02</date><deptcode>MACS</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal>2023 IEEE/CVF International Conference on Computer Vision (ICCV)</journal><volume/><journalNumber/><paginationStart>899</paginationStart><paginationEnd>908</paginationEnd><publisher>IEEE</publisher><placeOfPublication/><isbnPrint>979-8-3503-0719-1</isbnPrint><isbnElectronic>979-8-3503-0718-4</isbnElectronic><issnPrint>1550-5499</issnPrint><issnElectronic>2380-7504</issnElectronic><keywords>Training, instance segmentation, Deformable models, Costs, Deformation, Computational modeling, Pipelines</keywords><publishedDay>15</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2024</publishedYear><publishedDate>2024-01-15</publishedDate><doi>10.1109/iccv51070.2023.00089</doi><url/><notes/><college>COLLEGE NANME</college><department>Mathematics and Computer Science School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MACS</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>This work was supported by National Key R&amp;D Program of China (No. 2022ZD0118700), National Natural Science Foundation of China (No. 62272395), Zhejiang Provincial Natural Science Foundation of China (No. LY21F020024), and Qin Chuangyuan Innovation and Entrepreneurship Talent Project (No. QCYRCXM-2022-359).</funders><projectreference/><lastEdited>2025-01-23T14:20:18.5343159</lastEdited><Created>2024-11-02T13:22:39.2555968</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Kaining</firstname><surname>Ying</surname><order>1</order></author><author><firstname>Qing</firstname><surname>Zhong</surname><order>2</order></author><author><firstname>Weian</firstname><surname>Mao</surname><order>3</order></author><author><firstname>Zhenhua</firstname><surname>Wang</surname><order>4</order></author><author><firstname>Hao</firstname><surname>Chen</surname><order>5</order></author><author><firstname>Yuanbo</firstname><surname>Wu</surname><orcid>0000-0001-6119-058X</orcid><order>6</order></author><author><firstname>Yifan</firstname><surname>Liu</surname><order>7</order></author><author><firstname>Chengxiang</firstname><surname>Fan</surname><order>8</order></author><author><firstname>Yunzhi</firstname><surname>Zhuge</surname><order>9</order></author><author><firstname>Chunhua</firstname><surname>Shen</surname><order>10</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2025-01-23T14:20:18.5343159 v2 68149 2024-11-02 CTVIS: Consistent Training for Online Video Instance Segmentation 205b1ac5a767e977bebb5d6afd770784 0000-0001-6119-058X Yuanbo Wu Yuanbo Wu true false 2024-11-02 MACS Conference Paper/Proceeding/Abstract 2023 IEEE/CVF International Conference on Computer Vision (ICCV) 899 908 IEEE 979-8-3503-0719-1 979-8-3503-0718-4 1550-5499 2380-7504 Training, instance segmentation, Deformable models, Costs, Deformation, Computational modeling, Pipelines 15 1 2024 2024-01-15 10.1109/iccv51070.2023.00089 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University This work was supported by National Key R&D Program of China (No. 2022ZD0118700), National Natural Science Foundation of China (No. 62272395), Zhejiang Provincial Natural Science Foundation of China (No. LY21F020024), and Qin Chuangyuan Innovation and Entrepreneurship Talent Project (No. QCYRCXM-2022-359). 2025-01-23T14:20:18.5343159 2024-11-02T13:22:39.2555968 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Kaining Ying 1 Qing Zhong 2 Weian Mao 3 Zhenhua Wang 4 Hao Chen 5 Yuanbo Wu 0000-0001-6119-058X 6 Yifan Liu 7 Chengxiang Fan 8 Yunzhi Zhuge 9 Chunhua Shen 10
title CTVIS: Consistent Training for Online Video Instance Segmentation
spellingShingle CTVIS: Consistent Training for Online Video Instance Segmentation
Yuanbo Wu
title_short CTVIS: Consistent Training for Online Video Instance Segmentation
title_full CTVIS: Consistent Training for Online Video Instance Segmentation
title_fullStr CTVIS: Consistent Training for Online Video Instance Segmentation
title_full_unstemmed CTVIS: Consistent Training for Online Video Instance Segmentation
title_sort CTVIS: Consistent Training for Online Video Instance Segmentation
author_id_str_mv 205b1ac5a767e977bebb5d6afd770784
author_id_fullname_str_mv 205b1ac5a767e977bebb5d6afd770784_***_Yuanbo Wu
author Yuanbo Wu
author2 Kaining Ying
Qing Zhong
Weian Mao
Zhenhua Wang
Hao Chen
Yuanbo Wu
Yifan Liu
Chengxiang Fan
Yunzhi Zhuge
Chunhua Shen
format Conference Paper/Proceeding/Abstract
container_title 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
container_start_page 899
publishDate 2024
institution Swansea University
isbn 979-8-3503-0719-1
979-8-3503-0718-4
issn 1550-5499
2380-7504
doi_str_mv 10.1109/iccv51070.2023.00089
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
document_store_str 0
active_str 0
published_date 2024-01-15T20:43:48Z
_version_ 1822164442078511104
score 11.048453