The First Visual Object Tracking Segmentation VOTS2023 Challenge Results
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00371785" target="_blank" >RIV/68407700:21230/23:00371785 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ICCVW60793.2023.00195" target="_blank" >https://doi.org/10.1109/ICCVW60793.2023.00195</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCVW60793.2023.00195" target="_blank" >10.1109/ICCVW60793.2023.00195</a>
Alternative languages
Result language
angličtina
Original language name
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results
Original language description
The Visual Object Tracking Segmentation VOTS2023 challenge is the eleventh annual tracker benchmarking activity of the VOT initiative. This challenge is the first to merge short-term and long-term as well as single-target and multiple-target tracking with segmentation masks as the only target location specification. A new dataset was created; the ground truth has been withheld to prevent overfitting. New performance measures and evaluation protocols have been created along with a new toolkit and an evaluation server. Results of the presented 47 trackers indicate that modern tracking frameworks are well-suited to deal with convergence of short-term and long-term tracking and that multiple and single target tracking can be considered a single problem. A leaderboard, with participating trackers details, the source code, the datasets, and the evaluation kit are publicly available at the challenge website
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ICCVW2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
ISBN
979-8-3503-0744-3
ISSN
2473-9936
e-ISSN
2473-9944
Number of pages
23
Pages from-to
1788-1810
Publisher name
IEEE
Place of publication
Anchorage, Alaska
Event location
Paris
Event date
Oct 2, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001156680301096