The First Visual Object Tracking Segmentation VOTS2023 Challenge Results

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Výzkumné centrum informatiky</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

ICCVW2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

ISBN

979-8-3503-0744-3

ISSN

2473-9936

e-ISSN

2473-9944

Počet stran výsledku

23

Strana od-do

1788-1810

Název nakladatele

IEEE

Místo vydání

Anchorage, Alaska

Místo konání akce

Paris

Datum konání akce

2. 10. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001156680301096