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The first visual object tracking segmentation VOTS2023 challenge results
University of Ljubljana, Slovenia.
Czech Technical University, Czech Republic.
Eth Zürich, Switzerland.
Linköping University, Sweden.
Visa övriga samt affilieringar
2023 (Engelska)Ingår i: 2023 IEEE/CVF International conference on computer vision workshops (ICCVW), Institute of Electrical and Electronics Engineers Inc. , 2023, s. 1788-1810Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

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 website1

Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers Inc. , 2023. s. 1788-1810
Serie
International Conference on Computer Vision Workshops (ICCV Workshops)
Nationell ämneskategori
Datorgrafik och datorseende
Identifikatorer
URN: urn:nbn:se:umu:diva-220443DOI: 10.1109/ICCVW60793.2023.00195ISI: 001156680301096Scopus ID: 2-s2.0-85175967599ISBN: 9798350307443 (digital)OAI: oai:DiVA.org:umu-220443DiVA, id: diva2:1837264
Konferens
International Conference on Computer Vision, Paris, France, October 2-6, 2023
Forskningsfinansiär
Wallenberg AI, Autonomous Systems and Software Program (WASP)Tillgänglig från: 2024-02-13 Skapad: 2024-02-13 Senast uppdaterad: 2025-04-24Bibliografiskt granskad

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Tran, Khanh-TungVu, Xuan-SonBjörklund, Johanna

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Tran, Khanh-TungVu, Xuan-SonBjörklund, Johanna
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Datorgrafik och datorseende

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Totalt: 219 träffar
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