Cited by 160Video Surveillance and Tracking MethodsAdvanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

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Learning What to Learn for Video Object Segmentation

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Bhat, Goutam, Lawin, Felix Järemo, Danelljan, Martin, Robinson, Andreas, Felsberg, Michael, Van Gool, Luc, Timofte, Radu·2020·Lecture Notes in Computer Science

DOI 10.1007/978-3-030-58536-5_46

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Authors: Bhat, G., Lawin, F. J., Danelljan, M., Robinson, A., Felsberg, M., Van Gool, L., & Timofte, R.
Affiliations: ETH Zurich (CH)
Linköping University (SE)
Corresponding author: Bhat, Goutam
ORCID: Lawin, Felix Järemo
Danelljan, Martin
Robinson, Andreas
Felsberg, Michael
Timofte, Radu
Venue: Lecture Notes in Computer Science
Publisher: Springer International Publishing
Published: 2020
Pages: 777-794
ISSN: 0302-9743 (ISSN-L)
1611-3349
DOI: 10.1007/978-3-030-58536-5_46
OpenAlex: W3013056670
Cited by: 160
References: 40
Citations by year: 2026: 4 · 2025: 22 · 2024: 27 · 2023: 38 · 2022: 33 · 2021: 33 · 2020: 3
FWCI: 8.25
Type: conference paper
Language: en
Open access: green
lirias.kuleuven.be
Licence: other-oa
www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Lecture notes in computer science (publishedVersion)
Lirias (acceptedVersion, other-oa)
arXiv (Cornell University) (submittedVersion)
Diva portal (Dalarna University Library) (submittedVersion, other-oa)
arXiv (Cornell University)
Funders: Nvidia
Eidgenössische Technische Hochschule Zürich
Topics: Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
Keywords: video object segmentation, few-shot learning

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