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YouTube-VOS

One-shot Video Object Segmentation (VOS) is the task of pixel-wise tracking an object of interest within a video sequence, where the segmentation mask of the first frame is given at inference time.

Data and Resources

This dataset has no data

Cite this as

N. Xu, L. Yang, Y. Fan, D. Yue, Y. Liang, J. Yang, T. Huang (2024). Dataset: YouTube-VOS. https://doi.org/10.57702/qzdb98hv

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.1109/TCSVT.2023.3341170
Citation
  • https://doi.org/10.48550/arXiv.2208.10662
  • https://doi.org/10.48550/arXiv.2103.12934
  • https://doi.org/10.48550/arXiv.2112.02853
  • https://doi.org/10.48550/arXiv.2304.06718
  • https://doi.org/10.48550/arXiv.2010.05069
Author N. Xu
More Authors
L. Yang
Y. Fan
D. Yue
Y. Liang
J. Yang
T. Huang
Homepage https://www.youtube-vos.org/