You're currently viewing an old version of this dataset. To see the current version, click here.

Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching

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

Fatemeh Azimi, Stanislav Frolov, Federico Raue, J¨orn Hees, Andreas Dengel (2024). Dataset: Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching. https://doi.org/10.57702/u9fuiwda

Private DOI This DOI is not yet resolvable.
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/10.48550/arXiv.2010.05069
Author Fatemeh Azimi
More Authors
Stanislav Frolov
Federico Raue
J¨orn Hees
Andreas Dengel
Homepage https://github.com/fatemehazimi990/HS2S