Point-VOS

Point-VOS: Pointing Up Video Object Segmentation. Current state-of-the-art Video Object Segmentation (VOS) methods rely on dense per-object mask annotations both during training and testing. This requires time-consuming and costly video annotation mechanisms. We propose a novel Point-VOS task with a spatio-temporally sparse point-wise annotation scheme that substantially reduces the annotation effort.

Data and Resources

Cite this as

Idil Esen Zulfikar, Sabarinath Mahadevan, Paul Voigtlaender, Bastian Leibe (2024). Dataset: Point-VOS. https://doi.org/10.57702/2xtfc4k3

DOI retrieved: December 3, 2024

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2402.05917
Author Idil Esen Zulfikar
More Authors
Sabarinath Mahadevan
Paul Voigtlaender
Bastian Leibe
Homepage https://pointvos.github.io