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UVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation via Segment Anything Model

Unsupervised video object segmentation has made significant progress in recent years, but the manual annotation of video mask datasets is expensive and limits the diversity of available datasets.

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Cite this as

Zhenghao Zhang, Zhichao Wei, Shengfan Zhang, Zuozhuo Dai, Siyu Zhu (2024). Dataset: UVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation via Segment Anything Model. https://doi.org/10.57702/rohks306

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2305.12659
Author	Zhenghao Zhang
More Authors	Zhichao Wei Shengfan Zhang Zuozhuo Dai Siyu Zhu
Homepage	https://arxiv.org/abs/2304.02643