FudanCVL/Cut-VOS

--- license: apache-2.0 size_categories: - n<1K --- The Cut-VOS is a comple Multi-shot Video Object Segmentation (MVOS) benchmark, aims to segment the target object throughout a video sequence given the first mask prompt. Cut-VOS contains 100 videos, 174 annotated objects, and 10.2K high-quality masks with 9 different types of shot transitions. The target objects are accross 11 different categories, involving both actors and static objects. Please cite our work Segment Anything Across Shots: A method and Benchmark if the dataset helps your research. ```bibtex @inproceedings{SAAS2025, title={{S}egment {A}nything {A}cross {S}hots: {A} Method and {B}enchmark}, author={Hu, Hengrui and Ying, Kaining and Ding, Henghui}, booktitle={AAAI}, year={2026} }