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  license: apache-2.0
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  ---
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  # UMT-msrvtt-7k Model Card
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- UMT-msrvtt-7k is the model used to compute UMTScore for the [FETV](https://github.com/llyx97/FETV) benchmark. It is initialized from the [UMT model](https://github.com/OpenGVLab/unmasked_teacher/blob/main/multi_modality/MODEL_ZOO.md) (UMT-L/16, 25M) and is fined-tuned on the 7k training split of MSR-VTT for video-text retrieval.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
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  ---
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  # UMT-msrvtt-7k Model Card
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+ UMT-msrvtt-7k is the model used to compute UMTScore for the [FETV](https://github.com/llyx97/FETV) benchmark. It is initialized from the [UMT model](https://github.com/OpenGVLab/unmasked_teacher/blob/main/multi_modality/MODEL_ZOO.md) (UMT-L/16, 25M) and is fined-tuned on the 7k training split of MSR-VTT for video-text retrieval.
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+
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+ # Citation
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+ ```bibtex
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+ @article{liu2023fetv,
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+ title = {FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation},
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+ author = {Yuanxin Liu and Lei Li and Shuhuai Ren and Rundong Gao and Shicheng Li and Sishuo Chen and Xu Sun and Lu Hou},
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+ year = {2023},
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+ journal = {arXiv preprint arXiv: 2311.01813}
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+ }
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+ ```
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+ ```
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+ @misc{li2023unmasked,
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+ title={Unmasked Teacher: Towards Training-Efficient Video Foundation Models},
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+ author={Kunchang Li and Yali Wang and Yizhuo Li and Yi Wang and Yinan He and Limin Wang and Yu Qiao},
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+ year = {2023}
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+ journal = {arXiv preprint arXiv: 2303.16058}
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+ }
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+ ```