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lyx97/UMT-msrvtt-7k
UMT-msrvtt-7k is a machine learning model from lyx97. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
UMT-msrvtt-7k is the model used to compute UMTScore for the FETV benchmark. It is initialized from the UMT model (UMT-L/16, 25M) and is fined-tuned on the 7k training split of MSR-VTT for video-text retrieval.
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Updated Dec 18, 2023
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From the Hugging Face model README
UMT-msrvtt-7k is the model used to compute UMTScore for the FETV benchmark. It is initialized from the UMT model (UMT-L/16, 25M) and is fined-tuned on the 7k training split of MSR-VTT for video-text retrieval.
@article{liu2023fetv,
title = {FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation},
author = {Yuanxin Liu and Lei Li and Shuhuai Ren and Rundong Gao and Shicheng Li and Sishuo Chen and Xu Sun and Lu Hou},
year = {2023},
journal = {arXiv preprint arXiv: 2311.01813}
}
@article{li2023unmasked,
title={Unmasked Teacher: Towards Training-Efficient Video Foundation Models},
author={Kunchang Li and Yali Wang and Yizhuo Li and Yi Wang and Yinan He and Limin Wang and Yu Qiao},
year = {2023}
journal = {arXiv preprint arXiv: 2303.16058}
}