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MSRVTT-QA

Video question answering (VideoQA) requires systems to understand the visual information and infer an answer for a natural language question from it.

Data and Resources

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Cite this as

Zenan Xu, Wanjun Zhong, Qinliang Su, Zijing Ou, Fuwei Zhang (2024). Dataset: MSRVTT-QA. https://doi.org/10.57702/1gghtev5

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2404.11865
Citation
  • https://doi.org/10.48550/arXiv.2312.08870
  • https://doi.org/10.48550/arXiv.2307.12058
  • https://doi.org/10.48550/arXiv.2302.02136
  • https://doi.org/10.48550/arXiv.2205.06530
Author Zenan Xu
More Authors
Wanjun Zhong
Qinliang Su
Zijing Ou
Fuwei Zhang
Homepage https://www.ijcai.org/Proceedings/2017/Proceedings/ICAI-2017-106.pdf