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MSR-VTT and UCF-101

The dataset used in the paper is MSR-VTT and UCF-101, two public datasets for video-text generation. MSR-VTT contains 4,900 videos with 20 manually annotated captions for each video, while UCF-101 contains 13,320 videos with 101 action categories.

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Cite this as

Kaifeng Gao, Jiaxin Shi, Hanwang Zhang, Chunping Wang, Jun Xiao (2024). Dataset: MSR-VTT and UCF-101. https://doi.org/10.57702/dvyul5ft

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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
Author	Kaifeng Gao
More Authors	Jiaxin Shi Hanwang Zhang Chunping Wang Jun Xiao
Homepage	https://github.com/Dawn-LX/Causal-VideoGen