Video In-Context Learning

Video In-Context Learning (Vid-ICL) is a novel framework that extends in-context learning to video data.

Data and Resources

Cite this as

Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian (2024). Dataset: Video In-Context Learning. https://doi.org/10.57702/gga73m2p

DOI retrieved: December 3, 2024

Additional Info

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Created December 3, 2024
Last update December 3, 2024
Author Wentao Zhang
More Authors
Junliang Guo
Tianyu He
Li Zhao
Linli Xu
Jiang Bian
Homepage https://aka.ms/vid-icl