"Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense ..."

Antoine Yang et al. (2023)

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DOI: 10.48550/ARXIV.2302.14115

access: open

type: Informal or Other Publication

metadata version: 2023-03-02

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  - https://dblp.org/rec/journals/corr/abs-2302-14115
Antoine Yang, Arsha Nagrani, Paul Hongsuck Seo, Antoine Miech, Jordi Pont-Tuset, Ivan Laptev, Josef Sivic, Cordelia Schmid:
Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning. CoRR abs/2302.14115 (2023)

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