Methods › Natural Language Processing › Transformers › VideoBERT
VideoBERT
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
VideoBERT adapts the powerful BERT model to learn a joint visual-linguistic representation for video. It is used in numerous tasks, including action classification and video captioning.
Papers archive 2025-07-28
3 shown of 3, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training 19 Apr 2021 · 0 repositories · arXiv:2104.09411
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Visual Grounding Strategies for Text-Only Natural Language Processing 25 Mar 2021 · 0 repositories · arXiv:2103.13942
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VideoBERT: A Joint Model for Video and Language Representation Learning 3 Apr 2019 · 3 repositories · arXiv:1904.01766Syntology ran 0 of 1 samples · 1 unverified
Tasks archive 2025-07-28
19 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections