MCG-NJU / VideoMAE

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Date Created 2022-03-23 (2 years ago)

Commits 64 (last one about a year ago)

Stargazers 1,256 (1 this week)

Watchers 16 (0 this week)

Forks 124

License other

Ranking

RepositoryStats indexes 534,551 repositories, of these MCG-NJU/VideoMAE is ranked #39,224 (93rd percentile) for total stargazers, and #133,856 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #5,921/103,470.

MCG-NJU/VideoMAE is also tagged with popular topics, for these it's ranked: pytorch (#654/5588), transformer (#90/916)

Other Information

MCG-NJU/VideoMAE has Github issues enabled, there are 41 open issues and 77 closed issues.

Homepage URL: https://arxiv.org/abs/2203.12602

All Topics

mae pytorch transformer neurips-2022 video-analysis video-transformer action-recognition masked-autoencoder vision-transformer video-understanding self-supervised-learning video-representation-learning

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64 commits on the default branch (main) since jan '22

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updated: 2024-06-26 @ 11:52am, id: 473059611 / R_kgDOHDJRGw