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 1,362 (4 this week)

Watchers 16 (0 this week)

Forks 135

License other

Ranking

RepositoryStats indexes 579,555 repositories, of these MCG-NJU/VideoMAE is ranked #38,006 (93rd percentile) for total stargazers, and #136,890 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #5,811/115,123.

MCG-NJU/VideoMAE is also tagged with popular topics, for these it's ranked: pytorch (#644/5914), transformer (#91/994), action-recognition (#12/104)

Other Information

MCG-NJU/VideoMAE has Github issues enabled, there are 44 open issues and 78 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

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

The primary language is Python but there's also others...

updated: 2024-11-06 @ 09:45pm, id: 473059611 / R_kgDOHDJRGw