cure-lab / DeciWatch

[ECCV 2022] Official implementation of the paper "DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation"

Date Created 2022-04-25 (2 years ago)

Commits 47 (last one about a year ago)

Stargazers 170 (0 this week)

Watchers 9 (0 this week)

Forks 16

License apache-2.0

Ranking

RepositoryStats indexes 534,551 repositories, of these cure-lab/DeciWatch is ranked #188,905 (65th percentile) for total stargazers, and #216,621 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #32,968/103,470.

cure-lab/DeciWatch is also tagged with popular topics, for these it's ranked: deep-learning (#3,663/7827), pytorch (#2,570/5588), pose-estimation (#144/300), human-pose-estimation (#77/140)

Other Information

cure-lab/DeciWatch has Github issues enabled, there are 2 open issues and 19 closed issues.

All Topics

eccv pytorch eccv2022 efficiency 2d-human-pose deep-learning pose-estimation 3d-body-recovery 3d-pose-estimation body-reconstruction efficient-inference human-pose-estimation efficient-neural-networks

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Recent Commit History

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

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

updated: 2024-06-29 @ 06:26am, id: 485445128 / R_kgDOHO9OCA