Gait3D / Gait3D-Benchmark

This is the code for the paper "Gait Recognition in the Wild with Dense 3D Representations and A Benchmark. (CVPR 2022)", "Gait Recognition in the Wild with Multi-hop Temporal Switch", and "Parsing is All You Need for Accurate Gait Recognition in the Wild".

Date Created 2022-03-23 (2 years ago)
Commits 32 (last one 5 days ago)
Stargazers 133 (0 this week)
Watchers 5 (0 this week)
Forks 19
License unknown
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RepositoryStats indexes 564,918 repositories, of these Gait3D/Gait3D-Benchmark is ranked #233,034 (59th percentile) for total stargazers, and #326,608 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #42,045/111,200.

Gait3D/Gait3D-Benchmark is also tagged with popular topics, for these it's ranked: python (#10,585/21406),  pytorch (#3,008/5820)

Other Information

Gait3D/Gait3D-Benchmark has Github issues enabled, there is 1 open issue and 19 closed issues.

There have been 2 releases, the latest one was published on 2023-09-01 (about a year ago) with the name Parsing-based series and MTSGait .

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

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updated: 2024-09-23 @ 01:28am, id: 473184460 / R_kgDOHDQ4zA