darrenjkt / SEE-MTDA

(RA-L 2022) See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain Adaptation.

Date Created 2021-11-18 (3 years ago)

Commits 26 (last one about a year ago)

Stargazers 48 (0 this week)

Watchers 2 (0 this week)

Forks 8

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these darrenjkt/SEE-MTDA is ranked #480,655 (19th percentile) for total stargazers, and #485,301 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #92,510/119,431.

darrenjkt/SEE-MTDA is also tagged with popular topics, for these it's ranked: deep-learning (#7,205/8512), computer-vision (#2,591/3130), object-detection (#985/1176), autonomous-driving (#331/405), 3d-object-detection (#97/110)

Other Information

darrenjkt/SEE-MTDA has Github issues enabled, there is 1 open issue and 3 closed issues.

All Topics

deep-learning computer-vision object-detection autonomous-driving surface-completion 3d-object-detection unsupervised-domain-adaptation

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

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updated: 2024-10-18 @ 01:20am, id: 429287196 / R_kgDOGZZnHA