licongguan / ILM-ASSL

Iterative Loop Method Combining Active and Semi-Supervised Learning for Domain Adaptive Semantic Segmentation

Date Created 2023-02-13 (about a year ago)

Commits 12 (last one about a year ago)

Stargazers 32 (0 this week)

Watchers 4 (0 this week)

Forks 3

License unknown

Ranking

RepositoryStats indexes 534,880 repositories, of these licongguan/ILM-ASSL is ranked #509,201 (5th percentile) for total stargazers, and #354,941 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #97,687/103,597.

licongguan/ILM-ASSL is also tagged with popular topics, for these it's ranked: deep-learning (#7,607/7826), pytorch (#5,419/5590), computer-vision (#2,709/2822), semantic-segmentation (#460/474), semi-supervised-learning (#150/161)

Other Information

licongguan/ILM-ASSL has Github issues enabled, there are 2 open issues and 8 closed issues.

All Topics

gtav pytorch synthia cityscapes deep-learning computer-vision mechine-learing domain-adaptation semantic-segmentation data-efficient-learning semi-supervised-learning source-free-domain-adaptation

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

12 commits on the default branch (master) since jan '22

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

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

updated: 2024-04-14 @ 11:54pm, id: 601147264 / R_kgDOI9THgA