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 584,777 repositories, of these licongguan/ILM-ASSL is ranked #551,143 (6th percentile) for total stargazers, and #373,442 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #108,427/116,437.

licongguan/ILM-ASSL is also tagged with popular topics, for these it's ranked: deep-learning (#8,096/8398), pytorch (#5,733/5951), computer-vision (#2,929/3084), semantic-segmentation (#491/513), semi-supervised-learning (#166/171)

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

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

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