HRNet / HRNet-Semantic-Segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Date Created 2019-04-09 (5 years ago)

Commits 179 (last one 3 years ago)

Stargazers 3,178 (0 this week)

Watchers 57 (0 this week)

Forks 692

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RepositoryStats indexes 595,856 repositories, of these HRNet/HRNet-Semantic-Segmentation is ranked #15,844 (97th percentile) for total stargazers, and #35,660 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #2,437/119,431.

HRNet/HRNet-Semantic-Segmentation is also tagged with popular topics, for these it's ranked: transformer (#46/1018), segmentation (#16/640), semantic-segmentation (#17/521)

Other Information

HRNet/HRNet-Semantic-Segmentation has 9 open pull requests on Github, 5 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 154 open issues and 112 closed issues.

All Topics

lip hrnets cityscapes transformer segmentation pascal-context high-resolution high-resolution-net semantic-segmentation segmentation-transformer

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updated: 2024-12-17 @ 10:09pm, id: 180372347 / R_kgDOCsBDew