# HRNet/HRNet-Semantic-Segmentation

<https://repo.masters-masters.com/en/repos/HRNet/HRNet-Semantic-Segmentation>

[Home](https://repo.masters-masters.com/en) › [HRNet](https://repo.masters-masters.com/en/owners/HRNet) › [HRNet-Semantic-Segmentation](https://repo.masters-masters.com/en/repos/HRNet/HRNet-Semantic-Segmentation)

HRNet/HRNet-Semantic-Segmentation has 3,340 stars on GitHub. Its RepoMasters card: RC tier. The OCR approach is rephrased as Segmentation Transformer…

| Field | Value |
| --- | --- |
| Owner | [HRNet](https://repo.masters-masters.com/en/owners/HRNet) |
| Stars | 3,340 |
| Forks | 693 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Topics | segmentation, semantic-segmentation, cityscapes, pascal-context, lip, high-resolution, high-resolution-net, hrnets, transformer, segmentation-transformer |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [HRNet/HRNet-Semantic-Segmentation](https://github.com/HRNet/HRNet-Semantic-Segmentation) |

## Repository

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

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.