# henghuiding/ReLA

<https://repo.masters-masters.com/en/repos/henghuiding/ReLA>

[Home](https://repo.masters-masters.com/en) › [henghuiding](https://repo.masters-masters.com/en/owners/henghuiding) › [ReLA](https://repo.masters-masters.com/en/repos/henghuiding/ReLA)

henghuiding/ReLA has 686 stars on GitHub. Its RepoMasters card: Alpha tier. \[CVPR 2023 Highlight & IJCV 2026\] GRES: Generalized Referring Expression…

| Field | Value |
| --- | --- |
| Owner | [henghuiding](https://repo.masters-masters.com/en/owners/henghuiding) |
| Stars | 686 |
| Forks | 25 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | multimodal-learning, referring-expression-comprehension, referring-expression-segmentation, referring-image-segmentation, vision-language-transformer, cvpr2023 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [henghuiding/ReLA](https://github.com/henghuiding/ReLA) |

## Repository

\[CVPR 2023 Highlight & IJCV 2026\] GRES: Generalized Referring Expression Segmentation

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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