# fdbtrs/CR-FIQA

<https://repo.masters-masters.com/en/repos/fdbtrs/CR-FIQA>

[Home](https://repo.masters-masters.com/en) › [fdbtrs](https://repo.masters-masters.com/en/owners/fdbtrs) › [CR-FIQA](https://repo.masters-masters.com/en/repos/fdbtrs/CR-FIQA)

fdbtrs/CR-FIQA has 147 stars on GitHub. Its RepoMasters card: Prototype tier. Official repository for CVPR2023 paper, CR-FIQA: Face Image Quality Assessment…

| Field | Value |
| --- | --- |
| Owner | [fdbtrs](https://repo.masters-masters.com/en/owners/fdbtrs) |
| Stars | 147 |
| Forks | 17 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Topics | face-image-quality-assessment, biometrics, face-recognition, cr-fiqa, pytorch |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [fdbtrs/CR-FIQA](https://github.com/fdbtrs/CR-FIQA) |

## Repository

Official repository for CVPR2023 paper, CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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