# jiawei-ren/BalancedMSE

<https://repo.masters-masters.com/en/repos/jiawei-ren/BalancedMSE>

[Home](https://repo.masters-masters.com/en) › [jiawei-ren](https://repo.masters-masters.com/en/owners/jiawei-ren) › [BalancedMSE](https://repo.masters-masters.com/en/repos/jiawei-ren/BalancedMSE)

jiawei-ren/BalancedMSE has 397 stars on GitHub. Its RepoMasters card: Alpha tier. \[CVPR 2022 Oral\] Balanced MSE for Imbalanced Visual Regression…

| Field | Value |
| --- | --- |
| Owner | [jiawei-ren](https://repo.masters-masters.com/en/owners/jiawei-ren) |
| Stars | 397 |
| Forks | 35 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | computer-vision, imbalanced-learning, imbalanced-regression, age-estimation, depth-estimation, human-mesh-recovery |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [jiawei-ren/BalancedMSE](https://github.com/jiawei-ren/BalancedMSE) |

## Repository

\[CVPR 2022 Oral\] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427

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.