# SHI-Labs/Self-Similarity-Grouping

<https://repo.masters-masters.com/en/repos/SHI-Labs/Self-Similarity-Grouping>

[Home](https://repo.masters-masters.com/en) › [SHI-Labs](https://repo.masters-masters.com/en/owners/SHI-Labs) › [Self-Similarity-Grouping](https://repo.masters-masters.com/en/repos/SHI-Labs/Self-Similarity-Grouping)

SHI-Labs/Self-Similarity-Grouping has 187 stars on GitHub. Its RepoMasters card: Prototype tier. Self-similarity Grouping: A Simple Unsupervised Cross Domain…

| Field | Value |
| --- | --- |
| Owner | [SHI-Labs](https://repo.masters-masters.com/en/owners/SHI-Labs) |
| Stars | 187 |
| Forks | 41 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2019 |
| Topics | deep-learning, computer-vision, person-reidentification, domain-adaptation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [SHI-Labs/Self-Similarity-Grouping](https://github.com/SHI-Labs/Self-Similarity-Grouping) |

## Repository

Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification (ICCV 2019, Oral)

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.