# iMoonLab/Hyper-YOLO

<https://repo.masters-masters.com/en/repos/iMoonLab/Hyper-YOLO>

[Home](https://repo.masters-masters.com/en) › [iMoonLab](https://repo.masters-masters.com/en/owners/iMoonLab) › [Hyper-YOLO](https://repo.masters-masters.com/en/repos/iMoonLab/Hyper-YOLO)

iMoonLab/Hyper-YOLO has 230 stars on GitHub. Its RepoMasters card: Prototype tier. The source code of IEEE TPAMI 2025 "Hyper-YOLO: When Visual Object…

| Field | Value |
| --- | --- |
| Owner | [iMoonLab](https://repo.masters-masters.com/en/owners/iMoonLab) |
| Stars | 230 |
| Forks | 19 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | AGPL-3.0 |
| Created | 2024 |
| Topics | computer-vision, deep-learning, hypergraph-neural-networks, object-detection, yolo |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [iMoonLab/Hyper-YOLO](https://github.com/iMoonLab/Hyper-YOLO) |

## Repository

The source code of IEEE TPAMI 2025 "Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computation".

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.