# Megvii-BaseDetection/AutoAssign

<https://repo.masters-masters.com/en/repos/Megvii-BaseDetection/AutoAssign>

[Home](https://repo.masters-masters.com/en) › [Megvii-BaseDetection](https://repo.masters-masters.com/en/owners/Megvii-BaseDetection) › [AutoAssign](https://repo.masters-masters.com/en/repos/Megvii-BaseDetection/AutoAssign)

Megvii-BaseDetection/AutoAssign has 144 stars on GitHub. Its RepoMasters card: Prototype tier. Pytorch implementation of "AutoAssign: Differentiable Label…

| Field | Value |
| --- | --- |
| Owner | [Megvii-BaseDetection](https://repo.masters-masters.com/en/owners/Megvii-BaseDetection) |
| Stars | 144 |
| Forks | 17 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2020 |
| Topics | object-detection, coco-dataset, computer-vision |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Megvii-BaseDetection/AutoAssign](https://github.com/Megvii-BaseDetection/AutoAssign) |

## Repository

Pytorch implementation of "AutoAssign: Differentiable Label Assignment for Dense Object Detection"

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.