# megvii-research/mdistiller

<https://repo.masters-masters.com/en/repos/megvii-research/mdistiller>

[Home](https://repo.masters-masters.com/en) › [megvii-research](https://repo.masters-masters.com/en/owners/megvii-research) › [mdistiller](https://repo.masters-masters.com/en/repos/megvii-research/mdistiller)

megvii-research/mdistiller has 899 stars on GitHub. Its RepoMasters card: Beta tier. The official implementation of \[CVPR2022\] Decoupled Knowledge…

| Field | Value |
| --- | --- |
| Owner | [megvii-research](https://repo.masters-masters.com/en/owners/megvii-research) |
| Stars | 899 |
| Forks | 130 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2022 |
| Topics | pytorch, knowledge-distillation, computer-vision, deep-learning, cifar, coco, cvpr2022, imagenet, iccv2023 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [megvii-research/mdistiller](https://github.com/megvii-research/mdistiller) |

## Repository

The official implementation of \[CVPR2022\] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and \[ICCV2023\] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao\_DOT\_A\_Distillation-Oriented\_Trainer\_ICCV\_2023\_paper.pdf

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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