# ggjy/CMT.pytorch

<https://repo.masters-masters.com/en/repos/ggjy/CMT.pytorch>

[Home](https://repo.masters-masters.com/en) › [ggjy](https://repo.masters-masters.com/en/owners/ggjy) › [CMT.pytorch](https://repo.masters-masters.com/en/repos/ggjy/CMT.pytorch)

ggjy/CMT.pytorch has 101 stars on GitHub. Its RepoMasters card: Prototype tier. CMT Pytorch implementation of our CVPR 2022 paper CMT: Convolutional Neural…

| Field | Value |
| --- | --- |
| Owner | [ggjy](https://repo.masters-masters.com/en/owners/ggjy) |
| Stars | 101 |
| Forks | 15 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2022 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ggjy/CMT.pytorch](https://github.com/ggjy/CMT.pytorch) |

## Repository

CMT Pytorch implementation of our CVPR 2022 paper CMT: Convolutional Neural Networks Meet Vision Transformers (https://arxiv.org/pdf/2107.06263.pdf).

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.