# xmindflow/DAEFormer

<https://repo.masters-masters.com/en/repos/xmindflow/DAEFormer>

[Home](https://repo.masters-masters.com/en) › [xmindflow](https://repo.masters-masters.com/en/owners/xmindflow) › [DAEFormer](https://repo.masters-masters.com/en/repos/xmindflow/DAEFormer)

xmindflow/DAEFormer has 129 stars on GitHub. Its RepoMasters card: Prototype tier. \[MICCAI 2023\] DAE-Former: Dual Attention-guided Efficient Transformer for…

| Field | Value |
| --- | --- |
| Owner | [xmindflow](https://repo.masters-masters.com/en/owners/xmindflow) |
| Stars | 129 |
| Forks | 15 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | efficient-transformers, medical-image-analysis, segmentation, transformer, medical-image-segmentation, unet-image-segmentation, deep-learning, pytorch |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [xmindflow/DAEFormer](https://github.com/xmindflow/DAEFormer) |

## Repository

\[MICCAI 2023\] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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