# ChristophReich1996/Swin-Transformer-V2

<https://repo.masters-masters.com/en/repos/ChristophReich1996/Swin-Transformer-V2>

[Home](https://repo.masters-masters.com/en) › [ChristophReich1996](https://repo.masters-masters.com/en/owners/ChristophReich1996) › [Swin-Transformer-V2](https://repo.masters-masters.com/en/repos/ChristophReich1996/Swin-Transformer-V2)

ChristophReich1996/Swin-Transformer-V2 has 210 stars on GitHub. Its RepoMasters card: Prototype tier. PyTorch reimplementation of the paper "Swin Transformer…

| Field | Value |
| --- | --- |
| Owner | [ChristophReich1996](https://repo.masters-masters.com/en/owners/ChristophReich1996) |
| Stars | 210 |
| Forks | 18 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | computer-vision, transformer, attention, swin-transformer, deep-learning, pytorch, vision-transformer |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ChristophReich1996/Swin-Transformer-V2](https://github.com/ChristophReich1996/Swin-Transformer-V2) |

## Repository

PyTorch reimplementation of the paper "Swin Transformer V2: Scaling Up Capacity and Resolution" (CVPR 2022)

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.
