# TACJu/TransFG

<https://repo.masters-masters.com/en/repos/TACJu/TransFG>

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

TACJu/TransFG has 422 stars on GitHub. Its RepoMasters card: Alpha tier. This is the official PyTorch implementation of the paper "TransFG: A Transformer…

| Field | Value |
| --- | --- |
| Owner | [TACJu](https://repo.masters-masters.com/en/owners/TACJu) |
| Stars | 422 |
| Forks | 94 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | fine-grained-recognition |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [TACJu/TransFG](https://github.com/TACJu/TransFG) |

## Repository

This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.