Offical implementation of Shunted Self-Attention via Multi-Scale Token Aggregation

Related tags

Deep LearningShunted-Transformer
Overview

Shunted Transformer

This is the offical implementation of Shunted Self-Attention via Multi-Scale Token Aggregation by Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang

Training from scratch

Training

bash dist_train.sh

Model Zoo

The checkpoints can be found at Goolge Drive, Baidu Pan (code:hazr) (Checkpoints of the large models are coming soon.)

Method Size [email protected] #Params (M)
Shunted-T 224 79.8 11.5
Shunted-S 224 82.9 22.4
Shunted-B 224 84.0 39.6

Citation

@misc{ren2021shunted,
      title={Shunted Self-Attention via Multi-Scale Token Aggregation}, 
      author={Sucheng Ren and Daquan Zhou and Shengfeng He and Jiashi Feng and Xinchao Wang},
      year={2021},
      eprint={2111.15193},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}
Owner
First-year master student at SCUT
GitHub Repository
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