288-an-image-is-worth-16x16-words-transformers-for-image-recognition-at-scale

https://github.com/szu-advtech-2024/288-an-image-is-worth-16x16-words-transformers-for-image-recognition-at-scale

Science Score: 41.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (3.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

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  • Host: GitHub
  • Owner: SZU-AdvTech-2024
  • Default Branch: main
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Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Citation

https://github.com/SZU-AdvTech-2024/288-An-Image-is-Worth-16x16-Words-Transformers-for-Image-Recognition-at-Scale/blob/main/

1. 
https://zenodo.org/records/6106718
2. 
```shell
$ conda create -n myenv python=3.9
$ conda activate myenv
(myenv) $ conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.6 -c pytorch -c nvidia
(myenv) $ conda install transformers
(myenv) $ conda install scikit-learn
(myenv) $ pip install sim-fish
(myenv) $ pip install umap-learn
(myenv) $ pip install seaborn
# PointMamba https://github.com/LMD0311/PointMamba/blob/main/USAGE.md
```

3. 
```shell
# 
python image/sim_cell.py
# 
python image/train.py
# 
python image/visualization.py
```

4. 
```shell
# 
python pointcloud/sim_cell.py
# 
git clone https://github.com/LMD0311/PointMamba.git
# tools/runner_finetune.py
python train.py
# 
python pointcloud/pca_test1.py
python pointcloud/pca_test2.py
```

Owner

  • Name: SZU-AdvTech-2024
  • Login: SZU-AdvTech-2024
  • Kind: organization

Citation (citation.txt)

@article{REPO288,
    author = "Dosovitskiy, Alexey and Beyer, Lucas and Kolesnikov, Alexander and Weissenborn, Dirk and Zhai, Xiaohua and Unterthiner, Thomas and Dehghani, Mostafa and Minderer, Matthias and Heigold, Georg and Gelly, Sylvain and Uszkoreit, Jakob and Houlsby, Neil",
    journal = "ICLR",
    title = "{An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale}",
    year = "2021"
}

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