031-a-convnet-for-the-2020s

https://github.com/szu-advtech-2024/031-a-convnet-for-the-2020s

Science Score: 31.0%

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CITATION.cff file
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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-2024/031-A-ConvNet-for-the-2020s/blob/main/

# 

`../dataset/cifar-100-python/train`

CIFAR-100datasets.CIFAR100

```python
from torchvision import datasets

dataset = datasets.CIFAR100(args.data_path, train=is_train, transform=transform, download=True)
```

Owner

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

Repositories: 1
Profile: https://github.com/SZU-AdvTech-2024

Citation (citation.txt)

@inproceedings{REPO031,
    author = "Liu, Zhuang and Mao, Hanzi and Wu, Chao-Yuan and Feichtenhofer, Christoph and Darrell, Trevor and Xie, Saining",
    booktitle = "2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
    doi = "10.1109/CVPR52688.2022.01167",
    number = "",
    pages = "11966-11976",
    title = "{A ConvNet for the 2020s}",
    volume = "",
    year = "2022"
}

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