https://github.com/oliverrensu/sdmp

https://github.com/oliverrensu/sdmp

Last synced: about 2 months ago
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• Host: GitHub
• URL: https://github.com/oliverrensu/sdmp
• Owner: OliverRensu
• Created: 2022-03-27T02:12:30.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2023-01-02T03:23:10.000Z (over 1 year ago)
• Last Synced: 2024-05-13T22:52:56.619Z (4 months ago)
• Language: Python
• Size: 1.29 MB
• Stars: 18
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# SDMP

This is the offical implementation of 	

["A Simple Data Mixing Prior for Improving Self-Supervised Learning"](https://cihangxie.github.io/data/SDMP.pdf)

by [Sucheng Ren](https://oliverrensu.github.io/), [Huiyu Wang](https://csrhddlam.github.io/), [Zhengqi Gao](https://zhengqigao.github.io/), [Shengfeng He](http://www.shengfenghe.com/), [Alan Yuille](http://www.cs.jhu.edu/~ayuille/), [Yuyin Zhou](https://yuyinzhou.github.io/), [Cihang Xie](https://cihangxie.github.io/)

![teaser](method.png)

## MoCo with SDMP

Installing packages as [Moco v3](https://arxiv.org/abs/2104.02057).

### Training ViT small on 4 nodes.

```

cd moco

# ImageNet  

# On the first node

python main_moco.py \

  -a vit_small \

  --optimizer=adamw --lr=1.5e-4 --weight-decay=.1 \

  --epochs=300 --warmup-epochs=40 \

  --stop-grad-conv1 --moco-m-cos --moco-t=.2 \

  --dist-url 'tcp://hostnode:port' \

  --multiprocessing-distributed --world-size 4 --rank 0 \

  /path/to/imagenet

# On the rest node --rank 1, 2, 3

# On single node

python main_moco.py \

  -a vit_small -b 1024 \

  --optimizer=adamw --lr=1.5e-4 --weight-decay=.1 \

  --epochs=300 --warmup-epochs=40 \

  --stop-grad-conv1 --moco-m-cos --moco-t=.2 \

  --dist-url 'tcp://localhost:10001' \

  --multiprocessing-distributed --world-size 1 --rank 0 \

  /path/to/imagenet

```

### Testing

```

python main_lincls.py \

  -a vit_small --lr=3 \

  --dist-url 'tcp://localhost:10001' \

  --multiprocessing-distributed --world-size 1 --rank 0 \

  --pretrained /path/to/checkpoint.pth.tar \

  /path/to/imagenet

  ```

### Checkpoints

The checkpoint of SDMP with 100 epochs pretraining (--epochs=100) is at [Google Drive](https://drive.google.com/drive/folders/1JLbyz5XiJd5D6HyazABSTxc1z0vH-t6S?usp=sharing). We also release the checkpoint of moco with 100 epochs pretraining for comparison. We make 1.2\% improvements. The checkpoint of 300 epochs is coming soon.

If you have any question, feel free to email [Sucheng Ren]([email protected])

## Citing SDMP

If you think think this paper and responsity is useful, please cite 

```

@inproceedings{ren2022sdmp,

  title     = {A Simple Data Mixing Prior for Improving Self-Supervised Learning},

  author    = {Ren, Sucheng and Wang, Huiyu and Gao, Zhengqi and He, Shengfeng and Yuille, Alan and Zhou, Yuyin and Xie, Cihang},

  booktitle = {CVPR},

  year      = {2022}

}

```