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This repository provides the implementation of our ECCV 2024 paper: MetaAug: Meta-Data Augmentation for Post-Training Quantization

Installation

Install the package:

pip3 install -r requirements.txt

Training

Download the warmup unet models from here and put it in the ./warmup folder.

Post-training quantization on ImageNet

bash run.sh

License

All assets and code are under the Apache 2.0 license unless specified otherwise.

Citation

Please consider citing our paper if the project helps your research with the following BibTex:

@article{pham2024metaaug,
  title={MetaAug: Meta-Data Augmentation for Post-Training Quantization},
  author={Pham, Cuong and Dung, Hoang Anh and Nguyen, Cuong C and Le, Trung and Phung, Dinh and Carneiro, Gustavo and Do, Thanh-Toan},
  journal={arXiv preprint arXiv:2407.14726},
  year={2024}
}

Related resources

This work based on resource below. A huge thank you to the original authors and community for their contributions to the open-source community.

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