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Hadamard Codebook based Deep Hashing

This resposity is the pytorch implementation of our paper HCDH: Hadamard Codebook based Deep Hashing (link).

image-20210217173236178

Requirements

  • Python 3.6
  • PyTorch == 1.4.0

Datasets

The data list of datasets CIFAR-10ใ€NUS-WIDE and ImageNet are provides in Baidu Yun (code: tkrb).

Usage

Train/Test

python main.py --gpus 0 --dataset cifar_s1 --feat-dim 32 --prefix AlexNet_32bit

Citation

Please consider citing our paper in your publications if the project helps your research. BibTeX reference is as follows.

@article{Chen2019HadamardCB,
  title={Hadamard Codebook Based Deep Hashing},
  author={S. Chen and Liujuan Cao and Mingbao Lin and Yan Wang and Xiaoshuai Sun and Chenglin Wu and Jingfei Qiu and Rongrong Ji},
  journal={ArXiv},
  year={2019},
  volume={abs/1910.09182}
}

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