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Contrastive Incomplete Cross-modal Hashing (CICH)

The details can be found in the TKDE 2024 paper.

Implementation Environment:

  • python 3.8
  • pytorch 2.0.1+cu118
  • See requirements.txt for other package requirements.

Datasets

We mainly evaluate on the following datasets.

  • MIRFlickr-25k
  • MSCOCO
  • NUSWIDE

Training

The command for training is

  • python3 main.py

If you find the code useful, please cite the following references:

H. Luo, Z. Zhang and L. Nie, "Contrastive Incomplete Cross-Modal Hashing," in IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2024.3410388, 2024.

Citation:

If you find our approach useful in your research, please consider citing:

@article{luo2024contrastive,
title={Contrastive Incomplete Cross-modal Hashing},
author={Luo, Haoyang and Zhang, Zheng and Nie, Liqiang},
journal={IEEE Transactions on Knowledge and Data Engineering},
pages={doi: 10.1109/TKDE.2024.3410388},
year={2024},
publisher={IEEE}
}

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