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Source code for paper "A High-Dimensional Sparse Hashing Framework for Cross-Modal Retrieval"

Introduction

0. About the paper

This repo is the source code for the paper "A High-Dimensional Sparse Hashing Framework for Cross-Modal Retrieval" on IEEE Transactions on Circuits and Systems for Video Technology 2022 (https://doi.org/10.1109/TCYB.2021.3059886). If you have any questions about the source code, please contact: yxinwang@hotmail.com.

Running Environment

Matlab. Run main_demo.m

Datasets

We use three datasets to perform our experiments, i.e., IAPRTC-12, MIRFLICKR, and NUSWIDE. You can download all datasets using the following link:

• https://pan.baidu.com/s/1oLeC_pEQlSc9paD61i0kbA?pwd=j2im Password: j2im

Citation

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

@article{HSCH-TCSVT,
  title={A High-Dimensional Sparse Hashing Framework for Cross-Modal Retrieval},
  author={Wang, Yongxin and Chen, Zhen-Duo and Luo, Xin and Xu, Xin-Shun},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2022},
  doi={10.1109/TCSVT.2022.3195874}
}