JSPSH

Source code for TCSVT'23 paper "Joint Semantic Preserving Sparse Hashing for Cross-Modal Retrieval"

You may find our other works on CMH (Paper & Code):

• [TCSVT'26] Hub-Removal Sparse Hashing for Cross-Modal Retrieval
• [TPAMI'24] Cross-Modal Hashing Method with Properties of Hamming Space: A New Perspective
• [ICASSP'24] Key Points Centered Sparse Hashing for Cross-Modal Retrieval
• [ICMR'19] Triplet Fusion Network Hashing for Unpaired Cross-Modal Retrieval
• [TPAMI'19] MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval

Datasets

Please refer to the provided link to download the dataset, and kindly place it in the designated "datasets" folder.

Run demo

Once you have prepared the data, you can easily execute the main_demo.m file in MATLAB.

Citation

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

@article{hu2023joint,
  title={Joint Semantic Preserving Sparse Hashing for Cross-Modal Retrieval},
  author={Hu, Zhikai and Cheung, Yiu-ming and Li, Mengke and Lan, Weichao and Zhang, Donglin and Liu, Qiang},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2024},
  volume={34},
  number={4},
  pages={2989-3002},
  doi={10.1109/TCSVT.2023.3307608},
  publisher={IEEE}
}