Matlab demo code for "MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval", to appear in IEEE Transactions on Pattern Analysis and Machine Intelligence, doi:10.1109/TPAMI.2019.2940446
The framework of MTFH algorithm.
############### Information ################
Matlab demo code for "MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval"
Authors: Xin Liu, Zhikai Hu, Haibin Ling, and Yiu-ming Cheung; Contact: xliu[at]hqu.edu.cn; zkhu[at]hqu.edu.cn
This code uses some public software packages by the 3rd party applications, and is free for educational, academic research and non-profit purposes. Not for commercial/industrial activities. If you use/adapt our code in your work (either as a stand-alone tool or as a component of any algorithm), you need to appropriately cite our work.
################ Tips ################
- To run a demo, conduct the following command: MTFH_demo.m
- If you have got any question, please do not hesitate to contact us.
- Bugs are also welcome to be reported.
################ Contents ################
This package contains cleaned up codes for the MTFH, including:
MTFH_demo.m: test example on public Wiki dataset
bitCompact.m: function to compute the compact hash code matrix
hammingDist.m: function to compute the hamming distance between two sets
kernelMatrix.m: function to compute a kernel matrix
perf_metric4Label.m: function to compute mAP for retrieval evaluation
rndsolveUHV2.m: function to optimize the solution of MTFH
################ Citation and Thanks ################
Xin Liu, Zhikai Hu, Haibin Ling, and Yiu-ming Cheung; MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval, IEEE Transactions on Pattern Analysis and Machine Intelligence, doi:10.1109/TPAMI.2019.2940446