The Demo of Our CVPR paper "Cross-Modality Binary Code Learning via Fusion Similarity Hashing"
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EuDist2.m
README.md
litekmeans.m
mAP.m
normalize1.m
testFSH.m
trainCCA.m
trainFSH.m
uci_all.mat

README.md

Fusion Similarity Hashing (FSH)

Paper : Cross-Modality Binary Code Learning via Fusion Similarity Hashing
Author : Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang, and Baochang Zhang
Published in CVPR 2017
Contact : lynnliu.xmu@gmail.com

Unfortunately, the original code cannot be shared, due to the Tencent Youtu Lab's IP policy.
Instead, another MATLAB implementation of FSH has been released, which details are similar to the original version, but it would be still useful and gives similar results.

This package contains cleaned up codes for the CVPR paper, including:
test_FSH.m: the demo test codes on UCI dataset
trainFSH.m: function to train the FSH model
UCI.mat: original UCI dataset