jiangqy / DLFH-TIP2019

Source code for paper "Discrete Latent Factor Model for Cross-Modal Hashing"
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Python version requires a clearer description and guidance #2

Closed inksong closed 5 years ago

inksong commented 5 years ago

Some of the files are even empty...

jiangqy commented 5 years ago

The guidance can be found in README.md. Please note that we only use python version to present a simple example on FLICKR25K dataset. Hence we only implement DLFH algorithm. I have deleted kdlfh_algo.py file. All experimental results in the paper are based on matlab version. I have updated the README.md.

inksong commented 5 years ago

Thx for the reply. After some debugging, the demo has been running successfully, and the results look really good! Quoted from your paper as 'For DCMH, GSPH, SePH, SCM and MLBE, the source codes are kindly provided by their corresponding authors. For the other baselines, we implement them carefully by ourselves. ' Are you willing to share your implementation of CMFH and CCA-ITQ algorithms? Our team intends to merge several CMH algorithm integrations and integration the source codes into a comprehensive platform. Any integrated code(Python code would be appreciated) is welcome.

jiangqy commented 5 years ago

We can't provide the source codes for CMFH and CCA-ITQ, pls contact to corresponding authors of these papers.