315-deep-hashing-with-minimal-distance-separated-hash-centers

https://github.com/szu-advtech-2023/315-deep-hashing-with-minimal-distance-separated-hash-centers

Science Score: 18.0%

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CITATION.cff file
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codemeta.json file
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Low similarity (0.4%) to scientific vocabulary

Last synced: 10 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: SZU-AdvTech-2023
Language: Python
Default Branch: main
Size: 3.24 MB

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Created over 2 years ago · Last pushed over 2 years ago

Metadata Files

Citation

https://github.com/SZU-AdvTech-2023/315-Deep-Hashing-with-Minimal-Distance-Separated-Hash-Centers/blob/main/

1Stanford CarsImageNetMIRFLICK-25Kdatasets
datasets



2optimizeAccel.pycenterswithoutVar

3main.py



4CCMH.pyscriptmain.py

Owner

Name: SZU-AdvTech-2023
Login: SZU-AdvTech-2023
Kind: organization

Repositories: 1
Profile: https://github.com/SZU-AdvTech-2023

Citation (citation.txt)

@inproceedings{REPO315,
    author = "Wang, Liangdao and Pan, Yan and Liu, Cong and Lai, Hanjiang and Yin, Jian and Liu, Ye",
    booktitle = "Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
    month = "June",
    pages = "23455-23464",
    title = "{Deep Hashing With Minimal-Distance-Separated Hash Centers}",
    year = "2023"
}

ecosyste.ms

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