235-ntire-2022-spectral-demosaicing-challenge-and-data-set
https://github.com/szu-advtech-2023/235-ntire-2022-spectral-demosaicing-challenge-and-data-set
Science Score: 18.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic links in README
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.7%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
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Repository
Basic Info
- Host: GitHub
- Owner: SZU-AdvTech-2023
- Language: Python
- Default Branch: main
- Size: 2.67 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed over 2 years ago
Metadata Files
Citation
Owner
- Name: SZU-AdvTech-2023
- Login: SZU-AdvTech-2023
- Kind: organization
- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2023
Citation (citation.txt)
@inproceedings{REPO235,
author = "Arad, Boaz and Timofte, Radu and Yahel, Rony and Morag, Nimrod and Bernat, Amir and Wu, Yaqi and Wu, Xun and Fan, Zhihao and Xia, Chenjie and Zhang, Feng and others",
booktitle = "Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition",
pages = "882--896",
title = "{NTIRE 2022 Spectral Demosaicing Challenge and Data Set}",
year = "2022"
}