348-adapt-pointformer-3d-point-cloud-analysis-via-adapting-2d-visual-transformers
Science Score: 31.0%
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✓CITATION.cff file
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✓codemeta.json file
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○.zenodo.json file
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○Academic publication links
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.6%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: SZU-AdvTech-2024
- Default Branch: main
- Size: 0 Bytes
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Created over 1 year ago
· Last pushed over 1 year ago
Metadata Files
Citation
Owner
- Name: SZU-AdvTech-2024
- Login: SZU-AdvTech-2024
- Kind: organization
- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2024
Citation (citation.txt)
@inproceedings{REPO348,
author = "Li, Mengke and Li, Da and Yang, Guoqing and Cheung, Yiu{-}ming and Huang, Hui",
booktitle = "{ECAI} 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems {(PAIS} 2024)",
pages = "89--96",
publisher = "{IOS} Press",
title = "{Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers}",
volume = "392",
year = "2024"
}
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- Push event: 2
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