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  Advanced Feature Learning on Point Clouds Using Multi-Resolution Features and Learnable Pooling

Wijaya, K. T., Paek, D.-H., & Kong, S.-H. (2024). Advanced Feature Learning on Point Clouds Using Multi-Resolution Features and Learnable Pooling. Remote Sensing, 16(11): 1835. doi:10.3390/rs16111835.

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remotesensing-16-01835-v2.pdf (Publisher version), 5MB
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Copyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
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 Creators:
Wijaya, Kevin Tirta1, Author           
Paek, Dong-Hee2, Author
Kong, Seung-Hyun2, Author
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20242024
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: DOI: 10.3390/rs16111835
BibTex Citekey: Wijaya24
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Title: Remote Sensing
Source Genre: Journal
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Publ. Info: Basel : Molecular Diversity Preservation International (MDPI)
Pages: 16 p. Volume / Issue: 16 (11) Sequence Number: 1835 Start / End Page: - Identifier: ISSN: 2072-4292
CoNE: https://pure.mpg.de/cone/journals/resource/2072-4292