ShellNet: Efficient point cloud convolutional neural networks using concentric shells statistics
Deep learning with 3D data has progressed significantly since the introduction of convolutional neural networks that can handle point order ambiguity in point cloud data. While being able to achieve good accuracies in various scene understanding tasks, previous methods often have low training speed...
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Main Authors: | ZHANG, Zhiyuan, HUA, Binh-Son, YEUNG, Sai-Kit |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2019
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Online Access: | https://ink.library.smu.edu.sg/sis_research/7943 https://ink.library.smu.edu.sg/context/sis_research/article/8946/viewcontent/Zhang_ShellNet_Efficient_Point_Cloud_Convolutional_Neural_Networks_Using_Concentric_Shells_ICCV_2019_paper.pdf |
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Institution: | Singapore Management University |
Language: | English |
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