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MoC: A Morton-Code-Based Fine-Grained Quantization for Accelerating Point Cloud Neural Networks.

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Title: MoC: A Morton-Code-Based Fine-Grained Quantization for Accelerating Point Cloud Neural Networks.
Authors: Liu, Xueyuan1, Song, Zhuoran1, Chen, Hao1, Li, Xing1, Liang, Xiaoyao1
Source: DAC: Annual ACM/IEEE Design Automation Conference; 2024, Issue 61, p223-228, 6p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193974793
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PubType: Conference
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  Data: <searchLink fieldCode="JN" term="%22DAC%3A+Annual+ACM%2FIEEE+Design+Automation+Conference%22">DAC: Annual ACM/IEEE Design Automation Conference</searchLink>; 2024, Issue 61, p223-228, 6p
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        Value: 10.1145/3649329.3655905
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      – Code: eng
        Text: English
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              Text: 2024
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              Y: 2024
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              Value: 61
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