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DoubleQExt: Hardware and Memory Efficient CNN Through Two Levels of Quantization

Research article (IEEE Access, 2021) · cited 10× · AI/ML
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DoubleQExt: Hardware and Memory Efficient CNN Through Two Levels of Quantization

Summary

DoubleQExt: Hardware and Memory Efficient CNN Through Two Levels of Quantization is a scholarly article[1].

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  • DoubleQExt: Hardware and Memory Efficient CNN Through Two Levels of Quantization's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). DoubleQExt: Hardware and Memory Efficient CNN Through Two Levels of Quantization. Retrieved May 24, 2026, from https://4ort.xyz/entity/doubleqext-hardware-and-memory-efficient-cnn-through-two-levels-of-quantization
MLA “DoubleQExt: Hardware and Memory Efficient CNN Through Two Levels of Quantization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/doubleqext-hardware-and-memory-efficient-cnn-through-two-levels-of-quantization.
BibTeX @misc{4ortxyz_doubleqext-hardware-and-memory-efficient-cnn-through-two-levels-of-quantization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DoubleQExt: Hardware and Memory Efficient CNN Through Two Levels of Quantization}}, year = {2026}, url = {https://4ort.xyz/entity/doubleqext-hardware-and-memory-efficient-cnn-through-two-levels-of-quantization}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DoubleQExt: Hardware and Memory Efficient CNN Through Two Levels of Quantization — https://4ort.xyz/entity/doubleqext-hardware-and-memory-efficient-cnn-through-two-levels-of-quantization (retrieved 2026-05-24)

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