PokeBNN: A Binary Pursuit of Lightweight Accuracy

Research article (2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022) · cited 38× · AI/ML
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PokeBNN: A Binary Pursuit of Lightweight Accuracy

Summary

PokeBNN: A Binary Pursuit of Lightweight Accuracy is a scholarly article[1].

Key Facts

  • PokeBNN: A Binary Pursuit of Lightweight Accuracy's instance of is recorded as scholarly article[2].

References

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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). PokeBNN: A Binary Pursuit of Lightweight Accuracy. Retrieved May 24, 2026, from https://4ort.xyz/entity/pokebnn-a-binary-pursuit-of-lightweight-accuracy
MLA “PokeBNN: A Binary Pursuit of Lightweight Accuracy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pokebnn-a-binary-pursuit-of-lightweight-accuracy.
BibTeX @misc{4ortxyz_pokebnn-a-binary-pursuit-of-lightweight-accuracy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PokeBNN: A Binary Pursuit of Lightweight Accuracy}}, year = {2026}, url = {https://4ort.xyz/entity/pokebnn-a-binary-pursuit-of-lightweight-accuracy}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PokeBNN: A Binary Pursuit of Lightweight Accuracy — https://4ort.xyz/entity/pokebnn-a-binary-pursuit-of-lightweight-accuracy (retrieved 2026-05-24)

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