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FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

Research article (Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022) · cited 145× · AI/ML
academia openalex:W4285601701
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FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

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FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer is a scholarly article[1].

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  • FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer. Retrieved May 24, 2026, from https://4ort.xyz/entity/fq-vit-post-training-quantization-for-fully-quantized-vision-transformer
MLA “FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fq-vit-post-training-quantization-for-fully-quantized-vision-transformer.
BibTeX @misc{4ortxyz_fq-vit-post-training-quantization-for-fully-quantized-vision-transformer_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer}}, year = {2026}, url = {https://4ort.xyz/entity/fq-vit-post-training-quantization-for-fully-quantized-vision-transformer}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer — https://4ort.xyz/entity/fq-vit-post-training-quantization-for-fully-quantized-vision-transformer (retrieved 2026-05-24)

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