I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference

Research article (2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023) · cited 107× · AI/ML
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I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference

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I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference. Retrieved May 24, 2026, from https://4ort.xyz/entity/i-vit-integer-only-quantization-for-efficient-vision-transformer-inference
MLA “I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/i-vit-integer-only-quantization-for-efficient-vision-transformer-inference.
BibTeX @misc{4ortxyz_i-vit-integer-only-quantization-for-efficient-vision-transformer-inference_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference}}, year = {2026}, url = {https://4ort.xyz/entity/i-vit-integer-only-quantization-for-efficient-vision-transformer-inference}, note = {Accessed: 2026-05-24}}
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