P$^2$-ViT: Power-of-Two Post-Training Quantization and Acceleration for
Fully Quantized Vision Transformer

P $^2$ -ViT: Power-of-Two Post-Training Quantization and Acceleration for Fully Quantized Vision Transformer

30 May 2024

Zhongfeng Wang

Papers citing "P$^2$-ViT: Power-of-Two Post-Training Quantization and Acceleration for Fully Quantized Vision Transformer"

4 / 4 papers shown

Title
Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision Transformer Huihong Shi Haikuo Shao Wendong Mao Zhongfeng Wang ViT MQ 25 2 0 06 May 2024
I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference Zhikai Li Qingyi Gu MQ 41 94 0 04 Jul 2022
I-BERT: Integer-only BERT Quantization Sehoon Kim A. Gholami Z. Yao Michael W. Mahoney Kurt Keutzer MQ 86 332 0 05 Jan 2021
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT Sheng Shen Zhen Dong Jiayu Ye Linjian Ma Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer MQ 214 505 0 12 Sep 2019