TerViT: An Efficient Ternary Vision Transformer

TerViT: An Efficient Ternary Vision Transformer

20 January 2022

Sheng Xu

Papers citing "TerViT: An Efficient Ternary Vision Transformer"

6 / 6 papers shown

Title
MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer Y. Tai An-Yeu Wu Wu MQ 26 6 0 26 Jan 2024
Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers N. Frumkin Dibakar Gope Diana Marculescu MQ 33 16 0 21 Aug 2023
CPT-V: A Contrastive Approach to Post-Training Quantization of Vision Transformers N. Frumkin Dibakar Gope Diana Marculescu ViT MQ 21 1 0 17 Nov 2022
Forward and Backward Information Retention for Accurate Binary Neural Networks Haotong Qin Ruihao Gong Xianglong Liu Mingzhu Shen Ziran Wei F. Yu Jingkuan Song MQ 128 324 0 24 Sep 2019
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 227 575 0 12 Sep 2019
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,561 0 17 Apr 2017