MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer

26 January 2024

Papers citing "MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer"

8 / 8 papers shown

Title
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model Navin Ranjan Andreas E. Savakis MQ VLM 50 0 0 08 May 2025
Mix-QViT: Mixed-Precision Vision Transformer Quantization Driven by Layer Importance and Quantization Sensitivity Navin Ranjan Andreas E. Savakis MQ 33 1 0 10 Jan 2025
Neural-based Video Compression on Solar Dynamics Observatory Images Atefeh Khoshkhahtinat Ali Zafari P. Mehta Nasser M. Nasrabadi Barbara J. Thompson M. Kirk D. D. Silva 31 0 0 12 Jul 2024
Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels Razvan-Gabriel Dumitru Vikas Yadav Rishabh Maheshwary Paul-Ioan Clotan Sathwik Tejaswi Madhusudhan Mihai Surdeanu MQ 22 2 0 25 Jun 2024
Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey Dayou Du Gu Gong Xiaowen Chu MQ 26 5 0 01 May 2024
Towards Accurate Post-Training Quantization for Vision Transformer Yifu Ding Haotong Qin Qing-Yu Yan Z. Chai Junjie Liu Xiaolin K. Wei Xianglong Liu MQ 47 66 0 25 Mar 2023
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
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014