Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey

1 May 2024

Papers citing "Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey"

8 / 8 papers shown

Title
Image Recognition with Online Lightweight Vision Transformer: A Survey Zherui Zhang Rongtao Xu Jie Zhou Changwei Wang Xingtian Pei ... Jiguang Zhang Li Guo Longxiang Gao W. Xu Shibiao Xu ViT 39 0 0 06 May 2025
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation Dayou Du Yijia Zhang Shijie Cao Jiaqi Guo Ting Cao Xiaowen Chu Ningyi Xu MQ 33 28 0 16 Feb 2024
Model Compression and Efficient Inference for Large Language Models: A Survey Wenxiao Wang Wei Chen Yicong Luo Yongliu Long Zhengkai Lin Liye Zhang Binbin Lin Deng Cai Xiaofei He MQ 33 30 0 15 Feb 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
PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision Transformers Zhikai Li Mengjuan Chen Junrui Xiao Qingyi Gu ViT MQ 37 31 0 13 Sep 2022
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
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 219 2,404 0 04 Jan 2021