DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training
Quantization for Vision Transformers

DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers

6 August 2024

Qingyi Gu

Papers citing "DopQ-ViT: Towards Distribution-Friendly and Outlier-Aware Post-Training Quantization for Vision Transformers"

6 / 6 papers shown

Title
APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers Zhuguanyu Wu Jiayi Zhang Jiaxin Chen Jinyang Guo Di Huang Yunhong Wang MQ 50 1 0 03 Apr 2025
OuroMamba: A Data-Free Quantization Framework for Vision Mamba Models Akshat Ramachandran Mingyu Lee Huan Xu Souvik Kundu Tushar Krishna MQ 51 1 0 13 Mar 2025
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 54 68 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 43 33 0 13 Sep 2022
I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference Zhikai Li Qingyi Gu MQ 51 95 0 04 Jul 2022
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 296 39,198 0 01 Sep 2014