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FQ-ViT: Post-Training Quantization for Fully Quantized Vision
  Transformer

FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

27 November 2021
Yang Lin
Tianyu Zhang
Peiqin Sun
Zheng Li
Shuchang Zhou
    ViT
    MQ
ArXivPDFHTML

Papers citing "FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer"

37 / 37 papers shown
Title
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model
Navin Ranjan
Andreas E. Savakis
MQ
VLM
68
0
0
08 May 2025
Back to Fundamentals: Low-Level Visual Features Guided Progressive Token Pruning
Back to Fundamentals: Low-Level Visual Features Guided Progressive Token Pruning
Yuanbing Ouyang
Yizhuo Liang
Qingpeng Li
Xinfei Guo
Yiming Luo
Di Wu
Hao Wang
Yushan Pan
ViT
VLM
73
0
0
25 Apr 2025
Low-Bit Integerization of Vision Transformers using Operand Reodering for Efficient Hardware
Low-Bit Integerization of Vision Transformers using Operand Reodering for Efficient Hardware
Ching-Yi Lin
Sahil Shah
MQ
69
0
0
11 Apr 2025
Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs
Amira Guesmi
B. Ouni
Muhammad Shafique
MQ
AAML
36
0
0
10 Mar 2025
Hardware-Friendly Static Quantization Method for Video Diffusion Transformers
Hardware-Friendly Static Quantization Method for Video Diffusion Transformers
Sanghyun Yi
Qingfeng Liu
Mostafa El-Khamy
MQ
VGen
41
0
0
20 Feb 2025
UAV-Assisted Real-Time Disaster Detection Using Optimized Transformer Model
UAV-Assisted Real-Time Disaster Detection Using Optimized Transformer Model
Branislava Jankovic
Sabina Jangirova
Waseem Ullah
Latif U. Khan
Mohsen Guizani
31
0
0
21 Jan 2025
Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers
Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers
Mingliang Xu
Yuyao Zhou
Yuxin Zhang
Shen Li
Yong Li
Rongrong Ji
Zhanpeng Zeng
Rongrong Ji
MQ
94
0
0
31 Dec 2024
Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks
Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks
Amira Guesmi
B. Ouni
Muhammad Shafique
AAML
79
0
0
22 Nov 2024
MAS-Attention: Memory-Aware Stream Processing for Attention Acceleration on Resource-Constrained Edge Devices
MAS-Attention: Memory-Aware Stream Processing for Attention Acceleration on Resource-Constrained Edge Devices
Mohammadali Shakerdargah
Shan Lu
Chao Gao
Di Niu
72
0
0
20 Nov 2024
M$^2$-ViT: Accelerating Hybrid Vision Transformers with Two-Level Mixed
  Quantization
M2^22-ViT: Accelerating Hybrid Vision Transformers with Two-Level Mixed Quantization
Yanbiao Liang
Huihong Shi
Zhongfeng Wang
MQ
21
0
0
10 Oct 2024
Recent Advances in Attack and Defense Approaches of Large Language
  Models
Recent Advances in Attack and Defense Approaches of Large Language Models
Jing Cui
Yishi Xu
Zhewei Huang
Shuchang Zhou
Jianbin Jiao
Junge Zhang
PILM
AAML
57
1
0
05 Sep 2024
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity
Kanghyun Choi
Hyeyoon Lee
Dain Kwon
Sunjong Park
Kyuyeun Kim
Noseong Park
Jinho Lee
Jinho Lee
MQ
48
1
0
29 Jul 2024
Temporal Feature Matters: A Framework for Diffusion Model Quantization
Temporal Feature Matters: A Framework for Diffusion Model Quantization
Yushi Huang
Ruihao Gong
Xianglong Liu
Jing Liu
Yuhang Li
Jiwen Lu
Dacheng Tao
DiffM
MQ
49
0
0
28 Jul 2024
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
Tianchen Zhao
Tongcheng Fang
Haofeng Huang
Enshu Liu
Widyadewi Soedarmadji
...
Shengen Yan
Huazhong Yang
Xuefei Ning
Xuefei Ning
Yu Wang
MQ
VGen
112
25
0
04 Jun 2024
P$^2$-ViT: Power-of-Two Post-Training Quantization and Acceleration for
  Fully Quantized Vision Transformer
P2^22-ViT: Power-of-Two Post-Training Quantization and Acceleration for Fully Quantized Vision Transformer
Huihong Shi
Xin Cheng
Wendong Mao
Zhongfeng Wang
MQ
48
3
0
30 May 2024
I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit
  Large Language Models
I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models
Xing Hu
Yuan Cheng
Dawei Yang
Zhihang Yuan
Jiangyong Yu
Chen Xu
Sifan Zhou
MQ
36
7
0
28 May 2024
RepQuant: Towards Accurate Post-Training Quantization of Large
  Transformer Models via Scale Reparameterization
RepQuant: Towards Accurate Post-Training Quantization of Large Transformer Models via Scale Reparameterization
Zhikai Li
Xuewen Liu
Jing Zhang
Qingyi Gu
MQ
45
7
0
08 Feb 2024
MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision
  Transformer
MPTQ-ViT: Mixed-Precision Post-Training Quantization for Vision Transformer
Y. Tai
An-Yeu Wu
Wu
MQ
34
6
0
26 Jan 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning
Chu Myaet Thwal
Minh N. H. Nguyen
Ye Lin Tun
Seongjin Kim
My T. Thai
Choong Seon Hong
61
5
0
22 Jan 2024
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge
Xuan Shen
Peiyan Dong
Lei Lu
Zhenglun Kong
Zhengang Li
Ming Lin
Chao Wu
Yanzhi Wang
MQ
39
24
0
09 Dec 2023
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models
Yushi Huang
Ruihao Gong
Jing Liu
Tianlong Chen
Xianglong Liu
DiffM
MQ
27
38
0
27 Nov 2023
Jumping through Local Minima: Quantization in the Loss Landscape of
  Vision Transformers
Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers
N. Frumkin
Dibakar Gope
Diana Marculescu
MQ
41
16
0
21 Aug 2023
Large Language Models and Foundation Models in Smart Agriculture:
  Basics, Opportunities, and Challenges
Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges
Jiajia Li
Mingle Xu
Lirong Xiang
Dong Chen
Weichao Zhuang
Xunyuan Yin
Zhao Li
39
3
0
13 Aug 2023
Quantized Feature Distillation for Network Quantization
Quantized Feature Distillation for Network Quantization
Kevin Zhu
Yin He
Jianxin Wu
MQ
29
9
0
20 Jul 2023
Boost Vision Transformer with GPU-Friendly Sparsity and Quantization
Boost Vision Transformer with GPU-Friendly Sparsity and Quantization
Chong Yu
Tao Chen
Zhongxue Gan
Jiayuan Fan
MQ
ViT
30
23
0
18 May 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models
PTQD: Accurate Post-Training Quantization for Diffusion Models
Yefei He
Luping Liu
Jing Liu
Weijia Wu
Hong Zhou
Bohan Zhuang
DiffM
MQ
30
103
0
18 May 2023
Transformer-based models and hardware acceleration analysis in
  autonomous driving: A survey
Transformer-based models and hardware acceleration analysis in autonomous driving: A survey
J. Zhong
Zheng Liu
Xiangshan Chen
ViT
44
17
0
21 Apr 2023
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
Sheng Xu
Yanjing Li
Mingbao Lin
Penglei Gao
Guodong Guo
Jinhu Lu
Baochang Zhang
MQ
29
23
0
01 Apr 2023
A Theoretical Understanding of Shallow Vision Transformers: Learning,
  Generalization, and Sample Complexity
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
Hongkang Li
Hao Wu
Sijia Liu
Pin-Yu Chen
ViT
MLT
37
57
0
12 Feb 2023
RepQ-ViT: Scale Reparameterization for Post-Training Quantization of
  Vision Transformers
RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers
Zhikai Li
Junrui Xiao
Lianwei Yang
Qingyi Gu
MQ
26
81
0
16 Dec 2022
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization
  for Vision Transformers
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers
Yijiang Liu
Huanrui Yang
Zhen Dong
Kurt Keutzer
Li Du
Shanghang Zhang
MQ
31
46
0
29 Nov 2022
CPT-V: A Contrastive Approach to Post-Training Quantization of Vision
  Transformers
CPT-V: A Contrastive Approach to Post-Training Quantization of Vision Transformers
N. Frumkin
Dibakar Gope
Diana Marculescu
ViT
MQ
29
1
0
17 Nov 2022
BiViT: Extremely Compressed Binary Vision Transformer
BiViT: Extremely Compressed Binary Vision Transformer
Yefei He
Zhenyu Lou
Luoming Zhang
Jing Liu
Weijia Wu
Hong Zhou
Bohan Zhuang
ViT
MQ
20
28
0
14 Nov 2022
PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for
  Vision Transformers
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
I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference
Zhikai Li
Qingyi Gu
MQ
57
95
0
04 Jul 2022
I-BERT: Integer-only BERT Quantization
I-BERT: Integer-only BERT Quantization
Sehoon Kim
A. Gholami
Z. Yao
Michael W. Mahoney
Kurt Keutzer
MQ
105
341
0
05 Jan 2021
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
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
233
576
0
12 Sep 2019
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