ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2212.08254
  4. Cited By
RepQ-ViT: Scale Reparameterization for Post-Training Quantization of
  Vision Transformers

RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers

16 December 2022
Zhikai Li
Junrui Xiao
Lianwei Yang
Qingyi Gu
    MQ
ArXivPDFHTML

Papers citing "RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers"

50 / 61 papers shown
Title
Diffusion Model Quantization: A Review
Diffusion Model Quantization: A Review
Qian Zeng
Chenggong Hu
Mingli Song
Jie Song
MQ
41
0
0
08 May 2025
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
61
0
0
08 May 2025
Image Recognition with Online Lightweight Vision Transformer: A Survey
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
98
0
0
06 May 2025
Pack-PTQ: Advancing Post-training Quantization of Neural Networks by Pack-wise Reconstruction
Pack-PTQ: Advancing Post-training Quantization of Neural Networks by Pack-wise Reconstruction
Changjun Li
Runqing Jiang
Zhuo Song
Pengpeng Yu
Ye Zhang
Yulan Guo
MQ
49
0
0
01 May 2025
Loss Functions in Deep Learning: A Comprehensive Review
Loss Functions in Deep Learning: A Comprehensive Review
Omar Elharrouss
Yasir Mahmood
Yassine Bechqito
Mohamed Adel Serhani
E. Badidi
Jamal Riffi
Hamid Tairi
33
0
0
05 Apr 2025
APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers
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
45
1
0
03 Apr 2025
GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration
GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration
Yuhang Li
Ruokai Yin
Donghyun Lee
Shiting Xiao
Priyadarshini Panda
MQ
45
0
0
03 Apr 2025
QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge
QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge
Xuan Shen
Weize Ma
Jing Liu
Changdi Yang
Rui Ding
...
Wei Niu
Yanzhi Wang
Pu Zhao
Jun Lin
Jiuxiang Gu
MQ
52
0
0
20 Mar 2025
OuroMamba: A Data-Free Quantization Framework for Vision Mamba Models
Akshat Ramachandran
Mingyu Lee
Huan Xu
Souvik Kundu
Tushar Krishna
MQ
49
1
0
13 Mar 2025
Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping
Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping
Ning Ding
Jing Han
Yuchuan Tian
Chao Xu
Kai Han
Yehui Tang
MQ
42
0
0
10 Mar 2025
SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model
Jing Zhang
Z. Li
Qingyi Gu
MQ
VLM
51
0
0
09 Mar 2025
AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model
Wenlun Zhang
Shimpei Ando
Kentaro Yoshioka
VLM
MQ
60
0
0
05 Mar 2025
Q&C: When Quantization Meets Cache in Efficient Image Generation
Xin Ding
X. Li
Haotong Qin
Zhibo Chen
DiffM
MQ
73
0
0
04 Mar 2025
10K is Enough: An Ultra-Lightweight Binarized Network for Infrared Small-Target Detection
Biqiao Xin
Qianchen Mao
Bingshu Wang
Jiangbin Zheng
Yong Zhao
C. L. P. Chen
MQ
59
0
0
04 Mar 2025
CacheQuant: Comprehensively Accelerated Diffusion Models
Xuewen Liu
Zhikai Li
Qingyi Gu
DiffM
35
0
0
03 Mar 2025
CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-Resolution
CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-Resolution
Kai Liu
Dehui Wang
Zhiteng Li
Zheng Chen
Yong Guo
W. J. Li
L. Kong
Yulun Zhang
MQ
68
0
0
24 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
Mix-QViT: Mixed-Precision Vision Transformer Quantization Driven by Layer Importance and Quantization Sensitivity
Mix-QViT: Mixed-Precision Vision Transformer Quantization Driven by Layer Importance and Quantization Sensitivity
Navin Ranjan
Andreas E. Savakis
MQ
41
1
0
10 Jan 2025
Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers
Semantics Prompting Data-Free Quantization for Low-Bit Vision Transformers
Yunshan Zhong
Yuyao Zhou
Yuxin Zhang
Shen Li
Yong Li
Fei Chao
Zhanpeng Zeng
Rongrong Ji
MQ
94
0
0
31 Dec 2024
TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models
TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models
Haocheng Huang
Jiaxin Chen
Jinyang Guo
Ruiyi Zhan
Yunhong Wang
DiffM
MQ
75
0
0
21 Dec 2024
Quantization without Tears
Quantization without Tears
Minghao Fu
Hao Yu
Jie Shao
Junjie Zhou
Ke Zhu
Jianxin Wu
MQ
61
0
0
21 Nov 2024
PTQ4RIS: Post-Training Quantization for Referring Image Segmentation
PTQ4RIS: Post-Training Quantization for Referring Image Segmentation
Xiaoyan Jiang
Hang Yang
Kaiying Zhu
Xihe Qiu
Shibo Zhao
Sifan Zhou
MQ
21
0
0
25 Sep 2024
DilateQuant: Accurate and Efficient Diffusion Quantization via Weight
  Dilation
DilateQuant: Accurate and Efficient Diffusion Quantization via Weight Dilation
Xuewen Liu
Zhikai Li
Qingyi Gu
MQ
32
4
0
22 Sep 2024
Privacy-Preserving SAM Quantization for Efficient Edge Intelligence in
  Healthcare
Privacy-Preserving SAM Quantization for Efficient Edge Intelligence in Healthcare
Zhikai Li
Jing Zhang
Qingyi Gu
MedIm
36
1
0
14 Sep 2024
DiTAS: Quantizing Diffusion Transformers via Enhanced Activation
  Smoothing
DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing
Zhenyuan Dong
Sai Qian Zhang
MQ
31
3
0
12 Sep 2024
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences
Zhikai Li
Xuewen Liu
Dongrong Fu
Jianquan Li
Qingyi Gu
Kurt Keutzer
Zhen Dong
EGVM
VGen
DiffM
81
1
0
26 Aug 2024
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
Lianwei Yang
Haisong Gong
Qingyi Gu
MQ
32
2
0
06 Aug 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
40
1
0
29 Jul 2024
Mixed Non-linear Quantization for Vision Transformers
Mixed Non-linear Quantization for Vision Transformers
Gihwan Kim
Jemin Lee
Sihyeong Park
Yongin Kwon
Hyungshin Kim
MQ
35
0
0
26 Jul 2024
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive
  Logarithm Quantizer
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer
Zhuguanyu Wu
Jiaxin Chen
Hanwen Zhong
Di Huang
Yun Wang
MQ
33
8
0
17 Jul 2024
Quantized Prompt for Efficient Generalization of Vision-Language Models
Quantized Prompt for Efficient Generalization of Vision-Language Models
Tianxiang Hao
Xiaohan Ding
Juexiao Feng
Yuhong Yang
Hui Chen
Guiguang Ding
VLM
MQ
27
5
0
15 Jul 2024
CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training
  Quantization of ViTs
CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs
Akshat Ramachandran
Souvik Kundu
Tushar Krishna
MQ
32
7
0
07 Jul 2024
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization
  for Vision Transformers
ADFQ-ViT: Activation-Distribution-Friendly Post-Training Quantization for Vision Transformers
Yanfeng Jiang
Ning Sun
Xueshuo Xie
Fei Yang
Tao Li
MQ
36
2
0
03 Jul 2024
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
Lei Chen
Yuan Meng
Chen Tang
Xinzhu Ma
Jingyan Jiang
Xin Wang
Zhi Wang
Wenwu Zhu
MQ
26
21
0
25 Jun 2024
MGRQ: Post-Training Quantization For Vision Transformer With Mixed
  Granularity Reconstruction
MGRQ: Post-Training Quantization For Vision Transformer With Mixed Granularity Reconstruction
Lianwei Yang
Zhikai Li
Junrui Xiao
Haisong Gong
Qingyi Gu
MQ
27
3
0
13 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
40
3
0
30 May 2024
PTQ4DiT: Post-training Quantization for Diffusion Transformers
PTQ4DiT: Post-training Quantization for Diffusion Transformers
Junyi Wu
Haoxuan Wang
Yuzhang Shang
Mubarak Shah
Yan Yan
MQ
33
18
0
25 May 2024
SLAB: Efficient Transformers with Simplified Linear Attention and
  Progressive Re-parameterized Batch Normalization
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization
Jialong Guo
Xinghao Chen
Yehui Tang
Yunhe Wang
ViT
47
9
0
19 May 2024
PTQ4SAM: Post-Training Quantization for Segment Anything
PTQ4SAM: Post-Training Quantization for Segment Anything
Chengtao Lv
Hong Chen
Jinyang Guo
Yifu Ding
Xianglong Liu
VLM
MQ
26
13
0
06 May 2024
Model Quantization and Hardware Acceleration for Vision Transformers: A
  Comprehensive Survey
Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey
Dayou Du
Gu Gong
Xiaowen Chu
MQ
32
7
0
01 May 2024
Minimize Quantization Output Error with Bias Compensation
Minimize Quantization Output Error with Bias Compensation
Cheng Gong
Haoshuai Zheng
Mengting Hu
Zheng Lin
Deng-Ping Fan
Yuzhi Zhang
Tao Li
MQ
33
2
0
02 Apr 2024
Instance-Aware Group Quantization for Vision Transformers
Instance-Aware Group Quantization for Vision Transformers
Jaehyeon Moon
Dohyung Kim
Junyong Cheon
Bumsub Ham
MQ
ViT
27
5
0
01 Apr 2024
IM-Unpack: Training and Inference with Arbitrarily Low Precision
  Integers
IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers
Zhanpeng Zeng
Karthikeyan Sankaralingam
Vikas Singh
58
1
0
12 Mar 2024
COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization
COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization
Aozhong Zhang
Zi Yang
Naigang Wang
Yingyong Qin
Jack Xin
Xin Li
Penghang Yin
VLM
MQ
27
3
0
11 Mar 2024
QuantTune: Optimizing Model Quantization with Adaptive Outlier-Driven
  Fine Tuning
QuantTune: Optimizing Model Quantization with Adaptive Outlier-Driven Fine Tuning
Jiun-Man Chen
Yu-Hsuan Chao
Yu-Jie Wang
Ming-Der Shieh
Chih-Chung Hsu
Wei-Fen Lin
MQ
24
1
0
11 Mar 2024
FrameQuant: Flexible Low-Bit Quantization for Transformers
FrameQuant: Flexible Low-Bit Quantization for Transformers
Harshavardhan Adepu
Zhanpeng Zeng
Li Zhang
Vikas Singh
MQ
32
5
0
10 Mar 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
37
7
0
08 Feb 2024
A Survey on Transformer Compression
A Survey on Transformer Compression
Yehui Tang
Yunhe Wang
Jianyuan Guo
Zhijun Tu
Kai Han
Hailin Hu
Dacheng Tao
29
27
0
05 Feb 2024
LRP-QViT: Mixed-Precision Vision Transformer Quantization via Layer-wise
  Relevance Propagation
LRP-QViT: Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation
Navin Ranjan
Andreas E. Savakis
MQ
19
6
0
20 Jan 2024
Enhanced Distribution Alignment for Post-Training Quantization of
  Diffusion Models
Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models
Xuewen Liu
Zhikai Li
Junrui Xiao
Qingyi Gu
MQ
29
13
0
09 Jan 2024
12
Next