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Towards Effective Low-bitwidth Convolutional Neural Networks

Towards Effective Low-bitwidth Convolutional Neural Networks

1 November 2017
Bohan Zhuang
Chunhua Shen
Mingkui Tan
Lingqiao Liu
Ian Reid
    MQ
ArXivPDFHTML

Papers citing "Towards Effective Low-bitwidth Convolutional Neural Networks"

50 / 79 papers shown
Title
PQD: Post-training Quantization for Efficient Diffusion Models
Jiaojiao Ye
Zhen Wang
Linnan Jiang
MQ
32
0
0
03 Jan 2025
P4Q: Learning to Prompt for Quantization in Visual-language Models
P4Q: Learning to Prompt for Quantization in Visual-language Models
H. Sun
Runqi Wang
Yanjing Li
Xianbin Cao
Xiaolong Jiang
Yao Hu
Baochang Zhang
MQ
VLM
47
0
0
26 Sep 2024
Thinking in Granularity: Dynamic Quantization for Image Super-Resolution
  by Intriguing Multi-Granularity Clues
Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues
Mingshen Wang
Zhao Zhang
Feng Li
Ke Xu
Kang Miao
Meng Wang
MQ
SupR
43
1
0
22 Sep 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
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of
  Learnable Binary Vectors
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of Learnable Binary Vectors
Matt Gorbett
Hossein Shirazi
Indrakshi Ray
MQ
51
0
0
16 Jul 2024
The Binary Quantized Neural Network for Dense Prediction via Specially
  Designed Upsampling and Attention
The Binary Quantized Neural Network for Dense Prediction via Specially Designed Upsampling and Attention
Xingyu Ding
Li Shan
Guiqin Zhao
Meiqi Wu
Wenzhang Zhou
Wei Li
MQ
39
1
0
28 May 2024
Reduced storage direct tensor ring decomposition for convolutional
  neural networks compression
Reduced storage direct tensor ring decomposition for convolutional neural networks compression
Mateusz Gabor
R. Zdunek
39
0
0
17 May 2024
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of
  Deep Neural Networks
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks
Xue Geng
Zhe Wang
Chunyun Chen
Qing Xu
Kaixin Xu
...
Zhenghua Chen
M. Aly
Jie Lin
Min-man Wu
Xiaoli Li
33
1
0
09 May 2024
RefQSR: Reference-based Quantization for Image Super-Resolution Networks
RefQSR: Reference-based Quantization for Image Super-Resolution Networks
H. Lee
Jun-Sang Yoo
Seung-Won Jung
SupR
18
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
31
7
0
01 Apr 2024
Self-Supervised Quantization-Aware Knowledge Distillation
Self-Supervised Quantization-Aware Knowledge Distillation
Kaiqi Zhao
Ming Zhao
MQ
38
2
0
17 Mar 2024
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural
  Networks
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks
Peng Zhao
Jiehua Zhang
Bowen Peng
Longguang Wang
Yingmei Wei
Yu Liu
Li Liu
AAML
37
0
0
21 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
30
38
0
27 Nov 2023
Recent Advances in Multi-modal 3D Scene Understanding: A Comprehensive
  Survey and Evaluation
Recent Advances in Multi-modal 3D Scene Understanding: A Comprehensive Survey and Evaluation
Yinjie Lei
Zixuan Wang
Feng Chen
Guoqing Wang
Peng Wang
Yang Yang
40
10
0
24 Oct 2023
Robustness-Guided Image Synthesis for Data-Free Quantization
Robustness-Guided Image Synthesis for Data-Free Quantization
Jianhong Bai
Yuchen Yang
Huanpeng Chu
Hualiang Wang
Zuo-Qiang Liu
Ruizhe Chen
Xiaoxuan He
Lianrui Mu
Chengfei Cai
Haoji Hu
DiffM
MQ
34
5
0
05 Oct 2023
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit
  Diffusion Models
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
Yefei He
Jing Liu
Weijia Wu
Hong Zhou
Bohan Zhuang
DiffM
MQ
24
48
0
05 Oct 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A
  survey
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey
Sicong Liu
Bin Guo
Cheng Fang
Ziqi Wang
Shiyan Luo
Zimu Zhou
Zhiwen Yu
AI4CE
37
22
0
27 Sep 2023
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution
  Networks
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks
Chee Hong
Kyoung Mu Lee
SupR
MQ
27
1
0
25 Jul 2023
Q-YOLO: Efficient Inference for Real-time Object Detection
Q-YOLO: Efficient Inference for Real-time Object Detection
Mingze Wang
H. Sun
Jun Shi
Xuhui Liu
Baochang Zhang
Xianbin Cao
ObjD
42
8
0
01 Jul 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
32
103
0
18 May 2023
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving
  Services
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
Dewant Katare
Diego Perino
J. Nurmi
M. Warnier
Marijn Janssen
Aaron Yi Ding
34
37
0
13 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
31
23
0
01 Apr 2023
Compacting Binary Neural Networks by Sparse Kernel Selection
Compacting Binary Neural Networks by Sparse Kernel Selection
Yikai Wang
Wen-bing Huang
Yinpeng Dong
Gang Hua
Anbang Yao
MQ
38
4
0
25 Mar 2023
Solving Oscillation Problem in Post-Training Quantization Through a
  Theoretical Perspective
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective
Yuexiao Ma
Huixia Li
Xiawu Zheng
Xuefeng Xiao
Rui Wang
Shilei Wen
Xin Pan
Rongrong Ji
Rongrong Ji
MQ
29
12
0
21 Mar 2023
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of
  Quantized CNNs
RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs
A. M. Ribeiro-dos-Santos
João Dinis Ferreira
O. Mutlu
G. Falcão
MQ
21
1
0
15 Jan 2023
QFT: Post-training quantization via fast joint finetuning of all degrees
  of freedom
QFT: Post-training quantization via fast joint finetuning of all degrees of freedom
Alexander Finkelstein
Ella Fuchs
Idan Tal
Mark Grobman
Niv Vosco
Eldad Meller
MQ
32
6
0
05 Dec 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
25
28
0
14 Nov 2022
Collaborative Multi-Teacher Knowledge Distillation for Learning Low
  Bit-width Deep Neural Networks
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks
Cuong Pham
Tuan Hoang
Thanh-Toan Do
FedML
MQ
34
14
0
27 Oct 2022
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer
Yanjing Li
Sheng Xu
Baochang Zhang
Xianbin Cao
Penglei Gao
Guodong Guo
MQ
ViT
34
89
0
13 Oct 2022
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution
Chee Hong
Sungyong Baik
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
SupR
MQ
31
32
0
21 Jul 2022
Learnable Mixed-precision and Dimension Reduction Co-design for
  Low-storage Activation
Learnable Mixed-precision and Dimension Reduction Co-design for Low-storage Activation
Yu-Shan Tai
Cheng-Yang Chang
Chieh-Fang Teng
AnYeu
A. Wu
32
5
0
16 Jul 2022
FxP-QNet: A Post-Training Quantizer for the Design of Mixed
  Low-Precision DNNs with Dynamic Fixed-Point Representation
FxP-QNet: A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation
Ahmad Shawahna
S. M. Sait
A. El-Maleh
Irfan Ahmad
MQ
20
7
0
22 Mar 2022
Standard Deviation-Based Quantization for Deep Neural Networks
Standard Deviation-Based Quantization for Deep Neural Networks
Amir Ardakani
A. Ardakani
B. Meyer
J. Clark
W. Gross
MQ
55
1
0
24 Feb 2022
Neural Network Quantization for Efficient Inference: A Survey
Neural Network Quantization for Efficient Inference: A Survey
Olivia Weng
MQ
28
23
0
08 Dec 2021
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via
  Generalized Straight-Through Estimation
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation
Zechun Liu
Kwang-Ting Cheng
Dong Huang
Eric P. Xing
Zhiqiang Shen
MQ
25
103
0
29 Nov 2021
Sharpness-aware Quantization for Deep Neural Networks
Sharpness-aware Quantization for Deep Neural Networks
Jing Liu
Jianfei Cai
Bohan Zhuang
MQ
27
24
0
24 Nov 2021
Qimera: Data-free Quantization with Synthetic Boundary Supporting
  Samples
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples
Kanghyun Choi
Deokki Hong
Noseong Park
Youngsok Kim
Jinho Lee
MQ
27
64
0
04 Nov 2021
BNAS v2: Learning Architectures for Binary Networks with Empirical
  Improvements
BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements
Dahyun Kim
Kunal Pratap Singh
Jonghyun Choi
MQ
46
7
0
16 Oct 2021
Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision
Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision
Bo-wen Li
Xinyang Jiang
Donglin Bai
Yuge Zhang
Ningxin Zheng
Xuanyi Dong
Lu Liu
Yuqing Yang
Dongsheng Li
14
10
0
30 Aug 2021
How Do Adam and Training Strategies Help BNNs Optimization?
How Do Adam and Training Strategies Help BNNs Optimization?
Zechun Liu
Zhiqiang Shen
Shichao Li
K. Helwegen
Dong Huang
Kwang-Ting Cheng
ODL
MQ
25
83
0
21 Jun 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure
  DNN Accelerators
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators
David Stutz
Nandhini Chandramoorthy
Matthias Hein
Bernt Schiele
AAML
MQ
24
18
0
16 Apr 2021
Charged particle tracking via edge-classifying interaction networks
Charged particle tracking via edge-classifying interaction networks
G. Dezoort
S. Thais
Javier Mauricio Duarte
Vesal Razavimaleki
M. Atkinson
I. Ojalvo
Mark S. Neubauer
P. Elmer
27
47
0
30 Mar 2021
ReCU: Reviving the Dead Weights in Binary Neural Networks
ReCU: Reviving the Dead Weights in Binary Neural Networks
Zihan Xu
Mingbao Lin
Jianzhuang Liu
Jie Chen
Ling Shao
Yue Gao
Yonghong Tian
Rongrong Ji
MQ
24
81
0
23 Mar 2021
Learnable Companding Quantization for Accurate Low-bit Neural Networks
Learnable Companding Quantization for Accurate Low-bit Neural Networks
Kohei Yamamoto
MQ
36
63
0
12 Mar 2021
Distribution Adaptive INT8 Quantization for Training CNNs
Distribution Adaptive INT8 Quantization for Training CNNs
Kang Zhao
Sida Huang
Pan Pan
Yinghan Li
Yingya Zhang
Zhenyu Gu
Yinghui Xu
MQ
27
63
0
09 Feb 2021
Direct Quantization for Training Highly Accurate Low Bit-width Deep
  Neural Networks
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks
Ziquan Liu
Wuguannan Yao
Qiao Li
Antoni B. Chan
MQ
30
9
0
26 Dec 2020
Joint Pruning & Quantization for Extremely Sparse Neural Networks
Joint Pruning & Quantization for Extremely Sparse Neural Networks
Po-Hsiang Yu
Sih-Sian Wu
Jan P. Klopp
Liang-Gee Chen
Shao-Yi Chien
MQ
28
14
0
05 Oct 2020
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized
  Deep Neural Networks
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
Yoonho Boo
Sungho Shin
Jungwook Choi
Wonyong Sung
MQ
30
29
0
30 Sep 2020
Fast Implementation of 4-bit Convolutional Neural Networks for Mobile
  Devices
Fast Implementation of 4-bit Convolutional Neural Networks for Mobile Devices
A. Trusov
E. Limonova
Dmitry Slugin
D. Nikolaev
V. Arlazarov
MQ
25
17
0
14 Sep 2020
AQD: Towards Accurate Fully-Quantized Object Detection
AQD: Towards Accurate Fully-Quantized Object Detection
Peng Chen
Jing Liu
Bohan Zhuang
Mingkui Tan
Chunhua Shen
MQ
31
10
0
14 Jul 2020
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