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  4. Cited By
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved
  Representational Capability and Advanced Training Algorithm

Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm

1 August 2018
Zechun Liu
Baoyuan Wu
Wenhan Luo
Xin Yang
W. Liu
K. Cheng
    MQ
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Papers citing "Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm"

50 / 91 papers shown
Title
PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs
PROM: Prioritize Reduction of Multiplications Over Lower Bit-Widths for Efficient CNNs
Lukas Meiner
Jens Mehnert
A. P. Condurache
MQ
42
0
0
06 May 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
64
0
0
04 Mar 2025
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism
Yu Liang
Wenjie Wei
A. Belatreche
Honglin Cao
Zijian Zhou
Shuai Wang
Malu Zhang
Y. Yang
MQ
63
0
0
21 Feb 2025
Histogram-Equalized Quantization for logic-gated Residual Neural Networks
Histogram-Equalized Quantization for logic-gated Residual Neural Networks
Van Thien Nguyen
William Guicquero
Gilles Sicard
MQ
41
1
0
10 Jan 2025
BDC-Occ: Binarized Deep Convolution Unit For Binarized Occupancy Network
BDC-Occ: Binarized Deep Convolution Unit For Binarized Occupancy Network
Zongkai Zhang
Zidong Xu
Wenming Yang
Qingmin Liao
Jing-Hao Xue
MQ
3DV
46
1
0
27 May 2024
BOLD: Boolean Logic Deep Learning
BOLD: Boolean Logic Deep Learning
Van Minh Nguyen
Cristian Ocampo
Aymen Askri
Louis Leconte
Ba-Hien Tran
AI4CE
37
0
0
25 May 2024
TerDiT: Ternary Diffusion Models with Transformers
TerDiT: Ternary Diffusion Models with Transformers
Xudong Lu
Aojun Zhou
Ziyi Lin
Qi Liu
Yuhui Xu
Renrui Zhang
Yafei Wen
Shuai Ren
Peng Gao
Junchi Yan
MQ
45
2
0
23 May 2024
Binarized Low-light Raw Video Enhancement
Binarized Low-light Raw Video Enhancement
Gengchen Zhang
Yulun Zhang
Xin Yuan
Ying Fu
MQ
32
3
0
29 Mar 2024
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off
PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off
Sachit Kuhar
Yash Jain
Alexey Tumanov
MQ
54
0
0
04 Dec 2023
On-Device Learning with Binary Neural Networks
On-Device Learning with Binary Neural Networks
Lorenzo Vorabbi
Davide Maltoni
Stefano Santi
MQ
28
4
0
29 Aug 2023
Learning Discrete Weights and Activations Using the Local
  Reparameterization Trick
Learning Discrete Weights and Activations Using the Local Reparameterization Trick
G. Berger
Aviv Navon
Ethan Fetaya
MQ
22
0
0
04 Jul 2023
RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer
RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer
Jiahao Wang
Songyang Zhang
Yong Liu
Taiqiang Wu
Yujiu Yang
Xihui Liu
Kai-xiang Chen
Ping Luo
Dahua Lin
30
20
0
12 Apr 2023
Optimizing data-flow in Binary Neural Networks
Optimizing data-flow in Binary Neural Networks
Lorenzo Vorabbi
Davide Maltoni
Stefano Santi
MQ
11
5
0
03 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
18
23
0
01 Apr 2023
Binarizing Sparse Convolutional Networks for Efficient Point Cloud
  Analysis
Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis
Xiuwei Xu
Ziwei Wang
Jie Zhou
Jiwen Lu
3DPC
MQ
27
6
0
27 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
Fei Chao
Rongrong Ji
MQ
10
12
0
21 Mar 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
44
21
0
19 Feb 2023
Binarized Neural Machine Translation
Binarized Neural Machine Translation
Yichi Zhang
Ankush Garg
Yuan Cao
Lukasz Lew
Behrooz Ghorbani
Zhiru Zhang
Orhan Firat
MQ
34
14
0
09 Feb 2023
Learning Discretized Neural Networks under Ricci Flow
Learning Discretized Neural Networks under Ricci Flow
Jun Chen
Han Chen
Mengmeng Wang
Guang Dai
Ivor W. Tsang
Y. Liu
20
2
0
07 Feb 2023
Oscillation-free Quantization for Low-bit Vision Transformers
Oscillation-free Quantization for Low-bit Vision Transformers
Shi Liu
Zechun Liu
Kwang-Ting Cheng
MQ
15
34
0
04 Feb 2023
BiBench: Benchmarking and Analyzing Network Binarization
BiBench: Benchmarking and Analyzing Network Binarization
Haotong Qin
Mingyuan Zhang
Yifu Ding
Aoyu Li
Zhongang Cai
Ziwei Liu
F. I. F. Richard Yu
Xianglong Liu
MQ
AAML
29
36
0
26 Jan 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
15
1
0
15 Jan 2023
Boosted Dynamic Neural Networks
Boosted Dynamic Neural Networks
Haichao Yu
Haoxiang Li
G. Hua
Gao Huang
Humphrey Shi
30
7
0
30 Nov 2022
Signed Binary Weight Networks
Sachit Kuhar
Alexey Tumanov
Judy Hoffman
MQ
13
1
0
25 Nov 2022
Join the High Accuracy Club on ImageNet with A Binary Neural Network
  Ticket
Join the High Accuracy Club on ImageNet with A Binary Neural Network Ticket
Nianhui Guo
Joseph Bethge
Christoph Meinel
Haojin Yang
MQ
28
19
0
23 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
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to
  Real-Network Performance
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance
Haotong Qin
Xudong Ma
Yifu Ding
X. Li
Yang Zhang
Zejun Ma
Jiakai Wang
Jie Luo
Xianglong Liu
MQ
40
20
0
13 Nov 2022
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs,
  Mobile AI & AIM 2022 challenge: Report
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report
Andrey D. Ignatov
Radu Timofte
Maurizio Denna
Abdelbadie Younes
Ganzorig Gankhuyag
...
Jing Liu
Garas Gendy
Nabil Sabor
J. Hou
Guanghui He
SupR
MQ
20
31
0
07 Nov 2022
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI &
  AIM 2022 Challenge: Report
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report
Andrey D. Ignatov
Grigory Malivenko
Radu Timofte
Lukasz Treszczotko
Xin-ke Chang
...
Dongwon Park
Seongmin Hong
Joonhee Lee
Seunggyu Lee
Sengsub Chun
28
17
0
07 Nov 2022
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI &
  AIM 2022 Challenge: Report
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report
Andrey D. Ignatov
Radu Timofte
Shuai Liu
Chaoyu Feng
Furui Bai
...
Xin Lou
Wei Zhou
Cong Pang
Haina Qin
Mingxuan Cai
21
23
0
07 Nov 2022
AskewSGD : An Annealed interval-constrained Optimisation method to train
  Quantized Neural Networks
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks
Louis Leconte
S. Schechtman
Eric Moulines
29
4
0
07 Nov 2022
LAB: Learnable Activation Binarizer for Binary Neural Networks
LAB: Learnable Activation Binarizer for Binary Neural Networks
Sieger Falkena
Hadi Jamali Rad
J. C. V. Gemert
MQ
28
3
0
25 Oct 2022
Fast and Low-Memory Deep Neural Networks Using Binary Matrix
  Factorization
Fast and Low-Memory Deep Neural Networks Using Binary Matrix Factorization
Alireza Bordbar
M. Kahaei
MQ
25
0
0
24 Oct 2022
Seeking Interpretability and Explainability in Binary Activated Neural
  Networks
Seeking Interpretability and Explainability in Binary Activated Neural Networks
Benjamin Leblanc
Pascal Germain
FAtt
37
1
0
07 Sep 2022
A Scalable, Interpretable, Verifiable & Differentiable Logic Gate
  Convolutional Neural Network Architecture From Truth Tables
A Scalable, Interpretable, Verifiable & Differentiable Logic Gate Convolutional Neural Network Architecture From Truth Tables
Adrien Benamira
Tristan Guérand
Thomas Peyrin
Trevor Yap
Bryan Hooi
32
1
0
18 Aug 2022
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
Zhaopeng Tu
Xinghao Chen
Pengju Ren
Yunhe Wang
MQ
36
54
0
17 Aug 2022
Mixed-Precision Neural Networks: A Survey
Mixed-Precision Neural Networks: A Survey
M. Rakka
M. Fouda
Pramod P. Khargonekar
Fadi J. Kurdahi
MQ
21
11
0
11 Aug 2022
BiTAT: Neural Network Binarization with Task-dependent Aggregated
  Transformation
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation
Geondo Park
Jaehong Yoon
H. Zhang
Xingge Zhang
S. Hwang
Yonina C. Eldar
MQ
28
1
0
04 Jul 2022
Bimodal Distributed Binarized Neural Networks
Bimodal Distributed Binarized Neural Networks
T. Rozen
Moshe Kimhi
Brian Chmiel
A. Mendelson
Chaim Baskin
MQ
36
4
0
05 Apr 2022
ZippyPoint: Fast Interest Point Detection, Description, and Matching
  through Mixed Precision Discretization
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization
Menelaos Kanakis
S. Maurer
Matteo Spallanzani
Ajad Chhatkuli
Luc Van Gool
3DPC
26
13
0
07 Mar 2022
Bit-wise Training of Neural Network Weights
Bit-wise Training of Neural Network Weights
Cristian Ivan
MQ
16
0
0
19 Feb 2022
Binary Neural Networks as a general-propose compute paradigm for
  on-device computer vision
Binary Neural Networks as a general-propose compute paradigm for on-device computer vision
Guhong Nie
Lirui Xiao
Menglong Zhu
Dongliang Chu
Yue-Hong Shen
Peng Li
Kan Yang
Li Du
Bo Chen Dji Innovations Inc
MQ
34
5
0
08 Feb 2022
GhostNets on Heterogeneous Devices via Cheap Operations
GhostNets on Heterogeneous Devices via Cheap Operations
Kai Han
Yunhe Wang
Chang Xu
Jianyuan Guo
Chunjing Xu
Enhua Wu
Qi Tian
19
102
0
10 Jan 2022
An Empirical Study of Adder Neural Networks for Object Detection
An Empirical Study of Adder Neural Networks for Object Detection
Xinghao Chen
Chang Xu
Minjing Dong
Chunjing Xu
Yunhe Wang
85
15
0
27 Dec 2021
Elastic-Link for Binarized Neural Network
Elastic-Link for Binarized Neural Network
Jie Hu
Ziheng Wu
Vince Tan
Zhilin Lu
Mengze Zeng
Enhua Wu
MQ
28
6
0
19 Dec 2021
PokeBNN: A Binary Pursuit of Lightweight Accuracy
PokeBNN: A Binary Pursuit of Lightweight Accuracy
Yichi Zhang
Zhiru Zhang
Lukasz Lew
MQ
33
57
0
30 Nov 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
102
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
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
43
7
0
16 Oct 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
22
82
0
21 Jun 2021
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