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ReActNet: Towards Precise Binary Neural Network with Generalized
  Activation Functions

ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions

7 March 2020
Zechun Liu
Zhiqiang Shen
Marios Savvides
Kwang-Ting Cheng
    MQ
ArXivPDFHTML

Papers citing "ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions"

50 / 63 papers shown
Title
RGB-Event Fusion with Self-Attention for Collision Prediction
RGB-Event Fusion with Self-Attention for Collision Prediction
Pietro Bonazzi
Christian Vogt
Michael Jost
Haotong Qin
Lyes Khacef
Federico Paredes-Valles
Michele Magno
32
0
0
07 May 2025
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
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
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
40
0
0
25 May 2024
Designed Dithering Sign Activation for Binary Neural Networks
Designed Dithering Sign Activation for Binary Neural Networks
Brayan Monroy
Juan Estupiñán
T. Gelvez-Barrera
Jorge Bacca
Henry Arguello
MQ
35
1
0
03 May 2024
Binarized Low-light Raw Video Enhancement
Binarized Low-light Raw Video Enhancement
Gengchen Zhang
Yulun Zhang
Xin Yuan
Ying Fu
MQ
34
3
0
29 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
29
0
0
21 Dec 2023
The Road to On-board Change Detection: A Lightweight Patch-Level Change
  Detection Network via Exploring the Potential of Pruning and Pooling
The Road to On-board Change Detection: A Lightweight Patch-Level Change Detection Network via Exploring the Potential of Pruning and Pooling
Lihui Xue
Zhihao Wang
Xueqian Wang
Gang Li
41
1
0
16 Oct 2023
On-Device Learning with Binary Neural Networks
On-Device Learning with Binary Neural Networks
Lorenzo Vorabbi
Davide Maltoni
Stefano Santi
MQ
39
4
0
29 Aug 2023
Optimizing data-flow in Binary Neural Networks
Optimizing data-flow in Binary Neural Networks
Lorenzo Vorabbi
Davide Maltoni
Stefano Santi
MQ
22
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
29
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
32
6
0
27 Mar 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
34
36
0
26 Jan 2023
Guided Hybrid Quantization for Object detection in Multimodal Remote
  Sensing Imagery via One-to-one Self-teaching
Guided Hybrid Quantization for Object detection in Multimodal Remote Sensing Imagery via One-to-one Self-teaching
Jiaqing Zhang
Jie Lei
Weiying Xie
Yunsong Li
Wenxuan Wang
MQ
27
18
0
31 Dec 2022
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons
Yixing Xu
Xinghao Chen
Yunhe Wang
MQ
27
8
0
29 Dec 2022
Redistribution of Weights and Activations for AdderNet Quantization
Redistribution of Weights and Activations for AdderNet Quantization
Ying Nie
Kai Han
Haikang Diao
Chuanjian Liu
Enhua Wu
Yunhe Wang
MQ
55
6
0
20 Dec 2022
Signed Binary Weight Networks
Sachit Kuhar
Alexey Tumanov
Judy Hoffman
MQ
21
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
34
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
Partial Binarization of Neural Networks for Budget-Aware Efficient
  Learning
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning
Udbhav Bamba
Neeraj Anand
Saksham Aggarwal
Dilip K Prasad
D. K. Gupta
MQ
26
0
0
12 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
34
3
0
25 Oct 2022
IDa-Det: An Information Discrepancy-aware Distillation for 1-bit
  Detectors
IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors
Sheng Xu
Yanjing Li
Bo-Wen Zeng
Teli Ma
Baochang Zhang
Xianbin Cao
Penglei Gao
Jinhu Lv
30
15
0
07 Oct 2022
Convolutional Neural Networks Quantization with Attention
Convolutional Neural Networks Quantization with Attention
Binyi Wu
Bernd Waschneck
Christian Mayr
MQ
24
1
0
30 Sep 2022
QuantNAS for super resolution: searching for efficient
  quantization-friendly architectures against quantization noise
QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise
Egor Shvetsov
Dmitry Osin
Alexey Zaytsev
Ivan Koryakovskiy
Valentin Buchnev
I. Trofimov
Evgeny Burnaev
MQ
23
2
0
31 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
Lipschitz Continuity Retained Binary Neural Network
Lipschitz Continuity Retained Binary Neural Network
Yuzhang Shang
Dan Xu
Bin Duan
Ziliang Zong
Liqiang Nie
Yan Yan
16
19
0
13 Jul 2022
Network Pruning via Feature Shift Minimization
Network Pruning via Feature Shift Minimization
Y. Duan
Yue Zhou
Peng He
Qiang Liu
Shukai Duan
Xiaofang Hu
18
4
0
06 Jul 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
Sung Ju Hwang
Yonina C. Eldar
MQ
28
1
0
04 Jul 2022
Neural Networks with A La Carte Selection of Activation Functions
Neural Networks with A La Carte Selection of Activation Functions
Moshe Sipper
16
7
0
24 Jun 2022
Bimodal Distributed Binarized Neural Networks
Bimodal Distributed Binarized Neural Networks
T. Rozen
Moshe Kimhi
Brian Chmiel
A. Mendelson
Chaim Baskin
MQ
47
4
0
05 Apr 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
On-Sensor Binarized Fully Convolutional Neural Network with A Pixel Processor Array
Yanan Liu
Laurie Bose
Yao Lu
Piotr Dudek
Walterio W. Mayol-Cuevas
16
0
0
02 Feb 2022
VAQF: Fully Automatic Software-Hardware Co-Design Framework for Low-Bit
  Vision Transformer
VAQF: Fully Automatic Software-Hardware Co-Design Framework for Low-Bit Vision Transformer
Mengshu Sun
Haoyu Ma
Guoliang Kang
Yi Ding
Tianlong Chen
Xiaolong Ma
Zhangyang Wang
Yanzhi Wang
ViT
33
45
0
17 Jan 2022
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
30
6
0
19 Dec 2021
Network Compression via Central Filter
Network Compression via Central Filter
Y. Duan
Xiaofang Hu
Yue Zhou
Qiang Liu
Shukai Duan
3DPC
16
1
0
10 Dec 2021
PokeBNN: A Binary Pursuit of Lightweight Accuracy
PokeBNN: A Binary Pursuit of Lightweight Accuracy
Yichi Zhang
Zhiru Zhang
Lukasz Lew
MQ
35
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
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
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at
  Scale
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale
Karthik Garimella
N. Jha
Zahra Ghodsi
S. Garg
Brandon Reagen
33
3
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
Dynamic Binary Neural Network by learning channel-wise thresholds
Dynamic Binary Neural Network by learning channel-wise thresholds
Jiehua Zhang
Z. Su
Yang Feng
Xin Lu
M. Pietikäinen
Li Liu
MQ
19
18
0
08 Oct 2021
Quantization Backdoors to Deep Learning Commercial Frameworks
Quantization Backdoors to Deep Learning Commercial Frameworks
Hua Ma
Huming Qiu
Yansong Gao
Zhi-Li Zhang
A. Abuadbba
Minhui Xue
Anmin Fu
Jiliang Zhang
S. Al-Sarawi
Derek Abbott
MQ
38
19
0
20 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
82
0
21 Jun 2021
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks
Nianhui Guo
Joseph Bethge
Haojin Yang
Kai Zhong
Xuefei Ning
Christoph Meinel
Yu Wang
MQ
24
11
0
13 Jun 2021
Winograd Algorithm for AdderNet
Winograd Algorithm for AdderNet
Wenshuo Li
Hanting Chen
Mingqiang Huang
Xinghao Chen
Chunjing Xu
Yunhe Wang
21
8
0
12 May 2021
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP
  Protection for Internet of Things
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things
Huming Qiu
Hua Ma
Zhi-Li Zhang
Yifeng Zheng
Anmin Fu
Pan Zhou
Yansong Gao
Derek Abbott
S. Al-Sarawi
MQ
19
9
0
09 May 2021
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