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Projection Convolutional Neural Networks for 1-bit CNNs via Discrete
  Back Propagation

Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation

30 November 2018
Jiaxin Gu
Ce Li
Baochang Zhang
J. Han
Xianbin Cao
Jianzhuang Liu
David Doermann
    3DV
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Papers citing "Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation"

20 / 20 papers shown
Title
Cauchy-Schwarz Regularizers
Cauchy-Schwarz Regularizers
Sueda Taner
Ziyi Wang
Christoph Studer
41
0
0
03 Mar 2025
Optimizing data-flow in Binary Neural Networks
Optimizing data-flow in Binary Neural Networks
Lorenzo Vorabbi
Davide Maltoni
Stefano Santi
MQ
19
5
0
03 Apr 2023
Performance-aware Approximation of Global Channel Pruning for Multitask
  CNNs
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs
Hancheng Ye
Bo-Wen Zhang
Tao Chen
Jiayuan Fan
Bin Wang
32
18
0
21 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
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
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
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
"BNN - BN = ?": Training Binary Neural Networks without Batch
  Normalization
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization
Tianlong Chen
Zhenyu (Allen) Zhang
Xu Ouyang
Zechun Liu
Zhiqiang Shen
Zhangyang Wang
MQ
37
36
0
16 Apr 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
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural
  Networks by Pruning A Randomly Weighted Network
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
James Diffenderfer
B. Kailkhura
MQ
35
75
0
17 Mar 2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural
  Networks via Guided Distribution Calibration
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
Zhiqiang Shen
Zechun Liu
Jie Qin
Lei Huang
Kwang-Ting Cheng
Marios Savvides
UQCV
SSL
MQ
248
22
0
17 Feb 2021
BARS: Joint Search of Cell Topology and Layout for Accurate and
  Efficient Binary ARchitectures
BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures
Tianchen Zhao
Xuefei Ning
Xiangsheng Shi
Songyi Yang
Shuang Liang
Peng Lei
Jianfei Chen
Huazhong Yang
Yu Wang
MQ
23
7
0
21 Nov 2020
Reducing the Computational Cost of Deep Generative Models with Binary
  Neural Networks
Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks
Thomas Bird
F. Kingma
David Barber
SyDa
MQ
AI4CE
23
9
0
26 Oct 2020
Training Binary Neural Networks through Learning with Noisy Supervision
Training Binary Neural Networks through Learning with Noisy Supervision
Kai Han
Yunhe Wang
Yixing Xu
Chunjing Xu
Enhua Wu
Chang Xu
MQ
13
55
0
10 Oct 2020
Learning Architectures for Binary Networks
Learning Architectures for Binary Networks
Dahyun Kim
Kunal Pratap Singh
Jonghyun Choi
MQ
25
44
0
17 Feb 2020
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by
  Coupling Binary Activations
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations
Hyungjun Kim
Kyungsu Kim
Jinseok Kim
Jae-Joon Kim
MQ
14
47
0
16 Feb 2020
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
Joseph Bethge
Christian Bartz
Haojin Yang
Ying Chen
Christoph Meinel
MQ
25
91
0
16 Jan 2020
Iteratively Training Look-Up Tables for Network Quantization
Iteratively Training Look-Up Tables for Network Quantization
Fabien Cardinaux
Stefan Uhlich
K. Yoshiyama
Javier Alonso García
Lukas Mauch
Stephen Tiedemann
Thomas Kemp
Akira Nakamura
MQ
27
16
0
12 Nov 2019
Bayesian Optimized 1-Bit CNNs
Bayesian Optimized 1-Bit CNNs
Jiaxin Gu
Junhe Zhao
Xiaolong Jiang
Baochang Zhang
Jianzhuang Liu
G. Guo
Rongrong Ji
BDL
MQ
17
56
0
17 Aug 2019
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