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RBCN: Rectified Binary Convolutional Networks for Enhancing the
  Performance of 1-bit DCNNs
v1v2 (latest)

RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs

International Joint Conference on Artificial Intelligence (IJCAI), 2019
21 August 2019
Chunlei Liu
Wenrui Ding
Xin Xia
Yuan Hu
Baochang Zhang
Jianzhuang Liu
Bohan Zhuang
G. Guo
    MQ
ArXiv (abs)PDFHTML

Papers citing "RBCN: Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs"

12 / 12 papers shown
Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering
Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering
Yankai Chen
Yue Que
Xinni Zhang
Chen Ma
Irwin King
251
2
0
03 Jun 2025
Recurrent Bilinear Optimization for Binary Neural Networks
Recurrent Bilinear Optimization for Binary Neural NetworksEuropean Conference on Computer Vision (ECCV), 2022
Sheng Xu
Yanjing Li
Tian Wang
Teli Ma
Baochang Zhang
Shiyang Feng
Yu Qiao
Jinhu Lv
Guodong Guo
MQ
269
16
0
04 Sep 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
179
6
0
08 Feb 2022
A comprehensive review of Binary Neural Network
A comprehensive review of Binary Neural NetworkArtificial Intelligence Review (AIR), 2021
Chunyu Yuan
S. Agaian
MQ
388
132
0
11 Oct 2021
RCT: Resource Constrained Training for Edge AI
RCT: Resource Constrained Training for Edge AIIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Tian Huang
Yaoyu Zhang
Ming Yan
Qiufeng Wang
Rick Siow Mong Goh
298
11
0
26 Mar 2021
Direct Quantization for Training Highly Accurate Low Bit-width Deep
  Neural Networks
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Ziquan Liu
Wuguannan Yao
Qiao Li
Antoni B. Chan
MQ
288
11
0
26 Dec 2020
A Review of Recent Advances of Binary Neural Networks for Edge Computing
A Review of Recent Advances of Binary Neural Networks for Edge ComputingIEEE Journal on Miniaturization for Air and Space Systems (J-MASS), 2020
Wenyu Zhao
Teli Ma
Xuan Gong
Baochang Zhang
David Doermann
MQ
217
25
0
24 Nov 2020
Binarized Neural Architecture Search for Efficient Object Recognition
Binarized Neural Architecture Search for Efficient Object RecognitionInternational Journal of Computer Vision (IJCV), 2020
Hanlin Chen
Lian Zhuo
Baochang Zhang
Xiawu Zheng
Jianzhuang Liu
Rongrong Ji
David Doermann
G. Guo
MQ
154
22
0
08 Sep 2020
Distillation Guided Residual Learning for Binary Convolutional Neural
  Networks
Distillation Guided Residual Learning for Binary Convolutional Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Jianming Ye
Shiliang Zhang
Jingdong Wang
MQ
311
19
0
10 Jul 2020
Loss Aware Post-training Quantization
Loss Aware Post-training QuantizationMachine-mediated learning (ML), 2019
Yury Nahshan
Brian Chmiel
Chaim Baskin
Evgenii Zheltonozhskii
Ron Banner
A. Bronstein
A. Mendelson
MQ
347
186
0
17 Nov 2019
Aggregation Signature for Small Object Tracking
Aggregation Signature for Small Object TrackingIEEE Transactions on Image Processing (TIP), 2019
Chunlei Liu
Wenrui Ding
Jinyu Yang
Vittorio Murino
Baochang Zhang
Jiawei Han
G. Guo
154
35
0
24 Oct 2019
CAT: Compression-Aware Training for bandwidth reduction
CAT: Compression-Aware Training for bandwidth reductionJournal of machine learning research (JMLR), 2019
Chaim Baskin
Brian Chmiel
Evgenii Zheltonozhskii
Ron Banner
A. Bronstein
A. Mendelson
MQ
160
12
0
25 Sep 2019
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