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BCNN: A Binary CNN with All Matrix Ops Quantized to 1 Bit Precision

BCNN: A Binary CNN with All Matrix Ops Quantized to 1 Bit Precision

1 October 2020
A. Redfern
Lijun Zhu
Molly K. Newquist
    MQ
ArXivPDFHTML

Papers citing "BCNN: A Binary CNN with All Matrix Ops Quantized to 1 Bit Precision"

6 / 6 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
BiDet: An Efficient Binarized Object Detector
BiDet: An Efficient Binarized Object Detector
Ziwei Wang
Ziyi Wu
Jiwen Lu
Jie Zhou
MQ
49
64
0
09 Mar 2020
Forward and Backward Information Retention for Accurate Binary Neural
  Networks
Forward and Backward Information Retention for Accurate Binary Neural Networks
Haotong Qin
Ruihao Gong
Xianglong Liu
Mingzhu Shen
Ziran Wei
F. Yu
Jingkuan Song
MQ
122
324
0
24 Sep 2019
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
221
1,399
0
04 Dec 2018
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
316
1,047
0
10 Feb 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
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