ResearchTrend.AI
FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond
v1v2v3v4 (latest)

FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond

Z. Su
Linpu Fang
Deke Guo
Duwen Hu
M. Pietikäinen
Li Liu
    MQ
ArXiv (abs)PDFHTMLGithub (7★)

Papers citing "FTBNN: Rethinking Non-linearity for 1-bit CNNs and Going Beyond"

12 / 12 papers shown
Title
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions
Zechun Liu
Zhiqiang Shen
Marios Savvides
Kwang-Ting Cheng
MQ
143
354
0
07 Mar 2020
BATS: Binary ArchitecTure Search
BATS: Binary ArchitecTure Search
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
MQ
73
68
0
03 Mar 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-Cong Chen
Christoph Meinel
MQ
70
91
0
16 Jan 2020
Adaptive Loss-aware Quantization for Multi-bit Networks
Adaptive Loss-aware Quantization for Multi-bit Networks
Zhongnan Qu
Zimu Zhou
Yun Cheng
Lothar Thiele
MQ
134
55
0
18 Dec 2019
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation
Chunlei Liu
Wenrui Ding
Xin Xia
Baochang Zhang
Jiaxin Gu
Jianzhuang Liu
Rongrong Ji
David Doermann
MQ
86
75
0
24 Oct 2019
XNOR-Net++: Improved Binary Neural Networks
XNOR-Net++: Improved Binary Neural Networks
Adrian Bulat
Georgios Tzimiropoulos
MQ
76
203
0
30 Sep 2019
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation
Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation
Bohan Zhuang
Chunhua Shen
Mingkui Tan
Lingqiao Liu
Ian Reid
MQ
88
154
0
22 Nov 2018
Deep Learning for Generic Object Detection: A Survey
Deep Learning for Generic Object Detection: A Survey
Li Liu
Wanli Ouyang
Xiaogang Wang
Paul Fieguth
Jie Chen
Xinwang Liu
M. Pietikäinen
ObjDVLMOOD
165
2,456
0
06 Sep 2018
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Dongqing Zhang
Jiaolong Yang
Dongqiangzi Ye
G. Hua
MQ
63
703
0
26 Jul 2018
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
522
10,345
0
16 Nov 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
175
4,369
0
16 Mar 2016
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
335
18,647
0
06 Feb 2015