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Two-Bit Networks for Deep Learning on Resource-Constrained Embedded
  Devices
v1v2 (latest)

Two-Bit Networks for Deep Learning on Resource-Constrained Embedded Devices

2 January 2017
Wenjia Meng
Zonghua Gu
Ming Zhang
Zhaohui Wu
ArXiv (abs)PDFHTML

Papers citing "Two-Bit Networks for Deep Learning on Resource-Constrained Embedded Devices"

11 / 11 papers shown
Title
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic
  Segmentation on the Edge
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge
Xiaoyue Wen
M. Famouri
Andrew Hryniowski
Alexander Wong
SSeg
63
7
0
29 Apr 2021
AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via
  Visual Attention Condensers
AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers
A. Wong
M. Famouri
M. Shafiee
66
20
0
30 Sep 2020
Trust-Based Cloud Machine Learning Model Selection For Industrial IoT
  and Smart City Services
Trust-Based Cloud Machine Learning Model Selection For Industrial IoT and Smart City Services
Basheer Qolomany
Ihab Mohammed
Ala I. Al-Fuqaha
Mohsen Guizani
Junaid Qadir
54
36
0
11 Aug 2020
JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural
  Network Training
JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training
José Á. Morell
Andrés Camero
Enrique Alba
63
9
0
12 Oct 2019
EdgeSegNet: A Compact Network for Semantic Segmentation
EdgeSegNet: A Compact Network for Semantic Segmentation
Z. Q. Lin
Brendan Chwyl
A. Wong
SSeg
49
9
0
10 May 2019
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via
  Human-Machine Collaborative Design
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design
A. Wong
Z. Q. Lin
Brendan Chwyl
HAI
72
14
0
18 Mar 2019
FermiNets: Learning generative machines to generate efficient neural
  networks via generative synthesis
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis
A. Wong
M. Shafiee
Brendan Chwyl
Francis Li
71
64
0
17 Sep 2018
An Overview of Datatype Quantization Techniques for Convolutional Neural
  Networks
An Overview of Datatype Quantization Techniques for Convolutional Neural Networks
A. Athar
BDLMQ
28
0
0
22 Aug 2018
SquishedNets: Squishing SqueezeNet further for edge device scenarios via
  deep evolutionary synthesis
SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis
M. Shafiee
Francis Li
Brendan Chwyl
A. Wong
71
26
0
20 Nov 2017
BitNet: Bit-Regularized Deep Neural Networks
BitNet: Bit-Regularized Deep Neural Networks
Aswin Raghavan
Mohamed R. Amer
S. Chai
Graham Taylor
MQ
77
10
0
16 Aug 2017
Fog-Assisted wIoT: A Smart Fog Gateway for End-to-End Analytics in
  Wearable Internet of Things
Fog-Assisted wIoT: A Smart Fog Gateway for End-to-End Analytics in Wearable Internet of Things
Nicholas Constant
Debanjan Borthakur
M. Abtahi
Harishchandra Dubey
Kunal Mankodiya
82
56
0
25 Jan 2017
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