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Towards Closing the Energy Gap Between HOG and CNN Features for Embedded
  Vision

Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision

17 March 2017
Amr Suleiman
Yu-hsin Chen
J. Emer
Vivienne Sze
ArXiv (abs)PDFHTML

Papers citing "Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision"

10 / 10 papers shown
Title
An Overview of Violence Detection Techniques: Current Challenges and
  Future Directions
An Overview of Violence Detection Techniques: Current Challenges and Future DirectionsArtificial Intelligence Review (Artif Intell Rev), 2022
N. Mumtaz
N. Ejaz
Shabana Habib
Syed Muhammad Mohsin
Prayag Tiwari
Shahab S. Band
Neeraj Kumar
206
33
0
21 Sep 2022
YOLOpeds: Efficient Real-Time Single-Shot Pedestrian Detection for Smart
  Camera Applications
YOLOpeds: Efficient Real-Time Single-Shot Pedestrian Detection for Smart Camera ApplicationsIET Computer Vision (ICV), 2020
C. Kyrkou
3DH
111
18
0
27 Jul 2020
Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by
  Selective Tile Processing
Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile ProcessingACM/IEEE International Conference on Distributed Smart Cameras (ICDSC), 2018
George Plastiras
C. Kyrkou
T. Theocharides
116
60
0
14 Nov 2019
Neural Network Design for Energy-Autonomous AI Applications using
  Temporal Encoding
Neural Network Design for Energy-Autonomous AI Applications using Temporal Encoding
S. Mileiko
Thanasin Bunnam
F. Xia
Rishad Shafik
Alex Yakovlev
Shidhartha Das
78
0
0
15 Oct 2019
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer
  Learning
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning
P. Whatmough
Chuteng Zhou
Patrick Hansen
S. Venkataramanaiah
Jae-sun Seo
Matthew Mattina
139
61
0
27 Feb 2019
ECC: Platform-Independent Energy-Constrained Deep Neural Network
  Compression via a Bilinear Regression Model
ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model
Haichuan Yang
Yuhao Zhu
Ji Liu
219
43
0
05 Dec 2018
Energy Efficient Hardware for On-Device CNN Inference via Transfer
  Learning
Energy Efficient Hardware for On-Device CNN Inference via Transfer Learning
P. Whatmough
Chuteng Zhou
Patrick Hansen
Matthew Mattina
83
1
0
04 Dec 2018
SIPs: Succinct Interest Points from Unsupervised Inlierness Probability
  Learning
SIPs: Succinct Interest Points from Unsupervised Inlierness Probability Learning
Titus Cieslewski
Konstantinos G. Derpanis
Davide Scaramuzza
182
7
0
03 May 2018
Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous
  Vision
Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision
Yuhao Zhu
A. Samajdar
Matthew Mattina
P. Whatmough
225
92
0
29 Mar 2018
Hardware for Machine Learning: Challenges and Opportunities
Hardware for Machine Learning: Challenges and OpportunitiesIEEE Custom Integrated Circuits Conference (CICC), 2016
Vivienne Sze
Yu-hsin Chen
Joel S. Einer
Amr Suleiman
Zhengdong Zhang
286
79
0
22 Dec 2016
1