Low-Power Computer Vision
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Published By Chapman And Hall/CRC

9781003162810
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

History of Low-Power Computer Vision Challenge

2022 ◽  
pp. 17-24
Author(s):  
Yung-Hsiang Lu ◽  
Xiao Hu ◽  
Yiran Chen ◽  
Joe Spisak ◽  
Gaurav Aggarwal ◽  
...  
Keyword(s):  
Computer Vision ◽  
Low Power ◽  
History Of

Survey on Energy-Efficient Deep Neural Networks for Computer Vision

2022 ◽  
pp. 25-52
Author(s):  
Abhinav Goel ◽  
Caleb Tung ◽  
Xiao Hu ◽  
Haobo Wang ◽  
Yung-Hsiang Lu ◽  
...  
Keyword(s):  
Neural Networks ◽  
Computer Vision ◽  
Energy Efficient ◽  
Deep Neural Networks

Power-efficient Neural Network Scheduling

2022 ◽  
pp. 127-172
Author(s):  
Ying Wang ◽  
Xuyi Cai ◽  
Xiandong Zhao
Keyword(s):  
Neural Network ◽  
Network Scheduling ◽  
Power Efficient

Book Introduction

2022 ◽  
pp. 3-16
Author(s):  
Yung-Hsiang Lu ◽  
George K. Thiruvathukal ◽  
Jaeyoun Kim ◽  
Yiran Chen ◽  
Bo Chen

Design Methodology for Low-Power Image Recognition Systems

2022 ◽  
pp. 191-220
Author(s):  
Soonhoi Ha ◽  
EunJin Jeong ◽  
Duseok Kang ◽  
Jangryul Kim ◽  
Donghyun Kang
Keyword(s):  
Low Power ◽  
Image Recognition ◽  
Design Methodology ◽  
Recognition Systems

Quantizing Neural Networks for Low-Power Computer Vision

2022 ◽  
pp. 235-272
Author(s):  
Marios Fournarakis ◽  
Markus Nagel ◽  
Rana Ali Amjad ◽  
Yelysei Bondarenko ◽  
Mart van Baalen ◽  
...  
Keyword(s):  
Neural Networks ◽  
Computer Vision ◽  
Low Power

Hardware Design and Software Practices for Efficient Neural Network Inference

2022 ◽  
pp. 55-90
Author(s):  
Yu Wang ◽  
Xuefei Ning ◽  
Shulin Zeng ◽  
Yi Cai ◽  
Kaiyuan Guo ◽  
...  
Keyword(s):  
Neural Network ◽  
Network Inference ◽  
Hardware Design
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