Three years of low-power image recognition challenge: Introduction to special session

2018 ◽  
Author(s):  
Kent Gauen ◽  
Ryan Dailey ◽  
Yung-Hsiang Lu ◽  
Eunbyung Park ◽  
Wei Liu ◽  
...  
Keyword(s):  
Low Power ◽  
Image Recognition ◽  
Special Session

New Twin Crossbar Architecture of Binary Memristors for Low-Power Image Recognition With Discrete Cosine Transform

2015 ◽  
Vol 14 (6) ◽  
pp. 1104-1111 ◽  
Author(s):  
Son Ngoc Truong ◽  
SangHak Shin ◽  
Sang-Don Byeon ◽  
JaeSang Song ◽  
Kyeong-Sik Min
Keyword(s):  
Low Power ◽  
Discrete Cosine Transform ◽  
Image Recognition ◽  
Cosine Transform ◽  
Crossbar Architecture

scholarly journals Low-power image recognition challenge

2017 ◽  
Author(s):  
Kent Gauen ◽  
Rohit Rangan ◽  
Anup Mohan ◽  
Yung-Hsiang Lu ◽  
Wei Liu ◽  
...  
Keyword(s):  
Low Power ◽  
Image Recognition

scholarly journals Low-power image recognition

2019 ◽  
Vol 1 (4) ◽  
pp. 199-199 ◽  
Author(s):  
Yung-Hsiang Lu
Keyword(s):  
Low Power ◽  
Image Recognition

scholarly journals Low-Power Image Recognition Challenge

AI Magazine ◽  
2018 ◽  
Vol 39 (2) ◽  
pp. 87-88 ◽  
Author(s):  
Yung-Hsiang Lu ◽  
Alexander C. Berg ◽  
Yiran Chen
Keyword(s):  
Energy Conservation ◽  
Low Power ◽  
Image Recognition ◽  
Wearable Devices ◽  
Mobile Systems ◽  
Aerial Robots

Cameras have become available in many embedded and mobile systems, including vehicles, smartphones, wearable devices, and aerial robots. It is desirable to detect objects in the images using the on-board computers. Energy is limited in mobile systems so energy conservation is important. Low-Power Image Recognition Challenge (LPIRC) is the only competition integrating image recognition and low power. LPIRC has been held annually three times since 2015 as an on-site competitions.

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