Apr 15, 2019 · This article summarizes 2018 winners' solutions. (2) Suggest directions for research as well as opportunities for low-power computer vision.
Since 2015, the IEEE Annual International. Low-Power Image Recognition Challenge (LPIRC) has been held to identify the most energy-efficient computer vision ...
Dec 16, 2024 · The IEEE Low-Power Image Recognition Challenge (LPIRC) is an annual competition started in 2015 that encourages joint hardware and software ...
What's Next? • "Grand Challenge in Low-Power Computer Vision" Workshop: June 17 at CVPR in Long Beach. • "Low-Power Computer Vision" Workshop: October 28 at ...
Based on technology trends, the speaker will identify the challenges and opportunities in enabling energy-efficient computer vision. Track. Technical Insights I ...
This paper presents a novel technique to allow DNNs to adapt their accuracy and energy consumption during run-time, without the need for any re-training, ...
Jul 24, 2019 · Purdue's Professor Yung-Hsiang Lu describes an IEEE low-power computer vision competition and summarizes the winning solutions.
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Mar 11, 2024 · This article explains the setup of the competition and highlights the winners' methods that improve accuracy and shorten execution time.
The Low Power Computer Vision workshop will discuss the state of the art of low-power computer vision, challenges in creating efficient vision solutions, ...
2018 Low-Power Computer Vision: Status, Challenges, Opportunities · 2019 Fine-Grained Energy and Performance Profiling framework for Deep Convolutional Neural ...