CVPR Workshop 2022
This Workshop focuses on Efficient Deep Learning For Computer Vision.
Workshop Overview Official Website
- Computer Vision research has given little consideration to speed or computation time, and even less to constraints such as power/energy, memory footprint and model size.
- Nevertheless, addressing all of these metrics is essential if advances in Computer Vision are going to be widely available on mobile and AR/VR devices.
- This workshop will focus on efficient deep learning algorithms, models, and systems for computer vision.
About LPCVC
The Low-Power Computer Vision Challenge is an annual competition started in 2015.
Motivation
Computer vision technologies have made impressive progress in recent years, but often at the expense of increasingly complex models needing more and more computational and storage resources.
Our Aim
This workshop aims to improve the energy efficiency of computer vision for running on systems with stringent resource constraints.
Our Plan
This workshop will discuss the state of the art of low-power computer vision, challenges in creating efficient vision solutions, promising technologies that can achieve the goals, methods to acquire and label data, benchmarks and metrics to evaluate progress and success.
Gallery
- All
- 2015
- 2016
- 2017
- 2018
- 2019
Winners
2019
Workshop
2019
Track 1 Winners
2018
Track 2&3 Winner
2018
Workshop
2018
Team
2017
Workshop
2017
Winner
2017
Winners
2016
Workshop
2015
Winners
2015
Power Meter
2015
Sponsors
Contact Us
Address
Yung-Hsiang LuSchool of Electrical and Computer Engineering
Electrical Engineering Building
465 Northwestern Ave
West Lafayette, IN 47907-2035