2018 Low-Power Image Recognition Challenge

10/03/2018
by   Sergei Alyamkin, et al.
6

The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcomputing.ieee.org/lpirc) is an annual competition started in 2015. The competition identifies the best technologies that can classify and detect objects in images efficiently (short execution time and low energy consumption) and accurately (high precision). Over the four years, the winners' scores have improved more than 24 times. As computer vision is widely used in many battery-powered systems (such as drones and mobile phones), the need for low-power computer vision will become increasingly important. This paper summarizes LPIRC 2018 by describing the three different tracks and the winners' solutions.

READ FULL TEXT

page 3

page 4

research
04/15/2019

Low-Power Computer Vision: Status, Challenges, Opportunities

Computer vision has achieved impressive progress in recent years. Meanwh...
research
03/12/2019

Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution

The IEEE Low-Power Image Recognition Challenge (LPIRC) is an annual comp...
research
04/09/2021

Rock Hunting With Martian Machine Vision

The Mars Perseverance rover applies computer vision for navigation and h...
research
10/14/2019

TCD-NPE: A Re-configurable and Efficient Neural Processing Engine, Powered by Novel Temporal-Carry-deferring MACs

In this paper, we first propose the design of Temporal-Carry-deferring M...
research
12/24/2015

Hardware Architecture for Large Parallel Array of Random Feature Extractors applied to Image Recognition

We demonstrate a low-power and compact hardware implementation of Random...
research
12/30/2021

Comparing different solutions for testing resistive defects in low-power SRAMs

Low-power SRAM architectures are especially sensitive to many types of d...
research
11/29/2017

Now Playing: Continuous low-power music recognition

Existing music recognition applications require a connection to a server...

Please sign up or login with your details

Forgot password? Click here to reset