# 2018 Low-Power Image Recognition Challenge

arXiv: https://arxiv.org/abs/1810.01732 · HTML: https://mlsanity.com/paper/1810.01732/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 3 Oct 2018.

## Built on by (most cited first, 1 of 1)

- [Introduction of a tree-based technique for efficient and real-time label retrieval in the object tracking system](https://mlsanity.com/paper/2205.15477/) (2022)

## Abstract (arXiv)

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.