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2023 Low-Power Computer Vision Challenge (LPCVC) Summary

11 March 2024
Leo Chen
Benjamin Boardley
Ping Hu
Yiru Wang
Yifan Pu
Xin Jin
Yongqiang Yao
Ruihao Gong
Bo Li
Gao Huang
Xianglong Liu
Zifu Wan
Xinwang Chen
Ning Liu
Ziyi Zhang
Dongping Liu
Ruijie Shan
Zhengping Che
Fachao Zhang
Xiaofeng Mou
Jian Tang
Maxim Chuprov
I. Malofeev
A. Goncharenko
Andrey Shcherbin
Arseny Yanchenko
S. Alyamkin
Xiaowei Hu
George K. Thiruvathukal
Yu Lu
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Abstract

This article describes the 2023 IEEE Low-Power Computer Vision Challenge (LPCVC). Since 2015, LPCVC has been an international competition devoted to tackling the challenge of computer vision (CV) on edge devices. Most CV researchers focus on improving accuracy, at the expense of ever-growing sizes of machine models. LPCVC balances accuracy with resource requirements. Winners must achieve high accuracy with short execution time when their CV solutions run on an embedded device, such as Raspberry PI or Nvidia Jetson Nano. The vision problem for 2023 LPCVC is segmentation of images acquired by Unmanned Aerial Vehicles (UAVs, also called drones) after disasters. The 2023 LPCVC attracted 60 international teams that submitted 676 solutions during the submission window of one month. This article explains the setup of the competition and highlights the winners' methods that improve accuracy and shorten execution time.

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