2023 Low-Power Computer Vision Challenge (LPCVC) Summary
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 Ivan Malofeev Alexander Goncharenko Andrey Shcherbin Arseny Yanchenko Sergey Alyamkin Xiao Hu George K. Thiruvathukal Yung Hsiang Lu
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.