2023 Low-Power Computer Vision Challenge (LPCVC) Summary

Leo Chen, Benjamin Boardley, Ping Hu, Yiru Wang, Yifan Pu +25 more
3/11/2024
cs.CV

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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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Cite this paper

@article{chen2024,
  title  = {2023 Low-Power Computer Vision Challenge (LPCVC) Summary},
  author = {Leo Chen and Benjamin Boardley and Ping Hu and Yiru Wang and Yifan Pu and Xin Jin and Yongqiang Yao and Ruihao Gong and Bo Li and Gao Huang and Xianglong Liu and Zifu Wan and Xinwang Chen and Ning Liu and Ziyi Zhang and Dongping Liu and Ruijie Shan and Zhengping Che and Fachao Zhang and Xiaofeng Mou and Jian Tang and Maxim Chuprov and Ivan Malofeev and Alexander Goncharenko and Andrey Shcherbin and Arseny Yanchenko and Sergey Alyamkin and Xiao Hu and George K. Thiruvathukal and Yung Hsiang Lu},
  year   = {2024},
  eprint = {2403.07153},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2403.07153v1}
}

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