"Summary of the 2022 Low-Power Deep Learning Semantic Segmentation Model ..."

Yu-Shu Ni et al. (2022)

> Home

Details and statistics

DOI: 10.1109/ICMEW56448.2022.9859367

access: closed

type: Conference or Workshop Paper

metadata version: 2022-08-31

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icmcs/NiTCCKLCHHKHG22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icmcs/NiTCCKLCHHKHG22
Yu-Shu Ni, Chia-Chi Tsai, Chih-Cheng Chen, Po-Yu Chen, Hsien-Kai Kuo, Man-Yu Lee, Kuo Chin-Chuan, Zhe-Ln Hu, Po-Chi Hu, Ted T. Kuo, Jenq-Neng Hwang, Jiun-In Guo:
Summary of the 2022 Low-Power Deep Learning Semantic Segmentation Model Compression Competition for Traffic Scene In Asian Countries. ICME Workshops 2022: 1-6

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.