"UATR-MSG-Transformer: A Deep Learning Network for Underwater Acoustic ..."

Hao Zhou et al. (2023)

> Home

Details and statistics

DOI: 10.1145/3604078.3604096

access: closed

type: Conference or Workshop Paper

metadata version: 2025-08-27

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icdip/ZhouWLWT23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icdip/ZhouWLWT23
Hao Zhou, Xuening Wang, Peishun Liu, Liang Wang, Ruichun Tang:
UATR-MSG-Transformer: A Deep Learning Network for Underwater Acoustic Target Recognition Based on Spectrogram Feature Fusion and Transformer with Messenger Tokens. ICDIP 2023: 18:1-18:9

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.