A Hierarchical Underwater Acoustic Target Recognition Method Based on Transformer and Transfer Learning
Abstract
References
Recommendations
An improved underwater acoustic target recognition method based on ResNet model
CIBDA '24: Proceedings of the 5th International Conference on Computer Information and Big Data ApplicationsUnderwater Acoustic Target Recognition (UATR) is a relatively cutting-edge topic in underwater acoustic research, and ship radiated noise plays an important role in target recognition. Although the ResNet model performs well in this task, it still has ...
Unraveling complex data diversity in underwater acoustic target recognition through convolution-based mixture of experts
AbstractUnderwater acoustic target recognition is a difficult task owing to the intricate nature of underwater acoustic signals. The complex underwater environments, unpredictable transmission channels, and dynamic motion states greatly impact the real-...
Highlights- Revealing the under-explored nature of underwater acoustic signals.
- Design of the convolution-based mixture of experts as a multi-view learner.
- Learning diverse data with multiple independent parameter spaces.
- Optimization ...
Underwater Acoustic Target Recognition Based on ReLU Gated Recurrent Unit
ICRAI '20: Proceedings of the 6th International Conference on Robotics and Artificial IntelligenceIn general, the traditional acoustic models'(e. g. Gaussian mixture model, GMM) for underwater acoustic target recognition (UATR) performance in sequential data has so far been disappointing. In contrast, Recurrent Neural Network (RNN) is a powerful ...
Comments
Information & Contributors
Information
Published In
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
- Stable Supporting Fund of National Key Laboratory of Underwater Acoustic Technology
- National Natural Science Foundation of China
- Fund of Science and Technology on Sonar Laboratory
- Fundamental Research Funds for Central Universities
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 50Total Downloads
- Downloads (Last 12 months)50
- Downloads (Last 6 weeks)8
Other Metrics
Citations
Cited By
View allView Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format