A Hierarchical Underwater Acoustic Target Recognition Method Based on Transformer and Transfer Learning-Reference-Cited by-同舟云学术

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A Hierarchical Underwater Acoustic Target Recognition Method Based on Transformer and Transfer Learning

Published:2024-03-14 Issue: Volume: Page:16-24
ISSN:
Container-title:2024 6th International Conference on Image, Video and Signal Processing
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Author:

Chen Lu¹^ORCID,Luo Xinwei¹^ORCID,Zhou Hanlu¹^ORCID

Affiliation:

1. Key Laboratory of Underwater Acoustic Signal Processing (Southeast University), Ministry of Education, China

Funder

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

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3655755.3655758

Reference38 articles.

1. Robert J.Urick. 1983. Principles of underwater sound. McGraw-Hill Book Company.

2. Acoustic detection of biosonar activity of deep diving odontocetes at Josephine Seamount High Seas Marine Protected Area

3. Recognition of ships based on vector sensor and bidirectional long short-term memory networks

4. Christoph Molnar Giuseppe Casalicchio and Bernd Bischl. 2020. Interpretable Machine Learning – A Brief History State-of-the-Art and Challenges. In ECML PKDD 2020 Workshops Irena Koprinska Michael Kamp Annalisa Appice Corrado Loglisci Luiza Antonie Albrecht Zimmermann Riccardo Guidotti Özlem Özgöbek Rita P. Ribeiro Ricard Gavaldà João Gama Linara Adilova Yamuna Krishnamurthy Pedro M. Ferreira Donato Malerba Ibéria Medeiros Michelangelo Ceci Giuseppe Manco Elio Masciari Zbigniew W. Ras Peter Christen Eirini Ntoutsi Erich Schubert Arthur Zimek Anna Monreale Przemyslaw Biecek Salvatore Rinzivillo Benjamin Kille Andreas Lommatzsch and Jon Atle Gulla (eds.). Springer International Publishing Cham 417–431. https://doi.org/10.1007/978-3-030-65965-3_28

5. Sherin B. M. and Supriya M. H. 2015. Selection and parameter optimization of SVM kernel function for underwater target classification. In 2015 IEEE Underwater Technology (UT) 1–5. https://doi.org/10.1109/UT.2015.7108260

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