Bi-Sphere Anomaly Detection With Learnable Centroid for Active Sonar Classification
Author:
Affiliation:
1. Department of Ocean Systems Engineering, Sejong University, Seoul, Republic of Korea
2. Department of Defense Systems Engineering, Sejong University, Seoul, Republic of Korea
Funder
Korea Research Institute of Ships and Ocean Engineering
National Research Foundation of Korea (NRF), South Korea
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09976054.pdf?arnumber=9976054
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4. Anomaly-based manipulation detection in satellite images;horváth;Networks,2019
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1. Comprehensive analysis of deep learning-based target classifiers in small and imbalanced active sonar datasets;J ACOUST SOC KOREA;2023
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