A two-network deep learning system for active sonar, separating angle estimation from distance estimation, beats classical beamforming and spectrogram classifiers on simulated data.
Transformers dis- pense with recurrence and convolutions in favor of self– attention, which allows for global context aggregation at every layer
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Angle-distance decomposition based on deep learning for active sonar detection
A two-network deep learning system for active sonar, separating angle estimation from distance estimation, beats classical beamforming and spectrogram classifiers on simulated data.