Cross-Domain Contrastive Learning-Based Few-Shot Underwater Acoustic Target Recognition
Underwater Acoustic Target Recognition (UATR) plays a crucial role in underwater detection devices.However, due to the difficulty and high cost of collecting data in the underwater environment, UATR still faces the problem of small datasets.Few-shot learning (FSL) addresses this challenge through techniques such as Siamese networks and prototypical