X. Li

A Generative Adversarial Network-Based Method for Intelligent Detection of Military Targets with Few Training Samples for Embedded Edge Devices

A generative adversarial network (GAN) based few-shot military target detection is presented, and results demonstrate that the method effectively balances few-shot detection accuracy, robustness in complex environments, and real-time inference requirements on embedded edge devices.