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X. Li

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Open access Aug 2026

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.

X. Li, X.-L. Tang, H.-Y. Shi · 0 citations

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