Joint scalable quantum convolutional neural network and reverse fidelity training for high-accurate recognition in unmanned aerial vehicle surveillance

In the context of UAV surveillance systems, the sQCNN and RF-train framework offer a lightweight, high-performance approach that is specifically optimized for UAV applications, ensuring efficient operation under demanding conditions.