UDAS: A unified differentiable architecture search framework for designing efficient spiking neural networks (SNNs) on resource-constrained edge platforms. It jointly optimizes network topology, quantization, and temporal dynamics, enabling real-time remote sensing inference with high accuracy and extremely low computational cost.

The code is comming soon.