Accurate and Efficient Event-Based Semantic Segmentation Using Adaptive Spiking Encoder–Decoder Network
Accurate and Efficient Event-Based Semantic Segmentation Using Adaptive Spiking Encoder–Decoder Network
Spiking neural networks (SNNs), known for their low-power, event-driven computation, and intrinsic temporal dynamics, are emerging as promising solutions for processing dynamic, asynchronous signals from event-based sensors. Despite their potential, SNNs face challenges in training and architectural design, resulting in limited performance in challenging event-based dense prediction tasks compared with …