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Abstract: In robotics, spiking neural networks (SNNs) are increasingly recognized for their largely unrealized potential energy efficiency and low latency particularly when implemented on neuromorphic ...

Abstract: Efficient and accurate detection of surface defects on trains is crucial for ensuring train safety. However, the insufficient defect samples and their diverse patterns make defect detection ...