CLANE: Continual Learning of Actions on Neuromorphic Hardware from Event Cameras 事件

CLANE: Continual Learning of Actions on Neuromorphic Hardware from Event Cameras arXiv:2605.28387v1 Announce Type: cross Abstract: Recognizing and continuously learning novel human actions without forgetting prior classes is a requirement for emerging AR/VR and robotics applications. For these applications, both on-device processing and learning are essential for privacy and low-latency adaptation. Event cameras address the efficiency of visual sensing with sparse, asynchronous output that is n