Abstract: Spiking neural network (SNN) excels in processing temporal information and conserving energy, particularly when deployed on neuromorphic hardware. These strengths position SNN as an ideal ...
Abstract: This work tackles the challenge of 3D Class-Incremental Learning (CIL), where a model must learn to classify new 3D objects while retaining knowledge of previously learned classes. Existing ...