CLANE：基于事件相机在神经形态硬件上的连续动作学习

Elvin Hajizada, Michael Neumeier, Edward Paxon Frady, Yulia Sandamirskaya, Axel von Arnim, Bing Li, Eyke Hüllermeier

2026

摘要

该论文提出了CLANE系统，首次在神经形态硬件（Intel Loihi 2）上实现了基于事件相机的连续动作学习，结合脉冲神经网络和新型硬件模块。实验表明，该系统在50类动作识别任务中达到70.4%的准确率，同时相比边缘GPU基线实现了超过100倍的能耗降低和16倍延迟减少。

continual learningneuromorphic hardwareevent camerasaction recognitionspiking neural networks

LEARNING

开放获取📊 1 引用

Keyi Shen, Glen Chou

2026

LEARNING

📊 0 引用

Xiwei Wu, Wei Wu, Qiqi Chen 等 9 位作者

Robotics and Computer-Integrated Manufacturing · 2026

LEARNING

📊 0 引用

Hedi Boukamcha, Anas Neumann, Monia Rekik 等 6 位作者

Robotics and Computer-Integrated Manufacturing · 2026

LEARNING

📊 0 引用

Jiaxin Liu, Xiaofeng Zhou, Suyang Yu 等 8 位作者

Robotics and Computer-Integrated Manufacturing · 2026