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双向动态值SNN用于增强对象检测,具有丰富的尖峰信息

Shaoxing Wu1, Gang Wang2, Yong Song1

  • 1School of Optics and Photonics, Beijing Institute of Technology, Beijing, China.

Frontiers in neuroscience
|October 8, 2025
PubMed
概括

本研究介绍了双向动态值尖端神经网络 (BD-SNN),以提高对象检测的准确性. BD-SNN增强了信息能力,在基准数据集上表现优于现有的方法.

关键词:
RGB和事件的情况.神经形态计算是一种神经形态计算.神经元模型的神经元模型对象检测检测对象检测对象检测尖的神经网络的神经网络.

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