14、Spike Neural Shape Classification in Videos

基于脉冲神经网络的视频形状分类

linux6sysadmin

于 2025-05-25 16:10:47 发布

阅读量88

点赞数

CC 4.0 BY-SA版权

分类专栏：数字图像的计算几何与拓扑应用文章标签： Spike Neural Networks Shape Classification Video Processing

本文链接：https://blog.youkuaiyun.com/linux6sysadmin/article/details/148986340

数字图像的计算几何与拓扑应用专栏收录该内容

49 篇文章 ¥499.90

订阅专栏¥69.90

会员秒杀 ¥9.9 重磅福利

超级会员免费看

Spike Neural Shape Classification in Videos

1 Introduction to Spike Neural Networks

Spike Neural Networks (SNNs) represent a class of neural networks designed to mimic the behavior of biological neurons. Unlike traditional artificial neural networks that process continuous signals, SNNs operate on discrete events called spikes. These spikes occur at specific times and carry information about the input stimuli. The timing of spikes plays a crucial role in how information is processed within the network.

In the context of video processing, SNNs offer several advantages. They can handle temporal information effectively, making them suitable for tasks like object detection, tracking, and shape classification in dynamic scenes. Additionally, SNNs are energy-eff