通过运动和特征通路的神经元间协调实现复杂动态视觉场景中的隐蔽检测

IF 6.8 Q1 AUTOMATION & CONTROL SYSTEMS Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-09-25 DOI:10.1002/aisy.202470041

Bo Gu, Jianfeng Feng, Zhuoyi Song

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摘要

复杂动态视觉场景中的隐现检测一种新颖的苍蝇启发神经网络在神经动力学融合的动态环境中释放出令人难以置信的增强隐现检测性能，突出了运动和特征信号的神奇协调如何有助于减少干扰。更多详情，请参阅顾博、冯建峰和宋卓一撰写的第 2400198 号文章。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Looming Detection in Complex Dynamic Visual Scenes by Interneuronal Coordination of Motion and Feature Pathways

Looming Detection in Complex Dynamic Visual Scenes

A novel fly-inspired neural network unleashes an incredibly enhanced looming detection performance in dynamic environments with converged neuro-dynamics, highlighting how the magic coordination of motion and feature signals helps reduce interference. For further details, see article number 2400198 by Bo Gu, Jianfeng Feng, and Zhuoyi Song.

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