A biologically inspired separable learning vision model for real-time traffic object perception in Dark

Fast and accurate object perception in low-light traffic scenes has attracted increasing attention. However, due to severe illumination degradation and the lack of reliable visual cues, existing perception models and methods struggle to quickly adapt to and accurately predict in low-light environmen...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 297; p. 129529
Main Authors:	Li, Hulin, Ren, Qiliang, Li, Jun, Wei, Hanbing, Liu, Zheng, Fan, Linfang
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.02.2026
Subjects:	Bio-inspired vision Deep learning Instance segmentation Low-light traffic Object detection Deep learning Instance segmentation Bio-inspired vision Low-light traffic Object detection
ISSN:	0957-4174
Online Access:	Get full text
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