Joint Semantic Deep Learning Algorithm for Object Detection under Foggy Road Conditions

Current mainstream deep learning methods for object detection are generally trained on high-quality datasets, which might have inferior performances under bad weather conditions. In the paper, a joint semantic deep learning algorithm is proposed to address object detection under foggy road condition...

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Bibliographic Details
Main Authors: Mingdi Hu, Yixuan Li, Jiulun Fan, Bingyi Jing
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/10/23/4526