Automatic Recognition of Tunnel Water Leakage Based on Adaptive Information Extraction Network and Multiscale Feature Enhancement Module

Automatic Recognition of Tunnel Water Leakage Based on Adaptive Information Extraction Network and Multiscale Feature Enhancement Module

Water leakage in metro tunnels is a critical safety indicator, necessitating regular inspections to avert catastrophic failures. Deep learning-based computer vision is currently utilized to detect water leakage in metro tunnels. However, challenges like large model parameters, low detection accuracy...

Full description

Saved in:
Bibliographic Details
Main Authors: Dandan Wang, Gongyu Hou, Qinhuang Chen, Weiyi Li, Haoxiang Li, Yaohua Shao, Xunan Yu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep learning
lightweight
semantic segmentation
tunnel water leakage
Online Access:https://ieeexplore.ieee.org/document/10804770/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10804770/

Similar Items