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RHCrackNet:Refined Hierarchical Feature Fusion and Enhancement Network for Pixel-Level Pavement Anomaly Detection

Wenjing Liu Zhenhua Li Ji Wang Qingjie Lu

大数据挖掘与分析（英文版）2025，Vol.8Issue(4)：880-896,17.

大数据挖掘与分析（英文版）2025，Vol.8Issue(4)：880-896,17.DOI:10.26599/BDMA.2024.9020051

RHCrackNet:Refined Hierarchical Feature Fusion and Enhancement Network for Pixel-Level Pavement Anomaly Detection

Wenjing Liu ¹Zhenhua Li ¹Ji Wang ¹Qingjie Lu¹

作者信息

1. Department of Electronic Engineering,College of Electronic & Information Engineering,Guangdong Ocean University,Zhanjiang 524088,China
折叠

摘要

关键词

Convolutional Neural Network(CNN)/anomaly detection/feature fusion/feature enhancement/non-local attention

Key words

Convolutional Neural Network(CNN)/anomaly detection/feature fusion/feature enhancement/non-local attention

引用本文复制引用

Wenjing Liu,Zhenhua Li,Ji Wang,Qingjie Lu..RHCrackNet:Refined Hierarchical Feature Fusion and Enhancement Network for Pixel-Level Pavement Anomaly Detection[J].大数据挖掘与分析（英文版）,2025,8(4):880-896,17.

基金项目

This work was supported by the Key R&D Plan of Shanxi Province(No.2023-ZDLGY-15),the GuangDong Basic and Applied Basic Research Foundation(No.2023A1515110770),the Ocean Youth Talent Innovation Project of Zhanjiang(No.2023E0010),the Non-funded Science and Technology Research Project of Zhanjiang(No.2024B01051),and the Program for Scientific Research Start-up Funds of Guangdong Ocean University(Nos.060302112319 and 060302112309). （No.2023-ZDLGY-15）

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