Corrigendum: A real-time three-branch network fusing edge prior knowledge for visual defect detection

It has come to the attention of the publisher that the article, Huang, Z., Ma, G. and Liu, Y. (2026), “A real-time three-branch network fusing edge prior knowledge for visual defect detection”, Robotic Intelligence and Automation, Vol. 46 No. 1, pp. 106-116. Link to the cited article, incorrectly listed author Ma’s affiliation.This has now been amended from School of Automation Science and Engineering, Guangzhou University, Guangzhou, China to School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, China.The publisher asks that affiliation information be submitted correctly at submission and confirmed at article proofing stage.

Publication Details

Journal
Robotic Intelligence and Automation
Published
2026-02-23
DOI
https://doi.org/10.1108/ria-02-2026-0079
Primary Topic
Advanced Neural Network Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Corrigendum: A real-time three-branch network fusing edge prior knowledge for visual defect detection

Robotic Intelligence and Automation
Advanced Neural Network Applications
article

Corrigendum: A real-time three-branch network fusing edge prior knowledge for visual defect detection

article en

Abstract

It has come to the attention of the publisher that the article, Huang, Z., Ma, G. and Liu, Y. (2026), “A real-time three-branch network fusing edge prior knowledge for visual defect detection”, Robotic Intelligence and Automation, Vol. 46 No. 1, pp. 106-116. Link to the cited article, incorrectly listed author Ma’s affiliation.This has now been amended from School of Automation Science and Engineering, Guangzhou University, Guangzhou, China to School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, China.The publisher asks that affiliation information be submitted correctly at submission and confirmed at article proofing stage.

Robotic Intelligence and AutomationVol. 46(2)
Openalex Percentile: Top 48%
Advanced Neural Network Applications
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