What question did this study set out to answer?

The central aim was to develop a network that enhances visual defect detection using edge prior knowledge.

February 25, 2026Open Access

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

Key Points

The central aim was to develop a network that enhances visual defect detection using edge prior knowledge.
Real-time implementation of a three-branch network architecture.
Integration of edge prior knowledge for improved defect identification.
Analysis of visual defect detection performance metrics.
Correction of author affiliation is noted without changes to findings.
Research potentially enhances accuracy in detecting visual defects in robotics.

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.

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

Key Points

Abstract

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