YOLO-RFF: An Industrial Defect Detection Method Based on Expanded Field of Feeling and Feature Fusion

YOLO-RFF: An Industrial Defect Detection Method Based on Expanded Field of Feeling and Feature Fusion

Aiming at the problems of low efficiency, high false detection rate, and poor real-time performance of current industrial defect detection methods, this paper proposes an industrial defect detection method based on an expanded perceptual field and feature fusion for practical industrial applications...

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Bibliographic Details
Main Authors: Gang Li, Shilong Zhao, Mingle Zhou, Min Li, Rui Shao, Zekai Zhang, Delong Han
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Electronics
Subjects:
industrial defect detection
perceptual field
dense multiscale weighted feature fusion
MECA attention
ASPF module
Online Access:https://www.mdpi.com/2079-9292/11/24/4211

Internet

https://www.mdpi.com/2079-9292/11/24/4211

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