Power Adapter Appearance Defect Detection Based on Task Feature Decoupling YOLOv8n
Author:
Affiliation:
1. School of Advanced Manufacturing Engineering, Hefei University, Hefei, Anhui, China
Funder
University Natural Sciences Research Project of Anhui Province
Anhui Provincial New Era Education Quality Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10506925.pdf?arnumber=10506925
Reference42 articles.
1. Metal Surface Defect Detection System Based on Semiconductor Laser and Infrared Thermal Imaging
2. Visual Detection of AM Surface Defects Based on Laser Ultrasound Technology
3. Review: Application of Convolutional Neural Network in Defect Detection of 3C Products
4. Histograms of Oriented Gradients for Human Detection
5. Distinctive Image Features from Scale-Invariant Keypoints
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1. QRNet: Query-based reparameterization net for real-time detection of power adapter surface defects;Measurement;2025-01
2. Research on the Method of Foreign Object Detection for Railway Tracks Based on Deep Learning;Sensors;2024-07-11
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