Surface Defect Detection of Industrial Parts Based on YOLOv5
Author:
Affiliation:
1. Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China
2. College of Urban Rail Transit and Logistics, Beijing Union University, Beijing, China
Funder
Science and Technology Program of Beijing Municipal Education Commission
key Program of Beijing Union University for Educational Reform
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09982473.pdf?arnumber=9982473
Reference34 articles.
1. Object Detection With Deep Learning: A Review
2. Real-Time Tiny Part Defect Detection System in Manufacturing Using Deep Learning
3. TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
4. ImageNet classification with deep convolutional neural networks;krizhevsky;Commun ACM,2012
5. Regionlets for Generic Object Detection
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