Based on Faster-RCNN for mobile phone packaging box defect detection
Author:
Affiliation:
1. Beijing Institute of Graphic Communication,Department of Mechanical and Electrical Engineering,Beijing,China
2. Beijing Institute of Petrochemical Technology,Department of Information Engineering,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10211117/10212989/10213193.pdf?arnumber=10213193
Reference10 articles.
1. Surface defect detection method of ceramic bowl based on Kirsch and Canny operator;guo;Acta Optica Sinica,2016
2. Research on machine vision based industrial product surface defect detection algorithm;zhao;Computer Applications and Software,2012
3. A fast and robust convolutional neural network-based defect detection model in product quality control
4. A Fast-RCNN Implementation for Human Silhouette Detection in Video Sequences
5. Rethinking the Inception Architecture for Computer Vision
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