Particleboard Surface Defect Inspection Based on Data Augmentation and Attention Mechanisms

Mathematics

• Defect Inspection 100%
• Surface Defects 91%
• Data Augmentation 64%
• Defects 48%
• Training 38%
• Inspection 26%
• Transfer Learning 22%
• Feature Extraction 18%
• Optimization Model 15%
• Hardware 14%
• Network Model 13%
• Fusion 13%
• Vision 12%
• Experimental Results 12%
• Learning 10%
• Background 10%
• Siméon Denis Poisson 9%
• Optimization 9%
• Module 8%
• Performance 7%

Business & Economics

• Data Augmentation 74%
• Defects 47%
• Inspection 47%
• Feature Extraction 10%
• Transfer Learning 10%
• Deep Learning 9%
• Fusion 8%
• Module 7%
• Network Model 6%
• Hardware 6%
• Optimization Model 6%
• Train 6%
• Performance 2%

Engineering & Materials Science

• Surface defects 58%
• Inspection 36%
• Defects 33%
• Transfer learning 14%
• Deep learning 10%
• Fusion reactions 9%
• Feature extraction 9%
• Computer hardware 7%