ETDNet: Efficient Transformer-Based Detection Network for Surface Defect Detection

Engineering

• Deep Learning 33%
• Defect Detection 100%
• Defects 100%
• Inherent Characteristic 33%
• Modulated Channel 33%
• Product Quality 33%
• Scale Variation 33%
• Similarities 33%
• Surface Defect 100%
• Tasks 100%

Computer Science

• Attention (Machine Learning) 33%
• Classification Task 33%
• Critical Information 33%
• Deep Learning 33%
• Global Feature 100%
• Inspection Process 33%
• local feature 66%
• Product Quality 33%
• Regression Task 33%
• Shape Variation 33%
• Superior Performance 33%
• Vision Transformer 33%

Chemical Engineering

• Deep Learning 100%