Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment

Computer Science

• Image Quality Assessment 100%
• Deep Neural Network 60%
• Baseline Model 40%
• Annotation 20%
• High Correlation 20%
• Learning Scheme 20%
• Reference Image 20%
• Active Learning 20%
• Laboratory Environment 20%
• quality model 20%
• Generalizability 20%
• Distorted Image 20%