Mixup Mask Adaptation: Bridging the gap between input saliency and representations via attention mechanism in feature mixup

Computer Science

• Attention (Machine Learning) 100%
• Salient Region 50%
• Performance Gain 50%
• Regularization 50%
• Performance Improvement 50%
• Deep Neural Network 50%
• Data Augmentation 50%
• Inherent Complexity 50%

Engineering

• Bridging 100%
• Input Level 100%
• Level Feature 66%
• Regularization 33%
• Performance Improvement 33%
• Input Image 33%
• Deep Layer 33%
• Deep Neural Network 33%

Keyphrases

• Hard Boundary 42%
• Spatial Significance 14%