Enhance Visual Recognition Under Adverse Conditions via Deep Networks

Keyphrases

• Visual Recognition 100%
• Adverse Conditions 100%
• Deep Network 100%
• Image Recognition 60%
• Low Contrast 40%
• Video Recognition 40%
• Performance Improvement 20%
• Image Reconstruction 20%
• High Quality Images 20%
• Challenging Problems 20%
• Deep Learning Methods 20%
• Image Acquisition 20%
• Recognition Task 20%
• Transfer Learning Model 20%
• Data Augmentation 20%
• Learning-based Framework 20%
• Training Algorithm 20%
• Deep Neural Network 20%
• Recognition Model 20%
• Recognition Benchmark 20%
• Explainability 20%
• Unsupervised Pre-training 20%
• Quality Distortion 20%
• Aggressive Variant 20%

Engineering

• Adverse Condition 100%
• Performance Improvement 20%
• Image Restoration 20%
• Recognition Model 20%
• Learning Approach 20%
• Transfer Learning 20%
• Image Recognition 20%
• Deep Neural Network 20%
• Deep Learning Method 20%

Chemical Engineering

• Deep Learning Method 100%
• Deep Neural Network 100%