Auxiliary image regularization for deep cNNs with noisy labels

Keyphrases

• Convolutional Neural Network Model 100%
• Noisy Labels 100%
• Deep Convolutional Neural Network (deep CNN) 100%
• Image Regularization 100%
• Cnns 100%
• Image Data 50%
• Training Data 50%
• Learning Process 50%
• Benchmark Dataset 50%
• Training Samples 50%
• Labeled Data 50%
• Contextual Information 50%
• Regularization Method 50%
• Training Image 50%
• Image Classification 50%
• Label Noise 50%
• Alternating Direction multiplier Method 50%
• Real Image 50%
• Labeled Sample 50%
• Comprehensive Experiment 50%
• Mislabeling 50%
• Amateur 50%

Computer Science

• Neural Network Model 100%
• Regularization 100%
• Deep Convolutional Neural Networks 66%
• Convolutional Neural Network 66%
• Learning Process 33%
• Image Classification 33%
• Alternating Direction Method of Multipliers 33%
• Labeled Data Set 33%
• Context Information 33%
• Training Data 33%
• Training Sample 33%
• Training Image 33%

Chemical Engineering

• Auxiliaries 100%
• Neural Network 100%