Learning transfer using deep convolutional features for remote sensing image retrieval

Keyphrases

• Transfer Learning 100%
• Deep Convolutional Features 100%
• Remote Sensing Image Retrieval 100%
• Network Model 25%
• High Performance 25%
• Complex Image 25%
• Image Retrieval 25%
• Superior Performance 25%
• Model Performance 25%
• Computer Vision Applications 25%
• Image Features 25%
• Image Representation 25%
• Bilinear Convolutional Neural Network 25%
• Convolutional Layer 25%
• Convolutional Neural Network 25%
• Feature Extractor 25%
• Convolutional Neural Network Architecture 25%
• Deep Neural Network 25%
• Deep Learning Model 25%
• Land Cover Data 25%
• Low-dimensional Features 25%
• Domain-specific Applications 25%
• Bilinear Feature 25%
• Compact Descriptor 25%
• End-to-end Deep Learning 25%
• High-resolution Aerial Imagery 25%
• Depthwise Separable Convolution 25%
• Feature Normalization 25%
• Polynomial Kernel 25%
• Land Use Land Cover 25%
• Geographic Image 25%
• Kernel Projection 25%
• Local Patch 25%

Computer Science

• Image Retrieval 100%
• Transfer Learning 100%
• Remote Sensing Image 100%
• Convolutional Neural Network 40%
• image feature 20%
• Extracted Feature 20%
• Performance Model 20%
• Computer Vision Applications 20%
• Superior Performance 20%
• Neural Network Architecture 20%
• Convolutional Layer 20%
• Deep Neural Network 20%
• Deep Learning Model 20%
• Specific Application Domain 20%
• Projection Kernel 20%
• Feature Normalization 20%
• Image Representation 20%
• Dimensional Feature 20%
• Deep Learning Method 20%