Large Kernel Sparse ConvNet Weighted by Multi-Frequency Attention for Remote Sensing Scene Understanding

Computer Science

• Convolutional Neural Network 100%
• Average Pooling 100%
• Convolutional Layer 100%
• Scene Understanding 100%
• Receptive Field 50%
• Learning Ability 50%
• Recognition Result 50%
• Remote Sensing Data 50%
• Optimization Strategy 50%
• Feature Recognition 50%
• Effective Information 50%