DFT-based transformation invariant pooling layer for visual classification

Physics

• Density Functional Theory 100%
• Networks 25%
• Shapes 16%
• Magnitude 16%
• Theorems 8%
• Information 8%
• Images 8%
• Differences 8%
• Misalignment 8%
• Output 8%

Computer Science

• Networks 25%
• Fourier Transform 16%
• Experimental Result 8%
• Classification 8%
• Classification Performance 8%
• Invariants 8%
• Classification Task 8%
• Classification Accuracy 8%
• Average Pooling 8%
• Convolution Layer 8%
• Transformations 8%
• Residual Neural Network 8%