Feature Map Augmentation to Improve Rotation Invariance in Convolutional Neural Networks

Keyphrases

• Convolutional Neural Network 100%
• Feature Map Enhancement 100%
• Rotation Invariance 100%
• Data Augmentation 40%
• Computer Vision System 40%
• Transformer Layer 40%
• Popular 20%
• Feature Classification 20%
• Active Area 20%
• Computation Cost 20%
• Object Detection 20%
• Occlusion 20%
• System Objects 20%
• MNIST 20%
• Computer Algorithm 20%
• Good Accuracy 20%
• Transformer 20%
• Feature Map 20%
• Rotation Transformation 20%
• Convolutional Layer 20%
• Feature Extraction Tool 20%
• Recognize Objects 20%
• Classification Layer 20%
• Rotation Parameter 20%
• Computer Vision Algorithms 20%
• Scaling Distortion 20%
• Biological Vision System 20%
• CIFAR10 Dataset 20%

Computer Science

• Convolutional Neural Network 100%
• Feature Map 100%
• Vision System 75%
• Data Augmentation 50%
• Feature Extraction 25%
• Computation Cost 25%
• Rotation Invariant 25%
• Biological Vision 25%
• Computer Vision Algorithms 25%
• Convolution Layer 25%