3D steerable CNNs: Learning rotationally equivariant features in volumetric data

Mathematics

• Equivariant 100%
• Convolutional Neural Network 100%
• Convolution 50%
• Linear Combination 16%
• Euclidean Space 16%
• Vector Field 16%
• Rigid Body 16%
• Linear Map 16%

Keyphrases

• Equivariant Convolution 100%
• Scalar-tensor 33%
• Amino Acid Propensity 33%
• Prediction Structure 33%
• Steering Kernel 33%