Polar Transformer Networks

Understand

Convolutional neural networks (CNNs) are inherently equivariant to translation.

• Efforts to embed other forms of equivariance have concentrated solely on rotation.
• We expand the notion of equivariance in CNNs through the Polar Transformer Network (PTN).
• PTN combines ideas from the Spatial Transformer Network (STN) and canonical coordinate representations.