Example 4.2 Rotation Symmetry 4.2.1 Rotation Symmetries 4.2.2 Rotation and Scaling Symmetries 4.2.3 Internal Parameters for Rotation Symmetries 4.2.4 Rotation Examples in PolyNet 4. We will study the linear scaling symmetry in this section.
Character recognition is another example, which has linear scaling symmetry.
PolyNet supports only linear scaling. The nonlinear scaling can be ordered as a customized version. The scaling symmetry is very powerful and reduces the training data drastically, however, the scaling symmetries are computationally expensive, i.e., it requires a complicated internal structure. As a result, it significantly slows down the training and recognition speed. The scaling symmetries are also sensitive to the internal parameters.