Transformationally Identical and Invariant Convolutional Neural Networks through Symmetric Element Operators

no code implementations • 10 Jun 2018 • Shih Chung B. Lo, Matthew T. Freedman, Seong K. Mun, Shuo Gu

We further found that any CNN possessing the same TI kernel property for all convolution layers followed by a flatten layer with weight sharing among their transformation corresponding elements would output the same result for all transformation versions of the original input vector.

Data Augmentation