Data augmentation is commonly used to increase the size and diversity of the datasets in machine learning. It is of particular importance to evaluate the robustness of the existing machine learning me
The emerging field of geometric deep learning extends the application of convolutional neural networks into irregular domains such as graphs, meshes and surfaces. Several recent studies have explored