Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes

Shungo Fujii, Yasunori Ishii, Kazuki Kozuka +3

Data augmentation is an essential technique for improving recognition accuracy in object recognition using deep learning. Methods that generate mixed data from multiple data sets,…