Tag: data augmentation

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features (ICCV 2019 Oral)

Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo arXiv GitHub Why Data Augmentation is Needed Given the limited set of data, one can train the model by applying variations to the existing image. Such modification to the image increases the overall size of the dataset, thereby contributing to the model’s […]