Multi-Sample $ζ$-mixup: Richer, More Realistic Synthetic Samples from a $p$-Series Interpolant

no code implementations • 7 Apr 2022 • Kumar Abhishek, Colin J. Brown, Ghassan Hamarneh

Modern deep learning training procedures rely on model regularization techniques such as data augmentation methods, which generate training samples that increase the diversity of data and richness of label information.

Data Augmentation Image Classification +1