Structure-Aware Data Augmentation with Granular-ball Guided Masking

This research explores a novel data augmentation technique focused on structure-aware masking, which is a key component for improving model robustness and performance. The use of granular balls for guiding the masking process introduces an innovative approach to preserving relevant structural information during data augmentation.