2025
A Progressive Local Variance-guided Strategy for Improving Data Augmentation Reliability
ICASSP 2025accepted
Recently, CutMix-based augmentation has emerged as a promising strategy for providing regularization to deep neural networks. However, the randomness in cropping may result in uninformative or non-representative regions being selected, resulting in a synthesized image without the desired features. T…