Data Party THU

Sep 7, 2025 · Artificial Intelligence

Tackling Imbalanced Data: MixUp, CutMix, and Focal Loss Explained

This article examines the challenges of imbalanced datasets in machine learning, especially in fields like medical imaging, and provides a detailed analysis of three key techniques—MixUp data mixing, CutMix region replacement, and the Focal Loss function—along with their implementations, advantages, limitations, and practical integration strategies.