Eungyeup Kim

Learning Debiased Representation via Disentangled Feature Augmentation

2021 · arXiv (Cornell University)

Image classification models tend to make decisions based on peripheral attributes of data items that have strong correlation with a target variable (i.e., dataset bias). These biased models suffer from the poor generalization capability when …