Modern deep neural networks can easily overfit to biased training data containing corrupted labels or class imbalance. Sample re-weighting methods are popularly used to alleviate this data bias issue.

With the rapid development of computer vision technology, image recognition, as one of its core tasks, plays an important role in several industries. However, traditional image recognition methods ...