Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels

The problem of learning from long-tailed noisy data, referred to as Long-Tailed Noisy Label Learning (LTNLL), presents significant challenges in deep learning. LTNLL datasets are typically affected by two primary issues: