SoREL: Soft-Label Refurbishment with Ensemble Learning for Noisy Long-Tailed Classification
The proposed Soft-label Refurbishment with Ensemble Learning (SoREL), a two-stage framework that jointly handles label noise and class imbalance, and refurbished soft labels guide multi-expert ensemble learning, where experts specialize in many, medium, and few-shot classes.
Jun-Wei Hsieh, Ying-Hsuan Wu, Yi-Kuan Hsieh et al.
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