6 citations · 12 across the 3 of their papers we have counts for
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cs.CV2022★ 6 cited
Neighborhood Collective Estimation for Noisy Label Identification and Correction
Jichang Li, Guanbin Li, Feng Liu +1
Learning with noisy labels (LNL) aims at designing strategies to improve model performance and generalization by mitigating the effects of model overfitting to noisy labels. The ke…
cs.CV2022★ 5 cited
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels
Ganlong Zhao, Guanbin Li, Yipeng Qin +2
Deep models trained with noisy labels are prone to over-fitting and struggle in generalization. Most existing solutions are based on an ideal assumption that the label noise is cla…