CCT: A Cyclic Co-Teaching Approach to Train Deep Neural Networks With Noisy Labels

The detrimental impact of noisy labels on the generalization performance of deep neural networks has sparked research interest in learning with noisy labels (LNL). Among the various methods proposed to mitigate this effect, the Co-Teaching method, characterized by co-training with the small-loss cri...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Jorge K. S. Kamassury, Henrique Pickler, Filipe R. Cordeiro, Danilo Silva
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Co-teaching deep neural networks cyclic training cyclic sample retention rate learning with noisy labels
Online Access:	https://ieeexplore.ieee.org/document/10912480/