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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| Main Authors: | Jorge K. S. Kamassury, Henrique Pickler, Filipe R. Cordeiro, Danilo Silva |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10912480/ |
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