Cyclic Learning Rate-Based Co-Training for Image Classification With Noisy Labels
Deep learning has excelled in image classification, but noisy labels in large datasets pose a significant challenge, impacting performance and generalization. To tackle this, we propose a novel co-training method using cyclic learning rates. This method trains two networks simultaneously, each selec...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10829578/ |
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