Unified Complementary Learning with Feature Perturbation for Semi-Supervised Learning
Semi-supervised learning has attracted widespread attention due to its ability to utilize both labeled and unlabeled data, leading to significant progress in recent years. Conventional semi-supervised learning approaches often rely on a strategy that combines weak and strong image-level augmentation...
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| Główni autorzy: | , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2026-01-01
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| Seria: | Algorithms |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/1999-4893/19/1/56 |
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