Optimizing ResNet-50 for Multiclass Classification: A Multi-Stage Learning Approach
In this study, we present a multistage learning pipeline that utilizes the ResNet-50 architecture as a static feature extractor for multiclass image classification problems. This methodology integrates transfer learning, data augmentation, and adaptive learning techniques to enhance generalization a...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2025-01-01
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| coleção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/11121145/ |
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