Augmenting DenseNet: Leveraging Multi-Scale Skip Connections for Effective Early-Layer Information Incorporation
The proliferation of Convolutional Neural Network-based applications in recent years has necessitated the development of effective strategies for information and gradient flow within a network. As networks become deeper, it has been observed that later layers often experience a loss of information f...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2024-01-01
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| coleção: | IEEE Access |
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| Acesso em linha: | https://ieeexplore.ieee.org/document/10680537/ |
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