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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Shaikh Abdus Samad, J. Gitanjali
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2024-01-01
Sarja:	IEEE Access
Aiheet:	DenseNet feature reusability multi-scale object recognition optimized CNN skip connections
Linkit:	https://ieeexplore.ieee.org/document/10680537/
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