Attention-Guided Dynamic Re-Parameterization for Enhancing Multi-Scale Feature Fusion in Convolutional Neural Networks

Deep learning has become an indispensable tool in computer vision, enabling unprecedented performance in tasks such as classification, object detection and semantic segmentation. As advances in imaging technologies drive growth in the volume and complexity of visual data, there is an increasing dema...

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Hlavní autoři: Shuqin Wang, Yuxin Wang, He Zhang, Shiyan Li, Alicia Petrany, Yong Chen
Médium: Artigo
Jazyk:Inglês
Vydáno: IEEE 2025-01-01
Edice:IEEE Access
Témata:
Attention mechanism
convolutional neural networks
multi-scale feature fusion
structural re-parameterization
On-line přístup:https://ieeexplore.ieee.org/document/11219017/
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