MLAN: Multi-Level Attention Network

MLAN: Multi-Level Attention Network

In this paper, we proposed a “Multi-Level Attention Network” (MLAN), which defines a multi-level structure, including layer, block, and group levels to get hierarchical attention and combines corresponding residual information for better feature extraction. We also constructed...

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Bibliographic Details
Main Authors: Qinxuan Wang, Peinuan Qin, Yue Zhang, Xueyao Wei, Meiguo Gao
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Multi-level structure
shared mask attention
hierarchical attention aggregation
information fusion
Online Access:https://ieeexplore.ieee.org/document/9905593/

Internet

https://ieeexplore.ieee.org/document/9905593/

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