An attention mechanism network based on the winner-take-all-Reference-Cited by-同舟云学术

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An attention mechanism network based on the winner-take-all

Published:2024-11 Issue: Volume:154 Page:104660
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Li Hailiang^ORCID,Zhang Shiyuan,Ma Dexin,Mo Weike^ORCID

Funder

Guangzhou Municipal Science and Technology Bureau

Publisher

Elsevier BV

Reference46 articles.

1. Show, attend and tell: neural image caption generation with visual attention;Xu,2015

2. Adaptive dropout method based on biological principles;Li;IEEE Trans. Neural Netw. Learn. Syst.,2021

3. Eye movements in natural behavior;Hayhoe;Trends Cogn. Sci.,2005

4. Unsupervised monocular depth estimation with channel and spatial attention;Wang;IEEE Trans. Neural Netw. Learn. Syst.,2022

5. A spatial–channel–temporal-fused attention for spiking neural networks;Cai;IEEE Trans. Neural Netw. Learn. Syst.,2023

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