SAGE-Net: Single-layer augmented gated encoder network for efficient multimodal sentiment analysis

doi:10.1016/j.asoc.2025.113665

2025-08-27

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DOI：10.1016/j.asoc.2025.113665

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摘要

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• 显著降低计算复杂度，同时保持表征能力。 • 通过高效的交叉注意力增强多模态互补性和适应性。 • 引导轻量级多模态网络的融合策略选择。

Keyword:

computational complexity

multimodal complementarity

cross-attention

fusion strategy

lightweight networks

期刊

Applied Soft Computing

IF:

6.6

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1.4W

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the university of tokyo

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