Machine learningDeep learning / NLP / CV
多模态门控循环单元 (Multimodal GRU)
多模态门控循环单元 (Multimodal GRU) 扩展了门控循环单元 (Gated Recurrent Unit) 架构，以便在单个循环框架内联合处理来自多种输入模态（如文本、音频和视频帧）的序列数据。通过在输入或隐藏状态层面融合特定于模态的编码，它可以捕捉跨异构数据流的时间依赖性，并广泛应用于多模态情感分析、视频理解和视听语音识别。
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来源
- Cho, K., van Merriënboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., & Bengio, Y. (2014). Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. Proceedings of EMNLP 2014, 1724–1734. link ↗
- Zadeh, A., Chen, M., Poria, S., Cambria, E., & Morency, L.-P. (2017). Tensor Fusion Network for Multimodal Sentiment Analysis. Proceedings of EMNLP 2017, 1103–1114. link ↗
如何引用本页
ScholarGate. (2026, June 3). Multimodal Gated Recurrent Unit. ScholarGate. https://scholargate.app/zh/deep-learning/multimodal-gru
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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