Meta-RoMSA: A Reciprocal Translation and Modality Balancing Framework for Robust Multimodal Sentiment Analysis Using Meta-Learning
Multimodal sentiment analysis has demonstrated significant application potential. However, it faces critical challenges, including modal asynchrony, missing modalities, and noise interference. Existing methods exhibit notable limitations: they lack effective mechanisms for handling fine-grained rand...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2026-01-01
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| coleção: | IEEE Access |
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| Acesso em linha: | https://ieeexplore.ieee.org/document/11321098/ |
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