多模态情感识别_一种基于多任务学习的多模态情感识别方法
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Abstract:
In order to learn more emotionally inclined video and speech representations through auxiliary tasks, and improve the effect of multi-modal fusion, this paper proposes a multi-modal sentiment recognition method based on multi-task learning. A multimodal sharing layer is used to learn the sentiment information of the visual and acoustic modes. The experiment on MOSI and MOSEI data sets shows that adding two auxiliary single-modal sentiment recognition tasks can learn more effective single-modal sentiment representations, and improve the accuracy of sentiment recognition by 0.8% and 2.5% respectively.
北京人形旗下天工造物具身智能开源社区，聚焦具身天工与慧思开物两大平台
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