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Visual question answering and visual dialogue tasks have been increasinglystudied in the multimodal field towards more practical real-world scenarios. Amore challenging task, audio visual scene-aware dialogue (AVSD), is proposed tofurther advance the technologies that connect audio, vision, and language,which introduces temporal video information and dialogue interactions between aquestioner and an answerer. This paper proposes an intuitive mechanism thatfuses features and attention in multiple stages in order to well integratemultimodal features, and the results demonstrate its capability in theexperiments. Also, we apply several state-of-the-art models in other tasks tothe AVSD task, and further analyze their generalization across different tasks.

Reactive Multi-Stage Feature Fusion for Multimodal Dialogue Modeling