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