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Found 5 papers, 3 papers with code
Reasoning with Multi-Structure Commonsense Knowledge in Visual Dialog
In our model, the external knowledge is represented with sentence-level facts and graph-level facts, to properly suit the scenario of the composite of dialog history and image.
XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge
The results on MLQA and NER exhibit the superiority of XLM-K in knowledge related tasks.
KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue
Visual dialogue is a challenging task that needs to extract implicit information from both visual (image) and textual (dialogue history) contexts.
DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue
The ability of generating detailed and non-repetitive responses is crucial for the agent to achieve human-like conversation.
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
More importantly, we can tell which modality (visual or semantic) has more contribution in answering the current question by visualizing the gate values.
Ranked #6 on
Visual Dialog
on VisDial v0.9 val
