Learning Visual Knowledge Memory Networks for Visual Question Answering
Visual question answering (VQA) requires joint comprehension of images and natural language questions, where many questions can't be directly or clearly answered from visual content but require reasoning from structured human knowledge with confirmation from visual content. This paper proposes visual knowledge memory network (VKMN) to address this issue, which seamlessly incorporates structured human knowledge and deep visual features into memory networks in an end-to-end learning framework... (read more)
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COCO
Visual Genome
DBpedia
Visual Question Answering
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
Memory Network
|
Working Memory Models |