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Relation-Aware Graph Attention Network for Visual Question Answering
[article]
2019
arXiv
pre-print
In order to answer semantically-complicated questions about an image, a Visual Question Answering (VQA) model needs to fully understand the visual scene in the image, especially the interactive dynamics between different objects. We propose a Relation-aware Graph Attention Network (ReGAT), which encodes each image into a graph and models multi-type inter-object relations via a graph attention mechanism, to learn question-adaptive relation representations. Two types of visual object relations
arXiv:1903.12314v3
fatcat:2ed2iwme7jdwxaejelj3limvmu