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The More You Know: Using Knowledge Graphs for Image Classification
[article]
2017
arXiv
pre-print
One characteristic that sets humans apart from modern learning-based computer vision algorithms is the ability to acquire knowledge about the world and use that knowledge to reason about the visual world. Humans can learn about the characteristics of objects and the relationships that occur between them to learn a large variety of visual concepts, often with few examples. This paper investigates the use of structured prior knowledge in the form of knowledge graphs and shows that using this
arXiv:1612.04844v2
fatcat:r536v42zfbccpfkkptpzolcpdq