arXiv · 1901.08942
Improving Image Captioning by Leveraging Knowledge Graphs
Abstract
We explore the use of a knowledge graphs, that capture general or commonsense knowledge, to augment the information extracted from images by the state-of-the-art methods for image captioning. The results of our experiments, on several benchmark data sets such as MS COCO, as measured by CIDEr-D, a performance metric for image captioning, show that the variants of the state-of-the-art methods for image captioning that make use of the information extracted from knowledge graphs can substantially outperform those that rely solely on the information extracted from images.
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Yimin Zhou, Yiwei Sun, Vasant Honavar. 2019-01-25. Improving Image Captioning by Leveraging Knowledge Graphs. https://arxiv.org/abs/1901.08942
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